E3S Web Conf.
Volume 211, 2020The 1st JESSD Symposium: International Symposium of Earth, Energy, Environmental Science and Sustainable Development 2020
|Number of page(s)||9|
|Published online||25 November 2020|
Pesticide use data for emission modelling: A case study on the Upper Citarum River Basin
Department of Environmental Engineering, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jl. Ganesha no. 10, Bandung 40132, Indonesia
2 Institute for Science in Society, Faculty of Science, Radboud University, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
3 Deltares, P.O. Box 177, 2600 MH Delft, The Netherlands
4 Institute for Water and Wetland Research, Department of Environmental Science, Faculty of Science, Radboud University, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
5 Department of Environmental Sciences, Faculty of Science, Open University, 6419 AT Heerlen, The Netherlands
* Corresponding author: firstname.lastname@example.org
Information on pesticide use types and pesticide use are needed to estimate pesticide emissions in the surface water. Unfortunately, these data is either limited or even non-exist in most lowand middleincome country like Indonesia. This problem is considered a missing link in the water monitoring system, especially in the emission estimation model approach. To overcome that problem, a questionnaire survey about pesticide use by the farmer was conducted in the Upper Citarum River Basin (UCRB) agriculture area. The survey result showed that 31 pesticides were used by farmers in UCRB, with pesticide type of insecticide (58%) as the most used by the farmers. Overall, Profenofos and Mancozeb had the widest used in UCRB. For rice crops, as the broadest agriculture area in UCRB, Carbamates and Pyrethroid-based insecticides such as Carbofuran and Deltamethrin were the most frequently mentioned pesticides of the farmers. The variation in application frequency influenced the amount of pesticide use for each crop. In general, the frequency of pesticide application for vegetables was higher (from 7-10 times/ month) than rice and tubers (≤ 1 time/ month).
© The Authors, published by EDP Sciences, 2020
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