Journal article
Regional flood risk grading assessment considering indicator interactions among hazard, exposure, and vulnerability: A novel FlowSort with DBSCAN
Journal of hydrology (Amsterdam), 131587
Jul 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
With escalating flood risks due to global warming and frequent extreme rainfall events, it is crucial to highlight the importance of flood risk assessment for devising prudent mitigation strategies and promoting sustainable development. Against this backdrop, this study proposes a novel regional flood risk grading assessment method, namely the Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-FlowSort method, aimed at comprehensively assessing flood risks in county-level regions of Anhui Province. The innovation of this method lies in its consideration of interactions among the hazard, exposure, and vulnerability subsystems, as well as the comprehensive determination of assessment indicator weights through the Probability Language Term Set-Decision Making Trial and Evaluation Laboratory (PLTS-DEMATEL) and Entropy Weight Method (EWM). Thus, the subjectivity and objectivity of the weights of the indicators are integratedly taken into account. Additionally, this study introduces DBSCAN to generate reference profiles, improving the reliance on expert input in the traditional FlowSort method and enhancing the automation and objectivity of the evaluation process. The results of the study demonstrate that the DBSCAN-FlowSort method exhibits superior classification performance in predicting flood hazards, particularly in accurately identifying and assessing high-risk areas when considering interactions among indicators in different subsystems. This method provides a new scientific tool for flood risk assessment and management, which is crucial for devising flood resource allocation and risk mitigation measures in both theory and practice.
•Flood risk grading assessment in county-level regions is conducted.•PLTS-DEMATEL deals with indicator interactions to obtain more objective weights.•DBSCAN-FlowSort, proposed for flood risk assessment, yields more reasonable results.•Interactions among indicators from different subsystems markedly effect outcomes.
Metrics
Details
- Title
- Regional flood risk grading assessment considering indicator interactions among hazard, exposure, and vulnerability: A novel FlowSort with DBSCAN
- Creators
- Yan Tu - Wuhan University of TechnologyZhenxing Tang - Wuhan University of TechnologyBenjamin Lev - Drexel University
- Publication Details
- Journal of hydrology (Amsterdam), 131587
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:001271933500001
- Scopus ID
- 2-s2.0-85198135832
- Other Identifier
- 991021893214904721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Civil
- Geosciences, Multidisciplinary
- Water Resources