Identification of Non-Point Groundwater Contamination Sources Using an Extended GA
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Accession number;03A0495292
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| Title;Identification of Non-Point Groundwater Contamination Sources Using an Extended GA |
| Author;
ICHION E
(Ishikawa Agricultural Coll., Ishikawa, Jpn)
HARAMATSU K
(Gifu Univ., Gifu, Jpn)
KAWACHI T
(Kyoto Univ., Kyoto, Jpn)
KITAMURA K
(Ishikawa Agricultural Coll., Ishikawa, Jpn)
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Journal Title;Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering
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Journal Code:S0345A
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ISSN:0387-2335
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VOL.;NO.225;PAGE.413-422(2003)
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| Figure&Table&Reference;FIG.12, TBL.5, REF.9 |
| Pub. Country;Japan |
| Language;English |
| Abstract;A methodology is developed to identify the extent of non-point contamination sources and the fluxes to steady-state groundwater flow, using an extended genetic algorithm (GA). The methodology has two search steps for identification. The first step searches for the center element of non-point contamination sources. The second step searches for the extent of non-point sources and the fluxes, outward extending the contamination area around the center element obtained at the first step. In both steps, the extended GA is employed to asymptotically determine the contamination sources and the fluxes with the object of achieving a good coincidence of observed and computed concentrations at observation wells. To test the capability of the methodology, fictitious contamination in a real groundwater basin is considered. Solute transport simulations reproduce the concentrations observed at the monitoring wells. The search results using the observed concentrations indicate that the methodology developed is capable of identifying the extent of non-point contamination sources and the fluxes. (author abst.) |
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