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Climate Change Impacts on Landslide Activity

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

Deadline for manuscript submissions: 30 May 2026 | Viewed by 135

Special Issue Editors


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Guest Editor
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
Interests: engineering geology; coseismic landslide; shallow landslide; landslide mechanism; monitoring and early warning; numerical simulation; hydrological processes; geo-logical hazards of oil and gas pipelines; intelligent engineering geology
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
Interests: engineering geology; reservoir landslide; clustered shallow landslides; rock mass structure; artificial intelligence; risk forecasting; monitoring and early warning; disaster chain; remote sensing
Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China
Interests: earthquake-induced landslides; rock mechanics; slope stability; modeling; hazard assessment

Special Issue Information

Dear Colleagues,

Climate change is increasingly being recognized as a critical driver of landslide activity worldwide. Changes in precipitation patterns, temperature extremes, permafrost thaw, and sea-level rise are altering slope stability conditions in diverse geological settings. Understanding the mechanisms through which climate change influences landslide initiation, frequency, and distribution is essential for hazard assessment, risk management, and adaptation planning. This research area intersects climatology, hydrology, geomorphology, and geotechnical engineering, and we call for multidisciplinary approaches to address emerging challenges.

Therefore, with this Special Issue, we aim to collate cutting-edge research on the linkages between climate change and landslide behavior. We hope that this Special Issue will explore how past, present, and future climate conditions affect landslide triggers, mechanisms, and spatial–temporal patterns. This Special Issue aligns with the scope of Water by focusing on the hydrological and environmental aspects of landslide processes, and we seek to foster a deeper understanding of climate-driven slope instability.

Potential topics of interest include, but are not limited to, the following:

- Projected changes in landslide activity under future climate scenarios;

- The role of extreme weather events in triggering landslides;

- Impact of permafrost degradation on slope stability;

- Landslide–climate interactions in coastal and mountainous regions;

- Modeling of hydrological and mechanical processes in climate-affected slopes;

- Early warning systems and risk mitigation strategies under climate change;

- Remote sensing and monitoring techniques for climate-related landslide studies.

We look forward to receiving your contributions.

Prof. Dr. Wenkai Feng
Dr. Xiaoyu Yi
Dr. Shan Dong
Guest Editors

Manuscript Submission Information

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Keywords

  • climate change
  • landslides
  • slope stability
  • hazard assessment
  • rainfall
  • temperature
  • permafrost
  • remote sensing
  • modeling
  • risk management

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Published Papers (1 paper)

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Research

27 pages, 31276 KB  
Article
Occurrence Frequency Projection of Rainfall-Induced Landslides Under Climate Change in Chongqing, China
by Jiayao Wang, Juan Du, Jiacan Zhang and Chengfeng Ren
Water 2026, 18(2), 178; https://doi.org/10.3390/w18020178 - 9 Jan 2026
Abstract
As one of China’s major megacities, Chongqing is highly vulnerable to rainfall-induced landslides, and the increasing frequency of extreme rainfall driven by climate change further exacerbates risks to infrastructure and public safety. Although numerous studies on landslide susceptibility, quantitative assessments of future landslide [...] Read more.
As one of China’s major megacities, Chongqing is highly vulnerable to rainfall-induced landslides, and the increasing frequency of extreme rainfall driven by climate change further exacerbates risks to infrastructure and public safety. Although numerous studies on landslide susceptibility, quantitative assessments of future landslide frequency under different climate scenarios remain insufficient. This study addresses this gap by integrating high-resolution climate projections with a landslide early-warning model to predict spatiotemporal variations in landslide hazard across Chongqing. Based on regional climate characteristics, the rainy season was divided into three periods: May–June, July, and August–September. Soil moisture variations, together with static geological and topographic factors, were integrated using the information value model to assess the semi-dynamic landslide susceptibilities. On this basis, a regional warning model was then established by linking rainfall thresholds to four geological subregions. High-resolution NEX-GDDP-CMIP6 projections and historical ERA5 0rainfall data were used to quantify changes in exceedance days under four shared socioeconomic pathways (SSPs) from 2021 to 2100. Results indicate a substantial increase in days exceeding the 30% landslide-triggering rainfall threshold, with maximum relative growth of 15.57%. Landslide frequency exhibits pronounced spatial and temporal heterogeneity: increases are observed in May–June and August–September, whereas July trends vary with radiative forcing-decreasing under low-forcing scenarios (SSP1-2.6, SSP2-4.5) and increasing under high-forcing scenarios (SSP3-7.0, SSP5-8.5). The largest increase in frequency reaches 72%, primarily affecting southwestern and central Chongqing. By linking climate projections with rainfall thresholds and semi-dynamic susceptibility assessment, the framework provides a scientific reference for landslide risk prevention and mitigation under future climate scenarios, and offers transferable insights for other mountainous urban regions facing similar hazards. Full article
(This article belongs to the Special Issue Climate Change Impacts on Landslide Activity)
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