• Improvement of Verification Method for Remedial Works through the Suggestion of Indicative Parameters and Sampling Method
  • Kwon, Ji Cheol;Lee, Goontaek;Kim, Tae Seung;Yoon, Jeong-Ki;Kim, Ji-in;Kim, Yonghoon;Kim, Joonyoung;Choi, Jeongmin;
  • NICEM, Seoul National University;NICEM, Seoul National University;National Institute of Environmental Research;National Institute of Environmental Research;National Institute of Environmental Research;NICEM, Seoul National University;NICEM, Seoul National University;NICEM, Seoul National University;
  • 정화 보조지표와 시료 채취 방법 제안을 통한 토양정화검증 제도 개선 연구
  • 권지철;이군택;김태승;윤정기;김지인;김용훈;김준영;최정민;
  • 서울대학교 농생명과학공동기기원;서울대학교 농생명과학공동기기원;국립환경과학원;국립환경과학원;국립환경과학원;서울대학교 농생명과학공동기기원;서울대학교 농생명과학공동기기원;서울대학교 농생명과학공동기기원;
Abstract
In addition to the measurement of the concentration of soil contaminants, the new idea of indicative parameters was proposed to validate the remedial works through the monitoring for the changes of soil characteristics after applying the clean up technologies. The parameters like CFU (colony forming unit), pH and soil texture were recommended as indicative parameters for land farming. In case of soil washing, water content and the particle size distribution of the sludge were recommended as indicative parameters. The sludge is produced through the particle separation process in soil washing and it is usually treated as a waste. The parameters like water content, organic matter content, CEC (cation exchange capacity) and CFU were recommended as indicative parameters for the low temperature thermal desorption method. Besides the indicative parameter, sampling methods in stock pile and the optimal minimum amount of composite soil sample were proposed. The rates of sampling error in regular grid, zigzag, four bearing, random grid methods were 17.3%, 17.6%, 17.2% and 16.5% respectively. The random grid method showed the minimum sampling error among the 4 kinds of sampling methods although the differences in sampling errors were very little. Therefore the random grid method was recommended as an appropriate sampling method in stock pile. It was not possible to propose a value of optimal minimum amount of composite soil sample based on the real analytical data due to the dynamic variation of $CV_{fund{\cdot}error}$. Instead of this, 355 g of soil was recommended for the optimal minimum amount of composite soil sample under the assumption of ISO 10381-8.

Keywords: Composite sample;Indicative parameter;Soil sampling;Verification;

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