IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v297y2015icp213-231.html
   My bibliography  Save this article

Integration of a benthic sediment diagenesis module into the two dimensional hydrodynamic and water quality model – CE-QUAL-W2

Author

Listed:
  • Zhang, Zhonglong
  • Sun, Bowen
  • Johnson, Billy E.

Abstract

Current CE-QUAL-W2 mainly simulates hydrodynamics and eutrophication processes in the water column. The benthic sediment processes and sediment–water interactions have been neglected or very much simplified using zero-order and first-order rates. In this study a benthic sediment diagenesis module was developed and integrated into CE-QUAL-W2. Enhanced CE-QUAL-W2 was capable of simulating the dynamic releases of ammonium, nitrate, phosphorus, dissolved silica and dissolved methane from the sediment to the overlying water, as well as benthic sediment oxygen demand. The oxidation of sulfides is included for salt water sediments. The ability of CE-QUAL-W2 model to correctly predict sediment–water nutrient fluxes and sediment oxygen demand was evaluated against SedFlux and CE-QUAL-ICM models through a series of case studies. These case studies were chosen for representing various sedimentation and environmental conditions. The simulated sediment–water nutrient fluxes and sediment oxygen demand over time were generally in good agreement with these two model results for all data sets. The effect of benthic sediment diffusive thickness, particle mixing coefficients on nutrient releases from sediments and sediment oxygen demand were examined. Enhanced CE-QUAL-W2 model was also applied to the Lower Minnesota River for further evaluating its performance. This paper presents the sediment diagenesis module development, validation tests and application of the enhanced CE-QUAL-W2 model.

Suggested Citation

  • Zhang, Zhonglong & Sun, Bowen & Johnson, Billy E., 2015. "Integration of a benthic sediment diagenesis module into the two dimensional hydrodynamic and water quality model – CE-QUAL-W2," Ecological Modelling, Elsevier, vol. 297(C), pages 213-231.
    • Handle: RePEc:eee:ecomod:v:297:y:2015:i:c:p:213-231
    DOI: 10.1016/j.ecolmodel.2014.10.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014004943
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.10.025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.
    2. Sangmok Lee & Donghyun Lee, 2018. "Improved Prediction of Harmful Algal Blooms in Four Major South Korea’s Rivers Using Deep Learning Models," IJERPH, MDPI, vol. 15(7), pages 1-15, June.
    3. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    4. Rhomad, Hanane & Khalil, Karima & Neves, Ramiro & Bougadir, Blaid & Elkalay, Khalid, 2021. "Modeling investigation of the nutrients and phytoplankton dynamics in the Moroccan Atlantic coast: A case study of Agadir coast," Ecological Modelling, Elsevier, vol. 447(C).

    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:eee:ecomod:v:297:y:2015:i:c:p:213-231. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.