Groundwater Quality Monitoring in the New York Metropolitan Area: Statistical Alternatives

by Mohammad Karamouz, (M.ASCE), Polytechnic Univ, Brooklyn, NY, USA,
Evangelos Paleologos, Polytechnic Univ, Brooklyn, NY, USA,

Document Type: Proceeding Paper

Part of: Water Forum '86: World Water Issues in Evolution


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 | Bayesian analysis | Groundwater | Urban areas | Statistics | Errors (statistics) | Groundwater pollution | Financial management | New York | United States

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