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    Watershed-Scale Impacts of Nitrogen from On-Site Wastewater Systems: Parameter Sensitivity and Model Calibration

    Source: Journal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 009
    Author:
    Mengistu Geza
    ,
    Kyle E. Murray
    ,
    John E. McCray
    DOI: 10.1061/(ASCE)EE.1943-7870.0000232
    Publisher: American Society of Civil Engineers
    Abstract: A numerical watershed model was used to evaluate the potential influence of various point and nonpoint sources including on-site wastewater systems (OWS) on stream nitrate concentration in Turkey Creek Watershed, Colorado. A watershed analysis risk management framework model was used for this study, and was calibrated to observed stream nitrate concentrations using an automatic calibration tool. Parameter sensitivity analysis was done to select critical parameters for calibration and to reduce uncertainty in the simulated results. Sensitivity analysis of nitrate transport and transformation parameters showed that stream nitrate concentration is highly sensitive to cation exchange capacity, nitrification rate, base saturation of ammonium, initial concentration of ammonium in the soil, and some of the crop growth related parameters. The calibrated model was used to evaluate scenarios related to OWS including the impacts of population growth and new development and impacts of conversion of OWS to conventional sewers. The results showed that there would be a significant increase in stream nitrate concentration with increasing population. Conversion of OWS to sewers increased stream nitrate concentration but decreased nitrate concentration in the bottom soil layer indicating that OWS are beneficial with respect to stream nitrate concentration but may increase nitrate concentrations in groundwater.
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      Watershed-Scale Impacts of Nitrogen from On-Site Wastewater Systems: Parameter Sensitivity and Model Calibration

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/59641
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    • Journal of Environmental Engineering

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    contributor authorMengistu Geza
    contributor authorKyle E. Murray
    contributor authorJohn E. McCray
    date accessioned2017-05-08T21:41:41Z
    date available2017-05-08T21:41:41Z
    date copyrightSeptember 2010
    date issued2010
    identifier other%28asce%29ee%2E1943-7870%2E0000241.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59641
    description abstractA numerical watershed model was used to evaluate the potential influence of various point and nonpoint sources including on-site wastewater systems (OWS) on stream nitrate concentration in Turkey Creek Watershed, Colorado. A watershed analysis risk management framework model was used for this study, and was calibrated to observed stream nitrate concentrations using an automatic calibration tool. Parameter sensitivity analysis was done to select critical parameters for calibration and to reduce uncertainty in the simulated results. Sensitivity analysis of nitrate transport and transformation parameters showed that stream nitrate concentration is highly sensitive to cation exchange capacity, nitrification rate, base saturation of ammonium, initial concentration of ammonium in the soil, and some of the crop growth related parameters. The calibrated model was used to evaluate scenarios related to OWS including the impacts of population growth and new development and impacts of conversion of OWS to conventional sewers. The results showed that there would be a significant increase in stream nitrate concentration with increasing population. Conversion of OWS to sewers increased stream nitrate concentration but decreased nitrate concentration in the bottom soil layer indicating that OWS are beneficial with respect to stream nitrate concentration but may increase nitrate concentrations in groundwater.
    publisherAmerican Society of Civil Engineers
    titleWatershed-Scale Impacts of Nitrogen from On-Site Wastewater Systems: Parameter Sensitivity and Model Calibration
    typeJournal Paper
    journal volume136
    journal issue9
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0000232
    treeJournal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 009
    contenttypeFulltext
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