Hydrological Modeling of Landslides and Debris Flows

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 2720

Special Issue Editors


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Guest Editor
Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy
Interests: landslides monitoring; landslides modeling; soil hydrology; remote sensing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Earth, Environment and Life Sciences (DISTAV), University of Genova, Genova, Italy
Interests: slope stability; soil mechanics; rock mechanics; land use changes; terraced slopes; engineering geology; geomorphology; natural hazards
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many regions worldwide are coping with global climate change, which is increasing the occurrence of extreme hydro-meteorological events. Landslides and debris flows could increase significantly with respect to current and past scenarios, causing a modification of the susceptibility of a region and of the frequency of their triggering. These phenomena are causing significant damages to the environment and the territory, coupled also with a general loss of organic matter and nutrients fundamental for agricultural areas. The triggering of these phenomena is mostly related to the effect of intense rainfall events, with predisposition related to the hydrological conditions present in the affected materials. Hydrological modeling is therefore fundamental to understanding the predisposing and triggering conditions of landslides and debris flows, as well as their spatio-temporal prediction.

This Special Issue aims to collect research works concerning the most recent progress on the hydrological modeling of landslides and debris flows at different spatial and temporal scales, covering a wide spectrum of approaches. We encourage presentations related to:

  • Laboratory or field models to assess conditions leading to the triggering of these phenomena;
  • Hydrological monitoring for the assessment of predisposing and triggering conditions of landslides and debris flows;
  • Physically-based and data-driven hydrological models for the assessment of the conditions leading to the development of landslides and debris flows;
  • Proximal and remote sensing methods for the measurement and modeling of hydrological effects on landslides and debris flows;
  • Effects of climatic global changes and land use modifications on hydrological models for predicting landslides and debris flows.

Dr. Massimiliano Bordoni
Dr. Giacomo Pepe
Guest Editors

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Keywords

  • landslides
  • debris flows
  • hydrological modeling
  • hazard
  • risk
  • remote sensing
  • land use
  • climate change

Published Papers (1 paper)

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Research

21 pages, 5785 KiB  
Article
Evaluation of Hydrological Rainfall Loss Methods Using Small-Scale Physical Landslide Model
by Nejc Bezak, Josip Peranić, Matjaž Mikoš and Željko Arbanas
Water 2022, 14(17), 2726; https://doi.org/10.3390/w14172726 - 1 Sep 2022
Cited by 3 | Viewed by 2120
Abstract
An adequate representation of the relationship between effective rainfall and rainfall losses is required in hydrological rainfall–runoff models to reduce the uncertainty of the modelling results. This study evaluates the performance of several hydrological rainfall loss methods using the experimental data obtained from [...] Read more.
An adequate representation of the relationship between effective rainfall and rainfall losses is required in hydrological rainfall–runoff models to reduce the uncertainty of the modelling results. This study evaluates the performance of several hydrological rainfall loss methods using the experimental data obtained from a laboratory small-scale physical landslide model with variable slope inclination, homogenous material and no vegetation effects. Three different experiments were selected and five rainfall loss methods were tested to evaluate their performance in reproducing the experimental results from the perspective of the surface runoff formation on the experimental slope. Initial and calibrated parameters were used to test the performance of these hydrological rainfall loss methods. The results indicate that the initial parameters of the rainfall loss model can satisfactorily reproduce the experimental results in some cases. Despite the fact that the slope material characteristics used in the laboratory experiments were relatively homogenous, some well-known methods yielded inaccurate results. Hence, calibration of the rainfall loss model proved to be essential. It should also be noted that, in some cases, the calibrated model parameters were relatively different from the initial model parameters estimated from the literature. None of the tested hydrological rainfall loss methods proved to be superior to the others. Therefore, in the case of natural environments with heterogeneous soil characteristics, multiple rainfall loss methods should be tested and the most suitable method should be selected only after cross-validation or a similar evaluation of the tested methods. Full article
(This article belongs to the Special Issue Hydrological Modeling of Landslides and Debris Flows)
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