Articles | Volume 19, issue 5
https://doi.org/10.5194/hess-19-2197-2015
© Author(s) 2015. 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-19-2197-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 May 2015
Research article |
| 07 May 2015
Quantification of the influence of preferential flow on slope stability using a numerical modelling approach
W. Shao
CORRESPONDING AUTHOR
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, P.O. Box 5048, 2600 GA Delft, the Netherlands
T. A. Bogaard
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, P.O. Box 5048, 2600 GA Delft, the Netherlands
M. Bakker
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, P.O. Box 5048, 2600 GA Delft, the Netherlands
Dipartimento di Ingegneria Civile Design Edilizia e Ambiente, Seconda università di Napoli, via Roma 29, 81031 Aversa (CE), Italy
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Daniel Camilo Roman Quintero, Pasquale Marino, Abdullah Abdullah, Giovanni Francesco Santonastaso, and Roberto Greco
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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
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Hydrol. Earth Syst. Sci., 27, 783–808, https://doi.org/10.5194/hess-27-783-2023, https://doi.org/10.5194/hess-27-783-2023, 2023
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Thom Bogaard and Roberto Greco
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Roberto Greco and Luca Pagano
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Michael N. Fienen and Mark Bakker
Hydrol. Earth Syst. Sci., 20, 3739–3743, https://doi.org/10.5194/hess-20-3739-2016, https://doi.org/10.5194/hess-20-3739-2016, 2016
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In the field of cancer research, a scandal occurred at Duke University in the USA in which independent researchers were unable to repeat analysis performed by another group. This led to recommendations by the university and governing organizations to motivate the use of scripting languages to enhance repeatability of research. The hydrology community can easily adopt similar protocols to enhance the integrity of our data analysis and modeling.
Marie K. M. Charrière and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 16, 1175–1188, https://doi.org/10.5194/nhess-16-1175-2016, https://doi.org/10.5194/nhess-16-1175-2016, 2016
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This paper present the results of interviews that were conducted with the developers of apps dedicated to avalanche risk communication. The study investigates the context of their development to determine how choices of content and visualization were made as well as how their effectiveness is evaluated. Results show that consensus is achieved in terms of message but not in terms of visualization. However, progress remains in terms of effectiveness evaluation.
V. J. Cortes Arevalo, M. Charrière, G. Bossi, S. Frigerio, L. Schenato, T. Bogaard, C. Bianchizza, A. Pasuto, and S. Sterlacchini
Nat. Hazards Earth Syst. Sci., 14, 2681–2698, https://doi.org/10.5194/nhess-14-2681-2014, https://doi.org/10.5194/nhess-14-2681-2014, 2014
D. M. Krzeminska, T. A. Bogaard, T.-H. Debieche, F. Cervi, V. Marc, and J.-P. Malet
Earth Surf. Dynam., 2, 181–195, https://doi.org/10.5194/esurf-2-181-2014, https://doi.org/10.5194/esurf-2-181-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
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
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
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
M. Hrachowitz, H. Savenije, T. A. Bogaard, D. Tetzlaff, and C. Soulsby
Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, https://doi.org/10.5194/hess-17-533-2013, 2013
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Modelling approaches
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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
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
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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
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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
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Use of satellite and modeled soil moisture data for predicting event soil loss at plot scale
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
Chenqi Fang, Genyu Yuan, Ziying Zheng, Qirui Zhong, and Kai Duan
Hydrol. Earth Syst. Sci., 28, 4085–4098, https://doi.org/10.5194/hess-28-4085-2024, https://doi.org/10.5194/hess-28-4085-2024, 2024
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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.
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
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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 %.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
Bruno Cheviron and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 3799–3830, https://doi.org/10.5194/hess-20-3799-2016, https://doi.org/10.5194/hess-20-3799-2016, 2016
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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.
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
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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.
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
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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.
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
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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.
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
Abramson, L. W.: Slope Stability and Stabilization Methods, John Wiley and Sons Incorporated, Hoboken, New Jersey, 2002.
Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, B. Eng. Geol. Environ., 58, 21–44, 1999.
Allaire, S. E., Roulier, S., and Cessna, A. J.: Quantifying preferential flow in soils: a review of different techniques, J. Hydrol., 378, 179–204, 2009.
Armstrong, A. C., Matthews, A. M., Portwood, A. M., Leeds-Harrison, P. B., and Jarvis, N. J.: CRACK-NP: a pesticide leaching model for cracking clay soils, Agr. Water Manage., 44, 183–199, 2000.
Arnone, E., Noto, L. V., Lepore, C., and Bras, R. L.: Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale, Geomorphology, 133, 121–131, 2011.
Arora, B., Mohanty, B. P., and McGuire, J. T.: Inverse estimation of parameters for multidomain flow models in soil columns with different macropore densities, Water Resour. Res., 47, W04512, https://doi.org/10.1029/2010WR009451, 2011.
Baum, R. L., Godt, J. W., and Savage, W. Z.: Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration, J. Geophys. Res.-Earth, 115, F03013, https://doi.org/10.1029/2009jf001321, 2010.
Berti, M. and Simoni, A.: Observation and analysis of near-surface pore-pressure measurements in clay-shales slopes, Hydrol. Process., 26, 2187–2205, 2012.
Beven, K.: Kinematic subsurface stormflow, Water Resour. Res., 17, 1419–1424, 1981.
Beven, K. and Germann, P.: Macropores and water flow in soils, Water Resour. Res., 18, 1311–1325, 1982.
Beven, K. and Germann, P.: Macropores and water flow in soils revisited, Water Resour. Res., 49, 3071–3092, 2013.
Bogaard, T.: Analysis of Hydrological Processes in Unstable Clayey Slopes, Ph.D. thesis, Universiteit Utrecht, Utrecht, 2002.
Bogner, C., Trancón y Widemann, B., and Lange, H.: Characterising flow patterns in soils by feature extraction and multiple consensus clustering, Ecol. Inform., 15, 44–52, 2013.
Borga, M., Dalla Fontana, G., and Cazorzi, F.: Analysis of topographic and climatic control on rainfall-triggered shallow landsliding using a quasi-dynamic wetness index, J. Hydrol., 268, 56–71, 2002a.
Borga, M., Dalla Fontana, G., Gregoretti, C., and Marchi, L.: Assessment of shallow landsliding by using a physically based model of hillslope stability, Hydrol. Process., 16, 2833–2851, 2002b.
Brinkgreve, R., Engin, E., Swolfs, W., Waterman, D., Chesaru, A., Bonnier, P., and Galavi, V.: PLAXIS 2D 2010, Tech. rep., PLAXIS B. V., The Netherlands, 2010.
Brooks, R. and Corey, A.: Hydraulic Properties of Porous Media, Colorado State University, Colorado, 1964.
Chang, X., Hu, C., Zhou, W., Ma, G., and Zhang, C.: A combined continuous-discontinuous approach for failure process of quasi-brittle materials, Sci. China Ser. E, 57, 550–559, 2014.
Christiansen, J. S., Thorsen, M., Clausen, T., Hansen, S., and Christian Refsgaard, J.: Modelling of macropore flow and transport processes at catchment scale, J. Hydrol., 299, 136–158, 2004.
Chui, T. and Freyberg, D.: Implementing hydrologic boundary conditions in a multiphysics model, J. Hydrol. Eng., 14, 1374–1377, 2009.
Crosta, G. B. and Frattini, P.: Rainfall-induced landslides and debris flows, Hydrol. Process., 22, 473–477, 2008.
Dai, F. C., Lee, C. F., and Ngai, Y. Y.: Landslide risk assessment and management: an overview, Eng. Geol., 64, 65–87, 2002.
Debieche, T. H., Bogaard, T. A., Marc, V., Emblanch, C., Krzeminska, D. M., and Malet, J. P.: Hydrological and hydrochemical processes observed during a large-scale infiltration experiment at the Super-Sauze mudslide (France), Hydrol. Process., 26, 2157–2170, 2012.
Dusek, J., Gerke, H. H., and Vogel, T.: Surface boundary conditions in two-dimensional dual-permeability modeling of tile drain bromide leaching, Vadose Zone J., 7, 1287–1301, 2008.
Flury, M., Flühler, H., Jury, W. A., and Leuenberger, J.: Susceptibility of soils to preferential flow of water: a field study, Water Resour. Res., 30, 1945–1954, 1994.
Gerke, H. H.: Preferential flow descriptions for structured soils, J. Plant Nutr. Soil Sci., 169, 382–400, 2006.
Gerke, H. H. and Köhne, J. M.: Estimating hydraulic properties of soil aggregate skins from sorptivity and water retention, Soil Sci. Soc. Am. J., 66, 26–36, 2002.
Gerke, H. H. and Köhne, J. M.: Dual-permeability modeling of preferential bromide leaching from a tile-drained glacial till agricultural field, J. Hydrol., 289, 239–257, 2004.
Gerke, H. H. and van Genuchten, M.: A dual porosity model for simulating the preferential movement of water and solutes in structured porous media, Water Resour. Res., 29, 305–319, 1993a.
Gerke, H. H. and van Genuchten, M.: Evaluation of a first-order water transfer term for variably saturated dual-porosity flow models, Water Resour. Res., 29, 1225–1238, 1993b.
Godt, J. W., Baum, R. L., Savage, W. Z., Salciarini, D., Schulz, W. H., and Harp, E. L.: Transient deterministic shallow landslide modeling: requirements for susceptibility and hazard assessments in a GIS framework, Eng. Geol., 102, 214–226, 2008.
Greco, R.: Preferential flow in macroporous swelling soil with internal catchment: model development and applications, J. Hydrol., 269, 150–168, 2002.
Greco, R., Comegna, L., Damiano, E., Guida, A., Olivares, L., and Picarelli, L.: Hydrological modelling of a slope covered with shallow pyroclastic deposits from field monitoring data, Hydrol. Earth Syst. Sci., 17, 4001–4013, 2013.
Griffiths, D. and Lane, P.: Slope stability analysis by finite elements, Geotechnique, 49, 387–403, 1999.
Griffiths, D. and Lu, N.: Unsaturated slope stability analysis with steady infiltration or evaporation using elasto-plastic finite elements, Int. J. Numer. Anal. Met., 29, 249–267, 2005.
Griffiths, D., Huang, J., and Fenton, G. A.: Probabilistic infinite slope analysis, Comput. Geotech., 38, 577–584, 2011.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C. P.: Rainfall thresholds for the initiation of landslides in central and southern Europe, Meteorol. Atmos. Phys., 98, 239–267, 2007.
Guzzetti, F., Peruccacci, S., Rossi, M., and Stark, C.: The rainfall intensity–duration control of shallow landslides and debris flows: an update, Landslides, 5, 3–17, 2008.
Gwo, J., Jardine, P., Wilson, G., and Yeh, G.: A multiple-pore-region concept to modeling mass transfer in subsurface media, J. Hydrol., 164, 217–237, 1995.
Hamdhan, I. N. and Schweiger, H. F.: Slope Stability Analysis of Unsaturated Soil with Fully Coupled Flow-Deformation Analysis,https://doi.org/10.5242/iamg.2011.0063 IMAG 2011, SALZBURG, 2011.
Hammouri, N., Malkawi, A. H., and Yamin, M. A.: Stability analysis of slopes using the finite element method and limiting equilibrium approach, B. Eng. Geol. Environ., 67, 471–478, 2008.
Hencher, S. R.: Preferential flow paths through soil and rock and their association with landslides, Hydrol. Process., 24, 1610–1630, 2010.
Hendrickx, J. M. and Flury, M.: Uniform and Preferential Flow Mechanisms in the Vadose Zone, National Academy Press, Washington, DC, 149–188, 2001.
Hu, Y., Feng, J., Yang, T., and Wang, C.: A new method to characterize the spatial structure of soil macropore networks in effects of cultivation using computed tomography, Hydrol. Process., 28, 3419–3431, 2014.
Huang, M. and Jia, C.-Q.: Strength reduction FEM in stability analysis of soil slopes subjected to transient unsaturated seepage, Comput. Geotech., 36, 93–101, 2009.
Itasca, F.: Fast Lagrangian Analysis of Continua, Version 4.0 User's Guide, Itasca Consulting Group Inc., Thrasher Square East, Minneapolis, MN, 708 pp., 2002.
Jarvis, N. J.: A review of non-equilibrium water flow and solute transport in soil macropores: principles, controlling factors and consequences for water quality, Eur. J. Soil Sci., 58, 523–546, 2007.
Jarvis, N. J., Jansson, P. E., Dik, P. E., and Messing, I.: Modelling water and solute transport in macroporous soil. I. Model description and sensitivity analysis, J. Soil Sci., 42, 59–70, 1991.
Jing, L.: A review of techniques, advances and outstanding issues in numerical modelling for rock mechanics and rock engineering, Int. J. Rock Mech. Min., 40, 283–353, 2003.
Kim, J., Salgado, R., and Yu, H.: Limit analysis of soil slopes subjected to pore-water pressures, J. Geotech. Geoenviron., 125, 49–58, 1999.
Kodešová, R., Kozák, J., Šimůnek, J., and Vacek, O.: Single and dual-permeability model of chlorotoluron transport in the soil profile, Plant Soil Environ., 51, 310–315, 2005.
Köhne, J. M. and Mohanty, B. P.: Water flow processes in a soil column with a cylindrical macropore: experiment and hierarchical modeling, Water Resour. Res., 41, W03010, https://doi.org/10.1029/2004wr003303, 2005.
Köhne, J. M., Köhne, S., and Gerke, H. H.: Estimating the hydraulic functions of dual-permeability models from bulk soil data, Water Resour. Res., 38, 26-1–26-11, 2002.
Köhne, J. M., Mohanty, B. P., and Šimůnek, J.: Inverse dual-permeability modeling of preferential water flow in a soil column and implications for field-scale solute transport, Vadose Zone J., 5, 59–76, 2006.
Köhne, J. M., Köhne, S., and Šimůnek, J.: A review of model applications for structured soils: a) Water flow and tracer transport, J. Contam. Hydrol., 104, 4–35, 2009.
Krzeminska, D. M., Bogaard, T. A., van Asch, Th. W. J., and van Beek, L. P. H.: A conceptual model of the hydrological influence of fissures on landslide activity, Hydrol. Earth Syst. Sci., 16, 1561–1576, https://doi.org/10.5194/hess-16-1561-2012, 2012.
Laine-Kaulio, H.: Development and Analysis of a Dual-Permeability Model for Subsurface Stormflow and Solute Transport in a Forested Hillslope, Ph.D. thesis, Aalto University, Aalto, 2011.
Laine-Kaulio, H., Backnäs, S., Karvonen, T., Koivusalo, H., and McDonnell, J. J.: Lateral subsurface stormflow and solute transport in a forested hillslope: a combined measurement and modeling approach, Water Resour. Res., 50, 8159–8178, 2014.
Lanni, C., McDonnell, J., Hopp, L., and Rigon, R.: Simulated effect of soil depth and bedrock topography on near-surface hydrologic response and slope stability, Earth Surf. Proc. Land., 38, 146–159, 2013.
Larsbo, M. and Jarvis, N.: MACRO 5.0: aModel of Water Flow and Solute Transport in Macroporous Soil: Technical Description, Tech. Rep. 9157665923, Department of Soil Sciencess, Swedish University of Agricultural Sciences, Uppsala, Sweden, 2003.
Leij, F. J.: The UNSODA Unsaturated Soil Hydraulic Database: User's Manual, University of Michigan, 1996.
Lu, N., Godt, J. W., and Wu, D. T.: A closed-form equation for effective stress in unsaturated soil, Water Resour. Res., 46, W05515, https://doi.org/10.1029/2009wr008646, 2010.
Lu, N., Şener Kaya, B., Wayllace, A., and Godt, J. W.: Analysis of rainfall-induced slope instability using a field of local factor of safety, Water Resour. Res., 48, W09524, https://doi.org/10.1029/2012wr011830, 2012.
McDonnell, J.: The influence of macropores on debris flow initiation, Q. J. Eng. Geol. Hydroge., 23, 325–331, 1990.
Montrasio, L. and Valentino, R.: A model for triggering mechanisms of shallow landslides, Nat. Hazards Earth Syst. Sci., 8, 1149–1159, https://doi.org/10.5194/nhess-8-1149-2008, 2008.
Moonen, P., Carmeliet, J., and Sluys, L.: A continuous–discontinuous approach to simulate fracture processes in quasi-brittle materials, Philos. Mag., 88, 3281–3298, 2008.
Mukhlisin, M., Taha, M., and Kosugi, K.: Numerical analysis of effective soil porosity and soil thickness effects on slope stability at a hillslope of weathered granitic soil formation, Geosci. J., 12, 401–410, 2008.
Mulungu, D. M. M., Ichikawa, Y., and Shiiba, M.: A physically based distributed subsurface-surface flow dynamics model for forested mountainous catchments, Hydrol. Process., 19, 3999–4022, 2005.
Nemes, A., Schaap, M., Leij, F., and Wösten, J.: Description of the unsaturated soil hydraulic database UNSODA version 2.0, J. Hydrol., 251, 151–162, 2001.
Ng, C. W. W. and Shi, Q.: A numerical investigation of the stability of unsaturated soil slopes subjected to transient seepage, Comput. Geotech., 22, 1–28, 1998.
Nieber, J. L. and Sidle, R. C.: How do disconnected macropores in sloping soils facilitate preferential flow?, Hydrol. Process., 24, 1582–1594, 2010.
Pastor, M., Fernández Merodo, J. A., Herreros, M. I., Mira, P., González, E., Haddad, B., Quecedo, M., Tonni, L., and Drempetic, V.: Mathematical, constitutive and numerical modelling of catastrophic landslides and related phenomena, Rock Mech. Rock Eng., 41, 85–132, 2008.
Picarelli, L., Urciuoli, G., Mandolini, A., and Ramondini, M.: Softening and instability of natural slopes in highly fissured plastic clay shales, Nat. Hazards Earth Syst. Sci., 6, 529–539, https://doi.org/10.5194/nhess-6-529-2006, 2006.
Pirastru, M. and Niedda, M.: Field monitoring and dual permeability modelling of water flow through unsaturated calcareous rocks, J. Hydrol., 392, 40–53, 2010.
Qiu, C., Esaki, T., Xie, M., Mitani, Y., and Wang, C.: Spatio-temporal estimation of shallow landslide hazard triggered by rainfall using a three-dimensional model, Environ. Geol., 52, 1569–1579, 2007.
Ray, C., Ellsworth, T. R., Valocchi, A. J., and Boast, C. W.: An improved dual porosity model for chemical transport in macroporous soils, J. Hydrol., 193, 270–292, 1997.
Ray, C., Vogel, T., and Dusek, J.: Modeling depth-variant and domain-specific sorption and biodegradation in dual-permeability media, J. Contam. Hydrol., 70, 63–87, 2004.
Roulier, S. and Jarvis, N.: Analysis of inverse procedures for estimating parameters controlling macropore flow and solute transport in the dual-permeability model MACRO, Vadose Zone J., 2, 349–357, 2003.
Shao, W., Boaggrd, T.A., and Bakker, M.: How to Use COMSOL Multiphysics for Coupled Dual-permeability Hydrological and Slope Stability Modeling, Proc. Earth Planet. Sci., 9, 83–90, 2014.
Sharma, R. and Nakagawa, H.: Numerical model and flume experiments of single- and two-layered hillslope flow related to slope failure, Landslides, 7, 425–432, 2010.
Shuin, Y., Hotta, N., Suzuki, M., and Ogawa, K.-I.: Estimating the effects of heavy rainfall conditions on shallow landslides using distributed landslide conceptual model, Phys. Chem. Earth, 49, 44–51, 2012.
Simoni, S., Zanotti, F., Bertoldi, G., and Rigon, R.: Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS, Hydrol. Process., 22, 532–545, 2008.
Šimůnek, J., Jarvis, N. J., van Genuchten, M. T., and Gärdenäs, A.: Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone, J. Hydrol., 272, 14–35, 2003.
Šimůnek, J., van Genuchten, M. T., and Šejna, M.: Development and applications of the HYDRUS and STANMOD software packages and related codes, Vadose Zone J., 7, 587–600, 2008.
Stead, D., Eberhardt, E., Coggan, J., and Benko, B.: Advanced numerical techniques in rock slope stability analysis – applications and limitations, International Conference on Landslides – Causes, Impacts and Countermeasures, Davos, Switzerland, 615–624, 2001.
Talebi, A., Uijlenhoet, R., and Troch, P. A.: A low-dimensional physically based model of hydrologic control of shallow landsliding on complex hillslopes, Earth Surf. Proc. Land., 33, 1964–1976, 2008.
Therrien, R., McLaren, R., and Sudicky, E.: HydroGeoSphere: a Three-Dimensional Numerical Model Describing Fully-Integrated Subsurface and Surface Flow and Solute Transport, Tech. rep., edited by: Panday, S. M., Hydrogeologic Inc./University of Waterloo, 2005.
Tsai, T.-L. and Yang, J.-C.: Modeling of rainfall-triggered shallow landslide, Environ. Geol., 50, 525–534, 2006.
Tsutsumi, D. and Fujita, M.: Relative importance of slope material properties and timing of rainfall for the occurrence of landslides, Int. J. Erosion Control Eng., 1, 79–89, 2008.
Uchida, T., Kosugi, K., and Mizuyama, T.: Effects of pipeflow on hydrological process and its relation to landslide: a review of pipeflow studies in forested headwater catchments, Hydrol. Process., 15, 2151–2174, 2001.
Uchida, T.: Clarifying the role of pipe flow on shallow landslide initiation, Hydrol. Process., 18, 375–378, 2004.
Uchida, T., Asano, Y., Mizuyama, T., and McDonnell, J. J.: Role of upslope soil pore pressure on lateral subsurface storm flow dynamics, Water Resour. Res., 40, W12401, https://doi.org/10.1029/2003WR002139, 2004.
van der Spek, J. E., Bogaard, T. A., and Bakker, M.: Characterization of groundwater dynamics in landslides in varved clays, Hydrol. Earth Syst. Sci., 17, 2171–2183, https://doi.org/10.5194/hess-17-2171-2013, 2013.
Verachtert, E., Van Den Eeckhaut, M., Poesen, J., and Deckers, J.: Spatial interaction between collapsed pipes and landslides in hilly regions with loess-derived soils, Earth Surf. Proc. Land., 38, 826–835, 2013.
Vogel, T., Gerke, H. H., Zhang, R., and Van Genuchten, M. T.: Modeling flow and transport in a two-dimensional dual-permeability system with spatially variable hydraulic properties, J. Hydrol., 238, 78–89, 2000.
von Ruette, J., Lehmann, P., and Or, D.: Effects of rainfall spatial variability and intermittency on shallow landslide triggering patterns at a catchment scale, Water Resour. Res., 50, 7780–7799, 2014.
Weiler, M.: An infiltration model based on flow variability in macropores: development, sensitivity analysis and applications, J. Hydrol., 310, 294–315, 2005.
Westen, C. J., Asch, T. W. J., and Soeters, R.: Landslide hazard and risk zonation – why is it still so difficult?, B. Eng. Geol. Environ., 65, 167–184, 2006.
Wienhöfer, J., Lindenmaier, F., and Zehe, E.: Challenges in Understanding the Hydrologic Controls on the Mobility of Slow-Moving Landslides, Vadose Zone J., 10, 496–511, 2011.
Wilkinson, P. L., Anderson, M. G., and Lloyd, D. M.: An integrated hydrological model for rain-induced landslide prediction, Earth Surf. Proc. Land., 27, 1285–1297, 2002.
Wu, Y.-S., Liu, H. H., and Bodvarsson, G. S.: A triple-continuum approach for modeling flow and transport processes in fractured rock, J. Contam. Hydrol., 73, 145–179, 2004.
Zehe, E., Maurer, T., Ihringer, J., and Plate, E.: Modeling water flow and mass transport in a loess catchment, Phys. Chem. Earth Pt. B, 26, 487–507, 2001.
Zhang, G. P., Savenije, H. H. G., Fenicia, F., and Pfister, L.: Modelling subsurface storm flow with the Representative Elementary Watershed (REW) approach: application to the Alzette River Basin, Hydrol. Earth Syst. Sci., 10, 937–955, https://doi.org/10.5194/hess-10-937-2006, 2006.
Zhou, C., Shao, W., and van Westen, C. J.: Comparing two methods to estimate lateral force acting on stabilizing piles for a landslide in the Three Gorges Reservoir, China, Eng. Geol., 173, 41–53, 2014.
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.
The effect of preferential flow on the stability of landslides is studied through numerical...
