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

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      Abstract

      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conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated.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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            Author and article information

            Affiliations
            [1 ]Department of Mining Exploitation and Prospecting, University of Oviedo Stormwater Engineering Research Team (UOStormwater), Polytechnic School of Mieres, University of Oviedo, Calle Gonzalo Gutiérrez Quirós s/n, 33600 Asturias, Spain
            [2 ]Department of Construction and Manufacturing Engineering, University of Oviedo Stormwater Engineering Research Team (UOStormwater), Polytechnic School of Mieres, University of Oviedo, Calle Gonzalo Gutiérrez Quirós s/n, 33600 Asturias, Spain; uo139249@ 123456uniovi.es (B.I.M.-F.); sanudoluis@ 123456uniovi.es (L.A.S.-F.)
            [3 ]Centre for Agroecology, Water and Resilience (CAWR), Coventry University, Ryton Gardens, Wolston Lane, Coventry CV8 3LG, UK; s.charlesworth@ 123456coventry.ac.uk
            Author notes
            [* ]Correspondence: callende@ 123456uniovi.es ; Tel.: +34-(98)-545-8161
            Journal
            Int J Environ Res Public Health
            Int J Environ Res Public Health
            ijerph
            International Journal of Environmental Research and Public Health
            MDPI
            1661-7827
            1660-4601
            09 August 2018
            August 2018
            : 15
            : 8
            30096916
            6121243
            10.3390/ijerph15081703
            ijerph-15-01703
            © 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/).

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            Article

            Public health

            stormwater bmp, suds, sdi, osgeo, lidar data, lid, land-use planning, giswater, green infrastructure, gis

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