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• W4313531131 endingPage "130716" @default.
• W4313531131 startingPage "130716" @default.
• W4313531131 abstract "Multimedia contamination by neonicotinoid (NEO) residues has attracted global attention. However, data regarding the multimedia polluted status under certain typical cropping scenarios and the associated risks are scarce. Here, the multimedia occurrence, spatiotemporal distribution, driving factors, transport, and ecological risks of NEOs from tropical rice-vegetable rotation fields were characterized. The heavy NEOs resided in multiple media, and imidacloprid and acetamiprid were the prevailing NEOs, with concentration contributions of 65–80%. The pollution levels of the NEOs, rather than their compositions, exhibited significant spatiotemporal heterogeneity and were highly correlated with the collective (agricultural practices and climate conditions) and differential (e.g., media properties) factors identified using an auto linear regression model. Furthermore, the multimedia transport of NEOs was largely similar but non-negligibly different during the rainy and dry seasons. A new multimedia ecological risk assessment revealed that 50.6% sites were at high risk, and the risk hotspots occurred in the central areas and the winter planting period. The risks were largely contributed by imidacloprid and thiamethoxam, indicating that there were non-ignorable ecological risks. Our results highlight the differential pollution patterns (distribution, transport, and driving factors) of the prevailing NEOs under tropical agricultural scenarios, and the fact that special attention should be paid to the risks posed by NEOs." @default.
• W4313531131 created "2023-01-06" @default.
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• W4313531131 date "2023-03-01" @default.
• W4313531131 modified "2023-10-15" @default.
• W4313531131 title "Neonicotinoids in draining micro-watersheds dominated by rice-vegetable rotations in tropical China: Multimedia occurrence, influencing factors, transport, and associated ecological risks" @default.
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• W4313531131 doi "https://doi.org/10.1016/j.jhazmat.2022.130716" @default.
• W4313531131 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36610339" @default.
• W4313531131 hasPublicationYear "2023" @default.
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