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

Cristina Allende-Prieto, Beatriz I.Méndez-Fernández, Luis Sanudo-Fontaneda, Sue Charlesworth

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)
    113 Downloads (Pure)

    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conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated.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.
    Original languageEnglish
    Article number8
    Number of pages11
    JournalInternational Journal of Environmental Research and Public Health
    Volume15
    DOIs
    Publication statusPublished - 9 Aug 2018

    Bibliographical note

    This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

    Keywords

    • GIS; green infrastructure; GISWATER; land-use planning; LID; lidar data; OSGeo; SDI; SuDS; Stormwater BMP

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