• Building a Classification Scheme of Soil and Groundwater Contamination Sources in Korea: 2. Construction of Classification System and Applications of Attribute Data
  • An, Jeong-Yi;Shin, Kyung-Hee;Hwang, Sang-Il;
  • Integrated Environmental Research Group, Korea Environment Institute;Integrated Environmental Research Group, Korea Environment Institute;Integrated Environmental Research Group, Korea Environment Institute;
  • 토양.지하수오염원 분류체계 구축방안: 2. 분류체계 구축 및 속성자료 활용방안
  • 안정이;신경희;황상일;
  • 한국환경정책.평가연구원 통합환경연구본부;한국환경정책.평가연구원 통합환경연구본부;한국환경정책.평가연구원 통합환경연구본부;
Abstract
Constructing the national inventory that can be used as a tool to identify and assess existing or potential contamination is necessary for efficiently managing the soil and groundwater contamination. In order to start this construction, the first step is how we define and classify potential contamination sources of soil and groundwater. After selecting the basic classification model of contamination sources from developed countries, we suggested the classification and list of the potential contamination sources of soil and groundwater which are appropriate for specific conditions of South Korea. In addition, we investigated several databases to confirm the existence of available data sources and then examined established attribute data through chemical accident response information system (CARIS) and water information system (WIS) in National Institute of Environmental Research and mine geographic information system (MGIS) in Mine Reclamation Corporation. All sorts of attribute data in the existing databases can be utilized as significant assessment factors for determining the management priority of potential contamination sources in the future. Therefore, it is required the expanded investigation of additional database sources and the continual modification so that the classification system of potential contamination sources can be improved.

Keywords: Soil and groundwater contamination;Potential contamination source;Inventory;Classification system;Attribute data;

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This Article

  • 2010; 15(6): 122-127

    Published on Dec 31, 2010

  • Received on Dec 10, 2010
  • Accepted on Dec 15, 2010