• DocumentCode
    519454
  • Title

    Estimating Phosphorous Load from a Large Watershed in the Great Lakes Basin

  • Author

    Weichun Tao ; DeMarchi, C. ; Chansheng He ; Johengen, T.H. ; Stow, C.

  • Author_Institution
    Dept. of Geol. Sci., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    427
  • Lastpage
    430
  • Abstract
    Common ways to quantify watershed nutrient loads include estimating the annual or seasonal loads using simple relations between discharge and load, such as the ratio estimator, and fitting complex nutrient transport models to the observed concentrations. The former approach produces quite uncertain estimates even at low temporal resolution, when based on typically infrequent routine monitoring data. The second approach may produce more reliable estimates, even at high temporal resolution, but requires a lot of computing effort and auxiliary data. The approach explored in this paper uses linear combination of river discharge at the time of estimate and for antecedent periods to estimate daily Total Phosphorous (TP) concentration, yielding high resolution load estimates sufficiently reliable for a variety of applications.
  • Keywords
    geochemistry; hydrological techniques; lakes; oceanographic regions; rivers; water resources; Great Lakes Basin; Saginaw Bay; annual load; complex nutrient transport models; daily Total Phosphorous concentration; phosphorus load estimation; ratio estimator; river discharge; seasonal load; temporal resolution; watershed nutrient loads; Frequency estimation; Geology; Lakes; Monitoring; Pollution measurement; Rivers; State estimation; Water pollution; Water resources; Yield estimation; Great Lakes; Nutrient loads; Phosphorus load estimation; Regression; Saginaw Bay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3972-0
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.54
  • Filename
    5493167