Groundwater Quality Monitoring in the New York Metropolitan Area: Statistical Alternativesby Mohammad Karamouz, (M.ASCE), Polytechnic Univ, Brooklyn, NY, USA,
Evangelos Paleologos, Polytechnic Univ, Brooklyn, NY, USA,
Abstract: The need for development of groundwater monitoring strategies for the New York metropolitan area with emphasis on statistical analysis has been investigated in this study. Statistical methods including Bayesian decision theory and analysis of error and uncertainty in groundwater monitoring and sampling frequency are discussed. It is demonstrated that Bayesian decision theory is of significant value to groundwater monitoring because of its flexibility to incorporate new information and to evaluate the financial implications of decisions.
Subject Headings: Groundwater quality | Urban areas | Bayesian analysis | Statistics | Groundwater pollution | Errors (statistics) | Groundwater | North America | United States | New York
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