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Estimating Concentrations of Pesticide Residue in Soil from Pepper Plot Using the GLEAMS Model
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 Title & Authors
Estimating Concentrations of Pesticide Residue in Soil from Pepper Plot Using the GLEAMS Model
Jin, So-Hyun; Yoon, Kwang-Sik; Shim, Jae-Han; Choi, Woo-Jung; Choi, Dong-Ho; Kim, Bo-Mi; Lim, Sang-Sun; Jung, Jae-Woon; Lee, Kyoung-Sook; Hong, Su-Myeong;
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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 (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 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.
GLEAMS;Pesticide residue;Simulation;Water quality;
 Cited by
영월한반도습지의 어류군집 특성,한상진;이광열;윤영진;최재윤;김준철;최재석;

한국환경생태학회지, 2014. vol.28. 4, pp.424-431 crossref(new window)
Carsel, R.F., Smith, C.N., Mulkey, L.A., Dean, J.D., Jowise, P., 1984. User's manual for the Pesticide Root Zone Model(PRZM), EPA/600/3-84-109, U.S. EPA, Athens, GA, 30605.

Chung, S.O., Park, K.J., Son, S.H., 2008. Scenario-Based Exposure Risk Assessment of Molinate in a Paddy Plot: (1) Analysis of simulation results, Journal of the Korean society of agricultural engineers . 50(2), 11-16. crossref(new window)

Connolly, R,D., Kennedy, I.R., Silburn, D.M., Simpson, B.W., Freebairn, D.M., 2001. Simulating Endosulfan Transport in Runoff from Cotton Fields in Australia with the GLEAMS Model, Journal of Environmental Quality . 30, 702-713. crossref(new window)

Dann, R.L., Close, M.E., Lee, R., Pang, L., 2006. Impact of Data Quality and Model Complexity on Prediction of Pesticide Leaching, Journal of Environmental Quality . 35, 628-640. crossref(new window)

Greenberg, R.S., 1981. Determination of Fenvalerate, a Synthetic Pyrethroid, in Grapes, Peppers, Apples and Cottonseeds by Gas Liquid Chromatography, Journal of Agriculture Food Chemistry . 29, 856-860. crossref(new window)

Khang, J.G., Suh, Y.T., Shim, J.H., 1986. Persistence of Fenvalerate Treated on Pepper plants and Soil. Rural Development Review, 21, pp. 9-15.

Khang, J.G., Kim, S.K., Kim, J.K., Lee, D.B., Lee, K.S., 1994. Study on fate and decaying pattern of Endosulfan in soil, Korean Society of Agricultural Chemistry and Biotechnology, pp. 155.

Kim, H.S., Chung, S.O., 1995. Application of GELAMS to Predict Pesticide Losses from Field, Journal of Environmental Science, 9, pp. 189-202.

Knisel, W.G., 1993. GLEAMS: Groundwater Loading Effects of Agricultural Management Systems, Version 2.10. Biological, Version 2.10. Biological and Agricultural Engineering Department, University of Georgia, Coastal Plain Experiment Station, Tifton, BAED Publ, 5, pp. 260.

Leonard, R.A., Knisel, W.G., Stil, D.A., 1987. GLEAMS : Groundwater Loading Effects of Agricultural Management Systems, Transsactions of ASAE. 30(5), 1403-1418. crossref(new window)

Malone, R.W., Warner, R.C., Workman, S.R., Byers, M.E., 1999. Modeling Surface and Subsurface Pesticide Transport under Three Field Conditions Using PRZM-3 and GLEAMS, American Society of Agricultural Engineers . 42(5), 1275-1287. crossref(new window)

Malone, R.W., Ahuja, L.R., Ma, L., Wauchope, R.D., Ma, Q., Rojas, K.W., 2004. Application of the Root Zone Water Quality Model (RZWQM) to pesticide fate and transport: an overview, Pesticide Management Science . 60, 205-221. crossref(new window)

NRCS, 1997, Water quality: Pesticides. Available website Nature Resource Conservation Service, 1997. Water quality: Pesticides [Online]. Available HTTP. wq3.html [1997, October 12]

Rekolainen, S., Gouy, Y., Francaviglia, R., Eklo, O.M., Barlund, I., 2000. Simulation of soil water, bromide and pesticide behavior in soil with the GLEAMS model, Agricultural Water Management . 44, 201-224. crossref(new window)

Sadeghi, A., Isensee, A.R., 1994. Spatial distribution of atrazine residues in soil and shallow groundwater: effect of tillage and rainfall timing, Agriculture, Ecosystems and Environment . 48, 67-76. crossref(new window)

Smith, M.C., Bottcher, A.B., Campbell, K.L., Thomas, D.L., 1991. Field Testing and Comparison of the PRZM and GLEAMS Models, American Society of Agricultural Engineers . 34(3), 838-847. crossref(new window)

Truman, C.C., Leonard, R.A., 1991. Effects of Pesticide, Soil, and Rainfall Characteristics on Potential Pesticide Loss by Percolation a GLEAMS Simulation, ASAE, 34(6), 2461-2468. crossref(new window)

Wade, H.F., York., A.C., Morey., A.E., Padmore, J.M., Rudo, K.M., 1998. The impact of pesticide use on groundwater in North Carolina, J. Enciron. Qual . 27(5), 1018-10296

Woodrow, J.E., Seiber, J.N., Dary, C., 2001. Predicting pesticide emissions and downwind concentrations using correlations with estimated vapor pressures, Journal of Agricultural and Food Chemistry . 49(8), 3841-3846. crossref(new window)

Yuan, Y., Mitchell, J.K., Walker, S.E., Hirschi, M.C., Cooke, R.A.C., 2000. Atrazine Losses From Corn Field in the Little Vermilion River Watershed in East Central Illinois, American Society of Agricultural Engineers . 16(1), 51-56.