IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i10p972-d78860.html
   My bibliography  Save this article

Nitrogen and Sediment Capture of a Floating Treatment Wetland on an Urban Stormwater Retention Pond—The Case of the Rain Project

Author

Listed:
  • Brendan McAndrew

    (Department of Environmental Science and Policy, George Mason University, Fairfax, VA 22030, USA)

  • Changwoo Ahn

    (Department of Environmental Science and Policy, George Mason University, Fairfax, VA 22030, USA)

  • Joanna Spooner

    (Department of Environmental Science and Policy, George Mason University, Fairfax, VA 22030, USA)

Abstract

Nitrogen is widely recognized as a chronic urban stormwater pollutant. In the United States, wet retention ponds have become widely used to treat urban runoff for quantity and quality. While wet ponds typically function well for the removal of sediments, nitrogen removal, performance can be inconsistent due to poor design and/or lack of maintenance. Retrofitting ponds to improve their nitrogen capture performance, however, is often expensive. By hydroponically growing macrophytes on wet ponds, floating treatment wetlands (FTW) may provide a cheap, sustainable means of improving nitrogen removal efficiency of aging stormwater ponds. Few studies have been performed on the effectiveness real-world stormwater systems, however. In this study, we investigated the nitrogen and sediment capture performance of a 50 m 2 floating treatment wetland deployed for 137 days on a stormwater wet pond located within an urban university campus near Washington, D.C. A total of 2684 g of biomass was produced, 3100 g of sediment captured, and 191 g of nitrogen removed from the pond. Although biomass production was relatively low (53 g/m 2 ), we found that nitrogen uptake by the plants (0.009 g/m 2 /day) was comparable to contemporary FTW studies.

Suggested Citation

  • Brendan McAndrew & Changwoo Ahn & Joanna Spooner, 2016. "Nitrogen and Sediment Capture of a Floating Treatment Wetland on an Urban Stormwater Retention Pond—The Case of the Rain Project," Sustainability, MDPI, vol. 8(10), pages 1-14, September.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:10:p:972-:d:78860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/10/972/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/10/972/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marimon, Zachary A. & Xuan, Zhemin & Chang, Ni-Bin, 2013. "System dynamics modeling with sensitivity analysis for floating treatment wetlands in a stormwater wet pond," Ecological Modelling, Elsevier, vol. 267(C), pages 66-79.
    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. Changwoo Ahn & Stephanie Schmidt, 2019. "Designing Wetlands as an Essential Infrastructural Element for Urban Development in the era of Climate Change," Sustainability, MDPI, vol. 11(7), pages 1-10, March.
    2. Ana Isabel Abellán García & Juan C. Santamarta, 2022. "Scientific Evidence behind the Ecosystem Services Provided by Sustainable Urban Drainage Systems," Land, MDPI, vol. 11(7), pages 1-32, July.
    3. Yan Wang & Xueping Gao & Bowen Sun & Yuan Liu, 2022. "Developing a 3D Hydrodynamic and Water Quality Model for Floating Treatment Wetlands to Study the Flow Structure and Nutrient Removal Performance of Different Configurations," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    4. Zhaozhe Chen & Ozeas S. Costa, 2023. "Nutrient Sequestration by Two Aquatic Macrophytes on Artificial Floating Islands in a Constructed Wetland," Sustainability, MDPI, vol. 15(8), pages 1-15, April.

    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. Chang, Ni-Bin & Lu, Jia-Wei & Chui, Ting Fong May & Hartshorn, Nicholas, 2018. "Global policy analysis of low impact development for stormwater management in urban regions," Land Use Policy, Elsevier, vol. 70(C), pages 368-383.
    2. Akopov, Andranik S. & Beklaryan, Levon A. & Saghatelyan, Armen K., 2017. "Agent-based modelling for ecological economics: A case study of the Republic of Armenia," Ecological Modelling, Elsevier, vol. 346(C), pages 99-118.
    3. Yan Wang & Xueping Gao & Bowen Sun & Yuan Liu, 2022. "Developing a 3D Hydrodynamic and Water Quality Model for Floating Treatment Wetlands to Study the Flow Structure and Nutrient Removal Performance of Different Configurations," Sustainability, MDPI, vol. 14(12), pages 1-12, 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:8:y:2016:i:10:p:972-:d:78860. 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.