Thinh Lam Van, Yadav Ishwar Chandra, Boulange Julien, Thuyet Dang Quoc, Watanabe Hirozumi
United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
College of Environment and Natural Resources, Can Tho University, Can Tho City, Vietnam.
J Pestic Sci. 2019 Aug 20;44(3):148-155. doi: 10.1584/jpestics.D19-007.
The SPEC model (Predicted Environmental Concentrations in agricultural Soils) was developed and improved for the simulation of pesticide runoff. The model was applied to the Sakaecho upland bare soil field (Tokyo, Japan) to predict runoff water, sediment concentration in runoff water, pesticide concentrations in runoff water, and runoff sediment (clothianidin and imidacloprid) under artificial rainfall conditions. The results showed that the simulated time to first runoff agreed very well with the observed data. The simulated cumulative runoff, sediment yield, and imidacloprid concentration in sediment agreed well with the observed data (Nash-Sutcliffe Efficiency (NSE)>0.75). The simulated runoff rate agreed reasonably well with the observed data (NSE >0.5). The predicted clothianidin concentrations in sediment and in runoff water had acceptable agreement with the observed data (NSE >0). The results implied the model's potential to predict runoff water, sediment yield, and pesticide runoff.
SPEC模型（农业土壤中的预测环境浓度）被开发并改进用于模拟农药径流。该模型应用于日本东京酒匂町的旱地裸土田，以预测人工降雨条件下的径流水、径流水的泥沙浓度、径流水的农药浓度以及径流泥沙（噻虫胺和吡虫啉）。结果表明，首次径流的模拟时间与观测数据非常吻合。模拟的累积径流量、产沙量以及泥沙中吡虫啉浓度与观测数据吻合良好（纳什-萨特克利夫效率（NSE）>0.75）。模拟的径流速率与观测数据合理吻合（NSE>0.5）。泥沙和径流水的预测噻虫胺浓度与观测数据有可接受的一致性（NSE>0）。结果表明该模型在预测径流水、产沙量和农药径流方面具有潜力。
