IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4204-d1080878.html
   My bibliography  Save this article

Assessing Hydrological Performances of Bioretention Cells to Meet the LID Goals

Author

Listed:
  • Yanwei Sun

    (College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

  • Qingyun Li

    (College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

  • Furong Yu

    (College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

  • Mingwei Ma

    (College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

  • Cundong Xu

    (School of Water Conservancy & Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China)

Abstract

BRCs (bioretention cells), one of many low-impact development (LID) practices, are increasingly utilized to lessen the amount of runoff while simultaneously improving the runoff quality. Because the goal of BRCs and LID designs, in general, is to mimic or replicate the pre-development hydrology, it is critical to evaluate the hydrologic and ecologic performances of the BRC facility from the perspective of replicating the pre-development hydrology. The metrics developed in this study were intended to represent the hydrologic regime including the runoff volume control metrics, peak flow frequency exceedance curve, and flow duration curve. We also used a hydrological indicator of T 0.5 , the fraction of a multi-year period in which the flow exceeds the 0.5-year return period storm to represent the performances regarding downstream ecology. The indicators were compared to their pre-development values to determine how closely they reflected and replicated the pre-development state. A long-term stormwater management model (SWMM) model was developed to examine conditions before and after development and water movement in BRCs. When the BRCs facilities areas are 5% of the entire impervious study area, key findings show that: (1) BRCs have significant runoff volume control performances. (2) The peak flow frequency exceedance curve with BRCs could fully match the pre-development scenario for minor rainfall events compared to the 0.1-year storm. Flow duration curves with BRCs showed that, the frequency, magnitude, and duration of small flows that occurred for more than 90% of the total time closely matched those of pre-development hydrology. (3) T 0.5 with BRCs showed significant improvement compared with the value of the area with no BRCs and was close to the pre-development T 0.5 . The findings presented in this study indicated the significant performance of BRCs in improving downstream ecology.

Suggested Citation

  • Yanwei Sun & Qingyun Li & Furong Yu & Mingwei Ma & Cundong Xu, 2023. "Assessing Hydrological Performances of Bioretention Cells to Meet the LID Goals," Sustainability, MDPI, vol. 15(5), pages 1-14, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4204-:d:1080878
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4204/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4204/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oluwatobi Aiyelokun & Quoc Bao Pham & Oluwafunbi Aiyelokun & Anurag Malik & S. Adarsh & Babak Mohammadi & Nguyen Thi Thuy Linh & Mohammad Zakwan, 2021. "Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practice," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1557-1588, November.
    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. Ndivhuwo Ramovha & Martha Chadyiwa & Freeman Ntuli & Thandiwe Sithole, 2024. "The Potential of Stormwater Management Strategies and Artificial Intelligence Modeling Tools to Improve Water Quality: A Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3527-3560, 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.

      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:15:y:2023:i:5:p:4204-:d:1080878. 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.