Manchado, C.; Roldán-Valcarce, A.; Jato-Espino, D.; Andrés-Doménech, I. (2021). ArcDrain: A GIS add-in for automated determination of surface runoff in urban catchments. International Journal of Environmental research and Public Health (Online). 18(16):1-17. https://doi.org/10.3390/ijerph18168802
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/188457
Título:
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ArcDrain: A GIS add-in for automated determination of surface runoff in urban catchments
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Autor:
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Manchado, Cristina
Roldán-Valcarce, Alejandro
Jato-Espino, Daniel
Andrés-Doménech, Ignacio
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
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Fecha difusión:
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Resumen:
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[EN] 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 ...[+]
[EN] 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 zones.
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Palabras clave:
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Automation
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Flood mitigation
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Geographic information system
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Land cover
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Peak flow
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Permeable surfaces
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Rational method
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Urban runoff
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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International Journal of Environmental research and Public Health (Online). (eissn:
1660-4601
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DOI:
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10.3390/ijerph18168802
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Editorial:
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MDPI AG
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Versión del editor:
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https://doi.org/10.3390/ijerph18168802
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094217-B-C31/ES/CARACTERIZACION AMBIENTAL DE SECCIONES FILTRANTES Y HERRAMIENTAS DE GOBERNANZA INTELIGENTE PARA UN DRENAJE URBANO SOSTENIBLE A ESCALA CIUDAD/
info:eu-repo/grantAgreement/MCIU//PRE2019-089450//Researcher Formation Fellowship/
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Agradecimientos:
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This 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 ...[+]
This 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).
Alejandro Roldan-Valcarce thanks the Spanish Ministry of Science, Innovation,
and Universities for funding his investigations at the University of Cantabria through a Researcher
Formation Fellowship, grant number PRE2019-089450.
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Tipo:
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Artículo
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