Regional Landslide Hazard and Risk Assessment Considering Landslide Spatial Aggregation and Hydrological Slope Units
Source abstract
Abstract
Landslide risk assessment (LRA) is an important basis for disaster risk management. The widespread phenomenon of landslide spatial aggregation brings uncertainty to landslide hazard assessment (LHA) in LRA studies, but it is often overlooked. Based on the frequency ratio (FR) method, we proposed the dual-frequency ratio (DFR) method, which can quantitatively analyze the degree of landslide spatial aggregation. Using the analytic hierarchy process (AHP) and random forest (RF) models, we applied the DFR method to the LRA study of the Karakoram Highway section in China. According to the receiver operating characteristic (ROC) curve and the distribution characteristics of landslide hazard indices (LHIs), we evaluated the application effect of the DFR method. The results showed that the LHA models using the DFR method performed with higher accuracy and predicted more landslides in the zones with a high LHI. Moreover, the DFR-RF model had the best prediction performance, and its predictions were adopted together with vulnerability values to calculate the landslide risk. The zones with very high and high landslide risks were predominantly concentrated along highways in southern Aoyitake Town.
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Research context
OpenAlex topics: Landslides and related hazards · Geotechnical Engineering and Analysis · Cryospheric studies and observations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Xinjiang Key Laboratory of Geohazard Prevention, Xinjiang Institute of Engineering, Urumqi 830023, China
Funding
Science and Technology Partnership Program of the Shanghai Cooperation Organization · Xinjing Department of Science and Technology · Third Xinjiang Scientific Expedition Program · Second Tibetan Plateau Scientific Expedition and Research Program (STEP)
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