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Estimating Concentrations of Pesticide Residue in Soil from Pepper Plot Using the GLEAMS Model

  • Jin, So-Hyun (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Yoon, Kwang-Sik (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Shim, Jae-Han (Natural Products Chemistry Laboratory, College of Agriculture and Life Science, Chonnam National University) ;
  • Choi, Woo-Jung (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Choi, Dong-Ho (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Kim, Bo-Mi (Natural Products Chemistry Laboratory, College of Agriculture and Life Science, Chonnam National University) ;
  • Lim, Sang-Sun (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Jung, Jae-Woon (Yeongsan River Environment Research Center) ;
  • Lee, Kyoung-Sook (Rural & Bio-Systems Engineering, College of Agriculture and Life Science, Chonnam National University) ;
  • Hong, Su-Myeong (Chemical Safety Division, National Academy of Agricultural Sciences)
  • Received : 2011.11.22
  • Accepted : 2011.12.23
  • Published : 2011.12.31

Abstract

BACKGROUND: Mathematical model such as GLEAMS have been developed and successfully applied to upland fields to estimate the level of pesticide residues in soil. But, the GLEAMS model rarely applied to the Korean conditions. METHODS AND RESULTS: To evaluate pesticide transport in soil residue using the GLEAMS model from pepper plot, Alachlor, Endosulfan, Cypermethrin and Fenvalerate were applied for standard and double rate. Soil sampling was conducted and decaying patterns of pesticides were investigated. Observed climate data such as temperature and irrigation amount were used for hydrology simulation. The observed pesticide residue data of 2008 were used for parameter calibration, and validation of GLEAMS model was conducted with observed data of 2009. After calibration, the $K_{oc}$ (Organic carbon distribution coefficient) and WSHFRC (Washoff fraction) parameters were identified as key parameters. The simulated concentrations of the pesticides except Fenvalerate were sensitive to $K_{oc}$ parameter. Overall, soil residue concentrations of Alachlor, Cypermethrin and Fenvalerate were fairly simulated compared to those of Endosulfan. The applicability of the GLEAMS model was also confirmed by statistical analysis. CONCLUSION(s): GLEAMS model was eligible for evaluation of pesticide soil residue for Alachlor, Cypermethrin and Fenvalerate.

Keywords

References

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