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ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments
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 identi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393597/ https://www.ncbi.nlm.nih.gov/pubmed/34444560 http://dx.doi.org/10.3390/ijerph18168802 |
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author | Manchado, Cristina Roldán-Valcarce, Alejandro Jato-Espino, Daniel Andrés-Doménech, Ignacio |
author_facet | Manchado, Cristina Roldán-Valcarce, Alejandro Jato-Espino, Daniel Andrés-Doménech, Ignacio |
author_sort | Manchado, Cristina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8393597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83935972021-08-28 ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments Manchado, Cristina Roldán-Valcarce, Alejandro Jato-Espino, Daniel Andrés-Doménech, Ignacio Int J Environ Res Public Health Article 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. MDPI 2021-08-20 /pmc/articles/PMC8393597/ /pubmed/34444560 http://dx.doi.org/10.3390/ijerph18168802 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Manchado, Cristina Roldán-Valcarce, Alejandro Jato-Espino, Daniel Andrés-Doménech, Ignacio ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title | ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title_full | ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title_fullStr | ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title_full_unstemmed | ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title_short | ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments |
title_sort | arcdrain: a gis add-in for automated determination of surface runoff in urban catchments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393597/ https://www.ncbi.nlm.nih.gov/pubmed/34444560 http://dx.doi.org/10.3390/ijerph18168802 |
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