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Model Development for Estimating Total Arsenic Contents with Chemical Properties and Extractable Heavy Metal Contents in Paddy Soils

논토양의 이화학적 특성 및 침출성 중금속 함량을 이용한 비소의 전함량 예측

  • Lee, Jeong-Mi (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Go, Woo-Ri (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Kunhikrishnan, Anitha (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Yoo, Ji-Hyock (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Kim, Ji-Young (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Kim, Doo-Ho (Chemical Safety Division, National Academy of Agricultural Science, RDA) ;
  • Kim, Won-Il (Chemical Safety Division, National Academy of Agricultural Science, RDA)
  • 이정미 (국립농업과학원 화학물질안전과) ;
  • 고우리 (국립농업과학원 화학물질안전과) ;
  • ;
  • 류지혁 (국립농업과학원 화학물질안전과) ;
  • 김지영 (국립농업과학원 화학물질안전과) ;
  • 김두호 (국립농업과학원 화학물질안전과) ;
  • 김원일 (국립농업과학원 화학물질안전과)
  • Received : 2012.11.01
  • Accepted : 2012.12.07
  • Published : 2012.12.31

Abstract

This study was performed to estimate total contents of arsenic (As) by stepwise multiple-regression analysis using chemical properties and extractable contents of metal in paddy soil adjacent to abandoned mines. The soil was collected from paddies near abandoned mines. Soil pH, electrical conductively (EC), organic mater (OM), available phosphorus ($P_2O_5$), and exchangeable cations (Ca, K, Mg, Na) were measured. Total contents of As and extractable contents of metals were analyzed by ICP-OES. From stepwise analysis, it was showed that the contents of extractable As, available phosphorus, extractable Cu, exchangeable K, exchangeable Na, and organic mater significantly influenced the total contents of As in soil (p<0.001). The multiple linear regression models have been established as Log (Total-As) = 0.741 + 0.716 Log (extractable-As) - 0.734 Log (avail-$P_2O_5$) + 0.334 Log (extractable-Cu) + 0.186 Log (exchangeable-K) - 0.593 Log (exchangeable-Na) + 0.558 Log (OM). The estimated value in total contents of As was significantly correlated with the measured value in soil ($R^2$=0.84196, p<0.0001). This predictive model for estimating total As contents in paddy soil will be properly applied to the numerous datasets which were surveyed with extractable heavy metal contents based on Soil Environmental Conservation Act before 2010.

Keywords

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