
A new model to analyze urban flood risk. Case study: Veracruz, Mexico
Author(s) -
Emmanuel Zúñiga,
David A. Novelo Casanova,
Christian Domínguez,
Marcelino García Benítez,
Violeta Piña
Publication year - 2022
Publication title -
nova scientia
Language(s) - English
Resource type - Journals
ISSN - 2007-0705
DOI - 10.21640/ns.v14i28.2956
Subject(s) - flood myth , flooding (psychology) , vulnerability (computing) , hazard , geography , environmental science , risk assessment , risk analysis (engineering) , computer science , business , psychology , chemistry , computer security , archaeology , organic chemistry , psychotherapist
Due to their frequency and magnitude, urban floods affect different regions of the world. For this reason, several methodologies integrate information on hazard (H) and vulnerability (V) using a «Classic» Risk (R) model for risk analysis. However, this combination of variables generally overestimates the risk in places where the frequency of flooding is low. In this work we propose a model that we call «Adjusted Risk» (AR) that integrates values of urban proximity (p) to bodies of water, as a tool to assess the risk of floods. The comparison between the R and AR models showed a higher efficiency of AR to reproduce the frequency of floods for 210 cities in Veracruz, while R overestimated the level of risk in cities with low frequency of floods. The correlation values associated with the frequency of flood events for a period of 45 years (1970-2015), allow to establish the utility of the AR model to evaluate the risk of urban floods when using different scales of analysis.