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    Eutrophication Model for the Patuxent Estuary: Advances in Predictive Capabilities

    Source: Journal of Environmental Engineering:;2007:;Volume ( 133 ):;issue: 009
    Author:
    Wu-Seng Lung
    ,
    Alex J. Nice
    DOI: 10.1061/(ASCE)0733-9372(2007)133:9(917)
    Publisher: American Society of Civil Engineers
    Abstract: A robust eutrophication and sediment diagenesis model has been developed for the Patuxent Estuary to study the impact of different nutrient loadings on phytoplankton biomass and dissolved oxygen (DO) levels. The modeling approach was to begin with an existing water quality model (CE-QUAL-W2) for the Patuxent Estuary (hereafter referred to as the Estuary). First, formulations for the water column kinetics were completely replaced with routines based on the WASP/EUTRO5 water quality model. Then, a sediment diagenesis component was added to simulate the accumulation and mineralization of organic matter in the sediment, the generation of sediment oxygen demand, and the flux of phosphate and ammonia from the sediment. Loadings from the tributaries for nutrients and flow were based on a combination of watershed modeling and sampling by scientists at the Smithsonian Environmental Research Center. The new model was able to reproduce the ambient water quality data from 1997 to 1999 by adequately simulating the high concentrations of phytoplankton and low DO levels in the Estuary. The model was then used to evaluate the response to various hypothetical nutrient loading scenarios. Model results show that phytoplankton growth in the upper Estuary is much more sensitive to nutrient loading from tributaries than in the lower estuary. Further, model results indicate that DO concentrations in the lower Estuary are largely influenced by levels of nutrients and organic carbon at the mouth of the Estuary.
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      Eutrophication Model for the Patuxent Estuary: Advances in Predictive Capabilities

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    https://yetl.yabesh.ir/yetl1/handle/yetl/67998
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    contributor authorWu-Seng Lung
    contributor authorAlex J. Nice
    date accessioned2017-05-08T21:58:57Z
    date available2017-05-08T21:58:57Z
    date copyrightSeptember 2007
    date issued2007
    identifier other%28asce%290733-9372%282007%29133%3A9%28917%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/67998
    description abstractA robust eutrophication and sediment diagenesis model has been developed for the Patuxent Estuary to study the impact of different nutrient loadings on phytoplankton biomass and dissolved oxygen (DO) levels. The modeling approach was to begin with an existing water quality model (CE-QUAL-W2) for the Patuxent Estuary (hereafter referred to as the Estuary). First, formulations for the water column kinetics were completely replaced with routines based on the WASP/EUTRO5 water quality model. Then, a sediment diagenesis component was added to simulate the accumulation and mineralization of organic matter in the sediment, the generation of sediment oxygen demand, and the flux of phosphate and ammonia from the sediment. Loadings from the tributaries for nutrients and flow were based on a combination of watershed modeling and sampling by scientists at the Smithsonian Environmental Research Center. The new model was able to reproduce the ambient water quality data from 1997 to 1999 by adequately simulating the high concentrations of phytoplankton and low DO levels in the Estuary. The model was then used to evaluate the response to various hypothetical nutrient loading scenarios. Model results show that phytoplankton growth in the upper Estuary is much more sensitive to nutrient loading from tributaries than in the lower estuary. Further, model results indicate that DO concentrations in the lower Estuary are largely influenced by levels of nutrients and organic carbon at the mouth of the Estuary.
    publisherAmerican Society of Civil Engineers
    titleEutrophication Model for the Patuxent Estuary: Advances in Predictive Capabilities
    typeJournal Paper
    journal volume133
    journal issue9
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(2007)133:9(917)
    treeJournal of Environmental Engineering:;2007:;Volume ( 133 ):;issue: 009
    contenttypeFulltext
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