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http://dx.doi.org/10.7585/kjps.2014.18.4.236

Application of Water Model for the Evaluation of Pesticide Exposure  

Son, Kyeong-Ae (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Kim, Chan-Sub (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Gil, Geun-Hwan (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Kim, Taek-Kyum (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Kwon, Hyeyoung (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Kim, Jinbae (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Im, Geon-Jae (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Ihm, Yang-Bin (Department of Agro-food safety, National Academy of Agricultural Science, Rural Development Administration)
Publication Information
The Korean Journal of Pesticide Science / v.18, no.4, 2014 , pp. 236-246 More about this Journal
Abstract
Pesticide is used to protect the crops, but also become a cause of polluting the environment. Perform a risk assessment using physical and chemical properties, environmental fate and toxicity data in order to determine the pesticide registration. The aquatic model estimates pesticide concentrations in water bodies that result from pesticide applications to rice paddies and apple orchard. The used models are the PRZM, EXAMS and AGRO shell (PA5), Rice Water Quality Model (RICEWQ) and Screening Concentration In GROund Water (SCI-GROW). The residual concentration of water body was estimated using meteorological data, crop calendar and soil series of Korea. The chosen pesticides were butachlor, carbofuran, iprobenfos and tebuconazole. It has shown the potential that the RICEWQ is possible to predict residue level in water of butachlor and iprobenfos, because the maximum value in water monitoring data is lower than the peak concentration of the model, and the minimum value is lower than the average annual concentration of the model. But RICEWQ was insufficient to predict exposure concentrations in ground water. The estimated exposure concentrations of carbofuran in ground water is very higher than in surface water because of its low soil adsorption coefficient. Although tebuconazole were not detected in the water monitoring that means very low concentration, it is possible that the PA5 can be used to predict residue level in water.
Keywords
rice paddies; water model; RICEWQ; SCI-GROW; PA5;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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