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Hydrodynamic Model of the Lower Hudson River Estuarine System and its Application for Water Quality Management

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  • Andrei Novikov
  • Amvrossios Bagtzoglou

Abstract

In this paper a hydrodynamic model and associated post-processing tools for the Lower Hudson River (LHR) are presented. The model computes the two-dimensional (2D), depth-averaged Eulerian time-dependent velocity field in response to various external signals. The paper documents the mathematical background of the model, describes modeling logistics and provides the comparison of model results with observed data. As an example of the potential application, the scenario of managing sewage releases from two New York City water pollution treatment plants was investigated using this numerical model. The study was undertaken as part of research on the chaotic nature of the LHR estuarine system and pollutant dispersion characteristics. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Andrei Novikov & Amvrossios Bagtzoglou, 2006. "Hydrodynamic Model of the Lower Hudson River Estuarine System and its Application for Water Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(2), pages 257-276, April.
  • Handle: RePEc:spr:waterr:v:20:y:2006:i:2:p:257-276
    DOI: 10.1007/s11269-006-0320-9
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    References listed on IDEAS

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    1. Angelos Protopapas, 1999. "Combined Sewer Overflow Abatement: The East River Project," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(2), pages 133-151, April.
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    Cited by:

    1. A. Ercan & B. Younis, 2009. "Prediction of Bank Erosion in a Reach of the Sacramento River and its Mitigation with Groynes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3121-3147, December.
    2. Dong, Mingru & Li, Haibin & Yin, Rongrong & Qin, Yuhua & Hu, Yongtao, 2021. "Scalable asynchronous localization algorithm with mobility prediction for underwater wireless sensor networks," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

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