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Risk Analysis in Landslide- and Groundwater-Related Hazards, 2nd Edition

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

Deadline for manuscript submissions: closed (25 November 2024) | Viewed by 1248

Special Issue Editors


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Guest Editor
College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China
Interests: hydrogeology; environmental impact assessment; natural hazard susceptibility; spatial modeling; machine learning; geology; civil engineering
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Special Issue Information

Dear Colleagues,

Many disasters related to global climate change and water, such as landslides, groundwater, and floods, occur all over the world each year. In most cases, natural disasters of this kind have caused serious financial and human losses worldwide. It is mainly caused by the gradual or extreme action of factors related to the climate, structure, geological morphology process, and human activities that have a negative impact on the geological environment. Although the scientific community tries to simulate these phenomena with high accuracy to obtain the risk of landslide- and groundwater-related hazards, some characteristics leading to their evolution and occurrence are still unclear. Natural disasters seem to be complex in nature, as are the changes in frequency, speed, duration, and affected areas. All these characteristics make it a rather difficult task to fully understand the mechanisms behind their evolution and occurrence.

Accurate and timely prediction of these disasters and the identification of their risks can not only protect people from injury and death, but also reduce property losses and economic losses caused by these disasters. Advances in science and technology have greatly improved our disaster management capabilities. However, it is still necessary to apply advanced prediction tools to various landslide- and groundwater-related disasters to analyze their risks.

This Special Issue aims to provide an outlet for peer-reviewed publications that implement state-of-the-art methods and techniques incorporating spatial analysis, AI, and ML methods to map, monitor, evaluate, and assess landslide and groundwater disasters, emphasize our understanding of disaster mechanisms, and build a safer future. This Special Issue focuses on the risks related to landslide and groundwater hazards and invites contributions using the most advanced research as well as case studies and lessons learned from failures, including, but not limited to, the following:

  • Sequential landslide monitoring, earthquake landslides, landslides caused by rainfall, geotechnical engineering problems related to landslides, landslide risk prediction and assessment, landslide triggering and failure mechanisms, numerical modeling and GIS application zoning of hazards, the development of new monitoring techniques and forecasting models for early warning systems, etc.
  • Mechanism of groundwater-related disasters, numerical analysis methods of rock–soil–fluid–solid coupling, groundwater evolution law, spatial isotope data and modeling, groundwater seismic effect models, groundwater risk assessment and dynamic control, water resources assessment and management, groundwater dating and paleohydrology, new trends and challenges in isotope hydrology, etc.

Prof. Dr. Wei Chen
Dr. Paraskevas Tsangaratos
Dr. Ioanna Ilia
Dr. Xia Zhao
Guest Editors

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Keywords

  • landslide susceptibility
  • landslide hazard analysis
  • risk analysis
  • risk evaluation
  • risk management
  • rainfall
  • groundwater
  • modelling
  • monitoring

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Published Papers (1 paper)

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Research

26 pages, 35179 KiB  
Article
Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China
by Zhennan Ye, Yuntao Tian, Hao Li, Changqing Shao, Youlong Gao and Gaofeng Wang
Water 2024, 16(13), 1764; https://doi.org/10.3390/w16131764 - 21 Jun 2024
Viewed by 849
Abstract
Risk assessment provides a powerful tool for the early warning and risk mitigation of geohazards. However, few efforts have been made regarding risk assessment and dynamic control at multiple scales. With respect to this issue, the West Han River catchment in the Gansu [...] Read more.
Risk assessment provides a powerful tool for the early warning and risk mitigation of geohazards. However, few efforts have been made regarding risk assessment and dynamic control at multiple scales. With respect to this issue, the West Han River catchment in the Gansu Province of China was taken as a study area, and geohazard risk assessments at three different scales were carried out, namely regional, local and site scales. Hazard assessment was performed using the combination of the information value and hierarchical analysis models, infinite slope stability model, and FLO-2D model. Vulnerability was estimated from two viewpoints, including physical vulnerability and social vulnerability, by applying remote sensing and semi-quantitative methods. Finally, risk mapping and zonation was obtained from the products of hazard and vulnerability, and corresponding measures of risk management and control at different scales were recommended. The results indicated that the geohazard risk at the regional scale was the highest under the earthquake and rainfall conditions with a 100-year (100a) return period, respectively, and the area of very high risk level reached 5%. When the rainfall condition had a return period of 50 years, only 1% of the area was located in the very high-risk region. Additionally, the overall risk was higher in the central and northeastern parts of the region under heavy rainfall and earthquake conditions. The overall risk level in Longlin-Leiba Town (at the local scale) responded more significantly to heavy rainfall conditions, with higher risk in the southwestern, central, and northeastern parts of the region. For the site scale (Wujiagou debris flow), only 2% of the total area was identified as very high-risk even under heavy rainfall with a 100a return period, but the proportions for the low and moderate levels reached 30% and 56%, respectively. The present study can provide scientific references for geohazard risk assessment and control. Full article
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