Mostrar el registro sencillo

dc.contributor.authorManchado del Val, Cristina 
dc.contributor.authorRoldán Valcarce, Alejandro 
dc.contributor.authorJato Espino, Daniel 
dc.contributor.authorAndrés-Doménech, Ignacio
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-01-12T17:42:46Z
dc.date.available2022-01-12T17:42:46Z
dc.date.issued2021
dc.identifier.issn1661-7827
dc.identifier.issn1660-4601
dc.identifier.otherRTI2018-094217-B-C32 (MCIU/AEI/FEDER, UE)es_ES
dc.identifier.urihttp://hdl.handle.net/10902/23701
dc.description.abstractABSTRACT: Surface runoff determination in urban areas is crucial to facilitate ex ante water planning, especially in the context of climate and land cover changes, which are increasing the frequency of floods, due to a combination of violent storms and increased imperviousness. To this end, the spatial identification of urban areas prone to runoff accumulation is essential, to guarantee effective water management in the future. Under these premises, this work sought to produce a tool for automated determination of urban surface runoff using a geographic information systems (GIS). This tool, which was designed as an ArcGIS add-in called ArcDrain, consists of the discretization of urban areas into subcatchments and the subsequent application of the rational method for runoff depth estimation. The formulation of this method directly depends on land cover type and soil permeability, thereby enabling the identification of areas with a low infiltration capacity. ArcDrain was tested using the city of Santander (northern Spain) as a case study. The results achieved demonstrated the accuracy of the tool for detecting high runoff rates and how the inclusion of mitigation measures in the form of sustainable drainage systems (SuDS) and green infrastructure (GI) can help reduce flood hazards in critical zoneses_ES
dc.description.sponsorshipThis research was funded by the Spanish Ministry of Science, Innovation, and Universities, with funds from the State General Budget (PGE) and the European Regional Development Fund (ERDF), grant number RTI2018-094217-B-C32 (MCIU/AEI/FEDER, UE).es_ES
dc.format.extent17 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceInternational Journal of Environmental Research and Public Health 2021, 18, 16, 8802es_ES
dc.subject.otherAutomationes_ES
dc.subject.otherFlood mitigationes_ES
dc.subject.otherGeographic information systemes_ES
dc.subject.otherLand coveres_ES
dc.subject.otherPeak flowes_ES
dc.subject.otherPermeable surfaceses_ES
dc.subject.otherRational methodes_ES
dc.subject.otherUrban runoffes_ES
dc.titleArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.3390/ijerph18168802es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/ijerph18168802
dc.type.versionpublishedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

Attribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.