Climate Change Data Portal
DOI | 10.1007/s11069-020-04247-7 |
Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil | |
de Azevedo Reis G.; de Souza Filho F.A.; Nelson D.R.; Rocha R.V.; da Silva S.M.O. | |
发表日期 | 2020 |
ISSN | 0921030X |
起始页码 | 1781 |
结束页码 | 1799 |
卷号 | 104期号:2 |
英文摘要 | Although climate change vulnerability research in general has increased over the last decade, Latin American countries have more directed more limited efforts toward vulnerability and its social aspects. To respond to this gap, the authors developed a method to quantify drought vulnerability, which is key climate risk in Brazil. The iSECA model uses MCDM techniques to calculate vulnerability indexes by applying weighting schemes to indicators that represent climatological, social, economic, and water management factors. GIS software was used to classify and to map vulnerability. The model output is a drought vulnerability index, displayed through maps and graphs, including a vulnerability triangle and frequency curves. The results provide a clear understanding for water managers and non-specialists and can serve as an indispensable tool for water management in drought-prone regions. A sensitivity analysis confirms the model's robustness. iSECA was applied to Ceará and São Paulo, two states with distinct climatological and socio-economic contexts. The application demonstrated how the model works well across different spatial scales within these different contexts. The study found that in São Paulo more than 30 million people are living with very high vulnerability to drought primarily due to water management characteristics. However, in Fortaleza, Ceará, the climatic factors are the most critical. Even the state’s robust interbasin water infrastructure system does not significantly reduce the drought risk. The ability to identify vulnerability hotspots and the underlying characteristics that influence the rankings provides the necessary input of policy decisions. © 2020, Springer Nature B.V. |
关键词 | DroughtGISMCDMVulnerability |
英文关键词 | drought; GIS; numerical model; quantitative analysis; risk factor; sensitivity analysis; software; vulnerability; Brazil; Ceara; Sao Paulo [Brazil] |
语种 | 英语 |
来源期刊 | Natural Hazards
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/205656 |
作者单位 | Department of Hydraulic and Environmental Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil; Department of Anthropology, University of Georgia, Athens, GA, United States |
推荐引用方式 GB/T 7714 | de Azevedo Reis G.,de Souza Filho F.A.,Nelson D.R.,et al. Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil[J],2020,104(2). |
APA | de Azevedo Reis G.,de Souza Filho F.A.,Nelson D.R.,Rocha R.V.,&da Silva S.M.O..(2020).Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil.Natural Hazards,104(2). |
MLA | de Azevedo Reis G.,et al."Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil".Natural Hazards 104.2(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。