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Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software

Intense urbanisation, combined with climate change impacts such as increased rainfall intensity, is overloading conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated. There is a need for better urban planning, incorporating stormw...

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Autores principales: Allende-Prieto, Cristina, Méndez-Fernández, Beatriz I., Sañudo-Fontaneda, Luis A., Charlesworth, Susanne M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121243/
https://www.ncbi.nlm.nih.gov/pubmed/30096916
http://dx.doi.org/10.3390/ijerph15081703
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author Allende-Prieto, Cristina
Méndez-Fernández, Beatriz I.
Sañudo-Fontaneda, Luis A.
Charlesworth, Susanne M.
author_facet Allende-Prieto, Cristina
Méndez-Fernández, Beatriz I.
Sañudo-Fontaneda, Luis A.
Charlesworth, Susanne M.
author_sort Allende-Prieto, Cristina
collection PubMed
description Intense urbanisation, combined with climate change impacts such as increased rainfall intensity, is overloading conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated. There is a need for better urban planning, incorporating stormwater and flood management design in order to accurately design urban drainage networks. Geographic Information System (GIS) tools are capable of identifying and delineating the runoff flow direction, as well as accurately defining small-sized urban catchments using geospatial data. This study explores the synergies between GIS and stormwater management design tools for better land-use planning, providing a new methodology which has the potential to incorporate hydraulic and hydrological calculations into the design of urban areas. From data collection to final results, only freely available software and open platforms have been used: the U.S. EPA Storm Water Management Model (SWMM), QGis, PostgreSQL, PostGIS, SagaGIS, and GrassGIS. Each of these tools alone cannot provide all the necessary functionalities for large-scale projects, but once linked to GISWATER, a unique, fast, efficient, and accurate work methodology results. A case study of a newly urbanised area in the city of Gijón (northern Spain) has been utilised to apply this new methodology.
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spelling pubmed-61212432018-09-07 Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software Allende-Prieto, Cristina Méndez-Fernández, Beatriz I. Sañudo-Fontaneda, Luis A. Charlesworth, Susanne M. Int J Environ Res Public Health Article Intense urbanisation, combined with climate change impacts such as increased rainfall intensity, is overloading conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated. There is a need for better urban planning, incorporating stormwater and flood management design in order to accurately design urban drainage networks. Geographic Information System (GIS) tools are capable of identifying and delineating the runoff flow direction, as well as accurately defining small-sized urban catchments using geospatial data. This study explores the synergies between GIS and stormwater management design tools for better land-use planning, providing a new methodology which has the potential to incorporate hydraulic and hydrological calculations into the design of urban areas. From data collection to final results, only freely available software and open platforms have been used: the U.S. EPA Storm Water Management Model (SWMM), QGis, PostgreSQL, PostGIS, SagaGIS, and GrassGIS. Each of these tools alone cannot provide all the necessary functionalities for large-scale projects, but once linked to GISWATER, a unique, fast, efficient, and accurate work methodology results. A case study of a newly urbanised area in the city of Gijón (northern Spain) has been utilised to apply this new methodology. MDPI 2018-08-09 2018-08 /pmc/articles/PMC6121243/ /pubmed/30096916 http://dx.doi.org/10.3390/ijerph15081703 Text en © 2018 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Allende-Prieto, Cristina
Méndez-Fernández, Beatriz I.
Sañudo-Fontaneda, Luis A.
Charlesworth, Susanne M.
Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title_full Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title_fullStr Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title_full_unstemmed Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title_short Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software
title_sort development of a geospatial data-based methodology for stormwater management in urban areas using freely-available software
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121243/
https://www.ncbi.nlm.nih.gov/pubmed/30096916
http://dx.doi.org/10.3390/ijerph15081703
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