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    Regression Model for Daily Maximum Stream Temperature 

    Source: Journal of Environmental Engineering:;2003:;Volume ( 129 ):;issue: 007
    Author(s): David W. Neumann; Balaji Rajagopalan; Edith A. Zagona
    Publisher: American Society of Civil Engineers
    Abstract: An empirical model is developed to predict daily maximum stream temperatures for the summer period. The model is created using a stepwise linear regression procedure to select significant predictors. The predictive model ...
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    Modeling Uncertainty in an Object-Oriented Reservoir Operations Model 

    Source: Journal of Irrigation and Drainage Engineering:;2006:;Volume ( 132 ):;issue: 002
    Author(s): John C. Carron; Edith A. Zagona; Terrance J. Fulp
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, reservoir management considerations have expanded to include environmental and recreational objectives, many of which are often difficult to quantify. With a larger set of operational objectives comes the ...
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    Statistical Nonparametric Model for Natural Salt Estimation 

    Source: Journal of Environmental Engineering:;2005:;Volume ( 131 ):;issue: 001
    Author(s): James R. Prairie; Balaji Rajagopalan; Terrance J. Fulp; Edith A. Zagona
    Publisher: American Society of Civil Engineers
    Abstract: Many rivers in the Western U.S. suffer from high salinity content due to both natural and human-induced causes. Computer simulation models are often used to estimate future salinity levels and identify mitigation needs. ...
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    Modified K-NN Model for Stochastic Streamflow Simulation 

    Source: Journal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 004
    Author(s): James R. Prairie; Balaji Rajagopalan; Terry J. Fulp; Edith A. Zagona
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a lag-1 modified K-nearest neighbor (K-NN) approach for stochastic streamflow simulation. The simulation at any time
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