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The application of pesticides and their constant inputs have resulted in the universal contamination of the environments within watersheds, and it is essential to assess the level of contamination. Compared with traditional monitoring methods, models coupled with GIS show more obvious advantages. However, the difficult access to application scenarios and emission data of pesticides hinder the modeling and assessment of the pesticides used in watersheds. We established an emission estimation method of pesticides, which was based on the pl
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