Document Detail


Prediction of groundwater contamination with multivariate regression and probabilistic capture zones.
MedLine Citation:
PMID:  21043265     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Probabilistic capture zones are combined with a regression model and used as buffer zones around wells for Tobit regression analysis to predict contaminant concentration of groundwater in an agricultural region. A backward transport equation, which is a mathematical model based on the physical processes of solute transport, is used to delineate probabilistic capture zones. The probabilistic capture zone defines the area where contaminant discharge can have a direct influence, with pertinent probability, on the quality of groundwater pumped from a well. Tobit regression analysis is used to find the relationship between independent regression variables and a dependent variable, which is contaminant concentration in this study. The capture zone and the regression are combined into a model, and its applicability for prediction of nitrate concentration is tested in a small agricultural basin in Chuncheon, Korea, which is occupied mainly by vegetation fields, orchards, and small barns. Three cases of Model 1, Model 2, and Model 3 are compared in which buffer zones are circles, capture zones with probability over 0.1, and capture zones divided into sections with different probabilities, respectively. The resulting regression model describes nitrate concentration in terms of selected independent variables. When the concentrations are calculated with the model, the best fit with the observed concentrations was in Model 3. This result supports the applicability of the method proposed in this study to prediction of contaminant concentration of groundwater.
Authors:
Jeong-Won Lim; Gwang-Ok Bae; Dugin Kaown; Kang-Kun Lee
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of environmental quality     Volume:  39     ISSN:  0047-2425     ISO Abbreviation:  J. Environ. Qual.     Publication Date:    2010 Sep-Oct
Date Detail:
Created Date:  2010-11-03     Completed Date:  2010-11-26     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0330666     Medline TA:  J Environ Qual     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1594-603     Citation Subset:  IM    
Affiliation:
Seoul National University, Korea.
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MeSH Terms
Descriptor/Qualifier:
Multivariate Analysis
Probability
Water Pollutants / analysis*
Chemical
Reg. No./Substance:
0/Water Pollutants

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