Debris-flow susceptibility assessment in Dongchuan using stacking ensemble learning including multiple heterogeneous learners with RFE for factor optimization

Li, Kun; Zhao, Junsan; Lin, Yilin

doi:10.1007/s11069-023-06099-3

Cited by 7 publications

(2 citation statements)

References 55 publications

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“…Debris flows frequently follow river valleys and ravines, which facilitate the convergence of water flow and the transportation of eroded rock-soil material. For this study, the chosen assessment indicators encompassed elevation, slope, lithology, topography, distance to fault, distance to river, distance to landslide and collapse, and precipitation [71][72][73][74]. The distance to landslide and collapse was calculated using ArcGIS 10.6 with the Euclidean distance method.…”

Section: Assessment Indicatorsmentioning

confidence: 99%

“…Chang et al (2022) [21] researched the susceptibility of landslides, collapses, ground subsidence, and debris flows, proposing a multi-hazard vulnerability assessment method. Li et al (2023) [22] developed an assessment framework for the ecological geo-environment vulnerability of arid and semi-arid cities, focusing on land desertification, soil erosion, and landslides. While these studies have made progress, there is currently no unified quantitative scoring standard, and research on geo-environment vulnerability assessment in large urban clusters is limited [23].…”

Section: Introductionmentioning

confidence: 99%

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Geo-Environment Vulnerability Assessment of Multiple Geohazards Using VWT-AHP: A Case Study of the Pearl River Delta, China

Huang,

Wu,

et al. 2023

Remote Sensing

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Geohazards pose significant risks to communities and infrastructure, emphasizing the need for accurate susceptibility assessments to guide land-use planning and hazard management. This study presents a comprehensive method that combines Variable Weight Theory (VWT) with Analytic Hierarchy Process (AHP) to assess geo-environment vulnerability based on susceptibility to various geohazards. The method was applied to the Pearl River Delta in China, resulting in the classification of areas into high vulnerability (5961.85 km2), medium vulnerability (19,227.93 km2), low vulnerability (14,892.02 km2), and stable areas (1616.19 km2). The findings demonstrate improved accuracy and reliability compared to using AHP alone. ROC curve analysis confirms the enhanced performance of the integrated method, highlighting its effectiveness in discerning susceptibility levels and making informed decisions in hazard preparedness and risk reduction. Additionally, this study assessed the risks posed by geohazards to critical infrastructures, roads, and artificial surfaces, while discussing prevention strategies. However, this study acknowledges certain limitations, including the subjective determination of its judgment matrix and data constraints. Future research could explore the integration of alternative methods to enhance the objectivity of factor weighting. In practical applications, this study contributes to the understanding of geo-environment vulnerability assessments, providing insight into the intricate interplay among geological processes, human activities, and disaster resilience.

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Section: Assessment Indicatorsmentioning

confidence: 99%