Development of a framework for assessing climate risk in water supply and its computation for the Districts of Maharashtra, India
Bibliographic Data
| ID | 21697254 |
|---|---|
| Authors | Yusuf Kabir (a UNICEF Field Office for Maharashtra, Mumbai, India), M Dinesh Kumar (0000-0001-7746-0417, b Institute for Resource Analysis and Policy, Hyderabad, India, corresponding author), Anand Ghodke (a UNICEF Field Office for Maharashtra, Mumbai, India), Balaji Vharkat (a UNICEF Field Office for Maharashtra, Mumbai, India), Vaishnavi PNA (b Institute for Resource Analysis and Policy, Hyderabad, India) |
| Year | 2024 |
| Volume | 26 |
| Issue | 11 |
| Pages | 1158-1182 |
| Publication date | 2024-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Water Policy (JOURNAL) |
| Journal identifiers | ISSN: 1366-7017 • E-ISSN: 1996-9759 |
| Publisher | IWA Publishing (PUBLISHER • GB) |
| DOI | 10.2166/wp.2024.230 |
| OpenAlex | W4403967502 |
| Language | EN |
| References cited | 26 |
The paper discusses the development of a composite index for assessing the risks faced by rural communities because of disruptions in water supply caused by natural hazards such as droughts, floods, and landslides. The various parameters considered for developing the three dimensions of the risk index, namely, hazard, exposure, and vulnerability, the rationale for choosing those parameters, and the manner in which these parameters influence them are discussed. The index uses 29 variables: five for hazard, 15 for exposure, and the remaining nine for vulnerability. The variables are natural, physical, socioeconomic, and institutional or policy-related. The quantitative criteria for assigning values for various parameters and the analytical procedure for computing the sub-indices and the final risk index are also discussed. The paper also presents the results of a mapping of climate-induced risk to water supply in 35 districts of the state of Maharashtra in western India, done using district level data on the various parameters concerned, and identifying the district where water supply systems are highly prone to climate-induced risks
Business · Computation · Economics · Environmental planning · Geography · Natural resource economics · Water resource management · Water supply · Computer Science · Environmental Science · Water resources management and optimization · Environmental Engineering
Socioeconomic Vulnerability and Adaptation to Environmental Risk
Water scarcity
Macro‐scale water scarcity requires micro‐scale approaches
Climate change and human health
Rural drinking water issues in India’s drought-prone area
Urban equity and urban health
Cross-impact techniques in technology assessment
| Citation velocity | historical |
|---|---|
| Highly cited | No |