Social Vulnerability Assessment for Flood Risk Analysis
| Autor: | Eduardo García-Meléndez, Laura Tascón-González, Montserrat Ferrer-Juliá, Maurici Ruiz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Risk analysis
lcsh:Hydraulic engineering 010504 meteorology & atmospheric sciences Geography Planning and Development Population 0211 other engineering and technologies Analytic hierarchy process flood risk 02 engineering and technology Aquatic Science 01 natural sciences Biochemistry lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 education 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 021110 strategic defence & security studies education.field_of_study Flood myth business.industry ahp Environmental resource management open public data sources Unit of analysis Weighting vulnerability indicators Geography vulnerability cartography Scale (social sciences) business local analysis Social vulnerability |
| Zdroj: | Water, Vol 12, Iss 2, p 558 (2020) Water Volume 12 Issue 2 |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w12020558 |
| Popis: | This paper proposes a methodology for the analysis of social vulnerability to floods based on the integration and weighting of a range of exposure and resistance (coping capacity) indicators. It focuses on the selection and characteristics of each proposed indicator and the integration procedure based on the analytic hierarchy process (AHP) on a large scale. The majority of data used for the calculation of the indicators comes from open public data sources, which allows the replicability of the method in any area where the same data are available. To demonstrate the feasibility of the method, a study case is presented. The flood social vulnerability assessment focuses on the municipality of Ponferrada (Spain), a medium-sized town that has high exposure to floods due to potential breakage of the dam located upstream. A detailed mapping of the social vulnerability index is generated at the urban parcel scale, which shows an affected population of 34,941 inhabitants. The capability of working with such detailed units of analysis for an entire medium-sized town provides a valuable tool to support flood risk planning and management. |
| Databáze: | OpenAIRE |
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