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    Impacts of Meteorological Variations on Acid Rain Abatement Decisions 

    Source: Journal of Environmental Engineering:;1990:;Volume ( 116 ):;issue: 006
    Author(s): K. Ponnambalam; E. A. McBean; T. E. Unny
    Publisher: American Society of Civil Engineers
    Abstract: A linear programming (LP) based simulation model is used to examine the effects of variable meteorology on optimal controls for acid‐rain abatement in eastern North America. The LP model minimizes the total cost of pollution ...
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    Maximum Likelihood Method for Parameter Estimation in Linear Model with below-Detection Data 

    Source: Journal of Environmental Engineering:;1995:;Volume ( 121 ):;issue: 011
    Author(s): M. Sharma; E. A. McBean; N. Thomson
    Publisher: American Society of Civil Engineers
    Abstract: The maximum likelihood (ML) method for regression analyses of left-censored data is improved for general acceptance by considering the censored observations to be doubly censored. The existence of a lower bound (i.e., the ...
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    Deterministic Linear Programming Model for Acid Rain Abatement 

    Source: Journal of Environmental Engineering:;1985:;Volume ( 111 ):;issue: 002
    Author(s): J. H. Ellis; E. A. McBean; G. J. Farquhar
    Publisher: American Society of Civil Engineers
    Abstract: A deterministic Linear Programming Model is presented for development of acid rain abatement strategies in eastern North America. Pollutant
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    Sample Size Needs for Characterizing Pollutant Concentrations in Highway Runoff 

    Source: Journal of Environmental Engineering:;1997:;Volume ( 123 ):;issue: 010
    Author(s): N. R. Thomson; E. A. McBean; W. Snodgrass; I. Mostrenko
    Publisher: American Society of Civil Engineers
    Abstract: The number of samples necessary for characterization of highway storm-water runoff concentrations is examined. Using extensive field monitoring results available from Minnesota, the statistical modeling results demonstrate ...
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