부지특성화을 위한 지하수의 수리화학 특성 연구: 주성분 분석을 중심으로

초록

Principal component analysis (PCA) was conducted using hydrochemical data in four testbeds (A to D) built for thedevelopment of site characterization technologies to assess the hydrochemical processes controlling the hydrochemistry ineach site. The PCA results indicated the nitrogen loading to deep bedrock aquifers through permeable fractures in TestbedA, the chemical weathering enhanced with the biodegradation of petroleum hydrocarbons in Testbed B, the reductivedechlorination in Testbed C, and the different hydrochemistry depending on the depth to bedrock in Testbed D, consistentwith the characteristics of each site. In Testbeds B and D, outliers seemed to affect the PCA result probably due to thesmall number of samples, whereas the PCA result was still consistent with site characteristics. This study result indicatesthat the PCA is widely applicable to hydrochemical data for the assessment of major hydrochemical processes incontamination sites, which is useful for site characterization when combined with other site characterization technologies,e.g., geological survey, geophysical investigation, borehole logging. It is suggested that PCA is applied in contaminatedsites to interpret hydrochemical data not only for the distribution of contamination levels but also for the assessment ofmajor hydrochemical processes and contamination sources.

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