Mitigating Hydrologically Induced Slope Failures Through Nature-Based Solutions

A special issue of Hydrology (ISSN 2306-5338). This special issue belongs to the section "Hydrology–Climate Interactions".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 555

Editors

Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR 955077, China
Interests: unsaturated soil mechanics; THM; slope instability; plant–soil interactions; environmental geotechnics; climate change

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Guest Editor
School of Intelligent Civil and Ocean Engineering, Harbin Institute of Technology, Shenzhen (HITSZ), Shenzhen 518000, China
Interests: unsaturated soil mechanics; eco and environmental geotechnics; low-carbon disposal and utilisation of solid waste; geotechnical disasters prevention and risk-driven warning; lifecycle resilience and intelligent perception of geotechnical engineering
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Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR 955077, China
Interests: geotechnical risk and reliability; resilience assessment; uncertainty quantification; deep learning; eco-geotechnics; rainfall-induced landslides

Special Issue Information

Dear Colleagues,

Hydrologically induced slope failures, including shallow landslides and surface erosion, are major natural hazards driven by rainfall, infiltration, runoff, and subsurface flow. These processes threaten lives, infrastructure, and ecosystems, especially in mountainous and weather-sensitive regions. While conventional engineering solutions have long been employed for slope stabilization, they may be costly, environmentally disruptive, and less adaptive to long-term landscape dynamics.

In recent years, nature-based solutions (NbS) have emerged as sustainable and multifunctional alternatives or complements to conventional techniques. This Special Issue invites contributions that explore the application, evaluation, and innovation of NbS for managing hydrologically driven slope instability and landslide risks. Topics of interest include vegetation-based reinforcement, soil bioengineering, eco-hydrological processes, land management practices, and hybrid green–gray infrastructure. We especially welcome interdisciplinary submissions that combine hydrology, geotechnics, ecology, and socio-economic analysis.

Through this Special Issue, we aim to advance the scientific understanding and practical implementation of NbS, highlight their long-term benefits, and identify knowledge gaps for future research in the context of climate change and increasing landscape vulnerability.

We look forward to receiving your original research articles and reviews.

Dr. Qi Zhang
Prof. Dr. Haowen Guo
Dr. Chuanxiang Qu
Guest Editors

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Keywords

  • nature-based solutions
  • slope instability
  • shallow landslides
  • rainfall-induced failure
  • surface erosion
  • subsurface flow/piping
  • vegetation reinforcement
  • bioengineering

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Published Papers (1 paper)

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Research

28 pages, 13372 KB  
Article
Modeling of Climate-Driven Socioeconomic Landslide Risk in a Tropical Andean Region
by Daniel Camilo Ortiz-Hernández, Carlos Alfonso Zafra-Mejía and Amed Bonilla Pérez
Hydrology 2026, 13(6), 161; https://doi.org/10.3390/hydrology13060161 - 18 Jun 2026
Viewed by 192
Abstract
Landslides constitute one of the most lethal and costly hydrometeorological hazards at the global scale. There is a growing trend associated with the increase in extreme precipitation and the expansion of urban development on unstable slopes. In the tropical Andes, this problem is [...] Read more.
Landslides constitute one of the most lethal and costly hydrometeorological hazards at the global scale. There is a growing trend associated with the increase in extreme precipitation and the expansion of urban development on unstable slopes. In the tropical Andes, this problem is intensified under climate change scenarios. The objective of this study is to develop a logistic regression model to analyze socioeconomic risk due to landslides in the Bogotá Savannah (Colombia). An integrated risk model was developed using binary logistic regression and a socioeconomic vulnerability index. A total of 12 physical–biotic variables and SSP climate projections (2021–2040) were used. A GIS-based environment was implemented to generate prospective spatial risk scenarios. The model demonstrated high robustness and predictive capability, with an improvement in statistical goodness-of-fit of 8.2% (AIC: 2574–2367), adequate probabilistic calibration (Pseudo-R2: 0.675; Brier Score: 0.084), and excellent predictive performance (AUC: 0.935; sensitivity: 84.7%; specificity: 90.0%). Simulations estimated maximum risk probabilities close to 0.600 (scale between 0 and 1), concentrated in geomorphologically critical sectors. Simulations under SSP scenarios showed a progressive increase in risk toward 2040 (up to 0.673), associated with precipitation increases between 10 and 30%. Integrated modeling constitutes a reliable technical tool for land-use planning, climate adaptation, and prospective landslide risk management in urbanized Andean regions. Full article
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