Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 714 - 714

Published: Feb. 19, 2025

Yu’nan County is located in the Pacific Rim geological disaster-prone area. Frequent landslides are an important cause of population, property, and infrastructure losses, which directly threaten sustainable development regional social economy. Based on field survey data, this paper employs coefficient variation method (CV) improved TOPSIS model (Kullback-Leibler-Technique for Order Preference by Similarity to Ideal Solution) assess vulnerability landslide disasters 182 administrative villages County. Also, it conducts a ranking comprehensive analysis their levels. Finally, accuracy evaluation results validated applying losses incurred from per unit area within same year. The indicate significant spatial variability across County, with 68 out exhibiting moderate levels or higher. This suggests high risk widespread damage potential disasters. Among these, Xincheng village has highest score, while Chongtai lowest, 0.979 difference vulnerabilities. By comparing actual landslides, found that predicted CV-KL-TOPSIS more consistent results. Furthermore, among ten sub-factors, population density, building value, road value contribute most significantly overall weight 0.269, 0.152, 0.105, respectively, suggesting mountainous areas where relatively concentrated, hazards reflection characteristics local economic level. framework indicators proposed can systematically accurately evaluate landslide-prone areas, provide reference urban planning management areas.

Language: Английский

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Conflict analysis of disputes in livelihood vulnerability assessment of flood using fuzzy TOPSIS method and GMCR with triangular fuzzy numbers

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

Flooding is a common natural disaster that poses direct threat to the livelihoods of residents in developing countries who lack sufficient funding and technology. In system for assessing livelihood vulnerability (LHV) homeless impoverished populations, decision-makers (DMs) come from various departments. Additionally, DMs may involve one or more stakeholders. Thus, disputes negotiation process LHV assessment have become very frequent, which will seriously prevent restoring their production life. addition, complex attributes flood disasters inherent ambiguity human choice exacerbate inhomogeneity uncertainty assessment. The traditional graph model conflict resolution (GMCR) was proposed resolve real-life conflicts. To alleviate damage caused by floods uncertain environments, novel GMCR with TFNs constructed. Specifically, first, triangular fuzzy numbers (TFNs) are used character DM's preference on different states Then, Technique Order Preference Similarity Ideal Solution (F-TOPSIS) method constructed rank all environments. Next, set stability concepts determined obtain equilibrium disputes. Finally, applied Yangtze River basin China. research not only promotes theory development but also provides theoretical reference solve crises enhance security residents.

Language: Английский

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Study on the Spatial Distribution Patterns and Driving Forces of Rainstorm-Induced Flash Flood in the Yarlung Tsangpo River Basin

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1393 - 1393

Published: April 14, 2025

Flash floods, typically triggered by natural events such as heavy rainfall, snowmelt, and dam failures, are characterized abrupt onset, destructive power, unpredictability, challenges in mitigation. This study investigates the spatial distribution patterns driving mechanisms of rainstorm-induced flash flood disasters Yarlung Tsangpo River Basin (YTRB) integrating topography, hydrometeorology, human activity data, historical disaster records. Through a multi-method analysis framework—including kernel density estimation, standard deviation ellipse, autocorrelation (Moran’s I Getis–Ord Gi*), optimal parameter geographic detector (OPGD) model (integrating univariate interaction detection)—we reveal multiscale dynamics across county, township, small catchment levels. Key findings indicate that finer resolution (e.g., scale) enhances precision when identifying high-risk zones. Temporally, number floods increased significantly disaster-affected areas expanded from 1980s to 2010s, with peak dispersion observed during 2010–2019, reflecting westward shift distribution. Spatial aggregation persisted throughout period, concentrated central basin. Village (TD) was identified predominant factor, exhibiting nonlinear amplification through interactions short-duration rainfall (particularly 3 h [P3] 6 [P6] maximum precipitations) GDP. These precipitation durations demonstrated compounding risk effects, where sustained intensity progressively heightened potential. Topographic ecological interactions, particularly between elevation (DEM) vegetation type (VT), further modulate intensity. provide critical insights for zonation targeted prevention strategies high-altitude river basins.

Language: Английский

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Geospatial Approach to Assess Flash Flood Vulnerability in a Coastal District of Bangladesh: Integrating the Multifaceted Dimension of Vulnerabilities

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(5), P. 194 - 194

Published: May 6, 2025

Flash floods pose a significant threat to Bangladesh; in particular, on 20 August 2024, the Feni district experienced major flash flood, affecting more than 550,000 people and causing widespread damage. To effectively mitigate impacts of floods, it is essential conduct comprehensive flood vulnerability assessment, incorporating multiple triggering factors. This study aims assess District through unique approach, integrating various dimensions vulnerability. The utilizes geospatial methodology, employing formula developed by UNESCO-IHE. Four were analyzed: social, physical, economic, environmental. For each dimension, specific variables selected exposure, susceptibility, resilience. Principal Component Analysis (PCA) was used assign weights these variables. layers influencing factors integrated together create maps four dimensions. These then overlaid generate composite map. analysis revealed distinct spatial distribution across District. In terms environmental due about 14% total area falls into very highly vulnerable zone, whereas 13%, 8% 5% found be regarding economic physical aspects, respectively. map identified key hotspots, with most unions (the smallest administrative unit Bangladesh) being Pourashava (68% high), Sonagazi Paurashava (40% Nawabpur (32% while least areas Jailashkara (58% low), Anandapur (81% Darbarpur (82% low). results show that District’s susceptibility varies significantly throughout region, which provide crucial insights for policymakers local authorities order identify prioritize interventions areas, enhance resilience, implement adaptive strategies.

Language: Английский

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Assessment of the spatial and temporal dynamics of food system resilience and its response to natural hazards

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 112, P. 104781 - 104781

Published: Aug. 24, 2024

Language: Английский

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Assessing Critical Flood-Prone Districts and Optimal Shelter Zones in the Brahmaputra Valley: Strategies for Effective Flood Risk Management

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103772 - 103772

Published: Oct. 1, 2024

Language: Английский

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