Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3799-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3799-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
14 Sep 2016
Review article |
| 14 Sep 2016
Determinants of modelling choices for 1-D free-surface flow and morphodynamics in hydrology and hydraulics: a review
Bruno Cheviron
CORRESPONDING AUTHOR
IRSTEA, UMR G-EAU, Gestion de l'Eau, Acteurs et Usages, 361 rue
Jean-François Breton, BP 5095, 34196 Montpellier CEDEX 5, France
Roger Moussa
INRA, UMR LISAH, Laboratoire d'étude des Interactions entre Sol
– Agrosystème – Hydrosystème, 2 Place Pierre Viala, 34060
Montpellier CEDEX 1, France
Related authors
Yassin Elamri, Bruno Cheviron, Annabelle Mange, Cyril Dejean, François Liron, and Gilles Belaud
Hydrol. Earth Syst. Sci., 22, 1285–1298, https://doi.org/10.5194/hess-22-1285-2018, https://doi.org/10.5194/hess-22-1285-2018, 2018
Short summary
Short summary
Agrivoltaism is the association of agricultural and photovoltaic energy production on the same land area, coping with the increasing pressure on land use and water resources while delivering clean and renewable energy. This paper shows how to operate the tilting-angle solar panels tested above the cultivated plots to remedy the often unexplored rain redistribution issues, by which large parts of the plot are sheltered, whereas concentrated fluxes are redirected on a few locations.
This article is included in the Encyclopedia of Geosciences
Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Proc. IAHS, 385, 103–109, https://doi.org/10.5194/piahs-385-103-2024, https://doi.org/10.5194/piahs-385-103-2024, 2024
Short summary
Short summary
Mediterranean water resources are more than ever exposed to the increasing demand of demographic and climatic evolution. To better understand these challenges, this article aimed to collect a hydrological database, establish a new climatic classification for hydrology purposes, identify the physiographic variability and homogeneity in the case of mountainous karstic catchments under snow influence, and analyzed the hydrological balance of 55 catchments according to different functional models.
This article is included in the Encyclopedia of Geosciences
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282, https://doi.org/10.5194/hess-25-1259-2021, https://doi.org/10.5194/hess-25-1259-2021, 2021
Short summary
Short summary
We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
This article is included in the Encyclopedia of Geosciences
Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Hydrol. Earth Syst. Sci., 24, 4503–4521, https://doi.org/10.5194/hess-24-4503-2020, https://doi.org/10.5194/hess-24-4503-2020, 2020
Short summary
Short summary
With serious concerns about global change rising in the Mediterranean, we established a new climatic classification to follow hydrological and ecohydrological activities. The classification coincided with a geographical distribution ranging from the most seasonal and driest class in the south to the least seasonal and most humid in the north. RCM scenarios showed that northern classes evolve to southern ones with shorter humid seasons and earlier snowmelt which might affect hydrologic regimes.
This article is included in the Encyclopedia of Geosciences
Mounir Mahdade, Nicolas Le Moine, Roger Moussa, Oldrich Navratil, and Pierre Ribstein
Hydrol. Earth Syst. Sci., 24, 3513–3537, https://doi.org/10.5194/hess-24-3513-2020, https://doi.org/10.5194/hess-24-3513-2020, 2020
Short summary
Short summary
We present an automatic procedure based on wavelet ridge extraction to identify some characteristics of alternating morphological units (e.g., pools to riffles). We used four hydro-morphological variables (velocity, hydraulic radius, bed shear stress, local channel direction angle). We find that the wavelengths are consistent with the values of the literature, and the use of a multivariate approach yields more robust results and ensures a consistent covariance of flow variables.
This article is included in the Encyclopedia of Geosciences
Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-381, https://doi.org/10.5194/hess-2019-381, 2019
Manuscript not accepted for further review
Short summary
Short summary
This Mediterranean climatic classification is useful in following up water resources management and ecohydrological applications. Climatic classes ranged from the most seasonal and dry in the South to the least seasonal and most humid in the North, showing up the climatic continuity and change trends visibility. The climate change impact simulated under RCP scenarios showed an increase of the average seasonality and aridity, with north classes slowly evolving towards moderate southern classes.
This article is included in the Encyclopedia of Geosciences
Camille Jourdan, Valérie Borrell-Estupina, David Sebag, Jean-Jacques Braun, Jean-Pierre Bedimo Bedimo, François Colin, Armand Crabit, Alain Fezeu, Cécile Llovel, Jules Rémy Ndam Ngoupayou, Benjamin Ngounou Ngatcha, Sandra Van-Exter, Eric Servat, and Roger Moussa
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-116, https://doi.org/10.5194/hess-2019-116, 2019
Publication in HESS not foreseen
Short summary
Short summary
In the theme Panta Rhei, this paper aims to develop a combined approach of data acquisition and a new semi-distributed non-stationary model taking into account land-use changes to reconstruct and predict annual runoff on an urban catchment in a data-sparse context. We use historical data and deploy a complementary short-term spatially-dense dedicated instrumentation. Applications were conducted on the tropical Mefou catchment (Yaoundé, Cameroon) to assess contributions of sub-catchments.
This article is included in the Encyclopedia of Geosciences
Yassin Elamri, Bruno Cheviron, Annabelle Mange, Cyril Dejean, François Liron, and Gilles Belaud
Hydrol. Earth Syst. Sci., 22, 1285–1298, https://doi.org/10.5194/hess-22-1285-2018, https://doi.org/10.5194/hess-22-1285-2018, 2018
Short summary
Short summary
Agrivoltaism is the association of agricultural and photovoltaic energy production on the same land area, coping with the increasing pressure on land use and water resources while delivering clean and renewable energy. This paper shows how to operate the tilting-angle solar panels tested above the cultivated plots to remedy the often unexplored rain redistribution issues, by which large parts of the plot are sheltered, whereas concentrated fluxes are redirected on a few locations.
This article is included in the Encyclopedia of Geosciences
Roger Moussa and Jean-Paul Lhomme
Hydrol. Earth Syst. Sci., 20, 4867–4879, https://doi.org/10.5194/hess-20-4867-2016, https://doi.org/10.5194/hess-20-4867-2016, 2016
Short summary
Short summary
A new physically based formulation is proposed to extend the Budyko framework under non-steady-state conditions, taking into account the change in water storage. The new formulation, which introduces an additional parameter, represents a generic framework applicable to any Budyko function at various time steps. It is compared to other formulations from the literature and the analytical solution of Greve et al. (2016) appears to be a particular case.
This article is included in the Encyclopedia of Geosciences
Jean-Paul Lhomme and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 4857–4865, https://doi.org/10.5194/hess-20-4857-2016, https://doi.org/10.5194/hess-20-4857-2016, 2016
Short summary
Short summary
The Budyko functions are matched with the complementary evaporation relationship. We show that there is a functional dependence between the Budyko functions and the drying power of the air. Examining the case where potential evaporation is calculated by means of a Priestley–Taylor type equation with a varying coefficient, we show that this coefficient should have a specified value as a function of the Budyko shape parameter and the aridity index.
This article is included in the Encyclopedia of Geosciences
C. Leauthaud, G. Belaud, S. Duvail, R. Moussa, O. Grünberger, and J. Albergel
Hydrol. Earth Syst. Sci., 17, 3059–3075, https://doi.org/10.5194/hess-17-3059-2013, https://doi.org/10.5194/hess-17-3059-2013, 2013
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Modelling approaches
Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China
Rapid spatio-temporal flood modelling via hydraulics-based graph neural networks
Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data
Technical Note: Monitoring discharge of mountain streams by retrieving image features with deep learning
Elucidating the role of soil hydraulic properties on aspect-dependent landslide initiation
Recession discharge from compartmentalized bedrock hillslopes
Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau
On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes
Spatiotemporal changes in flow hydraulic characteristics and soil loss during gully headcut erosion under controlled conditions
Estimation of rainfall erosivity based on WRF-derived raindrop size distributions
Physically based model for gully simulation: application to the Brazilian semiarid region
Assessing the perturbations of the hydrogeological regime in sloping fens due to roads
A review of the (Revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimates
Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting
Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope
A new method, with application, for analysis of the impacts on flood risk of widely distributed enhanced hillslope storage
Towards improved parameterization of a macroscale hydrologic model in a discontinuous permafrost boreal forest ecosystem
Reconstructing long-term gully dynamics in Mediterranean agricultural areas
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Multiresponse modeling of variably saturated flow and isotope tracer transport for a hillslope experiment at the Landscape Evolution Observatory
Use of satellite and modeled soil moisture data for predicting event soil loss at plot scale
Quantification of the influence of preferential flow on slope stability using a numerical modelling approach
Hydrological hysteresis and its value for assessing process consistency in catchment conceptual models
Derivation and evaluation of landslide-triggering thresholds by a Monte Carlo approach
Stable water isotope tracing through hydrological models for disentangling runoff generation processes at the hillslope scale
Analysis of landslide triggering conditions in the Sarno area using a physically based model
The influence of grid resolution on the prediction of natural and road-related shallow landslides
Incipient subsurface heterogeneity and its effect on overland flow generation – insight from a modeling study of the first experiment at the Biosphere 2 Landscape Evolution Observatory
Coupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians, USA
Predicting subsurface stormflow response of a forested hillslope – the role of connected flow paths
Interplay of riparian forest and groundwater in the hillslope hydrology of Sudanian West Africa (northern Benin)
A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution
A paradigm shift in stormflow predictions for active tectonic regions with large-magnitude storms: generalisation of catchment observations by hydraulic sensitivity analysis and insight into soil-layer evolution
Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems
Statistical analysis and modelling of surface runoff from arable fields in central Europe
Hydrological modelling of a slope covered with shallow pyroclastic deposits from field monitoring data
Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest, Puerto Rico
Characterization of groundwater dynamics in landslides in varved clays
A critical assessment of simple recharge models: application to the UK Chalk
The effect of spatial throughfall patterns on soil moisture patterns at the hillslope scale
Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems
Suspended sediment concentration–discharge relationships in the (sub-) humid Ethiopian highlands
A model of hydrological and mechanical feedbacks of preferential fissure flow in a slow-moving landslide
Scale effect on overland flow connectivity at the plot scale
Physical models for classroom teaching in hydrology
Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China
Effects of peatland drainage management on peak flows
A conceptual model of the hydrological influence of fissures on landslide activity
A structure generator for modelling the initial sediment distribution of an artificial hydrologic catchment
A novel explicit approach to model bromide and pesticide transport in connected soil structures
Shaojie Zhang, Xiaohu Lei, Hongjuan Yang, Kaiheng Hu, Juan Ma, Dunlong Liu, and Fanqiang Wei
Hydrol. Earth Syst. Sci., 28, 2343–2355, https://doi.org/10.5194/hess-28-2343-2024, https://doi.org/10.5194/hess-28-2343-2024, 2024
Short summary
Short summary
Antecedent effective precipitation (AEP) plays an important role in debris flow formation, but the relationship between AEP and the debris flow occurrence (Pdf) is still not quantified. We used numerical calculation and the Monte Carlo integration method to solve this issue. The relationship between Pdf and AEP can be described by the piecewise function, and debris flow is a small-probability event comparing to rainfall frequency because the maximum Pdf in Jiangjia Gully is only 15.88 %.
This article is included in the Encyclopedia of Geosciences
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 27, 4227–4246, https://doi.org/10.5194/hess-27-4227-2023, https://doi.org/10.5194/hess-27-4227-2023, 2023
Short summary
Short summary
To overcome the computational cost of numerical models, we propose a deep-learning approach inspired by hydraulic models that can simulate the spatio-temporal evolution of floods. We show that the model can rapidly predict dike breach floods over different topographies and breach locations, with limited use of ground-truth data.
This article is included in the Encyclopedia of Geosciences
Daniel Camilo Roman Quintero, Pasquale Marino, Giovanni Francesco Santonastaso, and Roberto Greco
Hydrol. Earth Syst. Sci., 27, 4151–4172, https://doi.org/10.5194/hess-27-4151-2023, https://doi.org/10.5194/hess-27-4151-2023, 2023
Short summary
Short summary
This study shows a methodological approach using machine learning techniques to disentangle the relationships among the variables in a synthetic dataset to identify suitable variables that control the hydrologic response of the slopes. It has been found that not only is the rainfall responsible for the water accumulation in the slope; the ground conditions (soil water content and aquifer water level) also indicate the activation of natural slope drainage mechanisms.
This article is included in the Encyclopedia of Geosciences
Chenqi Fang, Genyu Yuan, Ziying Zheng, Qirui Zhong, and Kai Duan
EGUsphere, https://doi.org/10.5194/egusphere-2023-659, https://doi.org/10.5194/egusphere-2023-659, 2023
Short summary
Short summary
Measuring discharge at steep, rocky mountain streams is challenging due to the difficulties in identifying cross-section characteristics and establishing stable stage-discharge relationships. We present a novel method using only a low-cost commercial camera and deep learning algorithms. Our study shows that deep convolutional neural networks can automatically recognize and retrieve complex stream features embedded in RGB images to achieve continuous discharge monitoring.
This article is included in the Encyclopedia of Geosciences
Yanglin Guo and Chao Ma
Hydrol. Earth Syst. Sci., 27, 1667–1682, https://doi.org/10.5194/hess-27-1667-2023, https://doi.org/10.5194/hess-27-1667-2023, 2023
Short summary
Short summary
In a localized area with the same vegetation, an overwhelming propensity of shallow landslides on the south-facing slope over the north-facing slope could not be attributed to plant roots. We provide new evidence from the pore water pressure of failing mass, unsaturated hydraulic conductivity, water storage, and drainage and the hillslope stability fluctuation to prove that the infinite slope model may be suitable for elucidating the aspect-dependent landslide distribution in the study area.
This article is included in the Encyclopedia of Geosciences
Clément Roques, David E. Rupp, Jean-Raynald de Dreuzy, Laurent Longuevergne, Elizabeth R. Jachens, Gordon Grant, Luc Aquilina, and John S. Selker
Hydrol. Earth Syst. Sci., 26, 4391–4405, https://doi.org/10.5194/hess-26-4391-2022, https://doi.org/10.5194/hess-26-4391-2022, 2022
Short summary
Short summary
Streamflow dynamics are directly dependent on contributions from groundwater, with hillslope heterogeneity being a major driver in controlling both spatial and temporal variabilities in recession discharge behaviors. By analysing new model results, this paper identifies the major structural features of aquifers driving streamflow dynamics. It provides important guidance to inform catchment-to-regional-scale models, with key geological knowledge influencing groundwater–surface water interactions.
This article is included in the Encyclopedia of Geosciences
Hongkai Gao, Chuntan Han, Rensheng Chen, Zijing Feng, Kang Wang, Fabrizio Fenicia, and Hubert Savenije
Hydrol. Earth Syst. Sci., 26, 4187–4208, https://doi.org/10.5194/hess-26-4187-2022, https://doi.org/10.5194/hess-26-4187-2022, 2022
Short summary
Short summary
Frozen soil hydrology is one of the 23 unsolved problems in hydrology (UPH). In this study, we developed a novel conceptual frozen soil hydrological model, FLEX-Topo-FS. The model successfully reproduced the soil freeze–thaw process, and its impacts on hydrologic connectivity, runoff generation, and groundwater. We believe this study is a breakthrough for the 23 UPH, giving us new insights on frozen soil hydrology, with broad implications for predicting cold region hydrology in future.
This article is included in the Encyclopedia of Geosciences
Fadji Z. Maina, Haruko M. Wainwright, Peter James Dennedy-Frank, and Erica R. Siirila-Woodburn
Hydrol. Earth Syst. Sci., 26, 3805–3823, https://doi.org/10.5194/hess-26-3805-2022, https://doi.org/10.5194/hess-26-3805-2022, 2022
Short summary
Short summary
We propose a hillslope clustering approach based on the seasonal changes in groundwater levels and test its performance by comparing it to several common clustering approaches (aridity index, topographic wetness index, elevation, land cover, and machine-learning clustering). The proposed approach is robust as it reasonably categorizes hillslopes with similar elevation, land cover, hydroclimate, land surface processes, and subsurface hydrodynamics, hence a similar hydrologic function.
This article is included in the Encyclopedia of Geosciences
Mingming Guo, Zhuoxin Chen, Wenlong Wang, Tianchao Wang, Qianhua Shi, Hongliang Kang, Man Zhao, and Lanqian Feng
Hydrol. Earth Syst. Sci., 25, 4473–4494, https://doi.org/10.5194/hess-25-4473-2021, https://doi.org/10.5194/hess-25-4473-2021, 2021
Short summary
Short summary
Gully headcut erosion is always a difficult issue in soil erosion, which hinders the revelation of gully erosion mechanisms and the establishment of a gully erosion model. This study clarified the spatiotemporal changes in flow properties, energy consumption, and soil loss, confirming that gully head consumed the most of flow energy (78 %) and can contribute 89 % of total soil loss. Critical energy consumption initiating soil erosion of the upstream area, gully head, and gully bed is confirmed.
This article is included in the Encyclopedia of Geosciences
Qiang Dai, Jingxuan Zhu, Shuliang Zhang, Shaonan Zhu, Dawei Han, and Guonian Lv
Hydrol. Earth Syst. Sci., 24, 5407–5422, https://doi.org/10.5194/hess-24-5407-2020, https://doi.org/10.5194/hess-24-5407-2020, 2020
Short summary
Short summary
Rainfall is a driving force that accounts for a large proportion of soil loss around the world. Most previous studies used a fixed rainfall–energy relationship to estimate rainfall energy, ignoring the spatial and temporal changes of raindrop microphysical processes. This study proposes a novel method for large-scale and long-term rainfall energy and rainfall erosivity investigations based on rainfall microphysical parameterization schemes in the Weather Research and Forecasting (WRF) model.
This article is included in the Encyclopedia of Geosciences
Pedro Henrique Lima Alencar, José Carlos de Araújo, and Adunias dos Santos Teixeira
Hydrol. Earth Syst. Sci., 24, 4239–4255, https://doi.org/10.5194/hess-24-4239-2020, https://doi.org/10.5194/hess-24-4239-2020, 2020
Short summary
Short summary
Soil erosion by water has been emphasized as a key problem to be faced in the 21st century. Thus, it is critical to understand land degradation and to answer fundamental questions regarding how and why such processes occur. Here, we present a model for gully erosion (channels carved by rainwater) based on existing equations, and we identify some major variables that influence the initiation and evolution of this process. The successful model can help in planning soil conservation practices.
This article is included in the Encyclopedia of Geosciences
Fabien Cochand, Daniel Käser, Philippe Grosvernier, Daniel Hunkeler, and Philip Brunner
Hydrol. Earth Syst. Sci., 24, 213–226, https://doi.org/10.5194/hess-24-213-2020, https://doi.org/10.5194/hess-24-213-2020, 2020
Short summary
Short summary
Roads in sloping fens constitute a hydraulic barrier for surface and subsurface flow. This can lead to the drying out of downslope areas of the fen as well as gully erosion. By combining fieldwork and numerical models, this study presents an assessment of the hydrogeological impact of three road structures especially designed to limit their impact. The study shows that the impact of roads on the hydrological regime in fens can be significantly reduced by using appropriate engineering measures.
This article is included in the Encyclopedia of Geosciences
Rubianca Benavidez, Bethanna Jackson, Deborah Maxwell, and Kevin Norton
Hydrol. Earth Syst. Sci., 22, 6059–6086, https://doi.org/10.5194/hess-22-6059-2018, https://doi.org/10.5194/hess-22-6059-2018, 2018
Short summary
Short summary
Soil erosion is a global problem and models identify vulnerable areas for management. One such model is the Revised Universal Soil Loss Equation. We review its different sub-factors and compile studies and equations that modified it for local conditions. The limitations of RUSLE include its data requirements and exclusion of gullying and landslides. Future directions include accounting for these erosion types. This paper serves as a reference for others working with RUSLE and related approaches.
This article is included in the Encyclopedia of Geosciences
Felipe Hernández and Xu Liang
Hydrol. Earth Syst. Sci., 22, 5759–5779, https://doi.org/10.5194/hess-22-5759-2018, https://doi.org/10.5194/hess-22-5759-2018, 2018
Short summary
Short summary
Predicting floods requires first knowing the amount of water in the valleys, which is complicated because we cannot know for sure how much water there is in the soil. We created a unique system that combines the best methods to estimate these conditions accurately based on the observed water flow in the rivers and on detailed simulations of the valleys. Comparisons with popular methods show that our system can produce realistic predictions efficiently, even for very detailed river networks.
This article is included in the Encyclopedia of Geosciences
Anna Botto, Enrica Belluco, and Matteo Camporese
Hydrol. Earth Syst. Sci., 22, 4251–4266, https://doi.org/10.5194/hess-22-4251-2018, https://doi.org/10.5194/hess-22-4251-2018, 2018
Short summary
Short summary
We present a multivariate application of the ensemble Kalman filter (EnKF) in hydrological modeling of a real-world hillslope test case with dominant unsaturated dynamics and strong nonlinearities. Overall, the EnKF is able to correctly update system state and soil parameters. However, multivariate data assimilation may lead to significant tradeoffs between model predictions of different variables, if the observation data are not high quality or representative.
This article is included in the Encyclopedia of Geosciences
Peter Metcalfe, Keith Beven, Barry Hankin, and Rob Lamb
Hydrol. Earth Syst. Sci., 22, 2589–2605, https://doi.org/10.5194/hess-22-2589-2018, https://doi.org/10.5194/hess-22-2589-2018, 2018
Short summary
Short summary
Flooding is a significant hazard and extreme events in recent years have focused attention on effective means of reducing its risk. An approach known as natural flood management (NFM) seeks to increase flood resilience by a range of measures that work with natural processes. The paper develops a modelling approach to assess one type NFM of intervention – distributed additional hillslope storage features – and demonstrates that more strategic placement is required than has hitherto been applied.
This article is included in the Encyclopedia of Geosciences
Abraham Endalamaw, W. Robert Bolton, Jessica M. Young-Robertson, Don Morton, Larry Hinzman, and Bart Nijssen
Hydrol. Earth Syst. Sci., 21, 4663–4680, https://doi.org/10.5194/hess-21-4663-2017, https://doi.org/10.5194/hess-21-4663-2017, 2017
Short summary
Short summary
This study applies plot-scale and hill-slope knowledge to a process-based mesoscale model to improve the skill of distributed hydrological models to simulate the spatially and basin-integrated hydrological processes of complex ecosystems in the sub-arctic boreal forest. We developed a sub-grid parameterization method to parameterize the surface heterogeneity of interior Alaskan discontinuous permafrost watersheds.
This article is included in the Encyclopedia of Geosciences
Antonio Hayas, Tom Vanwalleghem, Ana Laguna, Adolfo Peña, and Juan V. Giráldez
Hydrol. Earth Syst. Sci., 21, 235–249, https://doi.org/10.5194/hess-21-235-2017, https://doi.org/10.5194/hess-21-235-2017, 2017
Short summary
Short summary
Gully erosion is one of the most important erosion processes. In this study, we provide new data on gully dynamics over long timescales with an unprecedented temporal resolution. We apply a new Monte Carlo based method for calculating gully volumes based on orthophotos and, especially, for constraining uncertainties of these estimations. Our results show that gully erosion rates are highly variable from year to year and significantly higher than other erosion processes.
This article is included in the Encyclopedia of Geosciences
Giuseppe Formetta, Giovanna Capparelli, and Pasquale Versace
Hydrol. Earth Syst. Sci., 20, 4585–4603, https://doi.org/10.5194/hess-20-4585-2016, https://doi.org/10.5194/hess-20-4585-2016, 2016
Short summary
Short summary
This paper focuses on performance evaluation of simplified, physically based landslide susceptibility models. It presents a new methodology to systemically and objectively calibrate, verify, and compare different models and models performances indicators in order to individuate and select the models whose behavior is more reliable for a certain case study. The procedure was implemented in a package for landslide susceptibility analysis and integrated the open-source hydrological model NewAge.
This article is included in the Encyclopedia of Geosciences
Carlotta Scudeler, Luke Pangle, Damiano Pasetto, Guo-Yue Niu, Till Volkmann, Claudio Paniconi, Mario Putti, and Peter Troch
Hydrol. Earth Syst. Sci., 20, 4061–4078, https://doi.org/10.5194/hess-20-4061-2016, https://doi.org/10.5194/hess-20-4061-2016, 2016
Short summary
Short summary
Very few studies have applied a physically based hydrological model with integrated and distributed multivariate observation data of both flow and transport phenomena. In this study we address this challenge for a hillslope-scale unsaturated zone isotope tracer experiment. The results show how model complexity evolves as the number and detail of simulated responses increases. Possible gaps in process representation for simulating solute transport phenomena in very dry soils are discussed.
This article is included in the Encyclopedia of Geosciences
F. Todisco, L. Brocca, L. F. Termite, and W. Wagner
Hydrol. Earth Syst. Sci., 19, 3845–3856, https://doi.org/10.5194/hess-19-3845-2015, https://doi.org/10.5194/hess-19-3845-2015, 2015
Short summary
Short summary
We developed a new formulation of USLE, named Soil Moisture for Erosion (SM4E), that directly incorporates soil moisture information. SM4E is applied here by using modeled data and satellite observations obtained from the Advanced SCATterometer (ASCAT). SM4E is found to outperform USLE and USLE-MM models in silty–clay soil in central Italy. Through satellite data, there is the potential of applying SM4E for large-scale monitoring and quantification of the soil erosion process.
This article is included in the Encyclopedia of Geosciences
W. Shao, T. A. Bogaard, M. Bakker, and R. Greco
Hydrol. Earth Syst. Sci., 19, 2197–2212, https://doi.org/10.5194/hess-19-2197-2015, https://doi.org/10.5194/hess-19-2197-2015, 2015
Short summary
Short summary
The effect of preferential flow on the stability of landslides is studied through numerical simulation of two types of rainfall events on a hypothetical hillslope. A model is developed that consists of two parts. The first part is a model for combined saturated/unsaturated subsurface flow and is used to compute the spatial and temporal water pressure response to rainfall. Preferential flow is simulated with a dual-permeability continuum model consisting of a matrix/preferential flow domain.
This article is included in the Encyclopedia of Geosciences
O. Fovet, L. Ruiz, M. Hrachowitz, M. Faucheux, and C. Gascuel-Odoux
Hydrol. Earth Syst. Sci., 19, 105–123, https://doi.org/10.5194/hess-19-105-2015, https://doi.org/10.5194/hess-19-105-2015, 2015
Short summary
Short summary
We studied the annual hysteretic patterns observed between stream flow and water storage in the saturated and unsaturated zones of a hillslope and a riparian zone. We described these signatures using a hysteresis index and then used this to assess conceptual hydrological models. This led us to identify four hydrological periods and a clearly distinct behaviour between riparian and hillslope groundwaters and to provide new information about the model performances.
This article is included in the Encyclopedia of Geosciences
D. J. Peres and A. Cancelliere
Hydrol. Earth Syst. Sci., 18, 4913–4931, https://doi.org/10.5194/hess-18-4913-2014, https://doi.org/10.5194/hess-18-4913-2014, 2014
Short summary
Short summary
A Monte Carlo approach, combining rainfall-stochastic models and hydrological and slope stability physically based models, is used to derive rainfall thresholds of landslide triggering. The uncertainty in threshold assessment related to variability of rainfall intensity within events and to past rainfall (antecedent rainfall) is analyzed and measured via ROC-based indexes, with a specific focus dedicated to the widely used power-law rainfall intensity-duration (I-D) thresholds.
This article is included in the Encyclopedia of Geosciences
D. Windhorst, P. Kraft, E. Timbe, H.-G. Frede, and L. Breuer
Hydrol. Earth Syst. Sci., 18, 4113–4127, https://doi.org/10.5194/hess-18-4113-2014, https://doi.org/10.5194/hess-18-4113-2014, 2014
G. Capparelli and P. Versace
Hydrol. Earth Syst. Sci., 18, 3225–3237, https://doi.org/10.5194/hess-18-3225-2014, https://doi.org/10.5194/hess-18-3225-2014, 2014
D. Penna, M. Borga, G. T. Aronica, G. Brigandì, and P. Tarolli
Hydrol. Earth Syst. Sci., 18, 2127–2139, https://doi.org/10.5194/hess-18-2127-2014, https://doi.org/10.5194/hess-18-2127-2014, 2014
G.-Y. Niu, D. Pasetto, C. Scudeler, C. Paniconi, M. Putti, P. A. Troch, S. B. DeLong, K. Dontsova, L. Pangle, D. D. Breshears, J. Chorover, T. E. Huxman, J. Pelletier, S. R. Saleska, and X. Zeng
Hydrol. Earth Syst. Sci., 18, 1873–1883, https://doi.org/10.5194/hess-18-1873-2014, https://doi.org/10.5194/hess-18-1873-2014, 2014
J. Tao and A. P. Barros
Hydrol. Earth Syst. Sci., 18, 367–388, https://doi.org/10.5194/hess-18-367-2014, https://doi.org/10.5194/hess-18-367-2014, 2014
J. Wienhöfer and E. Zehe
Hydrol. Earth Syst. Sci., 18, 121–138, https://doi.org/10.5194/hess-18-121-2014, https://doi.org/10.5194/hess-18-121-2014, 2014
A. Richard, S. Galle, M. Descloitres, J.-M. Cohard, J.-P. Vandervaere, L. Séguis, and C. Peugeot
Hydrol. Earth Syst. Sci., 17, 5079–5096, https://doi.org/10.5194/hess-17-5079-2013, https://doi.org/10.5194/hess-17-5079-2013, 2013
S. R. Lutz, H. J. van Meerveld, M. J. Waterloo, H. P. Broers, and B. M. van Breukelen
Hydrol. Earth Syst. Sci., 17, 4505–4524, https://doi.org/10.5194/hess-17-4505-2013, https://doi.org/10.5194/hess-17-4505-2013, 2013
Makoto Tani
Hydrol. Earth Syst. Sci., 17, 4453–4470, https://doi.org/10.5194/hess-17-4453-2013, https://doi.org/10.5194/hess-17-4453-2013, 2013
M. N. Papa, V. Medina, F. Ciervo, and A. Bateman
Hydrol. Earth Syst. Sci., 17, 4095–4107, https://doi.org/10.5194/hess-17-4095-2013, https://doi.org/10.5194/hess-17-4095-2013, 2013
P. Fiener, K. Auerswald, F. Winter, and M. Disse
Hydrol. Earth Syst. Sci., 17, 4121–4132, https://doi.org/10.5194/hess-17-4121-2013, https://doi.org/10.5194/hess-17-4121-2013, 2013
R. Greco, L. Comegna, E. Damiano, A. Guida, L. Olivares, and L. Picarelli
Hydrol. Earth Syst. Sci., 17, 4001–4013, https://doi.org/10.5194/hess-17-4001-2013, https://doi.org/10.5194/hess-17-4001-2013, 2013
C. Lepore, E. Arnone, L. V. Noto, G. Sivandran, and R. L. Bras
Hydrol. Earth Syst. Sci., 17, 3371–3387, https://doi.org/10.5194/hess-17-3371-2013, https://doi.org/10.5194/hess-17-3371-2013, 2013
J. E. van der Spek, T. A. Bogaard, and M. Bakker
Hydrol. Earth Syst. Sci., 17, 2171–2183, https://doi.org/10.5194/hess-17-2171-2013, https://doi.org/10.5194/hess-17-2171-2013, 2013
A. M. Ireson and A. P. Butler
Hydrol. Earth Syst. Sci., 17, 2083–2096, https://doi.org/10.5194/hess-17-2083-2013, https://doi.org/10.5194/hess-17-2083-2013, 2013
A. M. J. Coenders-Gerrits, L. Hopp, H. H. G. Savenije, and L. Pfister
Hydrol. Earth Syst. Sci., 17, 1749–1763, https://doi.org/10.5194/hess-17-1749-2013, https://doi.org/10.5194/hess-17-1749-2013, 2013
G. Martelloni, S. Segoni, D. Lagomarsino, R. Fanti, and F. Catani
Hydrol. Earth Syst. Sci., 17, 1229–1240, https://doi.org/10.5194/hess-17-1229-2013, https://doi.org/10.5194/hess-17-1229-2013, 2013
C. D. Guzman, S. A. Tilahun, A. D. Zegeye, and T. S. Steenhuis
Hydrol. Earth Syst. Sci., 17, 1067–1077, https://doi.org/10.5194/hess-17-1067-2013, https://doi.org/10.5194/hess-17-1067-2013, 2013
D. M. Krzeminska, T. A. Bogaard, J.-P. Malet, and L. P. H. van Beek
Hydrol. Earth Syst. Sci., 17, 947–959, https://doi.org/10.5194/hess-17-947-2013, https://doi.org/10.5194/hess-17-947-2013, 2013
A. Peñuela, M. Javaux, and C. L. Bielders
Hydrol. Earth Syst. Sci., 17, 87–101, https://doi.org/10.5194/hess-17-87-2013, https://doi.org/10.5194/hess-17-87-2013, 2013
A. Rodhe
Hydrol. Earth Syst. Sci., 16, 3075–3082, https://doi.org/10.5194/hess-16-3075-2012, https://doi.org/10.5194/hess-16-3075-2012, 2012
G. Y. Gao, B. J. Fu, Y. H. Lü, Y. Liu, S. Wang, and J. Zhou
Hydrol. Earth Syst. Sci., 16, 2347–2364, https://doi.org/10.5194/hess-16-2347-2012, https://doi.org/10.5194/hess-16-2347-2012, 2012
C. E. Ballard, N. McIntyre, and H. S. Wheater
Hydrol. Earth Syst. Sci., 16, 2299–2310, https://doi.org/10.5194/hess-16-2299-2012, https://doi.org/10.5194/hess-16-2299-2012, 2012
D. M. Krzeminska, T. A. Bogaard, Th. W. J. van Asch, and L. P. H. van Beek
Hydrol. Earth Syst. Sci., 16, 1561–1576, https://doi.org/10.5194/hess-16-1561-2012, https://doi.org/10.5194/hess-16-1561-2012, 2012
T. Maurer, A. Schneider, and H. H. Gerke
Hydrol. Earth Syst. Sci., 15, 3617–3638, https://doi.org/10.5194/hess-15-3617-2011, https://doi.org/10.5194/hess-15-3617-2011, 2011
J. Klaus and E. Zehe
Hydrol. Earth Syst. Sci., 15, 2127–2144, https://doi.org/10.5194/hess-15-2127-2011, https://doi.org/10.5194/hess-15-2127-2011, 2011
Cited articles
Abbott, M. B.: Computational Hydraulics, Pitman, London, 324 pp., 1979.
Abrahams, A. D. and Parsons, A. J.: Hydraulics of interrill overland flow on stone-covered desert surfaces, Catena, 23, 111–140, 1994.
Abrahams, A. D., Parsons, A. J., and Luk, S. H.: Resistance to overland flow on desert hillslopes, J. Hydrol., 88, 343–363, 1986.
Achdou, Y., Pironneau, O., and Valentin, F.: Effective boundary conditions for laminar flows over periodic rough boundaries, J. Comput. Phys., 147, 187–218, 1998.
Afzalimehr, H. and Anctil, F.: Velocity distribution and shear velocity behavior of decelerating flows over a gravel bed, Can. J. Civil Eng., 26, 468–475, 1999.
Afzalimehr, H. and Anctil, F.: Accelerating shear velocity in gravel-bed channels, Hydrolog. Sci. J., 45, 113–124, 2000.
Afzalimehr, H., Dey, S., and Rasoulianfar, P.: Influence of decelerating flow on incipient motion of a gravel-bed stream, Sadhana-Acad. P. Eng. S., 32, 545–559, 2007.
Akan, A. O. and Yen, B. C.: Diffusion-wave flood routing in channel networks, J. Hydr. Eng. Div.-ASCE, 107, 719–732, 1981.
Aksoy, H. and Kavvas, M. L.: A review of hillslope and watershed scale erosion and sediment transport models, Catena, 64, 247–271, 2005.
Alavian, V., Jirka, G. H., Denton, R. A., Johnson, M. A., and Stefan, H. G.: Density currents entering lakes and reservoirs, J. Hydraul. Eng.-ASCE, 118, 1464–1489, 1992.
Allen, P. A.: Time scales of tectonic landscapes and their sediment routing systems, Geological Society of London, Special Publications, 296, 7–28, 2008.
Alonso, C. V., Bennett, S. J., and Stein, O. R.: Predicting head cut erosion and migration in concentrated flows typical of upland areas, Water Resour. Res., 38, 1303, https://doi.org/10.1029/2001WR001173, 2002.
Alonso, R., Santillana, M., and Dawson, C.: On the diffusive wave approximation of the shallow water equations, Eur. J. Appl. Math., 19, 575–606, 2008.
Ancey, C. and Heyman, J.: A microstructural approach to bed load transport: mean behaviour and fluctuations of particle transport rates, J. Fluid Mech., 744, 129–168, 2014.
Ascough II, J. C., Baffaut, C., Nearing, M. A., and Liu, B. Y.: The WEPP watershed model: I. Hydrology and erosion, T. ASAE, 40, 921–933, 1997.
Audusse, E., Bristeau, M. O., and Decoene, A.: Numerical simulations of 3D surface flows by a multilayer Saint-Venant model, Int. J. Numer. Meth. Fl., 56, 331–350, 2008.
Aziz, N. M. and Scott, D. E.: Experiments on sediment transport in shallow flows in high gradient channels, Hydrolog. Sci. J., 34, 465–478, 1989.
Bagnold, R. A.: Experiments on the gravity-free dispersion of large solid spheres in a Newtonian fluid under shear, P. Roy. Soc. Lond. A Mat., 225, 49–63, 1954.
Bagnold, R. A.: The flow of cohesionless grains in fluids, Philos. T. R. Soc. A, 249, 235–297, 1956.
Bagnold, R. A.: An approach to the sediment transport problem from general physics, US Geological Survey Professional Paper 442-I, Washington DC, US Government Printing Office, 42 pp., 1966.
Bajracharya, K. and Barry, D. A.: Accuracy criteria for linearised diffusion wave flood routing, J. Hydrol., 195, 200–217, 1997.
Ballio, F., Nikora, V., and Coleman, S. E.: On the definition of solid discharge in hydro-environment research and applications, J. Hydraul. Res., 52, 173–184, 2014.
Barenblatt, G. I.: Dimensional Analysis, Gordon and Breach Science Publishers, New York, 135 pp., 1987.
Basson, A. and Gerard-Varet, D.: Wall laws for fluid flows at a boundary with random roughness, Commun. Pur. Appl. Math., 61, 941–987, 2008.
Batchelor, G. K.: Transport properties of two-phase materials with random structure, Annu. Rev. Fluid Mech., 6, 227–255, 1974.
Bates, P. D. and De Roo, A. P. J.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, 2000.
Bates, P. D., Horritt, M. S., and Fextrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation model, J. Hydrol., 387, 33–45, 2010.
Bathurst, J. C.: Flow resistance estimation in mountain rivers, J. Hydraul. Eng.-ASCE, 111, 625–643, 1985.
Bathurst, J. C.: At-a-site variation and minimum flow resistance for mountain rivers, J. Hydrol., 269, 11–26, 2006.
Bayazit, M.: Free surface flow in a channel of large relative roughness, J. Hydraul. Res., 14, 115–126, 1976.
Beasley, D. B., Huggins, L. F., and Monke, E. J.: ANSWERS: a model for watershed planning, T. ASAE, 23, 938–944, 1980.
Belaud, G. and Paquier, A.: Sediment diversion through irrigation outlets, J. Irrig. Drain. E.-ASCE, 127, 35–38, 2001.
Beltaos, S., Tang, P., and Rowsell, R.: Ice jam modelling and field data collection for flood forecasting in the Saint John River, Canada, Hydrol. Process., 26, 2535–2545, 2012.
Bennett, J. P.: Concepts of mathematical modelling of sediment yield, Water Resour. Res., 10, 485–492, 1974.
Bennett, S. J., Alonso, C. V., Prasad, S. N., and Römkens, M. J. M.: Experiments on headcut growth and migration in concentrated flows typical of upland areas, Water Resour. Res., 36, 1911–1922, 2000.
Berger, R. C. and Stockstill, R. L.: Finite-element model for high-velocity channels, J. Hydraul. Eng.-ASCE, 121, 710–715, 1995.
Bertrand, J.: Sur l'homogénéité dans les formules de physique, Comptes Rendus de l'Académie des Sciences, 86, 916–920, 1878.
Best, J. L.: On the entrainment of sediment and initiation of bed defects: insights from recent developments within turbulent boundary layer research, Sedimentology, 39, 797–811, 1992.
Beven, K. J.: Rainfall-runoff modelling, the primer, John Wiley & Sons, Chichester, UK, 360 pp., 2000.
Blandford, G. E. and Meadows, M. E.: Finite element simulation of nonlinear kinematic surface runoff, J. Hydrol., 119, 335–356, 1990.
Blom, A.: Different approaches to handling vertical and streamwise sorting in modeling river morphodynamics, Water Resour. Res., 44, W03415, https://doi.org/10.1029/2006WR005474, 2008.
Blöschl, G. and Sivapalan, M.: Scale issues in hydrological modeling: a review, Hydrol. Process., 9, 251–290, 1995.
Boardman, J.: Soil erosion science: Reflections on the limitation of current approaches, Catena, 68, 73–86, 2006.
Bombardelli, F. A. and Jha, S. K.: Hierarchical modeling of dilute, suspended-sediment transport in open channels, Environ. Fluid Mech., 9, 207, https://doi.org/10.1007/s10652-008-9091-6, 2009.
Booker, D. J., Sear, D. A., and Payne, A. J.: Modelling three-dimensional flow structures and patterns of boundary shear stress in a natural pool-riffle sequence, Earth Surf. Proc. Land., 26, 553–576, 2001.
Bouchut, F. and Westdickenberg, M.: Gravity-driven shallow water models for arbitrary topography, Commun. Math. Sci., 2, 359–389, 2004.
Bouchut, F., Mangeney-Castelnau, A., Perthame, B., and Vilotte, J.-P.: A new model of Saint-Venant and Savage-Hutter type for gravity driven shallow water flows, Comptes-Rendus de l'Académie des Sciences de Paris, 336, 531–536, 2003.
Bounvilay, B.: Transport velocities of bedload particles in rough open channels flows, PhD thesis, Department of Civil Engineering, Colorado State University, USA, 2003.
Boussinesq, J.: Essai sur la théorie des eaux courantes, Mémoires à l'Académie des Sciences, T23–24, 1–680, 1877.
Bracken, L. J., Wainwright, J., Ali, G. A., Tetzlaff, D., Smith, M. W., Reaney, S. M., and Roy, A. G.: Concepts of hydrological connectivity: research approaches, pathways and future agendas, Earth-Sci. Rev., 119, 17–34, 2013.
Bridgman, P. W.: Dimensional Analysis, Yale University Press, New Haven, 1922.
Bridgman, P. W.: Dimensional Analysis, Yale Paperbound, New Haven, 113 pp., 1963.
Brinkman, H. C.: A calculation of the viscous force exerted by a flowing fluid on a dense swarm of particles. Appl. Sci. Res. Sect. A, 1, 27 pp., 1947.
Buckingham, E.: On physically similar systems; illustrations of the use of dimensional equations, Phys. Rev., 4, 345–376, 1914.
Bucur, D., Feireisl, E., Necasova, S., and Wolf, J.: On the asymptotic limit of the Navier–Stokes system on domains with rough boundaries, J. Differ. Equations, 244, 2890–2908, 2008.
Bucur, D., Feireisl, E., and Necasova, S.: Boundary behavior of viscous fluids: influence of wall roughness and friction-driven boundary conditions, Arch. Ration. Mech. An., 197, 117–138, 2010.
Buffington, J. M. and Montgomery, D. R.: A systematic analysis of eight decades of incipient motion studies, with special reference to gravel-bedded rivers, Water Resour. Res., 33, 1993–2029, 1997.
Burguete, J., Garcia-Navarro, P., and Murillo, J.: Friction-term Discretization and limitation to preserve stability and conservation in the 1D shallow-water model: application to unsteady irrigation and river flow, Int. J. Numer. Meth. Fl., 58, 403–425, 2008.
Camacho, L. A. and Lees, M. J.: Multilinear discrete lag-cascade model for channel routing, J. Hydrol., 226, 30–47, 1999.
Campisano, A., Creaco, E., and Modica, C.: Experimental and numerical analysis of the scouring effects of flushing waves on sediment deposits, J. Hydrol., 299, 324–334, 2004.
Canovaro, F. and Solari, L.: Dissipative analogies between a schematic macro-roughness arrangement and step-pool morphology, Earth Surf. Proc. Land., 32, 1628–1640, 2007.
Cao, Z., Pender, G., Wallis, S., and Carling, P.: Computational dam-break hydraulics over erodible sediment bed, J. Hydraul. Eng.-ASCE, 130, 689–703, 2004.
Carlier, M.: Hydraulique générale et appliquée, Eyrolles, Paris, 565 pp., 1980.
Carollo, F. G., Ferro, V., and Termini, D.: Analyzing turbulence intensity in gravel bed channels, J. Hydraul. Eng.-ASCE, 131, 1050–1061, 2005.
Casado-Diaz, J., Fernandez-Cara, E., and Simon, J.: Why viscous fluids adhere to rugose walls: a mathematical explanation, J. Differ. Equations, 189, 526–537, 2003.
Cassan, L. and Belaud, G.: Experimental and numerical investigation of flow under sluice gates, J. Hydraul. Eng.-ASCE, 138, 367–373, 2012.
Cassan, L., Belaud, G., Baume, J., and Dejean, C.: Seasonal Variation of Velocity Fields in Lined Channels: Impact on Flow Measurement, World Environmental and Water Resources Congress, 20–22 May 2012, Albuquerque, New Mexico, USA, 2188–2197, https://doi.org/10.1061/9780784412312.219, 2012.
Chahinian, N., Moussa, R., Andrieux, P., and Voltz, M.: Comparison of infiltration models to simulate flood events at the field scale, J. Hydrol., 306, 191–214, 2005.
Chanson, H.: Comparison of energy dissipation between nappe and skimming flow regimes on stepped chutes, J. Hydraul. Res., 32, 213–218, 1994a.
Chanson, H.: Hydraulics of skimming flow over stepped channels and spillways, J. Hydraul. Res., 32, 445–460, 1994b.
Chanson, H.: The Hydraulics of Stepped Chutes and Spillways, A. A. Balkema, Brookfield, Vt., 384 pp., 2001.
Charlier, J.-B.: Fonctionnement et modélisation hydrologique d'un petit bassin versant cultivé en milieu volcanique tropical, Thèse de Doctorat, Université de Montpellier 2, Montpellier, France, 246 pp., 2007.
Charlier, J.-B., Cattan, P., Voltz, M., and Moussa, R.: Transport of a nematicide in surface and ground waters in a tropical volcanic catchment, J. Environ. Qual., 38, 1031–1041, 2009.
Charpin, J. P. F. and Myers, T. G.: Modelling thin film flow with erosion and deposition, Adv. Water Resour., 28, 761–722, 2005.
Charru, F.: Selection of the ripple length on a granular bed sheared by a liquid flow, Phys. Fluids, 18, 121508, https://doi.org/10.1063/1.2397005, 2006.
Charru, F., Mouilleron-Arnould, H., and Eiff, O.: Erosion and deposition of particles on a bed sheared by a viscous flow, J. Fluid Mech., 519, 59–80, 2004.
Chartrand, S. M. and Whiting, P. J.: Alluvial architecture in headwater streams with special emphasis on step-pool topography, Earth Surf. Proc. Land., 25, 583–600, 2000.
Chen, C. L.: Momentum and energy coefficients based on power-law velocity profile, J. Hydraul. Eng.-ASCE, 118, 1571–1584, 1992.
Chen, R. C. and Wu, J. L.: The flow characteristics between two interactive spheres, Chem. Eng. Sci., 55, 1143–1158, 2000.
Chiari, M.: Numerical modelling of bedload transport in torrents and mountain streams, PhD thesis, University of natural resources and applied life sciences, Vienna, Austria, 212 pp., 2008.
Chin, A.: The morphologic structure of step-pools in mountain streams, Geomorphology, 27, 191–204, 1999.
Chin, A. and Wohl, E.: Toward a theory for step pools in stream channels, Prog. Phys. Geog., 29, 275–296, 2005.
Chinnarasri, C. and Wongwise, S.: Flow patterns and energy dissipation over various stepped chutes, J. Irrig. Drain. E.-ASCE, 132, 70–76, 2006.
Choi, G. W. and Molinas, A.: Simultaneous solution algorithm for channel network modelling, Water Resour. Res., 29, 321–328, 1993.
Chow, V. T.: Open-Channel Hydraulics, McGraw Hill, New York, 680 pp., 1959.
Chua, L. H. C. and Wong, T. S. W.: Improving event-based rainfall–runoff modeling using a combined artificial neural network–kinematic wave approach, J. Hydrol., 390, 92–107, 2010.
Chua, L. H. C. and Wong, T. S. W.: Runoff forecasting for an asphalt plane by Artificial Neural Networks and comparisons with kinematic wave and autoregressive moving average models, J. Hydrol., 397, 191–201, 2011.
Chua, L. H. C., Wong, T. S. W., and Sriramula, L. K.: Comparison between kinematic wave and artificial neural network models in event-based runoff simulation for an overland plane, J. Hydrol., 357, 337–348, 2008.
Church, M.: Geomorphic thresholds in riverine landscapes, Freshwater Biol., 47, 541–557, 2002.
Church, M. and Zimmermann, A.: Form and stability of step-pool channels: research progress, Water Resour. Res., 43, W03415, https://doi.org/10.1029/2006WR005037, 2007.
Cimorelli, L., Cozzolino, L., Della Morte, R., Pianese, D., and Singh, V. P.: A new frequency domain analytical solution of a cascade of diffusive channels for flood routing, Water Resour. Res., 51, 2393–2411, 2015.
Cimorelli, L., Cozzolino, L., D'Aniello, A., Morlando, F., Pianese, D., and Singh, V. P.: A new semi-Lagrangian routing procedure for constituent transport in steady and unsteady flow velocity fields, J. Hydrol., 538, 216–230, 2016.
Colebrook, C. F. and White, C. M.: Experiments with fluid friction in roughened pipes, P. Roy. Soc. Lond. A Mat., 161, 367–381, 1937.
Coleman, N. L.: A theoretical and experimental study of drag and lift forces acting on a sphere resting on a hypothetical streambed, in: Proceedings of 12th IAHR Congress, Int. Assoc. of Hydraul. Eng. and Res., Madrid, 3, 185–192, 1967.
Colombini, M.: A decade's investigation of the stability of erodible stream beds, J. Fluid Mech., 756, 1–4, 2014.
Cooper, J. R., Aberle, J., Koll, K., and Tait, S. J.: Influence of relative submergence on spatial variance and form-induced stress of gravel-bed flows, Water Resour. Res., 49, 5765–5777, 2013.
Croke, J. and Mockler, S.: Gully initiation and road-to-stream linkage in a forested catchment, south-eastern Australia, Earth Surf. Proc. Land., 26, 205–217, 2001.
Cunge, J. A.: On the subject of a flood propagation computation method (Muskingum method), J. Hydraul. Res., 7, 205–230, 1969.
Cunge, J. A., Holly, F. M., and Verwey, A.: Practical aspects of computational river hydraulics, Pitman Advanced Publishing Program, London, 420 pp., 1980.
Daluz Vieira, J. H.: Conditions governing the use of approximations for the Saint-Venant equations for shallow water flow, J. Hydrol., 60, 43–58, 1983.
Darcy, H.: Recherches expérimentales relatives au mouvement de l'eau dans les tuyaux, Mallet-Bachelier, Paris, 268 pp. and atlas, 1857 (in French).
Davies, A. G., Ribberink, J. S., Temperville, A., and Zyserman, J. A.: Comparisons between sediment transport models and observations made in wave and current flows above plane beds, Coast. Eng., 31, 163–198, 1997.
Day, T. J.: A study of the transport of graded sediments, HRS Wallingford, Report No. IT190, April, 10 pp., 1980.
de Chézy, A.: Mémoire sur la vitesse de l'eau conduite dans une rigole donnée, Fonds Ancien de l'Ecole Nationale des Ponts et Chaussées – No. 847, reprinted in: Annales des Ponts et Chaussées, 60, 1921, 1775.
de Marsily, G.: Quantitative hydrogeology, Academic Press, Inc., Orlando, FL, USA, 464 pp., 1986.
de Marsily, G.: On the use of models in hydrology (free opinion), Revue des Sciences de l'Eau, 7, 219–234, 1994.
de Roo, A. P. J., Wesseling, C. G., and Ritsema, C. J.: LISEM: a single event physically-based hydrologic and soil erosion model for drainage basins. I: Theory, input and output, Hydrol. Process., 10, 1107–1117, 1996.
de Saint-Venant, A. J.-C. B.: Théorie du mouvement non permanent des eaux, avec application aux crues des rivières et à l'introduction des marées dans leur lit, Comptes-Rendus de l'Académie des Sciences, 73, 147–154 and 237–240, 1871.
Devauchelle, O., Josserand, C., Lagrée, P.-Y., and Zaleski, S.: Morphodynamic modelling of erodible laminar channels, Phys. Rev. E, 76, 056318, https://doi.org/10.1103/PhysRevE.76.056318, 2007.
Devauchelle, O., Malverti, L., Lajeunesse, E., Josserand, C., Lagrée, P.-Y., and Métivier, F.: Rhomboid beach pattern: a laboratory investigation, J. Geophys. Res., 115, F02017, https://doi.org/10.1029/2009JF001471, 2010.
Dey, S. and Papanicolaou, A.: Sediment threshold under stream flow: A state-of-the-art review, KSCE J. Civ. Eng., 12, 45–60, 2008.
Dimitriadis, P., Tegos, A., Oikonomou, A., Pagana, V., Koukouvinos, A., Mamassis, N., Koutsoyiannis, D., and Efstratiadis, A.: Comparative evaluation of 1D and quasi-2D hydraulic models based on benchmark and real-world applications for uncertainty assessment in flood mapping, J. Hydrol., 534, 478–492, 2016.
Dittrich, A. and Koll, K.: Velocity field and resistance of flow over rough surfaces with large and small relative roughness, Int. J. Sediment Res., 12, 21–33, 1997.
Drake, T. G., Shreve, R. L., Dietrich, W. E., Whiting, P. J., and Leopold, L. B.: Bedload transport of fine gravel observed by motion picture photography, J. Fluid Mech., 192, 193–217, 1988.
Drew, D. A.: Mathematical modelling of two-phase flow, Annu. Rev. Fluid Mech., 15, 261–291, 1983.
Du Boys, D.: Le Rhône et les rivières à lit affouillables, Annales des Ponts et Chaussées, Série, 5, 141–195, 1879.
Du Buat, P.: Principes d'hydraulique et de pyrodynamique vérifiés par un grand nombre d'expériences faites par ordre du gouvernement, Firmin Didot Ed., Paris, 1779.
Dunkerley, D.: Determining friction coefficients for interrill flows: the significance of flow filaments and backwater effects, Earth Surf. Proc. Land., 28, 475–491, 2003.
Dunkerley, D.: Flow threads in surface run-off: implications for the assessment of flow properties and friction coefficients in soil erosion and hydraulics investigations, Earth Surf. Proc. Land., 29, 1011–1026, 2004.
Egiazaroff, I. V.: Calculation of nonuniform sediment concentrations, J. Hydr. Eng. Div.-ASCE, 91, 225–247, 1965.
Einstein, A.: Eine neue Bestimmung der Moleküldimensionen, Ann. Phys., 19, 289–306, 1906.
Einstein, H. A.: The bed-load function for sediment transportation in open channel flows, US Department of Agriculture, Soil Conservation Service, Technical Bulletin No. 1026, 74 pp., 1950.
Einstein, H. A. and Banks, R. B.: Fluid resistance of composite roughness, EOS T. Am. Geophys. Un., 31, 603–610, 1950.
Elga, S., Jan, B., and Okke, B.: Hydrological modelling of urbanized catchments: A review and future directions, J. Hydrol., 529, 62–81, 2015. Elghobashi, S.: Particle-laden turbulent flows: direct simulation and closure model, Appl. Sci. Res., 48, 301–314, 1991.
Elghobashi, S.: On predicting particle-laden turbulent flows, Appl. Sci. Res., 52, 309–329, 1994.
Elhanafy, H., Copeland, G. J. M., and Gejadze, I. Y.: Estimation of predictive uncertainties in flood wave propagation in a river channel using adjoint sensitivity analysis, Int. J. Numer. Meth. Fl., 56, 1201–1207, 2008.
Emmanuel, I., Andrieu, H., Leblois, E., Janey, N., and Payrastre, O.: Influence of rainfall spatial variability on rainfall–runoff modelling: Benefit of a simulation approach?, J. Hydrol., 531, 337–348, 2015.
Emmett, W. W.: The hydraulics of overland flow on hillslopes, United States Geological Survey, Professional Paper 662-A, US Government Printing Office, Washington, DC, 1970.
Engelund, F. and Fredsoe, J.: Sediment transport model for straight alluvial channels, Nord. Hydrol., 7, 293–306, 1976.
Exner, F. M.: Über die Wechselwirkung zwischen Wasser und Geschiebe in Flüssen, Sitzungsberichte der kaiserlichen Akademie der Wissenchaften Wien, Abteilung IIa, 134, 165–205, 1925.
Fan, P. and Li, J. C.: Diffusive wave solutions for open channel flows with uniform and concentrated lateral inflow, Adv. Water Resour., 29, 1000–1019, 2006.
Feng, Z. G. and Michaelides, E. E.: Interparticle forces and lift on a particle attached to a solid boundary in suspension flow, Phys. Fluids, 14, 49–60, 2002.
Ferguson, R.: Flow resistance equations for gravel- and boulder-bed streams, Water Resour. Res., 43, W05427, https://doi.org/10.1029/2006WR005422, 2007.
Fernandez-Luque, R. and van Beek, R.: Erosion and Transport of Bed-Load Sediment, J. Hydraul. Res., 14, 127–144, 1976.
Fernando, H. J. S. (Ed.): Environmental Fluid Dynamics: A Brief Introduction, in: Handbook of Environmental Fluid Dynamics, CRC Press, New York, Volume 1: Overview and Fundamentals, 696 pp., 2012.
Ferrick, M. G.: Analysis of wave types, Water Resour. Res., 21, 209–212, 1985.
Ferro, V.: Flow resistance in gravel-bed channels with large-scale roughness, Earth Surf. Proc. Land., 28, 1325–1339, 2003.
Foster, G. R. and Meyer, L. D.: A closed-form soil erosion equation for upland areas, in: Sedimentation, edited by: Shen, H. W., Colorado State University, Fort Collins, CO, 12.1–12.19, 1972.
Fourier, J. B.: Théorie analytique de la chaleur, Chez Firmin Didot, Père et Fils, Paris, 1822.
Fovet, O., Litrico, X., Belaud, G., and Genthon, O.: Adaptive control of algae detachment in regulated canal networks, J. Hydroinform., 15, 321–334, 2013.
French, R. H.: Open-channel hydraulics, New York, McGraw-Hill, 705 pp., 1985.
Froude, W.: Observations and suggestions on the subject of determining by experiment the resistance of ships, Correspondence with the Admiralty, Chelston Cross, December 1868, reprinted in: The papers of William Froude, The Institution of Naval Architects, London, 1955, 120–128, 1868.
Gao, P. and Abrahams, A. D.: Bedload transport resistance in rough open-channel flows, Earth Surf. Proc. Land., 29, 423–435, 2004.
Garcia, M. and Parker, G.: Experiments on the entrainment of sediment into suspension by a dense bottom current, J. Geophys. Res., 98, 4793–4807, 1993.
Gaur, M. L. and Mathur, B. S.: Modeling event-based temporal variability of flow resistance coefficient, J. Hydrol. Eng., 8, 266–277, 2003.
Gejadze, I. Y. and Copeland, G. J. M.: Open boundary control problem for Navier–Stokes equations including a free surface: adjoint sensitivity analysis, Comput. Math. Appl., 52, 1243–1268, 2006.
Gerard-Varet, D. and Masmoudi, N.: Relevance of the slip condition for fluid flows near an irregular boundary, Commun. Math. Phys., 295, 99–137, 2010.
Gerbeau, J.-F. and Perthame, B.: Derivation of a viscous Saint-Venant system for laminar shallow water; numerical validation, Discrete Cont. Dyn.-B, 1, 89–102, 2001.
Ghavasieh, A.-R., Poulard, C., and Paquier, A.: Effect of roughened strips on flood propagation: assessment on representative virtual cases and validation, J. Hydrol., 318, 121–137, 2001.
Gimenez, R. and Govers, G.: Interaction between bed roughness and flow hydraulics in eroding rills, Water Resour. Res., 37, 791–799, 2001.
Gimenez, R., Planchon, O., Silvera, N., and Govers, G.: Longitudinal velocity patterns and bed morphology interaction in a rill, Earth Surf. Proc. Land., 29, 105–114, 2004.
Gironás, J., Niemann, J. D., Roesner, L. A., Rodriguez, F., and Andrieu, H.: A morpho-climatic instantaneous unit hydrograph model for urban catchments based on the kinematic wave approximation, J. Hydrol., 377, 317–334, 2009.
Gioia, G. and Bombardelli, F. A.: Scaling and similarity in rough channel flows, Phys. Rev. Lett., 88, 014501, https://doi.org/10.1103/PhysRevLett.88.014501, 2001.
Govers, G.: Evaluation of transporting capacity formulae for overland flow, in: Overland Flow Hydraulics and Erosion Mechanics, edited by: Parsons, A. J. and Abrahams, A. D., UCL Press, London, 243–273, 1992.
Grant, G. E.: Critical flow constrains flow hydraulics in mobile-bed streams: a new hypothesis, Water Resour. Res., 33, 349–358, 1997.
Grant, G. E., Swanson, F. J., and Wolman, M. G.: Pattern and origin of stepped-bed morphology in high-gradient streams, Wetern Cascades, Oregon, Geol. Soc. Am. Bull., 102, 340–352, 1990.
Gregoretti, C., Degetto, M., and Boreggio, M.: GIS-based cell model for simulating debris flow runout on a fan, J. Hydrol., 534, 326–340, 2016.
Gresho, P. M. and Sani, R. L.: Incompressible Flow and the Finite Element Method, John Wiley & Sons, Inc., New York, NY, USA, 1998.
Guinot, V. and Cappelaere, B.: Sensitivity analysis of 2D steady-state shallow water flow. Application to the surface flow model calibration, Adv. Water Resour., 32, 540–560, 2009.
Gumiere, S. J., Le Bissonnais, Y., Raclot, D., and Cheviron, B.: Vegetated filter effects on sedimentological connectivity of agricultural catchments in erosion modelling: a review, Earth Surf. Proc. Land., 36, 3–19, 2011a.
Gumiere, S. J., Raclot, D., Cheviron, B., Davy, G., Louchart, X., Fabre, J. C., Moussa, R., and Le Bissonnais, Y.: MHYDAS-Erosion: a distributed single-storm water erosion model for agricultural catchment, Hydrol. Process., 25, 1717–1728, 2011b.
Hairsine, P. B. and Rose, C. W.: Modeling water erosion due to overland flow using physical principles. 1. Sheet flow, Water Resour. Res., 28, 237–243, 1992a.
Hairsine, P. B. and Rose, C. W.: Modeling water erosion due to overland flow using physical principles. 2. Rill flow, Water Resour Res., 28, 245–250, 1992b.
Hallema, D. and Moussa, R.: A model for distributed GIUH-based flow routing on natural and anthropogenic hillslopes, Hydrol. Process., 28, 4877–4895, https://doi.org/10.1002/hyp.9984, 2013.
Happel, J. and Brenner, H.: Low Reynolds Number Hydrodynamics, Englewood Cliffs, Prentice Hall, NJ, 1965.
Härtel, C.: Turbulent flows: direct numerical simulation and large-eddy simulation, in: Handbook of Computational Fluid Mechanics, edited by: Peyret R., Elsevier, New York, 283–338, 1996.
Hauke, G.: A stabilized finite element method for the Saint-Venant equations with application to irrigation, Int. J. Numer. Meth. Fl., 38, 963–984, 2002.
Hayami, S.: On the propagation of flood waves, Disaster Prevention Research Institute Bulletin, 1, 1–16, 1951.
Henderson, F. M.: Open Channel Hydraulics, MacMillan and Co., New York, 1966.
Hénine, H., Nédélec, Y., and Ribstein, P.: Coupled modelling of the effect of overpressure on water discharge in a tile drainage system, J. Hydrol., 511, 39–48, 2014.
Hessel, R.: Consequences of hyperconcentrated flow for process-based soil erosion modelling on the Chinese Loess Plateau, Earth Surf. Proc. Land., 31, 1100–1114, 2006.
Hessel, R., Jetten, V., and Ganghui, Z.: Estimating Manning's n for steep slopes, Catena, 54, 77–91, 2003.
Hino, M.: Turbulent flows with suspended particles, J. Hydr. Eng. Div.-ASCE, 89, 161–185, 1963.
Hirano, M.: On phenomena of river-bed lowering and armouring below reservoirs, presented at: 14th Hydraulics Lecture Meeting, Civ. Eng. Assoc. Hydraul. Comm., Tokyo, 13–14 February 1970.
Hjulström, F.: Studies of the morphological activity of rivers as illustrated by the river Fyris, Bulletin of the Geology Institute of Uppsala, 25, 221–527, 1935.
Hogarth, W. L., Parlange, J.-Y., Rose, C. W., Fuentes, C., Haverkamp, R., and Walter, M. T.: Interpolation between Darcy–Weisbach and Darcy for laminar and turbulent flows, Adv. Water Resour., 28, 1028–1031, 2005.
Holden, J., Kirkby, M. J., Lane, S. N., Milledge, D. G., Brookes, C. J., Holden, V., and McDonald, A. T.: Overland flow velocity and roughness properties in peatlands, Water Resour. Res., 44, W06415, https://doi.org/10.1029/2007WR006052, 2008.
Hornberger, G. M. and Boyer, E. W.: Recent advances in watershed modelling. US National report to the IUGG 1991–1994, Rev. Geophys., 33, Supplement S2, 949–957, 1995.
Horritt, M. S. and Bates, P. D.: Evaluation of 1D and 2D numerical models for predicting river flood inundation, J. Hydrol., 268, 87–99, 2002.
Horton, R. E.: Erosional development of streams and their drainage basins: hydrological approach to quantitative morphology, Bull. Geol. Soc. Am., 56, 275–370, 1945.
Hould-Gosselin, G., Rousseau, A. N., Gumiere, S. J., Hallema, D. W., Ratté-Fortin, C., Thériault, G., and van Bochove, E.: Modeling the sediment yield and the impact of vegetated filters using an event-based soil erosion model – a case study of a small Canadian watershed. Hydrol. Process., 30, 2835–2850, https://doi.org/10.1002/hyp.10817, 2016.
Howard, A. D.: A detachment-limited model of drainage basin evolution, Water Resour. Res., 30, 2261–2285, 1994.
Hromadka, T. V. and De Vries, J. J.: Kinematic wave routing and computational error, J. Hydraul. Eng.-ASCE, 114, 207–217, 1988.
Ikeda, S.: Incipient motion of sand particles on side slopes, J. Hydraul. Eng.-ASCE, 108, 95–114, 1982.
Iwagaki, Y.: Fundamental studies on the runoff analysis by characteristics, Disaster Prevention Research Institute Bulletin, Kyoto, 10, 25 pp., 1955.
Izumi, N. and Parker, G.: Linear stability of channel inception: downstream-driven theory, J. Fluid Mech., 283, 341–363, 1995.
Jäger, W. and Mikelic, A.: On the roughness-induced effective boundary conditions for an incompressible viscous flow, J. Differ. Equations, 170, 96–122, 2001.
Jäger, W. and Mikelic, A.: Couette flow over a rough boundary and drag reduction, Commun. Math. Phys., 232, 429–455, 2003.
Jain, M. K. and Singh, V. P.: DEM-based modelling of surface runoff using diffusive wave equation, J. Hydrol., 302, 107–126, 2005.
Jansons, K. M.: Determination of the macroscopic (partial) slip boundary condition for a viscous flow over a randomly rough surface with a perfect slip microscopic boundary condition, Phys. Fluids, 31, 15–17, 1988.
Järvelä, J.: Determination of flow resistance caused by non-submerged woody vegetation, International Journal of River Basin Management, 2, 61–70, 2004.
Järvelä, J.: Effect of flexible vegetation on flow structure and resistance, J. Hydrol., 307, 233–241, 2005.
Jetten, V., de Roo, A., and Favis-Mortlock, D.: Evaluation of field-scale and catchment-scale soil erosion models, Catena, 37, 521–541, 1999.
Jetten, V., Govers, G., and Hessel, R.: Erosion models: quality of spatial predictions, Hydrol. Process., 17, 887–900, 2003.
Jha, S. K. and Bombardelli, F. A.: Two-phase modelling of turbulence in dilute sediment-laden, open-channel flows, Environ. Fluid Mech., 9, 237–266, 2009.
Johnson, R. W.: Handbook of fluid dynamics, CRC Press, Boca Raton, FL, USA, 1952 pp., 1998.
Julien, P. Y.: Erosion and sedimentation, Cambridge, UK, 2010.
Julien, P. Y. and Bounvilay, B.: Velocity of rolling bed load particles, J. Hydraul. Eng.-ASCE, 139, 177–186, 2013.
Julien, P. Y. and Simons, D. B.: Sediment transport capacity of overland flow, Transactions of the American Society of Agricultural Engineers, 28, 755–762, 1985.
Katopodes, N. D.: On zero-inertia and kinematic waves, J. Hydraul. Eng.-ASCE, 108, 1380–1385, 1982.
Katopodes, N. D. and Bradford, S. F.: Mechanics of overland flow, Proceedings of the International Workshop on Numerical Modelling of Hydrodynamic Systems, Zaragoza, Spain, 21–24 June 1999.
Keshavarzy, A. and Ball, J. E.: Analysis of the characteristics of rough bed turbulent shear stresses in an open channel, Stoch. Hydrol. Hydraul., 11, 193–210, 1997.
Keskin, M. E. and Agiralioglu, N.: A simplified dynamic model for flood routing in rectangular channels, J. Hydrol., 202, 302–314, 1997.
Keulegan, G. H.: Laws of turbulent flow in open channels, paper RP1151, Journal of Research of the National Bureau of Standards, 21, 707–741, 1938.
Kidanemariam, A. G. and Uhlmann, M.: Direct numerical simulation of pattern formation in subaqueous sediment, J. Fluid Mech., 750, R2, https://doi.org/10.1017/jfm.2014.284, 2014.
Kim, J. and Ivanov, V.: On the nonuniqueness of sediment yield at the catchment scale: the effects of soil antecedent conditions and surface shield, Water Resour. Res., 50, 1025–1045, 2014.
Kim, J. and Ivanov, V.: A holistic, multi-scale dynamic downscaling framework for climate impact assessments and challenges of addressing finer-scale watershed dynamics, J. Hydrol., 522, 645–660, 2015.
Kim, J., Moin, P., and Moser, R.: Turbulence statistics in fully-developed channel flow at low Reynolds number, J. Fluid Mech., 177, 133–166, 1987.
Kim, J., Ivanov, V. Y., and Katopodes, N. D.: Hydraulic resistance to overland flow on surfaces with partially submerged vegetation, Water Resour. Res., 48, W10540, https://doi.org/10.1029/2012WR012047, 2012.
King, H. W. and Brater, E. F.: Handbook of Hydraulics, 5th Edn., McGraw-Hill Book Company, New York, 1963.
Kinnell, P.: Why the universal soil loss equation and the revised version of it do not predict erosion well, Invited Commentary in Hydrological Processes, 19, 851–854, 2005.
Kirkby, M. J.: Tests of the random network model, and its application to basin hydrology, Earth Surface Processes, 1, 197–212, 1976.
Kirkby, M. J.: Hillslope Hydrology, John Wiley & Sons, Chichester, UK, 389 pp., 1978.
Kirkby, M. J.: The stream head as a significant geomorphic threshold, in: Threshold in Geomorphology, edited by: Coates, D. R. and Vitek, J. D., George Allen and Unwin, London, 53–73, 1980.
Kirkby, M. J.: Sediment travel distance as an experimental and model variable in particulate movement, in: Erosion, Transport and Deposition Processes, edited by: Bork, H.-R., de Ploey, J., and Schick, A. P., Catena Supplement, 19, 111–128, 1991.
Kirkby, M. J.: An erosion-limited hillslope evolution model, in: Functional Geomorphology: Landform Analysis and Models, edited by: Schmidt, K.-H., and de Ploey, J., Catena Supplement, 23, 157–187, 1992.
Kirstetter, G., Hub, J., Delestre, O., Darboux, F., Lagrée, P. Y., Popinet, S., Fullana, J. M., and Josserand, C.: Modeling rain-driven overland flow: Empirical versus analytical friction terms in the shallow water approximation, J. Hydrol., 536, 1–9, 2016.
Klemeš, V.: Dilletantism in hydrology: Transition or destiny?, Water Resour. Res., 22, 177–188, 1986.
Kline, S. J., Reynolds, W. C., Schraub, F. A., and Runstadler, P. W.: The structure of turbulent boundary layers, J. Fluid Mech., 30, 741–773, 1967.
Kneller, B. and Buckee, C.: The structure and fluid mechanics of turbidity currents: a review of some recent studies and their geological implications, Sedimentology, 47, 62–94, 2001.
Knisel, W. G.: Creams, a field scale model for chemicals, runoff and erosion from agricultural management systems, U.C.R. Report USDA no. 26, 1980.
Koomey, J., Berard, S., Sanchez, M., and Wong, H.: Implications of historical trends in the electrical efficiency of computing, IEEE Ann. Hist. Comput., 33, 46–54, 2010.
Koussis, A. D.: Theoretical estimation of flood routing parameters, J. Hydr. Eng. Div.-ASCE, 104, 109–115, 1978.
Kramer, C. and Papanicolaou, A.: The Effects of Relative Submergence on Cluster Formation in Gravel Bed Streams, Impacts of Global Climate Change, 1–12, 2005.
Kuchment, L. S.: Matematicheskoye modelirovanye rechnogo stoka (Mathematical Models of River Flow. Gidrometeoizdat, Leningrad, 190 pp., 1972 (in Russian).
Laflen, J. M., Lane, L. J., and Foster, G. R.: A new generation in erosion-prediction technology, J. Soil Water Conserv., 46, 34–38, 1991.
Lagrée, P.-Y.: A triple-deck model of ripple formation and evolution, Phys. Fluids, 15, 2355–2368, 2003.
Lajeunesse, E., Malverti, L., Lancien, P., Armstrong, L., Métivier, F., Coleman, S., Smith, C. E., Davies, T., Cantelli, A., and Parker, G.: Fluvial and submarine morphodynamics of laminar and near-laminar flows, Sedimentology, 57, 1–26, 2010.
Lamarre, H. and Roy, A.: The role of morphology on the displacement of particles in a step-pool river system, Geomorphology, 99, 270–279, 2008.
Lamb, M. P., Dietrich, W. E., and Venditti, J. G.: Is the critical Shields stress for incipient sediment motion dependent on channel-bed slope?, J. Geophys. Res., 113, F02008, https://doi.org/10.1029/2007JF000831, 2008a.
Lamb, M. P., Dietrich, W. E., and Sklar, L. S.: A model for fluvial bedrock incision by impacting suspended and bed load sediment, J. Geophys. Res., 113, F03025, https://doi.org/10.1029/2007JF000915, 2008b.
Lane, L. and Woolhiser, D.: Simplifications of watershed geometry affecting simulation of surface runoff, J. Hydrol., 35, 173–190, 1977.
Lane, S. N., Richards, K. S., and Chandler, J. H.: Application of distributed sensitivity analysis to a model of turbulent open-channel flow in a natural river channel, Proc. R. Soc. Lon. Ser.-A, 447, 49–63, 1994.
Langhaar, H. L.: Dimensional Analysis and the Theory of Models, Wiley, New York, 166 pp., 1951.
Lawless, M. and Robert, A.: Scales of boundary resistance in coarse-grained channels, turbulent velocity profiles and implications, Geomorphology, 39, 221–238, 2001.
Lawrence, D. S. L.: Macroscale surface roughness and frictional resistance in overland flow, Earth Surf. Proc. Land., 22, 365–382, 1997.
Lawrence, D. S. L.: Hydraulic resistance in overland flow during partial and marginal surface inundation: experimental observations and modeling, Water Resour. Res., 36, 2381–2393, 2000.
Leal, L. G.: Particle motions in a viscous fluid, Annu. Rev. Fluid Mech., 12, 435–476, 1980.
Leonard, A.: Energy cascade in large-eddy simulation of turbulent channel flow, Adv. Geophys., 18, 237–248, 1974.
Leopold, L. B., Bagnold, R. A., Wolman, M. G., and Brush Jr., L. M.: Flow resistance in sinuous or irregular channels, U.S. Geological Survey Professional Paper 282-C, 134 pp., 1960.
Liggett, J. A. and Woolhiser, D. A.: Difference solutions of the shallow-water equation, J. Hydr. Eng. Div.-ASCE, 93, 39–71, 1967.
Lighthill, M. J. and Whitham, G. B.: On kinematic waves, 1. Flood movement in long rivers, P. R. Soc. A, 229, 281–316, 1955.
Lilburne, L.: The scale matcher: A framework for assessing scale compatibility of environmental data and models, PhD thesis, University of Otago, Dunedin, New Zealand, 392 pp., 2002.
Lobkovsky, A. E., Orpe, A. V., Molloy, R., Kudrolli, A., and Rothman, D. H.: Erosion of a granular bed driven by laminar fluid flow, J. Fluid Mech., 605, 47–58, 2008.
Loucks, D. P. and van Beek, E.: Water Resources Systems Planning and Management – An Introduction to Methods, Models and Applications, Studies and Reports in Hydrology series, UNESCO Publishing/WL – Delft Hydraulics, 680 pp., 2005.
Lyn, D. A.: Unsteady sediment transport modeling, J. Hydraul. Eng.-ASCE, 113, 1–15, 1987.
Lyn, D. A.: Turbulence characteristics of sediment-laden flows in open channels, J. Hydraul. Eng.-ASCE, 118, 971–988, 1992.
Lyn, D. A. and Altinakar, M.: St. Venant Exner equations for near-critical and transcritical flows, J. Hydraul. Eng.-ASCE, 128, 579–587, 2002.
Manes, C., Pokrajac, D., Coceal, O., and McEwan, I.: On the significance of form-induced stress in rough wall turbulent boundary layers, Acta Geophys., 56, 845–861, 2008.
Mangeney, A., Bouchut, F., Thomas, N., Vilotte, J. P., and Bristeau, M. O.: Numerical modeling of self-channeling granular flows and of their levee-channel deposits, J. Geophys. Res., 112, F02017, https://doi.org/10.1029/2006JF000469, 2007.
Manning, R.: On the flow of water in open channels and pipes, Transactions of the Institution of Civil Engineers of Ireland, 20, 161–207, 1871.
Marche, F.: Derivation of a new two-dimensional viscous shallow water model with varying topography, bottom friction and capillary effects, Eur. J. Mech. B-Fluid, 26, 49–63, 2007.
Mavriplis, D.: On Convergence Acceleration Techniques for Unstructured Meshes, Technical Report ICASE No. 98-44 and NASA/CR-1998-208732, Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, Hampton, Virginia, 1998.
Miedema, S. A.: Constructing the Shields curve, a new theoretical approach and its applications, WODCON XIX, Beijing China, September 2010.
Meile, T.: Influence of macro-roughness of walls on steady and unsteady flow in a channel, PhD thesis, Ecole Polytechnique Fédérale de Lausanne, 414 pp., 2007.
Mendoza, C. and Zhou, D.: Energetics of sediment-laden streamflows, Water Resour. Res., 33, 227–234, 1997.
Merritt, W. S., Letche, R. A., and Jakeman, A. J.: A review of erosion and sediment transport models, Environ. Modell. Softw., 18, 761–799, 2003.
Métivier, F. and Meunier, P.: Input and output flux correlations in an experimental braided stream: implications on the dynamics of the bed load transport, J. Hydrol., 271, 22–38, 2003.
Meyer-Peter, E. and Müller, R.: Formulas for bed-load transport, Proceedings of the Second Meeting of IAHR, Stochkolm, 39–64, 1948.
Milliman, J. D. and Syvitski, J. P. M.: Geomorphic/tectonic control of sediment discharge to the ocean: the importance of small mountainous rivers, J. Geol., 100, 525–544, 1992.
Mizanur, R. S. M. and Chaudhry, M. H.: Flood routing in channels with flood plains, J. Hydrol., 171, 75–91, 1995.
Moore, G. E.: Cramming More Components onto Integrated Circuits, Electronics, 114–117, 1965.
Montgomery, D. R. and Buffington, J. M.: Channel-reach morphology in mountain drainage basins, Geol. Soc. Am. Bull., 109, 596–611, 1997.
Morgan, R. P. C., Quinton, J. N., Smith, R. E., Govers, G., Poesen, J., Auerwald, K., Chisci, G., Torri, D., and Styczen, M. E.: The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments, Earth Surf. Proc. Land., 23, 527–544, 1998.
Mosselman, E.: Modelling sediment transport and morphodynamics of gravel-bed rivers, in: Gravel bed rivers: processes, tools, environments, Wiley and Sons Ltd., Chichester, UK, 101–115, 2012.
Mosselman, E. and Le, T. B.: Five common mistakes in fluvial morphodynamic modeling, Adv. Water Resour., 93, 15–20, 2016.
Moussa, R.: Analytical Hayami solution for the diffusive wave flood routing problem with lateral inflow, Hydrol. Process., 10, 1209–1227, 1996.
Moussa, R. and Bocquillon, C.: Criteria for the choice of flood-routing methods in natural channels, J. Hydrol., 186, 1–30, 1996a.
Moussa, R. and Bocquillon, C.: Algorithms for solving the diffusive wave flood routing equation, Hydrol. Process., 10, 105–124, 1996b.
Moussa, R. and Bocquillon, C.: Approximation zones of the Saint-Venant equations f flood routing with overbank flow, Hydrol. Earth Syst. Sci., 4, 251–260, https://doi.org/10.5194/hess-4-251-2000, 2000.
Moussa, R. and Bocquillon, C.: On the use of the diffusive wave for modelling extreme flood events with overbank flow in the floodplain, J. Hydrol., 374, 116–135, 2009.
Moussa, R. and Chahinian, N.: Comparison of different multi-objective calibration criteria using a conceptual rainfall-runoff model of flood events, Hydrol. Earth Syst. Sci., 13, 519–535, https://doi.org/10.5194/hess-13-519-2009, 2009.
Moussa, R., Voltz, M., and Andrieux, P.: Effects of the spatial organization of agricultural management on the hydrological behaviour of a farmed catchment during flood events, Hydrol. Process., 16, 393–412, 2002.
Moussa, R., Chahinian, N., and Bocquillon, C.: Distributed hydrological modelling of a Mediterranean mountainous catchment – model construction and multi-site validation, J. Hydrol., 337, 35–51, 2007.
Mügler, C., Planchon, O., Patin, J., Weill, S., Silvera, N., Richard, P., and Mouche, E.: Comparison of roughness models to simulate overland flow and tracer transport experiments under simulated rainfall at plot scale, J. Hydrol., 402, 25–40, 2010.
Mulder, T. and Alexander, J.: The physical character of subaqueous sedimentary density flows and their deposits, Sedimentology, 48, 269–299, 2001.
Munier, S., Litrico, X., Belaud, G., and Malaterre, P.-O.: Distributed approximation of open-channel flow routing accounting for backwater effects, Adv. Water Resour., 31, 1590–1602, 2008.
Muñoz-Carpena, R., Parsons, J. E., and Gillian, J. W.: Modelling hydrology and sediment transport in vegetative filter strips, J. Hydrol., 214, 111–129, 1999.
Myers, T. G.: Unsteady laminar flow over a rough surface, J. Eng. Math., 46, 111–126, 2003.
Nabi, M., de Vriend, H. J., Mosselman, E., Sloff, C. J., and Shimizu, Y.: Detailed simulation of morphodynamics: 1. Hydrodynamic model, Water Resour. Res., 48, W12523, https://doi.org/10.1029/2012WR011911, 2012.
Nabi, M., de Vriend, H. J., Mosselman, E., Sloff, C. J., and Shimizu, Y.: Detailed simulation of morphodynamics: 2. Sediment pickup, transport, and deposition, Water Resour. Res., 49, 4775–4791, 2013a.
Nabi, M., de Vriend, H. J., Mosselman, E., Sloff, C. J., and Shimizu, Y.: Detailed simulation of morphodynamics: 3. Ripples and dunes, Water Resour. Res., 49, 5930–5943, 2013b.
Nakagawa, H. and Nezu, I.: Prediction of the contributions to the Reynolds stress from bursting events in open channel flows, J. Fluid Mech., 80, 99–128, 1977.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models, part I – A discussion of principles, J. Hydrol., 10, 282–290, 1970.
Navier, C. L. M. H.: Mémoire sur les lois du mouvement des fluides, Mémoires de l'Académie Royale des Sciences de l'Institut de France, 6, 389–440, 1822.
Navier, C. L. M. H.: Sur les lois de l'équilibre et du mouvement des corps élastiques, Mémoires de l'Académie Royale des Sciences de l'Institut de France, 7, 375–393, 1827.
Nearing, M. A., Nichols, M. H., Stone, J. J., Renard, K. G., and Simanton, J. R.: Sediment yields from unit-source semiarid watersheds at Walnut Gulch, Water Resour. Res., 43, W06426, https://doi.org/10.1029/2006WR005692, 2007.
Neill, C. R.: A re-examination of the beginning of movement for coarse granular bed materials, Hydraulic Research Station, Wallingford, England, Report No. 68, 37 pp., 1968.
Nelson, J. M., Shreve, R. L., McLean, D. C., and Drake, T. G.: Role of near-bed turbulence structure in bed load transport and bed form mechanics, Water Resour. Res., 31, 2071–2086, 1995.
Nepf, H.: Drag, turbulence, and diffusion in flow through emergent vegetation, Water Resour. Res., 35, 479–489, 1999.
Nepf, H.: Hydrodynamics of vegetated channels, J. Hydraul. Res., 50, 262–279, 2012.
Newton, I.: Philosophiæ Naturalis – Principia Mathematica, 1st Edn., London, UK, 512 pp., 1687.
Nezu, I. and Nekagawa, H.: Turbulence in open-channel flows, Balkema, Rotterdam, The Netherlands, 286 pp., 1993.
Nikora, V. and Goring, D.: Flow turbulence over fixed and weakly mobile gravel beds, J. Hydraul. Eng.-ASCE, 126, 679–690, 2000.
Nikora, V., Goring, D., McEwan, I., and Griffiths, G.: Spatially-averaged open-channel flow over a rough bed, J. Hydraul. Eng.-ASCE, 127, 123–133, 2001.
Nikora, V., Larned, S., Nikora, N., Debnath, K., Cooper, G., and Reid, M.: Hydraulic resistance due to aquatic vegetation in small streams: field study, J. Hydraul. Eng.-ASCE, 134, 1326–1332, 2008.
Nino, Y., Lopez, F., and Garcia, M.: Threshold for particle entrainment into suspension, Sedimentology, 50, 247–263, 2003.
Nord, G. and Esteves, M.: The effect of soil type, meteorological forcing and slope gradient on the simulation of internal erosion processes at the local scale, Hydrol. Process., 24, 1766–1780, 2010.
Ouriémi, M., Aussillous, P., Medale, M., Peysson, Y., and Guazzelli, E.: Determination of the critical Shields number for particle erosion in laminar flow, Phys. Fluids, 19, 061706, https://doi.org/10.1063/1.2747677, 2007.
Paiva, R. C. D., Collischonn, W., and Buarque, D. C.: Validation of a full hydrodynamic model for large-scale hydrologic modelling in the Amazon, Hydrol. Process., 27, 333–346, 2013.
Pan, Y., Weill, S., Ackerer, P., and Delay, F.: A coupled stream flow and depth-integrated subsurface flow model for catchment hydrology, J. Hydrol., 530, 66–78, 2015.
Paniconi, C. and Putti, M.: Physically based modeling in catchment hydrology at 50: Survey and outlook, Water Resour. Res., 51, 7090–7129, 2015.
Panton, R. L.: Incompressible Flow, John Wiley and Sons, New York, 780 pp., 1984.
Paola, C., Heller, P. L., and Angevine, C. L.: The large-scale dynamics of grain-size variation in alluvial basins. I: Theory, Basin Res., 4, 73–90, 1992.
Paola, C., Straub, K., Mohrig, D., and Reinhardt, L.: The "unreasonable effectiveness" of stratigraphic and geomorphic experiments, Earth-Sci. Rev., 97, 1–43, 2009.
Papanicolaou, A. N., Diplas, P., Dancey, C. L., and Balakrishnan, M.: Surface roughness effects in near-bed turbulence: implications to sediment entrainment, J. Eng. Mech.-ASCE, 127, 211–218, 2001.
Parker, G.: On the cause and characteristic scales of meandering and braiding in rivers, J. Fluid Mech., 76, 457–480, 1976.
Parker, G.: Self-formed straight rivers with equilibrium banks and mobile bed. Part 1: The sand-silt river, J. Fluid Mech., 89, 109–125, 1978a.
Parker, G.: Self-formed straight rivers with equilibrium banks and mobile bed. Part 2: The gravel river, J. Fluid Mech., 89, 127–146, 1978b.
Parker, G. and Coleman, N. L.: Simple model of sediment-laden flows, J. Hydraul. Eng.-ASCE, 112, 356–375, 1986.
Parker, G., Fukushima, Y., and Pantin, H. M.: Self-accelerating turbidity currents, J. Fluid Mech., 171, 145–181, 1986.
Parsons, A. J. and Abrahams, A. D.: Overland flow: hydraulics and erosion mechanics, Chapman & Hall, New-York, 438 pp., 1992.
Parsons, A. J., Wainwright, J., Abraham, A. D., and Simanton, J. R.: Distributed dynamic modelling of interrill overland flow, Hydrol. Process., 11, 1833–1859, 1997.
Parsons, A. J., Brazier, R. E., Wainwright, J., and Powell, M. E.: Scale relationships in hillslope runoff and erosion, Earth Surf. Proc. Land., 31, 1384–1393, 2003.
Parsons, A. J., Wainwright, J., Powell, D. M., Kaduk, J., and Brazier, R. E.: A conceptual model for understanding and predicting erosion by water, Earth Surf. Proc. Land., 29, 1293–1302, 2004.
Pearson, C. P.: One-dimensional flow over a plane: Criteria for kinematic wave modelling, J. Hydrol., 111, 39-48, https://doi.org/10.1016/0022-1694(89)90251-5, 1989.
Perkins, S. P. and Koussis, A. D.: Stream-aquifer interaction model with diffusive wave routing, J. Hydraul. Eng.-ASCE, 122, 210–218, 1996.
Perumal, M. and Price, R. K.: A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification, J. Hydrol., 502, 89–102, 2013.
Peyras, L., Royet, P., and Degoutte, G.: Flow and energy dissipation over stepped gabion weirs, J. Hydraul. Eng.-ASCE, 118, 707–717, 1992.
Pickup, G. and Marks, A.: Regional scale sedimentation process models from airborne gamma ray remote sensing and digital elevation data, Earth Surf. Proc. Land., 26, 273–293, 2001.
Pokrajac, D., Campbell, L. J., Nikora, V., Manes, C., and McEwan, I.: Quadrant analysis of persistent spatial velocity perturbations over square-bar roughness, Exp. Fluids, 42, 413–423, 2007.
Polyakov, V. O. and Nearing, M. A.: Sediment transport in rill flow under deposition and detachment conditions, Catena, 51, 33–43, 2003.
Ponce, V. M.: Generalized diffusive wave equation with inertial effects, Water Resour. Res., 26, 1099–1101, 1990.
Ponce, V. M.: The Kinematic Wave Controversy, J. Hydraul. Eng.-ASCE, 117, 511–525, 1991.
Ponce, V. M. and Simons, D. B.: Shallow wave propagation in open channel flow, J. Hydr. Eng. Div.-ASCE, 103, 1461–1476, 1977.
Ponce, V. M., Li, R. M., and Simons, D. B.: Applicability of kinematic and diffusion models, J. Hydr. Eng. Div.-ASCE, 104, 353–360, 1978.
Ponce, V. M., Lohani, A. K., and Scheyhing, C.: Analytical verification of Muskingum-Cunge routing, J. Hydrol., 174, 235–241, 1996.
Powell, D. M.: Flow resistance in gravel-bed rivers: progress in research, Earth-Sci. Rev., 136, 301–338, 2014.
Prahl, L., Holzer, A., Arlov, D., Revstedt, J., Sommerfeld, M., and Fuchs, L.: On the interaction between two fixed spherical particles, Int. J. Multiphas. Flow, 33, 707–725, 2007.
Priezjev, N. and Troian, S.: Influence of periodic wall roughness on the slip behaviour at liquid/solid interfaces: molecular-scale simulations versus continuum predictions, J. Fluid Mech., 554, 25–46, 2006.
Prosser, I. P. and Rustomji, P.: Sediment transport capacity for overland flow, Prog. Phys. Geog., 24, 179–193, 2000.
Prosser, I. P., Dietrich, W. E., and Stevenson, J.: Flow resistance and sediment transport by concentrated overland flow in a grassland valley, Geomorphology, 13, 71–86, 1995.
Rathburn, S. and Wohl, E.: Predicting sediment dynamics along a pool-riffle mountain channel, Geomorphology, 55, 111–124, 2003.
Raupach, M. R.: Conditional statistics of Reynolds stress in rough-wall and smooth-wall turbulent boundary layers, J. Fluid Mech., 108, 363–382, 1981.
Raupach, M. R., Antonia, R. A., and Rajagopalan, S.: Rough-wall turbulent boundary layers, Appl. Mech. Rev., 44, 25 pp., 1991.
Rauws, G.: Laboratory experiments on resistance to overland flow due to composite roughness, J. Hydrol., 103, 37–52, 1980.
Rayleigh, J. W. S.: Theory of sound, Macmillan, London, UK, 1877.
Reddy, K. V., Eldho, T. I., Rao, E. P., and Hengade, N.: A kinematic-wave-based distributed watershed model using FEM, GIS and remotely sensed data, Hydrol. Process., 21, 2765–2777, 2007.
Reynolds, O.: On the dynamical theory of incompressible viscous fluids and the determination of the criterion, Philos. T. R. SOC. S.-A, 186, 123–164, 1895.
Riabouchinsky, D.: Méthode des variables de dimension zero et son application en aérodynamique, L'aérophile, 19, 407–408, 1911.
Ribberink, J. S.: Mathematical modelling of one-dimensional morphological changes in rivers withnon-uniform sediment, PhD thesis, Delft University of Technology, Delft, Netherlands, availabel at: http://repository.tudelft.nl/islandora/object/uuid:bdfc1519-a71d-4752-83f7-3ebf1bb890e9?collection=research, last access: 17 May 2016, 1987.
Richardson, S.: On the no-slip boundary condition, J. Fluid Mech., 59, 707–719, 1973.
Risse, L. M., Nearing, M. A., Nicks, A. D., and Laflen, J. M.: Error assessment in the Universal Soil Loss Equation, Soil Sci. Soc. Am. J., 57, 825–833, 1993.
Ritchie, J. C. and McHenry, J. R.: Application of Radioactive Fallout Cesium-137 for Measuring soil erosion and sediment accumulation rates and patterns: A review, J. Environ. Qual., 19, 215–233, 1990.
Roche, N.: Modélisation du ruissellement sur surfaces rugueuses, PhD thesis, Université Joseph Fourier, Grenoble, France, 213 pp., 2006.
Rodellar, J., Gomez, M., and Bonet, L.: Control method for on-demand operation of open-channel flow, J. Irrig. Drain. E.-ASCE, 119, 225–241, 1993.
Rödi, W.: Turbulence models and their application in hydraulics – a state of the art review, International Association for Hydraulic Research, Delft, The Netherlands, 47 pp., 1988.
Romanowicz, R. J., Dooge, J. C. I., and Kundzewicz, Z. W.: Moments and cumulants of linearized St. Venant equation, Adv. Water Resour., 11, 92–100, 1988.
Rousseau, M., Cerdan, O., Delestre, O., Dupros, F., James, F., and Cordier, S.: Overland flow modelling with the Shallow Water equations using a well-balanced numerical scheme: better predictions or just more complexity, J. Hydrol. Eng., 20, 04015012, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001171, 2015.
Rosgen, D. L.: A classification of natural rivers, Catena, 22, 169–199, 1994.
Roux, H. and Dartus, D.: Use of parameter optimization to estimate a flood wave: Potential applications to remote sensing of rivers, J. Hydrol., 328, 258–266, 2006.
Russel, W. B.: Brownian motion of small particles suspended in liquids, Annu. Rev. Fluid Mech., 13, 425–455, 1981.
Rutschmann, P. and Hager, W. H.: Diffusion of floodwaves, J. Hydrol., 178, 19–32, 1996.
Saleh, F., Ducharme, A., Flipo, N., Oudin, L., and Ledoux, E.: Impact of river bed morphology on discharge and water levels simulated by a 1D Saint–Venant hydraulic model at regional scale, J. Hydrol., 476, 169–177, 2013.
Sander, G. C., Parlange, J. Y., Barry, D. A., Parlange, M. B., and Hogarth, W. L.: Limitation of the transport capacity approach in sediment transport modeling, Water Resour. Res., 43, W02403, https://doi.org/10.1029/2006WR005177, 2007.
Sau, J., Malaterre, P.-O., and Baume, J.-P.: Sequential Monte-Carlo state estimation of an irrigation canal, CR Mecanique, 338, 212–219, 2010.
Savage, S. B. and Hutter, K.: The motion of a finite mass of granular material down a rough incline, J. Fluid Mech., 199, 177–215, 1989.
Savage, S. B. and Hutter, K.: The dynamics of avalanches of granular materials from initiation to runout. Part I: Analysis, Acta Mech., 86, 201–223, 1991.
Schlichting H.: Experimentelle Untersuchungenzum Rauhigkeitsproblem (Engl. transl. 1937. Experimental investigation of the problem of surface roughness, NACA TM 823), Ing. Arch., 7, 1–34, 1936.
Schmeeckle, M. W. and Nelson, J. M.: Direct numerical simulation of bedload transport using a local, dynamic boundary condition, Sedimentology, 50, 279–301, 2003.
Schmeeckle, M. W., Nelson, J. M., and Shreve, R. L.: Forces on stationary particles in near-bed turbulent flows, J. Geophys. Res., 112, F02003, https://doi.org/10.1029/2006JF000536, 2007.
Sear, D. A.: Sediment transport processes in pool-riffle sequences, Earth Surf. Proc. Land., 21, 241–262, 1996.
Sen, D. J. and Garg, N. K.: Efficient algorithm for generally varied flows in channel networks, J. Irrig. Drain. E.-ASCE, 128, 351–357, 2002.
Sharifi, S., Sterling, M., and Knight, D. W.: A novel application of a multi-objective evolutionary algorithm in open channel flow modelling, J. Hydroinform., 11, 31–50, 2009.
Sheets, B., Hickson, T. A., and Paola, C.: Assembling the stratigraphic record: Depositional patterns and time-scales in an experimental alluvial basin, Basin Res., 14, 287–301, 2002.
Shields, A.: Anwendung der Änlichtkeitsmechanik und der Turbulenzforschung auf die Geschiebebewegung, Mitteilungen der Preußischen Versuchsanstalt für Wasserbau und Schiffbau No. 6, Berlin, Germany (English translation by: Ott, W. P. and van Uchelen, J. C., Hydrodynamics Laboratory Publication No. 167, Hydrodynamics Laboratory of the California Institute of Technology, Pasadena, USA), 1936.
Simpson, G. and Castelltort, S.: Coupled model of surface water flow, sediment transport and morphological evolution, Comput. Geosci., 32, 1600–1614, 2006.
Singh, V. P.: Hybrid formulation of kinematic wave models of watershed runoff J. Hydrol., 27, 33–50, 1975.
Singh, V. P.: Kinematic wave modelling in water resources: a historical perspective, Hydrol. Process., 15, 671–706, 2001.
Singh, V. P.: Is hydrology kinematic?, Hydrol. Process., 16, 667–716, 2002.
Sivakumaran, N. S. and Yevjevich, V.: Experimental verification of the Dressler curved-flow equations, J. Hydraul. Res., 25, 373–391, 1987.
Sivapalan, M., Bates, B. C., and Larsen, J. E.: A generalized, non-linear, diffusion wave equation: theoretical development and application, J. Hydrol., 192, 1–16, 1997.
Sklar, L. S. and Dietrich, W. E.: A mechanistic model for river incision into bedrock by saltating bed load, Water Resour. Res., 40, W06301, https://doi.org/10.1029/2003WR002496, 2004.
Slaymaker, O.: Towards the identification of scaling relations in drainage basin sediment budgets, Geomorphology, 80, 8–19, 2006.
Sloff, C. J. and Mosselman, E.: Bifurcation modelling in a meandering gravel-sand bed river, Earth Surf. Proc. Land., 37, 1556–1566, 2012.
Sloff, C. J., Jagers, H. R. A., Kitamura, Y., and Kitamura, P.: 2D morphodynamic modelling with graded sediment. Paper presented at the 2nd Symposium on River, Coastal and Estuarine Morphodynamics, Int. Assoc. for Hydraul. Res., Obihiro, Japan, 2001.
Smagorinsky, J.: General circulation experiments with the primitive equations, Mon. Weather Rev., 91, 99–164, 1963.
Smart, G. M.: Sediment transport formula for steep channels, J. Hydraul. Eng.-ASCE, 110, 267–276, 1984.
Smith, J. D. and McLean S. R.: Spatially averaged flow over a wavy surface, J. Geophys. Res., 82, 1735–1746, 1977.
Smith, M. W., Cox, N. J., and Bracken, L. J.: Applying flow resistance equations to overland flows, Prog. Phys. Geog., 31, 363–387, 2007.
Smith, R. E., Goodrich, D. C., Woolhiser, D. A., and Unkrich, C. L.: KINEROS – a kinematic runoff and erosion model, in: Computer Models of Watershed Hydrology, edited by: Singh, V. P., Water Resources, Littleton, CO, 697–732, 1995.
Stecca, G., Sivigliad, A. and Blome, A.: An accurate numerical solution of the Saint-Venant-Hirano model for mixed-sediment morphodynamics in rivers, Adv. Water Resour., 93, 39–61, 2016.
Stein, O. R., Alonso, C. V., and Julien, P. Y.: Mechanics of jet scour downstream of a headcut, J. Hydraul. Res., 31, 723–738, 1993.
Stevenson, P., Thorpe, R. B., and Davidson, J. F.: Incipient motion of a small particle in the viscous boundary layer at a pipe wall, Chem. Eng. Sci., 57, 4505–4520, 2002.
Stoker, J. J.: Water waves, the mathematical theory with application, Wiley, Interscience Publishers, New York, USA, 357 pp., 1957.
Stokes, G. G.: On the theories of internal friction of fluids in motion, Transactions of the Cambridge Philosophical Society, 8, 287–319, 1845.
Strahler, A. N.: The nature of induced erosion and aggradation, in: Man's Role in Changing the Face of the Earth, edited by: Thomas, W. L., University of Chicago Press, Chicago, 621–638, 1956.
Sundaresan, S., Eaton, J., Koch, D. L., and Ottino, J. M.: Appendix 2: Report of study group on disperse flow, Int. J. Multiphas. Flow, 29, 1069–1087, 2003.
Sutherland, A. J.: Proposed mechanism for sediment entrainment by turbulent flows, J. Geophys. Res., 72, 6183–6194, 1967.
Swain, R. and Sahoo B.: Variable parameter McCarthy–Muskingum flow transport model for compound channels accounting for distributed non-uniform lateral flow, J. Hydrol., 530, 698–715, 2015.
Syvitski, J. P. M. and Milliman, J. D.: Geology, geography, and humans battle for dominance over the delivery of fluvial sediment to the coastal ocean, J. Geol., 115, 1–19, 2007.
Szymkiewicz, R. and Gasiorowski, D.: Simulation of unsteady flow over floodplain using the diffusive wave equation and the modified finite element method, J. Hydrol., 464–465, 165–175, 2012.
Tatard, L., Planchon, O., Wainwright, J., Nord, G., Favis-Mortlock, D., Silvera, N., Ribolzi, O., Esteves, M., and Huang, C. H.: Measurement and modeling of high-resolution flow-velocity data under simulated rainfall on a low-slope sandy soil, J. Hydrol., 348, 1–12, 2008.
Tiemeyer, B., Moussa, R., Lennartz, B., and Voltz, M.: MHYDAS-DRAIN: a spatially distributed model for small, artificially drained lowland catchments, Ecol. Model., 209, 2–20, 2007.
Todini, E. and Bossi, A.: PAB (Parabolic and Backwater): an unconditionnally stable flood routing scheme particularly suited for real time forecasting and control, J. Hydraul. Res., 24, 405–424, 1986.
Trigg, M. A., Wilson, M. D., Bates, P. D., Horritt, M. S., Alsdorf, D. E., Forsberg, B. R., and Vega, M. C.: Amazon flood wave hydraulics, J. Hydrol., 374, 92–105, 2009.
Turek, S.: Efficient Solvers for Incompressible Flow Problems, Springer, Berlin, Germany, 352 pp., 1999.
Van Heijst, M. W. I. M., Postma, G., Meijer, X. D., Snow, J. N., and Anderson, J. B.: Quantitative analogue flume-model study of River-shelf systems: principles and verification examplified by the late quaternary Colorado River-delta evolution, Basin Res., 13, 243–268, 2001.
Van Maren, D. S.: Grain size and sediment concentration effects on channel patterns of silt-laden rivers, Sediment. Geol., 202, 297–316, 2007.
Van Rijn, L. C.: Sediment transport, part I: bed load transport, J. Hydraul. Eng.-ASCE, 110, 1431–1456, 1984a.
Van Rijn, L. C.: Sediment transport, part II: suspended load transport, J. Hydraul. Eng.-ASCE, 110, 1613–1641, 1984b.
Vanoni, V. A.: Transportation of suspended sediment by water, T. ASCE, 111, 67–133, 1946.
Vaschy, A.: Sur les lois de similitude en physique, Annales Télégraphiques, 19, 25–28, 1892.
Vetsch, D. F., Ehrbar, D., Gerber, M., Peter, S., Russelot, P., Volz, C., Vonwiller, L., Faeh, R., Farshi, D., Mueller, R., and Veprek, R.: System manuals of BASEMENT. Software manual, VAW, ETH Zurich, v. 2.4, 2014.
Vieux, B. E., Cui, Z., and Gaur, A.: Evaluation of a physics-based distributed hydrologic model for flood forecasting, J. Hydrol., 298, 155–177, 2004.
Villaret, C., Hervouet, J. M., Kopmann, R., Wyncoll, D., Merkel, U., and Davies, A. G.: Morphodynamic modelling using the Telemac finite-element system, Comput. Geosci., 53, 105–113, 2013.
Villaret, C., Kopmann, R., Wyncoll, D., Riehme, J., Merkel, U., and Naumann, U.: First-order uncertainty analysis using Algorithmic Differentiation of morphodynamic models, Comput. Geosci., 90, 144–151, 2016.
Wainwright, J., Parsons, A. J., Müller, E. N., Brazier, R. E., Powell, D. M., and Fenti, B.: A transport-distance approach to scaling erosion rates: I. Background and model development, Earth Surf. Proc. Land., 33, 813–826, 2008.
Walling, D. E.: The sediment delivery problem, J. Hydrol., 65, 209–237, 1983.
Wang, G. T and Chen, S.: A semi-analytical solution of the Saint-Venant equations for channel flood routing, Water Resour. Res., 39, 1076, https://doi.org/10.1029/2002WR001690, 2003.
Wang, G. T., Yao, C., Okoren, C., and Chen, S.: 4-Point FDF of Muskingum method based on the complete St Venant equations, J. Hydrol., 324, 339–349, 2006.
Wang, L., Wu, J. Q., Elliot, W. J., Fiedler, F. R., and Lapin, S.: Linear diffusion wave channel routing using a discrete Hayami convolution method, J. Hydrol., 509, 282–294, 2014.
Wang, Y., Straub, K. M., and Hajek, E. A.: Scale-dependent compensational stacking: an estimate of time scales in channelized sedimentary deposits, Geology, 39, 811–814, 2011.
Weichert, R.: Bed morphology and stability of steep open channels, PhD thesis, Technische Hochschule, Zürich, 265 pp., 2006.
Weisbach, J.: Lehrbuch der Ingenieur- und Maschinen-Mechanik, Vieweg und Sohn eds., Braunschweig, 1845.
Whitham, G. B.: Linear and nonlinear waves, John Wiley & Sons Inc., New York, 1999.
Wiberg, P. L. and Smith, J. D.: Calculations of the critical shear stress for motion of uniform and heterogeneous sediments, Water Resour. Res., 23, 1471–1480, 1987.
Williams, G. P.: Flume width and water depth effects in sediment-transport experiments, US Geological Survey Professional Paper 562-H, U.S. Government Printing Office, Washington, D.C., 42 pp., 1970.
Wooding, R.: A hydraulic model for the catchment-stream problem: I. Kinematic-wave theory, J. Hydrol., 3, 254–267, 1965a.
Wooding, R.: A hydraulic model for the catchment-stream problem: II. Numerical solutions, J. Hydrol., 3, 268–282, 1965b.
Wright, S. and Parker, G.: Flow Resistance and Suspended Load in Sand-Bed Rivers: Simplified Stratification Model, J. Hydraul. Eng.-ASCE, 130, 796–805, 2004.
Wu, R. M. and Lee, D. J.: Hydrodynamic drag on non-spherical floc and free-settling test, Water Res., 35, 3226–3234, 2001.
Wu, S. and Rajaratnam, N.: Impinging jet and surface flow regimes at drop, J. Hydraul. Res., 36, 69–74, 1998.
Yager, E. M., Kirchner, J. W., and Dietrich, W. E.: Calculating bed load transport in steep boulder bed channels, Water Resour. Res., 43, W07418, https://doi.org/10.1029/2006WR005432, 2007.
Yalin, M. S.: Mechanics of sediment transport, Pergamon Press, Oxford, UK, 2nd Edn., 298 pp., 1977.
Yang, C. T.: Unit stream power and sediment transport, J. Hydraul. Eng.-ASCE, 100, 1269–1272, 1974.
Yu, C. and Duan, J.: High resolution numerical schemes for solving kinematic wave equation, J. Hydrology, 519, 823–832, 2014.
Zanke, U. C. E.: On the influence of turbulence on the initiation of sediment motion, Int. J. Sediment Res., 18, 17–31, 2003.
Zhou, J. G.: Velocity-depth coupling in shallow-water flows, J. Hydraul. Eng.-ASCE, 121, 717–724, 1995.
Zimmermann, A. and Church, M.: Channel morphology, gradient profiles and bed stresses during flood in a step-pool channel, Geomorphology, 40, 311–327, 2001.
Zoppou, C. and O'Neill, I. C.: Criteria for the choice of flood routing methods in natural channels, Hydrology and Water Resources, Symposium, 11–13 May 1982, Melbourne, 75–81, 1982.
Short summary
This review paper investigates the determinants of modelling choices for numerous applications of 1-D free-surface flow and morphodynamics in hydrology and hydraulics. Each case study has a signature composed of given contexts (spatiotemporal scales, flow typology, and phenomenology) and chosen concepts (refinement and subscales of the flow model). This review proposes a normative procedure possibly enriched by the community for a larger, comprehensive and updated image of modelling strategies.
This review paper investigates the determinants of modelling choices for numerous applications...
