Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4239-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4239-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Aug 2020
Research article |
| 28 Aug 2020
| 28 Aug 2020
Physically based model for gully simulation: application to the Brazilian semiarid region
Pedro Henrique Lima Alencar
CORRESPONDING AUTHOR
TU Berlin, Institut für Ökologie, 10587 Berlin, Germany
Federal University of Ceará, Departamento de Engenharia Agrícola, Fortaleza, Brazil
José Carlos de Araújo
Federal University of Ceará, Departamento de Engenharia Agrícola, Fortaleza, Brazil
Adunias dos Santos Teixeira
Federal University of Ceará, Departamento de Engenharia Agrícola, Fortaleza, Brazil
Related authors
Riccardo Biella, Anastasiya Shyrokaya, Ilias Pechlivanidis, Daniela Cid, Maria Carmen Llasat, Marthe Wens, Marleen Lam, Elin Stenfors, Samuel Sutanto, Elena Ridolfi, Serena Ceola, Pedro Alencar, Giuliano Di Baldassarre, Monica Ionita, Mariana Madruga de Brito, Scott J. McGrane, Benedetta Moccia, Viorica Nagavciuc, Fabio Russo, Svitlana Krakovska, Andrijana Todorovic, Faranak Tootoonchi, Patricia Trambauer, Raffaele Vignola, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2073, https://doi.org/10.5194/egusphere-2024-2073, 2024
Short summary
Short summary
This research by the Drought in the Anthropocene (DitA) network highlights the crucial role of forecasting systems and Drought Management Plans in European drought risk management. Based on a survey of water managers during the 2022 European drought, it underscores the impact of preparedness on response and the evolution of drought management strategies across the continent. The study concludes with a plea for a European Drought Directive.
Riccardo Biella, Ansastasiya Shyrokaya, Monica Ionita, Raffaele Vignola, Samuel Sutanto, Andrijana Todorovic, Claudia Teutschbein, Daniela Cid, Maria Carmen Llasat, Pedro Alencar, Alessia Matanó, Elena Ridolfi, Benedetta Moccia, Ilias Pechlivanidis, Anne van Loon, Doris Wendt, Elin Stenfors, Fabio Russo, Jean-Philippe Vidal, Lucy Barker, Mariana Madruga de Brito, Marleen Lam, Monika Bláhová, Patricia Trambauer, Raed Hamed, Scott J. McGrane, Serena Ceola, Sigrid Jørgensen Bakke, Svitlana Krakovska, Viorica Nagavciuc, Faranak Tootoonchi, Giuliano Di Baldassarre, Sandra Hauswirth, Shreedhar Maskey, Svitlana Zubkovych, Marthe Wens, and Lena Merete Tallaksen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
Short summary
Short summary
This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
Fabio Brill, Pedro Henrique Lima Alencar, Huihui Zhang, Friedrich Boeing, Silke Hüttel, and Tobia Lakes
EGUsphere, https://doi.org/10.5194/egusphere-2024-1149, https://doi.org/10.5194/egusphere-2024-1149, 2024
Short summary
Short summary
Droughts are a threat to agricultural crops, but different factors influence how much damage occurs. This is important to know to create meaningful risk maps and to evaluate adaptation options. We investigate the years 2013–2022 in Brandenburg, Germany, and find in particular the soil quality and meteorological drought in June to be statistically related to the observed damage. Measurement of crop health from satellites are also related to soil quality, and not necessarily to anomalous yields.
Pedro Henrique Lima Alencar, Eva Nora Paton, and José Carlos de Araújo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-278, https://doi.org/10.5194/hess-2021-278, 2021
Manuscript not accepted for further review
Short summary
Short summary
Knowing how long and how fast it rained on a particular day is not often an easy (or cheap) task. It requires equipment and constant monitoring. It can be even harder if you live in an isolated area or if the day you are interested in is so much in the past that such pieces of equipment were not even in the market. In this paper, we propose a new way to assess such information and also show how it can help to model sediment transport and siltation in watersheds.
Riccardo Biella, Anastasiya Shyrokaya, Ilias Pechlivanidis, Daniela Cid, Maria Carmen Llasat, Marthe Wens, Marleen Lam, Elin Stenfors, Samuel Sutanto, Elena Ridolfi, Serena Ceola, Pedro Alencar, Giuliano Di Baldassarre, Monica Ionita, Mariana Madruga de Brito, Scott J. McGrane, Benedetta Moccia, Viorica Nagavciuc, Fabio Russo, Svitlana Krakovska, Andrijana Todorovic, Faranak Tootoonchi, Patricia Trambauer, Raffaele Vignola, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2073, https://doi.org/10.5194/egusphere-2024-2073, 2024
Short summary
Short summary
This research by the Drought in the Anthropocene (DitA) network highlights the crucial role of forecasting systems and Drought Management Plans in European drought risk management. Based on a survey of water managers during the 2022 European drought, it underscores the impact of preparedness on response and the evolution of drought management strategies across the continent. The study concludes with a plea for a European Drought Directive.
Riccardo Biella, Ansastasiya Shyrokaya, Monica Ionita, Raffaele Vignola, Samuel Sutanto, Andrijana Todorovic, Claudia Teutschbein, Daniela Cid, Maria Carmen Llasat, Pedro Alencar, Alessia Matanó, Elena Ridolfi, Benedetta Moccia, Ilias Pechlivanidis, Anne van Loon, Doris Wendt, Elin Stenfors, Fabio Russo, Jean-Philippe Vidal, Lucy Barker, Mariana Madruga de Brito, Marleen Lam, Monika Bláhová, Patricia Trambauer, Raed Hamed, Scott J. McGrane, Serena Ceola, Sigrid Jørgensen Bakke, Svitlana Krakovska, Viorica Nagavciuc, Faranak Tootoonchi, Giuliano Di Baldassarre, Sandra Hauswirth, Shreedhar Maskey, Svitlana Zubkovych, Marthe Wens, and Lena Merete Tallaksen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
Short summary
Short summary
This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
Gláuber Pontes Rodrigues, Arlena Brosinsky, Ítalo Sampaio Rodrigues, George Leite Mamede, and José Carlos de Araújo
Hydrol. Earth Syst. Sci., 28, 3243–3260, https://doi.org/10.5194/hess-28-3243-2024, https://doi.org/10.5194/hess-28-3243-2024, 2024
Short summary
Short summary
The research focuses on a 4-million-inhabitant tropical region supplied by a network of open-water reservoirs where the dry season lasts for 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099), the evaporation rate in the dry season could increase by 6 %, which would reduce stored water by about 80 %.
Fabio Brill, Pedro Henrique Lima Alencar, Huihui Zhang, Friedrich Boeing, Silke Hüttel, and Tobia Lakes
EGUsphere, https://doi.org/10.5194/egusphere-2024-1149, https://doi.org/10.5194/egusphere-2024-1149, 2024
Short summary
Short summary
Droughts are a threat to agricultural crops, but different factors influence how much damage occurs. This is important to know to create meaningful risk maps and to evaluate adaptation options. We investigate the years 2013–2022 in Brandenburg, Germany, and find in particular the soil quality and meteorological drought in June to be statistically related to the observed damage. Measurement of crop health from satellites are also related to soil quality, and not necessarily to anomalous yields.
Pedro Henrique Lima Alencar, Eva Nora Paton, and José Carlos de Araújo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-278, https://doi.org/10.5194/hess-2021-278, 2021
Manuscript not accepted for further review
Short summary
Short summary
Knowing how long and how fast it rained on a particular day is not often an easy (or cheap) task. It requires equipment and constant monitoring. It can be even harder if you live in an isolated area or if the day you are interested in is so much in the past that such pieces of equipment were not even in the market. In this paper, we propose a new way to assess such information and also show how it can help to model sediment transport and siltation in watersheds.
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Modelling approaches
Technical note: Monitoring discharge of mountain streams by retrieving image features with deep learning
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
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
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
Determinants of modelling choices for 1-D free-surface flow and morphodynamics in hydrology and hydraulics: a review
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
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
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.
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 %.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
Short summary
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.
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.
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.
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.
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.
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
Alberts, E. E., Nearing, M. A., Weltz, M. A., Risse, L. M., Pierson, F. B.,
Zhang, X. C., Laflen, J. M., and Simanton, J. R.: Soil Component, Tech.
Rep. July, USDA, West Lafayette, Indiana, 1995. a
Alencar, P. H. L., de Araújo, J. C., and dos Santos Teixeira, A.: PedroAlencarTUB/GullyModel-FLSM: Initial version (Version v1.0.0), Zenodo, https://doi.org/10.5281/zenodo.3485064, 2019. a
Arabameri, A., Cerda, A., and Tiefenbacher, J. P.: Spatial Pattern Analysis
and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of
Evidence, Water, 11, 1129, https://doi.org/10.3390/w11061129, 2019. a
Azareh, A., Rahmati, O., Rafiei-Sardooi, E., Sankey, J. B., Lee, S., Shahabi,
H., and Ahmad, B. B.: Modelling gully-erosion susceptibility in a semi-arid
region, Iran: Investigation of applicability of certainty factor and maximum
entropy models, Sci. Total Environ., 655, 684–696,
https://doi.org/10.1016/j.scitotenv.2018.11.235, 2019. a
Bennett, S. J. and Wells, R. R.: Gully erosion processes, disciplinary
fragmentation, and technological innovation, Earth Surf. Proc. Land., 44, 46–53, https://doi.org/10.1002/esp.4522, 2019. a, b
Bingner, R. L., Wells, R. R., Momm, H. G., Rigby, J. R., and Theurer, F. D.:
Ephemeral gully channel width and erosion simulation technology, Nat. Hazards, 80, 1949–1966, https://doi.org/10.1007/s11069-015-2053-7, 2016. a
Bonakdari, H., Sheikh, Z., and Tooshmalani, M.: Comparison between Shannon and
Tsallis entropies for prediction of shear stress distribution in open
channels, Stoch. Env. Risk. A, 29, 1–11,
https://doi.org/10.1007/s00477-014-0959-3, 2014. a
Borrelli, P., Robinson, D. A., Fleischer, L. R., Lugato, E., Ballabio, C.,
Alewell, C., Meusburger, K., Modugno, S., Schütt, B., Ferro, V.,
Bagarello, V., Oost, K. V., Montanarella, L., and Panagos, P.: An assessment
of the global impact of 21st century land use change on soil erosion, Nat. Commun., 8, 2003, https://doi.org/10.1038/s41467-017-02142-7, 2017. a
Castillo, C. and Gómez, J. A.: A century of gully erosion research:
Urgency, complexity and study approaches, Earth-Sci. Rev., 160,
300–319, https://doi.org/10.1016/j.earscirev.2016.07.009, 2016. a
Chow, V. T.: Open-channel hydraulics, in: Open-channel hydraulics, McGraw-Hill, West Caldwell, NJ, 1959. a
Coelho, C., Heim, B., Foerster, S., Brosinsky, A., and de Araújo, J. C.:
In situ and satellite observation of CDOM and chlorophyll-a dynamics in
small water surface reservoirs in the brazilian semiarid region, Water
(Switzerland), 9, 913, https://doi.org/10.3390/w9120913, 2017. a, b, c, d
Conoscenti, C. and Rotigliano, E.: Predicting gully occurrence at watershed
scale: Comparing topographic indices and multivariate statistical models,
Geomorphology, 359, 107123, https://doi.org/10.1016/j.geomorph.2020.107123, 2020. a, b
Dabney, S. M., Vieira, D. A. N., Yoder, D. C., Langendoen, E. J., Wells, R. R.,
and Ursic, M. E.: Spatially Distributed Sheet, Rill, and Ephemeral Gully
Erosion, J. Hydrol. Eng., 20, C4014009, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001120, 2015. a, b, c
da Silva, A. J. P. and Rios, M. L.: Alerta de desertificação no
médio curso do Rio Salitre, afluente do Rio São Francisco, Tech.
rep., IFBA, Senhor do Bonfim, Bahia, 2018. a
de Araújo, J. C. and Piedra, J. I. G.: Comparative hydrology: analysis
of a semiarid and a humid tropical watershed, Hydrol. Process., 23,
1169–1178, https://doi.org/10.1002/hyp.7232, 2009. a
de Araújo, J. C., Güntner, A., and Bronstert, A.: Loss of
reservoir volume by sediment deposition and its impact on water availability
in semiarid Brazil/Perte de volume de stockage en réservoirs par
sédimentation et impact sur la disponibilité en eau au
Brésil semi-aride Loss of reservoir volume by se,
Hydrolog. Sci. J., 51, 157–170, https://doi.org/10.1623/hysj.51.1.157, 2006. a, b
Dionizio, E. A. and Costa, M. H.: Influence of Land Use and Land Cover on
Hydraulic and Physical Soil Properties at the Cerrado Agricultural Frontier,
Agriculture, 9, 24, https://doi.org/10.3390/agriculture9010024, 2019. a
dos Santos, J. C. N., de Andrade, E. M., Guerreiro, M. J. S., Medeiros, P.
H. A., de Queiroz Palácio, H. A., and de Araújo Neto, J. R.:
Effect of dry spells and soil cracking on runoff generation in a semiarid
micro watershed under land use change, J. Hydrol., 541, 1–10,
https://doi.org/10.1016/j.jhydrol.2016.08.016, 2016. a
Figueiredo, J. V., Araújo, J. C., Medeiros, P. H. A., and Costa, A. C.:
Runoff initiation in a preserved semiarid Caatinga small watershed,
Northeastern Brazil, Hydrol. Process., 30, 2390–2400,
https://doi.org/10.1002/hyp.10801, 2016. a, b, c, d
Gaiser, T., Krol, M., Frischkom, H., and de Araujo, J. C. (Eds.): Global Change
and Regional Impacts, Springer-Verlag, Berlin,
https://doi.org/10.1007/978-3-642-55659-3_9, 2003. a, b
Ghorbani-Dashtaki, S., Homaee, M., and Loiskandl, W.: Towards using
pedotransfer functions for estimating infiltration parameters, Hydrolog. Sci. J., 61, 1477–1488, https://doi.org/10.1080/02626667.2015.1031763, 2016. a
Gordon, L. M., Bennett, S. J., Bingner, R. L., Theurer, F. D., and Alonso,
C. V.: Simulating Ephemeral Gully Erosion in AnnAGNPS, T. ASAE, 50, 857–866, 2007. a
Güntner, A. and Bronstert, A.: Representation of landscape variability
and lateral redistribution processes for large-scale hydrological modelling
in semi-arid areas, J. Hydrol., 297, 136–161,
https://doi.org/10.1016/j.jhydrol.2004.04.008, 2004. a, b
Han, Y., li Zheng, F., and meng Xu, X.: Effects of rainfall regime and its
character indices on soil loss at loessial hillslope with ephemeral gully,
J. Mountain Sci., 14, 527–538, https://doi.org/10.1007/s11629-016-3934-2,
2017. a
Hunke, P., Mueller, E. N., Schröder, B., and Zeilhofer, P.: The
Brazilian Cerrado: Assessment of water and soil degradation in catchments
under intensive agricultural use, Ecohydrology, 8, 1154–1180,
https://doi.org/10.1002/eco.1573, 2015. a
James, M. R., Robson, S., Oleire-Oltmanns, S., and Niethammer, U.:
Geomorphology Optimising UAV topographic surveys processed with
structure-from-motion: Ground control quality, quantity and bundle
adjustment, Geomorphology, 280, 51–66, 2017. a
Katz, H. A., Daniels, J. M., and Ryan, S.: Slope-area thresholds of
road-induced gully erosion and consequent hillslope-channel interactions,
Earth Surf. Proc. Land., 39, 285–295, https://doi.org/10.1002/esp.3443,
2014. a, b
Liu, X. L., Tang, C., Ni, H. Y., and Zhao, Y.: Geomorphologic analysis and a
physico-dynamic characteristics of Zhatai-Gully debris flows in SW China,
J. Mountain Sci., 13, 137–145, 2016. a
Maetens, W., Vanmaercke, M., Poesen, J., Jankauskas, B., Jankauskiene, G., and
Ionita, I.: Effects of land use on annual runoff and soil loss in Europe and
the Mediterranean: A meta-analysis of plot data,
Prog. Phys. Geog., 36, 599–653, https://doi.org/10.1177/0309133312451303, 2012. a
Medeiros, P. H. A. and Araújo, J. C. D.: Temporal variability of
rainfall in a semiarid environment in Brazil and its effect on sediment
transport processes, J. Soil Sediment., 14, 1216–1223,
https://doi.org/10.1007/s11368-013-0809-9, 2014. a
Mendes, F. J.: Uma Proposta de Reclassificação das Regiões
Pluviometricamente Homogêneas do Estado do Ceará,
Dissertação, Universidade Estadual do Ceará, Fortaleza, CE, 2010. a
Mesas-Carrascosa, F. J., García, M. D. N., De Larriva, J. E. M., and
García-Ferrer, A.: An analysis of the influence of flight parameters
in the generation of unmanned aerial vehicle (UAV) orthomosaicks to survey
archaeological areas, Sensors (Switzerland), 16, 1838, https://doi.org/10.3390/s16111838, 2016. a
Montgomery, D. R.: Dirt: The Erosion of Civilizations, University of
California press, Berkeley, 2007. a
Mutti, P. R., Lúcio, P. S., Dubreuil, V., and Bezerra, B. G.: NDVI time
series stochastic models for the forecast of vegetation dynamics over
desertification hotspots, Int. J. Remote Sens., 41,
2759–2788, https://doi.org/10.1080/01431161.2019.1697008, 2020. a
Nachtergaele, J., Poesen, J., Sidorchuk, A., and Torri, D.: Prediction of
concentrated flow width in ephemeral gully channels, Hydrol. Process.,
16, 1935–1953, https://doi.org/10.1002/hyp.392, 2002. a, b, c
Nkonya, E., Anderson, W., Kato, E., Koo, J., Mirzabaev, A., von Braun, J., and
Meyer, S.: Global Cost of Land Degradation, in: Economics of Land
Degradation and Improvement – A Global Assessment for Sustainable
Development, edited by Nkonya, E., Mirzabaev, A., and von Braun, J., chap. 6, 117–165, Springer Open, Cham, https://doi.org/10.1007/978-3-319-19168-3, 2016. a, b
Nyssen, J., Poesen, J., Moeyersons, J., Luyten, E., Veyret-Picot, M., Deckers,
J., Haile, M., and Govers, G.: Impact of Road Building on Gully Erosion
Risk: a Case of Study from the Northern Ethiopian Highlands, Earth Surf. Proc. Land., 27, 1267–1283, 2002. a
Panagos, P., Ballabio, C., Meusburger, K., Spinoni, J., Alewell, C., and
Borrelli, P.: Towards estimates of future rainfall erosivity in Europe based
on REDES and WorldClim datasets, J. Hydrol., 548, 251–262,
https://doi.org/10.1016/j.jhydrol.2017.03.006, 2017. a
Paton, E. N., Smetanová, A., Krueger, T., and Parsons, A.: Perspectives and ambitions of interdisciplinary connectivity researchers, Hydrol. Earth Syst. Sci., 23, 537–548, https://doi.org/10.5194/hess-23-537-2019, 2019. a
Pinheiro, E. A. R., Costa, C. A. G., and Araújo, J. C. D.: Effective
root depth of the Caatinga biome, Arid Environments, 89, 4, https://doi.org/10.1016/j.jaridenv.2012.10.003, 2013. a, b
Pinheiro, E. A. R., Metselaar, K., de Jong van Lier, Q., and de Araújo,
J. C.: Importance of soil-water to the Caatinga biome, Brazil,
Ecohydrology, 9, 1313–1327, https://doi.org/10.1002/eco.1728, 2016. a
Poesen, J., Vanwalleghem, T., De Vente, J., Knapen, A., Verstraeten, G., and
Martínez-Casasnovas, J. A.: Gully Erosion in Europe, in: Soil Erosion
in Europe, chap. 39, 515–536, John Wiley & Sons Ltd, West Sussex, England, https://doi.org/10.1002/0470859202.ch39, 2006. a, b
Ritter, A. and Muñoz-Carpena, R.: Performance evaluation of hydrological
models: Statistical significance for reducing subjectivity in
goodness-of-fit assessments, J. Hydrol., 480, 33–45,
https://doi.org/10.1016/j.jhydrol.2012.12.004, 2013. a, b, c, d
Sartori, M., Philippidis, G., Ferrari, E., Borrelli, P., Lugato, E.,
Montanarella, L., and Panagos, P.: A linkage between the biophysical and the
economic: Assessing the global market impacts of soil erosion, Land Use
Policy, 86, 299–312, 2019. a
Sassolas-Serrayet, T., Cattin, R., and Ferry, M.: The shape of watersheds,
Nat. Commun., 9, 1–8, 2018. a
Sena, A., Barcellos, C., Freitas, C., and Corvalan, C.: Managing the health
impacts of drought in Brazil, Int. J. Environ. Pollut., 11, 10737–10751,
https://doi.org/10.3390/ijerph111010737, 2014. a
Sidorchuk, A.: Stochastic components in the gully erosion modelling, Catena,
63, 299–317, 2005. a
Silva, E., Gorayeb, A., and de Araújo, J.: Atlas socioambiental do
Assentamento 25 de Maio-Madalena-Ceará,
Gráfica, Expressão Gráfica e Editora, Fortaleza, CE, 2015. a
Stöcker, C., Eltner, A., and Karrasch, P.: Measuring gullies by
synergetic application of UAV and close range photogrammetry – A case study
from Andalusia, Spain, Catena, 132, 1–11,
https://doi.org/10.1016/j.catena.2015.04.004, 2015. a, b, c
Thompson, J. R.: Quantitative Effect of Watershed Variables on Rate of
Gully-Head Advancement, T. ASAE, 7, 0054–0055, 1964. a
Torri, D. and Poesen, J.: A review of topographic threshold conditions for
gully head development in different environments, Earth-Sci. Rev.,
130, 73–85, https://doi.org/10.1016/j.earscirev.2013.12.006, 2014. a, b, c
Vandaele, K., Poesen, J. A. W., Govers, G., and van Wesemael, B.: Geomorphic
threshold conditions for ephemeral gully incision, Geomorphology, 16,
161–173, 1996. a
Vanmaercke, M., Poesen, J., Van Mele, B., Demuzere, M., Bruynseels, A.,
Golosov, V., Bezerra, J. F. R., Bolysov, S., Dvinskih, A., Frankl, A.,
Fuseina, Y., Guerra, A. J. T., Haregeweyn, N., Ionita, I., Makanzu
Imwangana, F., Moeyersons, J., Moshe, I., Nazari Samani, A., Niacsu, L.,
Nyssen, J., Otsuki, Y., Radoane, M., Rysin, I., Ryzhov, Y. V., and Yermolaev,
O.: How fast do gully headcuts retreat?, Earth-Sci. Rev., 154,
336–355, https://doi.org/10.1016/j.earscirev.2016.01.009, 2016. a
Vannoppen, W., De Baets, S., Keeble, J., Dong, Y., and Poesen, J.: How do
root and soil characteristics affect the erosion-reducing potential of plant
species?, Ecol. Eng., 109, 186–195,
https://doi.org/10.1016/j.ecoleng.2017.08.001, 2017. a
van Schaik, N. L., Bronstert, A., de Jong, S. M., Jetten, V. G., van Dam,
J. C., Ritsema, C. J., and Schnabel, S.: Process-based modelling of a
headwater catchment in a semi-arid area: The influence of macropore flow,
Hydrol. Process., 28, 5805–5816, 2014. a
Verstraeten, G., Bazzoffi, P., Lajczak, A., Rãdoane, M., Rey, F., Poesen,
J., and De Vente, J.: Reservoir and Pond Sedimentation in Europe, Soil
Erosion in Europe, John Wiley & Sons Ltd, West Sussex, England, 757–774, https://doi.org/10.1002/0470859202.ch54, 2006. a, b, c
Wang, R., Zhang, S., Pu, L., Yang, J., Yang, C., Chen, J., Guan, C., Wang, Q.,
Chen, D., Fu, B., and Sang, X.: Gully Erosion Mapping and Monitoring at
Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River
Catchment, Northeast China, ISPRS Int. Geo.-Inf.,
5, 200, https://doi.org/10.3390/ijgi5110200, 2016. a, b
Wei, R., Zeng, Q., Davies, T., Yuan, G., Wang, K., Xue, X., and Yin, Q.:
Geohazard cascade and mechanism of large debris flows in Tianmo gully, SE
Tibetan Plateau and implications to hazard monitoring, Eng. Geol.,
233, 172–182, 2018. a
Wells, R. R., Momm, H. G., Rigby, J. R., Bennett, S. J., Bingner, R. L., and
Dabney, S. M.: An empirical investigation of gully widening rates in upland
concentrated flows, Catena, 101, 114–121,
https://doi.org/10.1016/j.catena.2012.10.004, 2013. a, b, c
Wischmeier, W. H. and Smith, D. D.: Predicting rainfall erosion losses - a
guide to conservation planning, Tech. rep., USDA, Hyattsville, 1978. a
Yibeltal, M., Tsunekawa, A., Haregeweyn, N., Adgo, E., Meshesha, D. T., Aklog,
D., Masunaga, T., Tsubo, M., Billi, P., Vanmaercke, M., Ebabu, K., Dessie,
M., Sultan, D., and Liyew, M.: Analysis of long-term gully dynamics in
different agro-ecology settings, Catena, 179, 160–174,
https://doi.org/10.1016/j.catena.2019.04.013, 2019.
a
Zhang, S., Foerster, S., Medeiros, P., de Araújo, J. C., and Waske, B.:
Effective water surface mapping in macrophyte-covered reservoirs in NE
Brazil based on TerraSAR-X time series, Int. J. Appl. Earth Obs., 69, 41–55,
https://doi.org/10.1016/j.jag.2018.02.014, 2018.
a
Zweig, R., Filin, S., Avni, Y., Sagy, A., and Mushkin, A.: Land degradation and
gully development in arid environments deduced by mezzo- and micro-scale 3-D
quantification – The Negev Highlands as a case study, J. Arid Environ., 153, 52–65, https://doi.org/10.1016/j.jaridenv.2017.12.006, 2018. a
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.
Soil erosion by water has been emphasized as a key problem to be faced in the 21st century....
