IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i1p534-d717624.html
   My bibliography  Save this article

Assessment of Variations in Runoff Due to Landcover Changes Using the SWAT Model in an Urban River in Dublin, Ireland

Author

Listed:
  • Arunima Sarkar Basu

    (School of Architecture, Planning and Environmental Policy, University College Dublin, D04 Dublin, Ireland)

  • Laurence William Gill

    (Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 Dublin, Ireland)

  • Francesco Pilla

    (School of Architecture, Planning and Environmental Policy, University College Dublin, D04 Dublin, Ireland)

  • Bidroha Basu

    (Civil, Structural and Environmental Engineering, Munster Technological University, T12 Cork, Ireland)

Abstract

Investigating the impact of land cover change in hydrological modelling is essential for water resources management. This paper investigates the importance of landcover change in the development of a physically-based hydrological model called SWAT. The study area considered is the Dodder River basin located in southern Dublin, Ireland. Runoff at the basin outlet was simulated using SWAT for 1993–2019 using five landcover maps obtained for 1990, 2000, 2006, 2012 and 2018. Results indicate that, in general, the SWAT model-simulated runoff for a chosen time-period are closer to the real-world observations when the landcover data used for simulation was collated as close to the time-period for which the simulations were performed. For 23 (20) years (from 27 years period) the monthly mean (maximum) runoff for the Dodder River generated by the SWAT model had the least error when the nearby landcover data were used. This study indicates the necessity of considering dynamic and time-varying landcover data during the development of hydrological modelling for runoff simulation. Furthermore, two composite quantile functions were generated by using a kappa distribution for monthly mean runoff and GEV distribution for monthly maximum runoff, based on model simulations obtained using different landcover data corresponding to different time-period. Modelling landcover change patterns and development of projected landcover in the future for river basins in Ireland needs to be integrated with SWAT to simulate future runoff.

Suggested Citation

  • Arunima Sarkar Basu & Laurence William Gill & Francesco Pilla & Bidroha Basu, 2022. "Assessment of Variations in Runoff Due to Landcover Changes Using the SWAT Model in an Urban River in Dublin, Ireland," Sustainability, MDPI, vol. 14(1), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:534-:d:717624
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/534/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/1/534/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Arunima Sarkar Basu & Laurence William Gill & Francesco Pilla & Bidroha Basu, 2022. "Assessment of Climate Change Impact on the Annual Maximum Flood in an Urban River in Dublin, Ireland," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    2. Muhammet Cafer Ulker & Meral Buyukyildiz, 2023. "Evaluation of Runoff Simulation Using the Global BROOK90-R Model for Three Sub-Basins in Türkiye," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    3. Guannan Cui & Xinyu Bai & Pengfei Wang & Haitao Wang & Shiyu Wang & Liming Dong, 2022. "Agricultural Structures Management Based on Nonpoint Source Pollution Control in Typical Fuel Ethanol Raw Material Planting Area," Sustainability, MDPI, vol. 14(13), pages 1-15, June.

    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:jsusta:v:14:y:2022:i:1:p:534-:d:717624. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.