DUGi

Spatial approach for assessing vulnerability to urban flooding: a proposal for a multidimensional index

http://dugi.udg.edu/item/http:@@@@hdl.handle.net@@10256@@26976

This study introduces a methodology for evaluating vulnerability to urban flooding across different dimensions, by employing spatialdata analysis. The methodology consists of four steps: (1) selection of indicators that reflect the vulnerability of an urban area, (2)normalization of the data for each selected indicator across all dimensions, (3) assignment of weights for each indicator and dimension,and (4) mapping and classification using spatial analysis, resulting in a grid. This study proposes a comprehensive list of 36 potentialindicators for quantifying vulnerability, with each indicator falling under one of the four dimensions (social, economic, environmental,and physical) and three components of vulnerability (exposure, susceptibility, and resilience), which are part of Step 1. Additionally,the methodology is complemented by a data generation and spatial analysis technique for Step 4. The proposed methodology can serveplanners and policymakers to make objective decisions, based on vulnerability quantification through index for long-term vulnerabilityto flooding, considering each dimension separately, as well as integrating with each other, using a multidimensional and spatialrepresentation of flood risk vulnerability

This study is supported by the IFUdG 2021 pre-doctoral grant and acknowledges the funding from University de Girona, by CLEPSIDRA (Ref: TED2021-131862B-I00) and LEQUIA [2021-SGR-01352] has been recognized as consolidated research group by the Catalan Government. Lucia Alexandra Popartan acknowledges the support from Juan de la Cierva Formación grant (FJC2021-047857-I) financed by MCIN/AEI/https:// doi. org/10.13039/ 50110 00110 33 and European Union “NextGenerationEU”/PRTR. Sergi Nuss-Girona acknowledges the Territorial and Environmental Analysis and Planning (APTA) research group at the University of Girona

Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature