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Economic Analysis of Flood Risk Applied to the Rehabilitation of Drainage Networks

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Economic Analysis of Flood Risk Applied to the Rehabilitation of Drainage Networks

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dc.contributor.author Bayas-Jiménez, Leonardo es_ES
dc.contributor.author Martínez-Solano, F. Javier es_ES
dc.contributor.author Iglesias Rey, Pedro Luís es_ES
dc.contributor.author Boano, Fulvio es_ES
dc.date.accessioned 2023-05-05T18:01:11Z
dc.date.available 2023-05-05T18:01:11Z
dc.date.issued 2022-09 es_ES
dc.identifier.issn 2073-4441 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193160
dc.description.abstract [EN] Over time, cities have grown developing various activities, and accumulating important eco-nomic assets. Floods are a problem that worries city administrators who seek to make them more resilient and safer. This increase in flood events is due to different causes, poor planning, population increase, aging of networks, etc. However, the two main causes for the increase in urban flooding are the increment in frequency of extreme rainfall generated mainly by climate change and the increase in urbanized areas in cities, which reduce green areas, decreasing the percentage of water that seeps naturally into the soil. As a contribution to solve these problems, the work presented shows a method to rehabilitate drainage networks that contemplates im-plementing different actions in the network: renovation of pipes, construction of storm tanks and installation of hydraulic controls. This work focuses on evaluating the flood risk in econom-ic terms. To achieve this, the expected annual damage from floods and the annual investments in infrastructure to control floods are estimated. These two terms are used to form an objective function to be minimized. To evaluate this objective function, an optimization model is present-ed that incorporates a genetic algorithm to find the best solutions to the problem; the hydraulic analysis of the network is performed with the SWMM model. This work also presents a strategy to reduce computation times by reducing the search space focused mainly on large networks. This is intended to show a complete and robust methodology that can be used by managers and administrators of drainage networks in cities. es_ES
dc.description.sponsorship The APC was funded by the Universitat Politecnica de Valencia. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Water es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Urban drainage networks es_ES
dc.subject Flood es_ES
dc.subject Optimization models es_ES
dc.subject Economic analysis es_ES
dc.subject Network rehabilitation es_ES
dc.subject.classification MECANICA DE FLUIDOS es_ES
dc.title Economic Analysis of Flood Risk Applied to the Rehabilitation of Drainage Networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/w14182901 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Bayas-Jiménez, L.; Martínez-Solano, FJ.; Iglesias Rey, PL.; Boano, F. (2022). Economic Analysis of Flood Risk Applied to the Rehabilitation of Drainage Networks. Water. 14(18):1-20. https://doi.org/10.3390/w14182901 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/w14182901 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 20 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 18 es_ES
dc.relation.pasarela S\485104 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES
dc.subject.ods 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles es_ES


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