HR: 1340h
AN: H53A-1211    [Abstracts]
TI: Statistical characterization of contaminated groundwater in the agricultural area by multivariative analysis and kriging
AU: * Kaown, D
EM: dugin1@snu.ac.kr
AF: School of Earth and Environmental Science, Seoul Nation University, Seoul, 151-747 Korea, Republic of
AU: Hyun, Y
EM: yjhyun@snu.ac.kr
AF: School of Earth and Environmental Science, Seoul Nation University, Seoul, 151-747 Korea, Republic of
AU: Lee, K
EM: kklee@snu.ac.kr
AF: School of Earth and Environmental Science, Seoul Nation University, Seoul, 151-747 Korea, Republic of
AB: The characterization of groundwater contamination at a hydrologically complex agricultural site in Youpori, Chooncheon (Korea) was undertaken by analyzing hydro-chemical data of groundwater within a statistical framework. The data show that high and correlated concentrations of Ca, Mg, and NO3 reflected the polluted nature of groundwater at the site. More than 39% of samples showed nitrate concentrations above the human affected value (3mg/L as NO3-N ), while about 25% samples exceeded the maximum acceptable level (10mg/L as NO3-N ) according to the EPA regulation. Multivariate analyses (factor and cluster analyses) were used to identify contaminant pathway, source and geochemical process. The geostatistical method was applied in order to delineate the spatial extent and variation of nitrate contamination. Factor and cluster analyses indicate that hydrochemical data can clearly characterize the non-point contamination over the area by agrochemical fertilizer as well as point-source pollution like manure spreading near barn or pigpen on groundwater. Nitrate-N, the critical species in the study area, was used to delineate the spatial spread of the contaminants using kriging in the study area.
DE: 1831 Groundwater quality
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting