IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i8p1703-d162860.html
   My bibliography  Save this article

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

Author

Listed:
  • Cristina Allende-Prieto

    (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)

  • Beatriz I. Méndez-Fernández

    (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)

  • Luis A. Sañudo-Fontaneda

    (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
    Centre for Agroecology, Water and Resilience (CAWR), Coventry University, Ryton Gardens, Wolston Lane, Coventry CV8 3LG, UK)

  • Susanne M. Charlesworth

    (Centre for Agroecology, Water and Resilience (CAWR), Coventry University, Ryton Gardens, Wolston Lane, Coventry CV8 3LG, UK)

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conventional drainage systems, increasing the number of combined sewer overflow events and making treatment plants outdated.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

Suggested Citation

  • Cristina Allende-Prieto & Beatriz I. Méndez-Fernández & Luis A. Sañudo-Fontaneda & Susanne M. Charlesworth, 2018. "Development of a Geospatial Data-Based Methodology for Stormwater Management in Urban Areas Using Freely-Available Software," IJERPH, MDPI, vol. 15(8), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1703-:d:162860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/8/1703/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/8/1703/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Jato-Espino & Susanne M. Charlesworth & Joseba R. Bayon & Frank Warwick, 2016. "Rainfall–Runoff Simulations to Assess the Potential of SuDS for Mitigating Flooding in Highly Urbanized Catchments," IJERPH, MDPI, vol. 13(1), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cristina Manchado & Alejandro Roldán-Valcarce & Daniel Jato-Espino & Ignacio Andrés-Doménech, 2021. "ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments," IJERPH, MDPI, vol. 18(16), pages 1-17, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Sulis & Martina Altana & Gianfranco Sanna, 2024. "Assessing Reliability, Resilience and Vulnerability of Water Supply from SuDS," Sustainability, MDPI, vol. 16(13), pages 1-17, June.
    2. Cristina Manchado & Alejandro Roldán-Valcarce & Daniel Jato-Espino & Ignacio Andrés-Doménech, 2021. "ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments," IJERPH, MDPI, vol. 18(16), pages 1-17, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1703-:d:162860. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.