Effects of land use on the spatial distribution of trace metals and volatile organic compounds in urban groundwater, Seoul, Korea
- Authors
- Park, SS; Kim, SO; Yun, ST; Chae, GT; Yu, SY; Kim, S; Kim, Y
- Issue Date
- 2005-10
- Publisher
- SPRINGER
- Citation
- ENVIRONMENTAL GEOLOGY, v.48, no.8, pp.1116 - 1131
- Abstract
- To investigate the urban groundwater contamination by eight trace metals and 69 volatile organic compounds (VOCs) in relation to land use in Seoul, a total of 57 groundwater samples collected from wells were examined using a non-parametric statistical analysis. Land use was classified into five categories: less-developed, residential, agricultural, traffic, and industrial. A comparison of analyzed data with US EPA and Korean standards for drinking water showed that some metals and VOCs exceeded the standards in a few localities, such as Fe (N=5), Mn (N=6), Cu (N=1), TCE (N=6), PCE (N=8), 1,2-DCA (N=1), and 1,2-dichloropropane (N=1). Among the 69 investigated VOCs, 19 compounds such as some gasoline-related compounds (e.g., toluene) and chlorinated compounds (e.g., chloroform, PCE, TCE) were detected in groundwater. Non-parametric statistical analysis showed that the concentrations of most trace metals (Fe, Mn, As, Cr, Pb, Cd) and some VOCs (especially, TCE, PCE, chloroform; toluene, carbon tetrachloride, bromodichloromethane, CFC113) are significantly higher in the industrial, residential, and traffic areas (P < 0.05), indicating that anthropogenic contamination of urban groundwater by those chemicals is growing. Those chemicals can be used as effective indicators of anthropogenic contamination of groundwater in urban areas and therefore a special attention is warranted for a safe water supply in those areas. The results of this study suggest that urban groundwater quality in urban areas is closely related with land use.
- Keywords
- QUALITY; CONTAMINATION; RECHARGE; AREAS; WATER; QUALITY; CONTAMINATION; RECHARGE; AREAS; WATER; urban groundwater; Seoul; trace metals; volatile organic compounds; non-parametric statistical analysis; land use
- ISSN
- 0943-0105
- URI
- https://pubs.kist.re.kr/handle/201004/136084
- DOI
- 10.1007/s00254-005-0053-8
- Appears in Collections:
- KIST Article > 2005
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