Water vulnerabilities mapping: a multi-criteria and multi-scale assessment in central Chile

Autor: Martin Paegelow, Jorge Quense, Anne Peltier, Cristian Henríquez Ruiz, Lucie Le Goff, Federico Arenas Vásquez, Jean-Marc Antoine
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Water Policy, Vol 24, Iss 1, Pp 159-178 (2022)
Druh dokumentu: article
ISSN: 1366-7017
1996-9759
84574658
DOI: 10.2166/wp.2021.116
Popis: One of the major challenges that populations have to face is vulnerability to water: lack of water, flooding, pollution, hazard sensitivity and coping capacity. Owing to economic, social and environmental inequalities, this paper focuses on water-related vulnerabilities in the Metropolitan Region of Santiago (RMS) in Chile. Our main objective is to understand, through mapping, the multiscalar logics of water vulnerability. This study is carried out at two scales: at the regional level (RMS), we proceed with open access municipal statistical data and maps, while at the local level, a more detailed analysis focusing on the Chacabuco Province is based on the same type of data but with either a higher spatial resolution (census districts) or a spatially more intensive data processing in order to take into account intra-municipal differences. In this way, we put into perspective the discourse developed in the Chilean media and by the inhabitants of Chacabuco Province regarding the province as an environmental ‘sacrifice zone’ for the RMS. The vulnerability maps are carried out at different scales in a simple and reproducible way by multi-criteria evaluation (MCE). The results confirm the hypothesis of a sacrifice zone and show that high-resolution data and adequate data processing give, on average, lower vulnerability scores than using only statistical data on the municipal level. The results provide a cartographic decision support for stakeholders. Limitations of the study are discussed and required further research is pointed out. HIGHLIGHTS Multi-criteria and multi-scale assessment to map water vulnerabilities in the Metropolitan Region of Chile.; Use of scale dependant data and critical analysis of benefits of higher spatial resolution data.; Use of open access data to allow mapping generalization.; The calculation of several scenarios varying trade-offs and risk levels can support better decision-making.;
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