Articles | Volume 17, issue 9
https://doi.org/10.5194/hess-17-3371-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-17-3371-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Sep 2013
Research article |
| 03 Sep 2013
Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest, Puerto Rico
C. Lepore
Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
E. Arnone
Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Università degli Studi di Palermo, Palermo, Italy
Georgia Institute of Technology, Atlanta, GA, USA
L. V. Noto
Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Università degli Studi di Palermo, Palermo, Italy
G. Sivandran
Ohio State University, Department of Civil, Environmental and Geodetic Engineering 483B Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210, USA
R. L. Bras
Georgia Institute of Technology, Atlanta, GA, USA
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Elisa Arnone, Dario Treppiedi, and Leonardo Valerio Noto
Proc. IAHS, 385, 5–10, https://doi.org/10.5194/piahs-385-5-2024, https://doi.org/10.5194/piahs-385-5-2024, 2024
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The Friuli Venezia Giulia (FVG) region, northeastern Italy, records the heaviest precipitation annual totals of the country. The region counts on a dense ground-station network whose sampling frequency has been progressively increased up to 1 min step. In this work, we propose a comprehensive analysis of the available dataset of continuous series at high temporal resolution to verify whether trends in very short rainfalls are underway. Increasing trends have been detected on some stations.
Giuseppe Cipolla, Salvatore Calabrese, Amilcare Porporato, and Leonardo V. Noto
Biogeosciences, 19, 3877–3896, https://doi.org/10.5194/bg-19-3877-2022, https://doi.org/10.5194/bg-19-3877-2022, 2022
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Enhanced weathering (EW) is a promising strategy for carbon sequestration. Since models may help to characterize field EW, the present work applies a hydro-biogeochemical model to four case studies characterized by different rainfall seasonality, vegetation and soil type. Rainfall seasonality strongly affects EW dynamics, but low carbon sequestration suggests that an in-depth analysis at the global scale is required to see if EW may be effective to mitigate climate change.
Jiaying Zhang, Rafael L. Bras, Marcos Longo, and Tamara Heartsill Scalley
Geosci. Model Dev., 15, 5107–5126, https://doi.org/10.5194/gmd-15-5107-2022, https://doi.org/10.5194/gmd-15-5107-2022, 2022
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We implemented hurricane disturbance in a vegetation dynamics model and calibrated the model with observations of a tropical forest. We used the model to study forest recovery from hurricane disturbance and found that a single hurricane disturbance enhances AGB and BA in the long term compared with a no-hurricane situation. The model developed and results presented in this study can be utilized to understand the impact of hurricane disturbances on forest recovery under the changing climate.
Antonio Francipane, Dario Pumo, Marco Sinagra, Goffredo La Loggia, and Leonardo Valerio Noto
Nat. Hazards Earth Syst. Sci., 21, 2563–2580, https://doi.org/10.5194/nhess-21-2563-2021, https://doi.org/10.5194/nhess-21-2563-2021, 2021
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In the last few years, some cities in the Mediterranean area have witnessed an increase in extreme rainfall events such as urban floods. The study focuses on a particularly intense urban flood that occurred in Palermo on 15 July 2020, which highlighted the need for a shift in the way stormwater in urban settlements is managed. We think that the framework used to study the impacts of the event and some conclusive remarks could be easily transferred to other urban contexts.
Marcos Longo, Ryan G. Knox, David M. Medvigy, Naomi M. Levine, Michael C. Dietze, Yeonjoo Kim, Abigail L. S. Swann, Ke Zhang, Christine R. Rollinson, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4309–4346, https://doi.org/10.5194/gmd-12-4309-2019, https://doi.org/10.5194/gmd-12-4309-2019, 2019
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Our paper describes the Ecosystem Demography model. This computer program calculates how plants and ground exchange heat, water, and carbon with the air, and how plants grow, reproduce and die in different climates. Most models simplify forests to an average big tree. We consider that tall, deep-rooted trees get more light and water than small plants, and that some plants can with shade and drought. This diversity helps us to better explain how plants live and interact with the atmosphere.
Marcos Longo, Ryan G. Knox, Naomi M. Levine, Abigail L. S. Swann, David M. Medvigy, Michael C. Dietze, Yeonjoo Kim, Ke Zhang, Damien Bonal, Benoit Burban, Plínio B. Camargo, Matthew N. Hayek, Scott R. Saleska, Rodrigo da Silva, Rafael L. Bras, Steven C. Wofsy, and Paul R. Moorcroft
Geosci. Model Dev., 12, 4347–4374, https://doi.org/10.5194/gmd-12-4347-2019, https://doi.org/10.5194/gmd-12-4347-2019, 2019
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The Ecosystem Demography model calculates the fluxes of heat, water, and carbon between plants and ground and the air, and the life cycle of plants in different climates. To test if our calculations were reasonable, we compared our results with field and satellite measurements. Our model predicts well the extent of the Amazon forest, how much light forests absorb, and how much water forests release to the air. However, it must improve the tree growth rates and how fast dead plants decompose.
R. G. Knox, M. Longo, A. L. S. Swann, K. Zhang, N. M. Levine, P. R. Moorcroft, and R. L. Bras
Hydrol. Earth Syst. Sci., 19, 241–273, https://doi.org/10.5194/hess-19-241-2015, https://doi.org/10.5194/hess-19-241-2015, 2015
R. G. Knox, M. Longo, A. L. S. Swann, K. Zhang, N. M. Levine, P. R. Moorcroft, and R. L. Bras
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-15295-2013, https://doi.org/10.5194/hessd-10-15295-2013, 2013
Preprint withdrawn
E. Arnone, D. Pumo, F. Viola, L. V. Noto, and G. La Loggia
Hydrol. Earth Syst. Sci., 17, 2449–2458, https://doi.org/10.5194/hess-17-2449-2013, https://doi.org/10.5194/hess-17-2449-2013, 2013
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Modelling approaches
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
Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China
Recession discharge from compartmentalized bedrock hillslopes
Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau
On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes
Spatiotemporal changes in flow hydraulic characteristics and soil loss during gully headcut erosion under controlled conditions
Estimation of rainfall erosivity based on WRF-derived raindrop size distributions
Physically based model for gully simulation: application to the Brazilian semiarid region
Assessing the perturbations of the hydrogeological regime in sloping fens due to roads
A review of the (Revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimates
Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting
Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope
A new method, with application, for analysis of the impacts on flood risk of widely distributed enhanced hillslope storage
Towards improved parameterization of a macroscale hydrologic model in a discontinuous permafrost boreal forest ecosystem
Reconstructing long-term gully dynamics in Mediterranean agricultural areas
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Multiresponse modeling of variably saturated flow and isotope tracer transport for a hillslope experiment at the Landscape Evolution Observatory
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
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
Quantifying spatial and temporal discharge dynamics of an event in a first order stream, using distributed temperature sensing
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.
Shaojie Zhang, Hongjuan Yang, Kaiheng Hu, Juan Ma, and Dunlong Liu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-263, https://doi.org/10.5194/hess-2022-263, 2022
Revised manuscript accepted for HESS
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The 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 ueses numerical calculation and Monte Carlo integration method to solve this issue. We found that 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 JJG is only 18.96 %.
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.
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
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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
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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
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
M. C. Westhoff, T. A. Bogaard, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 15, 1945–1957, https://doi.org/10.5194/hess-15-1945-2011, https://doi.org/10.5194/hess-15-1945-2011, 2011
Cited articles
Arnone, E.: An Integrated System for the Analysis of Rainfall-Triggered Landslides, Universita' degli Studi di Palermo, Palermo, 2011.
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.
Bao, C. G., Gong, B. W., and Zhan, L. T.: Properties of unsaturated soils and slope stability of expansive soils, Proceedings of the Second International Conference on Unsaturated Soils – UNSAT98, Beijing, China, 71–98, 1998.
Basnet, K., Scatena, F. N., Likens, G. E., and Lugo, A. E.: Ecological consequences of root frapthing in tabonuco (Dacryodes excelsa) trees in the Luquillo Experimental Forest, Puerto Rico, Biotropica, 25, 28–35, 1993.
Baum, R. L., Savage, W. Z., and Godt, J. W.: TRIGR-a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, US Geological Survey Open File Report 2008-1159, 75 pp., 2008.
Bishop, A. W.: The use of the slip circle in the stability analysis of slopes, Geotechnique, 5, 7–17, 1955.
Bisht, G.: Satellite-based estimates of net radiation and modeling the role of topography and vegetation on inter-annual hydro-climatology, M.I.T., 2010.
Bonan, G. B., Levis, S., Kergoat, L., and Oleson, K. W.: Landscape as patches of plant functional types: An integrating concept for climate and ecosystem models, Global Biogeochem. Cy., 16, 5.1–5.23, https://doi.org/10.1029/2000GB001360, 2002.
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, 2002.
Brooks, R. H. and Corey, A. T.: Hydraulic properties pf porous media, Hydrology Paper, Civil Engineering Dep., 1964.
Burton, A. and Bathurst, J. C.: Physically based modelling of shallow landslide sediment yield at a catchment scale, Environ. Geol., 35, 89–99, 1998.
Cabral, M. C., Garrote, L., Bras, R. L., and Entekhabi, D.: A kinematic model of infiltration and runoff generation in layered and sloped soils, Adv. Water Resour., 15, 311–324, https://doi.org/10.1016/0309-1708(92)90017-V, 1992.
Capparelli, G. and Versace, I. P.: FLaIR and SUSHI: two mathematical models for early warning of landslides induced by rainfall, Landslides, 8, 67–79, 2010.
Claessens, L., Schoorl, J. M., and Veldkamp, A.: Modelling the location of shallow landslides and their effects on landscape dynamics in large watersheds: An application for Northern New Zealand, Most, 87, 16–27, 2007.
De Vita, P., Reichenbach, P., Bathurst, J. C., Borga, M., Crosta, G., Crozier, M., Glade, T., Guzzetti, F., Hansen, A., and Wasowski, J.: Rainfall-triggered landslides: a reference list, Environ. Geol., 35, 219–233, 1998.
Ewel, J. J. and Whitmore, J. L.: The ecological life zones of Puerto Rico and the U.S. Virgin Islands, Institute of Tropical forestry, Rio Piedras, Puerto Rico, US Forest Service Research Paper, 1973.
Francipane, A., Ivanov, V. Y., Noto, L. V., Istanbulluoglu, E., Arnone, E., and Bras, R. L.: TRIBS-Erosion: A parsimonious physically-based model for studying catchment hydro-geomorphic response, Catena, 92, 216–231, 2012.
Fredlund, D. G., Xing, A., and Barbour, M. D.: The relationship of the unsaturated soil shear strength to the soil water characteristic curve, Can. Geotech. J., 32, 440–448, 1996.
Garcia-Martino, A. R., Warner, G. S., Scatena, F. N., and Civco, D. L.: Rainfall, Runoff and Elevation Relationships in the Luquillo Mountains of Puerto Rico, Caribb. J. Sci., 32, 413–424, 1996.
Garrote, L. and Bras, R. L.: A distributed model for real-time flood forecasting using digital elevation models, J. Hydrol., 167, 279–306, 1995.
Harden, C. P. and Delmas Scruggs, P.: Infiltration on mountain slopes: a comparison of three environments, Geomorphology, 55, 5–24, 2003.
Helmer, E. H., Ramos, O. R., Lopez, T. M., Quinones, M., and Diaz, W.: Mapping forest type and lad cover of Puerto Rico, a component if the Caribbean biodiversity hotspot, Caribb. J. Sci., 38, 165–183, 2002.
Hillel, D.: Fundamentals of soil physics, Academic Press, New York, NY, USA, 1980.
Huffaker, L.: Soil Survey of Caribbean National Forest and Luquillo Experimental Forest, Commonwealth of Puerto Rico, USDA, Natural Resources Conservation Service, Washington, DC, 2002.
Ivanov, V. Y.: Effects of Dynamic Vegetation and Topography on Hydrological Processes in Semi-Arid Areas, MIT, 2006.
Ivanov, V., Bras, R. L., and Vivoni, E. R.: Vegetation-Hydrology Dynamics in Complex Terrain of Semiarid Areas: II. Energy-Water Controls of Vegetation Spatio-Temporal Dynamics and Topographic Niches of Favorability, Water Resour. Res., 44, W03430, https://doi.org/10.1029/2006WR005595, 2008a.
Ivanov, V. Y., Bras, R. L., and Vivoni, E. R.: Vegetation-Hydrology Dynamics in Complex Terrain of Semiarid Areas: I A Mechanistic Approach to Modeling Dynamic Feedbacks, Water Resour. Res., 44, W03429, https://doi.org/10.1029/2006WR005588, 2008b.
Iverson, R. M.: Landslide triggering by rain in ltration, Water Resour. Res., 36, 1897–1910, 2000.
Jetten, V. G., Riezebos, H., Hoefsloot, F., and van Rossum, J.: Spatial variability of infiltration and related properties of tropical soils, Earth Surf. Proc. Land., 18, 477–488, 1993.
Khallili, N. and Khabbaz, M. H.: A unique relationship for the determination of the shear strength of unsaturated soils, Geotechnique, 48, 681–687, https://doi.org/10.1680/geot.1998.48.5.681, 1998.
Knapp, B. J.: Infiltration and storage of soil water, in: Hillslope Hydrology, edited by: Kirkby, M. J., Wiley, Chichester: UK, 43–72, 1978.
Larsen, M. C. and Parks, J. E.: How wide is a road? The association of roads and mass-wasting in a forested montane environment, Earth Surf. Proc. Land., 22, 835–848, 1997.
Larsen, M. C. and Simon, A.: A rainfall intensity-duration threshold for landslides in a humid- tropical environment, Puerto Rico, Geogr. Ann. A, 75, 13–23, 1993.
Larsen, M. C. and Torres Sanchez, A. J.: Landslides triggered by Hurricane Hugo in eastern Puerto Rico, September 1989, Caribb. J. Sci., 28, 113–125, 1992.
Larsen, M. C. and Torres-Sánchez, A. J.: The frequency and distribution of recent landslides in three montane tropical regions of Puerto Rico, Geomorphology, 24, 309–331, 1998.
Lepore, C., Kamal, S. A., Shanahan, P., and Bras, R. L.: Rainfall-Induced Landslide Susceptibility Zonation of Puerto Rico, Environ. Earth Sci., 66, 1667–1681, https://doi.org/10.1007/s12665-011-0976-1, 2012.
Lohnes, R. A. and Demirel, T.: Strength and structure of laterites and lateritic soils, Eng. Geol., 7, 13–33, 1973.
Lu, N., and Godt, J.: Infinite slope stability under steady unsaturated seepage conditions, Water Resour. Res., 44, W11404, https://doi.org/10.1029/2008wr006976, 2008.
Meisina, C. and Scarabelli, S.: A comparative analysis of terrain stability models for predicting shallow landslides in colluvial soils, Geomorphology, 87, 207–223, 2007.
Montgomery, D. R. and Dietrich, W. E.: A physically based model for the topographic control on shallow landsliding, Water Resour. Res., 30, 1153–1171, 1994.
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.
Myster, R. W., Thomlinson, J. R., and Larsen, M. C.: Predicting landslide vegetation in patches on landscape gradients in Puerto Rico, Landscape Ecol., 12, 299–307, 1997.
Noto, L., Ivanov, V., Bras, R., and Vivoni, E.: Effects of initialization on response of a fully-distributed hydrologic model, J. Hydrol., 352, 107–125, 2008.
Oberg, A. and Sallfors, G.: Determination of shear strength parameters of unsaturated silts and sands based on the water retention curve, Geotech. Test. J., 20, 40–48, 1997.
Pack, R. T., Tarboton, D. G., and Goodwin, C. N.: SINMAP, a stability index approach to terrain stability hazard mapping. SINMAP user's manual, Terratech Consulting Ltd., 1998.
Rawls, W. J., Brakensiek, D. L., and Saxton, K. E.: Estimation of Soil Water Properties, Transactions American Society of Agricultural Engineers, St. Joseph, MI, 25, 1316–2320, 1982.
Rosso, R., Rulli, M. C., and Vannucchi, G.: A physically based model for the hydrologic control on shallow landsliding, Water Resour. Res., 42, W06410, https://doi.org/10.1029/2005WR004369, 2006.
Scatena, F. N. and Lugo, A. E.: Geomorphology, disturbance, and soil and vegetation of two subtropical wet steepland watersheds of Puerto Rico, Geomorphology, 13, 199–213, 1995.
Schellekens, J.: Hydrological processes in a humid tropical rain forest: a combined experimental and modelling approach, Vrije Universiteit – Amsterdam, 2000.
Schuster, R. L. and Highland, L. M.: Socioeconomic and Environmental Impacts of Landslides in the Western Hemisphere, US Geological Survey Open-File Report 01-0276, US Geological Survey, USA, 47 pp., 2001.
Shiels, A. B., West, C. A., Weiss, L., Klawinski, P. D., and Walker, L. R.: Soil factors predict initial plant colonization on Puerto Rican landslides, Plant Ecol., 195, 165–178, 2008.
Sidle, R. C. and Dhakal, A. S.: Potential effects of environmental change on landslide hazards in forest environments, IUFRO Research Series, Oxen, UK, 123–165, 2002.
Sidle, R. C. and Ochiai, H.: Landslides: Processes, Prediction, and Land Use, Water Resources Monograph Series, AGU, Washington, DC, 18, 312 pp., 2006.
Silver, W. L., Scatena, F. N., Johnson, A. H., Siccama, T. G., and Sanchez, M. J.: Nutrient availability in a montane wet tropical forest: Spatial patterns and methodological considerations, Plant Soil, 164, 129–145, 1994.
Simon, A., Larsen, M. C., and Hupp, C. R.: The role of soil processes in determining mechanisms of slope failure and hillslope development in a humid-tropical forest eastern Puerto Rico, Geomorphology, 3, 263–286, 1990.
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, https://doi.org/10.1002/hyp.6886, 2008.
Sivandran, G.: The role of rooting strategies on the eco-hydrology of semi-arid regions, Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 2012.
Sivandran, G. and Bras, R. L.: Identifying the optimal spatially and temporally invariant root distribution for a semiarid environment, Water Resour. Res., 48, W12525, https://doi.org/10.1029/2012wr012055, 2012.
Sivandran, G., Bisht, G., Ivanov, V. Y., and Bras, R. L.: An eleven-year validation of a physically-based distributed dynamic ecohydorological model tRIBS+VEGGIE: Walnut Gulch Experimental Watershed, AGU Fall Conference, San Francisco, CA, 2008.
Smith, T. M., Shugart, H. H., and Woodward, F. I.: Plant functional types: their revelance to ecosystem properties and global change, International Geosphere-Biosphere Programme Book Series, Cambridge University Press, Cambridge, 1997.
Swanston, D. and Schuster, R.: Long-term landslide hazard mitigation programs: structure and experience from other countries, Bulletin of the Association of Engineering Geologists, 26, 109–133, 1989.
Tarolli, P., Borga, M., Chang, K. T., and Chiang, S. H.: Modeling shallow landsliding susceptibility by incorporating heavy rainfall statistical properties, Geomorphology, 133, 199–211, 2011.
Taylor, D.: Fundamentals of Soil Mechanics, Soil Science, John Wiley & Sons, Inc., 1948.
Tsai, T.-L. and Yang, J.-C.: Modeling of rainfall-triggered shallow landslide, Environ. Geol., 50, 525–534, 2006.
Vanapalli, S. K. and Fredlund, D. G.: Comparison of different procedures to predict unsaturated soil shear strength, in: Advances in Unsaturated Geotechnics edited by: Shackelford, C. D., Houston, S. L., and Chang, N., ASCE Geotechnical Special Publication, American Society of Civil Engineers, Utah State University, Logan, Utah, 195–221, 2000.
Vanapalli, S. K., Fredlund, D. G., Pufahl, D. E., and Clifton, A. W.: Model for the prediction of shear strength with respect to soil suction, Can. Geotech. J., 33, 379–392, 1996.
Vivoni, E. R., Ivanov, V. Y., Bras, R. L., and Entekhabi, D.: Generation of triangulated irregular networks based on hydrological similarity, J. Hydrol. Eng., 9, 288–302, 2004.
Vivoni, E. R., Ivanov, V. Y., Bras, R. L., and Entekhabi, D.: On the effects of triangulated terrain resolution on distributed hydrologic model response, Hydrol. Process., 2122, 2101–2122, 2005.
Waide, R. B., Zimmerman, J. K., and Scatena, F. N.: Controls of Primary Productivity: Lessons from the Luquillo Mountains in Puerto Rico, Ecology, 79, 31–37, 1998.
Walker, L. R. and Shiels, A. B.: Post-disturbance erosion impacts carbon fluxes and plant succession on recent tropical landslides, Plant Soil, 313, 205–216, 2008.
Walker, L. R., Zarin, D. J., Fetcher, N., Myster, R. W., and Johnson, A. H.: Ecosystem development and plant succession on landslides in the Caribbean, Biotropica, 28, 566–576, 1996.
Wang, H., Hall, C. A. S., Scatena, F. N., Fetcher, N., and Wu, W.: Modeling the spatial and temporal variability in climate and primary productivity across the Luquillo Mountains, Puerto Rico, Forest Ecol. Manage., 179, 69–94, 2003.
Weaver, P. L. and Murphy, P. G.: Forest Structure and Productivity in Puerto Rico's Luquillo Mountains, Biotropica, 22, 69–82, 1990.
Wu, W. and Sidle, R.: A distributed slope stability model for steep forested basins, Water Resour. Res., 31, 2097–2110, 1995.
Yang, Z. L., Dickinson, R. E., Henderson-Sellers, A., and Pitman, A. J.: Preliminary study of spin-up processes in land surface models with the first stage data of Project for Intercomparison of Land Surface Parameterization Schemes Phase 1(a), J. Geophys. Res.-Atmos., 100, 16553–16578, https://doi.org/10.1029/95jd01076, 1995.
Yeh, H., Chan, P., Chen, J., and Lee, C.: Insability of unsaturated soil slopes due to infiltration, Internation Symposium on Geohazards Mitigation, Tainan, Taiwan, 2006.
