Abstract
Two basic requirements, low bias and high precision, are necessary for generating reliable estimates for the load from point and nonpoint sources of pollution. Biases and low precision can be the result of using a bad sampling design and/or inadequate method of estimation. The effects of biases can be reduced at the design stage prior to the data collection or at the data anlysis stage. This paper discusses the statistical issues involved in generating adequate load estimations using recently published point source discharge data from the Niagara River to illustrate these issues.
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References
Cochran, W. G. and Cox, G. M.: 1975, ‘Experimental Design’. 2nd ed. New York: Wiley.
McMahon, J. C.: 1987, ‘Comparison of 1981–82 and 1985–86 Toxic Substance Discharges to the Niagara River’. New York State/Department of Environmental Conservation publication.
Niagara River Toxics Committee: 1984, A joint publication of Environment Canada, United States Environmental Protection Agency, Ontario Ministry of the Environment and New York State Department of Environmental Conservation.
Ontario Ministry of the Environment: 1987, ‘Priority Chemical Loadings from Ontario Point Sources Discharging to the Niagara River, 1981 to 1987’, Niagara River Improvement Project (ISBN No. 0-7729-2981-5).
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El-Shaarawi, A.H., Williams, D.J. Status of the Niagara River point source discharge information: Sampling design and estimation of loading. Environ Monit Assess 13, 331–341 (1989). https://doi.org/10.1007/BF00394238
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DOI: https://doi.org/10.1007/BF00394238