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Residue distribution and risk assessment of pesticides in the farmland soil of Suzhou ecological conservation area |
Received:November 30, 2022 Revised:March 09, 2023 |
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KeyWord:soil;pesticides residue;distribution characteristic;risk assessment |
Author Name | Affiliation | E-mail | HAO Yuyang | College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China Organic Cycling Research Institute(Suzhou) of China Agricultural University, Suzhou 215100, China | | SONG Peng | College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China Organic Cycling Research Institute(Suzhou) of China Agricultural University, Suzhou 215100, China | | XU Yanjun | Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China | | TIAN Guangming | Organic Cycling Research Institute(Suzhou) of China Agricultural University, Suzhou 215100, China College of Environment and Resources, Zhejiang University, Hangzhou 310058, China | | XU Ting | College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China Beijing Key Laboratory of Biodiversity and Organic Farming, China Agricultural University, Beijing 100193, China Organic Cycling Research Institute(Suzhou) of China Agricultural University, Suzhou 215100, China | xuting@cau.edu.cn |
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Abstract: |
To evaluate the pollution status and potential risks of pesticides present in Suzhou Ecological Conservation Area' farmland, a reliable Gas chromatography-mass spectrometer(GC-MS)method was developed for simultaneous analysis of 46 pesticides across 63 sampling sites. A non-metric multidimensional scaling method was used to characterize the spatial-temporal distribution of pesticides. In addition, the risk quotient method was used to quantify the risk assessment of ecosystem exposure to different pesticides. The results revealed that four pesticide categories, including organochlorine, organophosphorus, thiadiazine, and pyrethroid, were detectable in various samples, with an average concentration of 31.8, 56.9, 109.8 μg·kg-1, and 71.9 μg·kg-1, respectively. p' p-DDE was the most widely detected, with a detection rate of 91%~100%. The concentration of buprofezin(1 061.1 μg·kg-1)was the highest among all pesticides detected. Based on the ecological risk assessment, potentially high ecological risks were observed in 27% of the sampling sites. These risks were caused by seven types of pesticides:p' p-DDE, buprofezin, isocarbophos, bifenthrin, cypermethrin, fenvalerate, and deltamethrin. |
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