Using big data searching and machine learning to predict human health risk probability from pesticide site soils in China

[Display omitted] •The human health risk probability of pesticide sites prediction model was quantified.•The human health risk probability of un-surveyed pesticide sites was predicted.•The spatial distribution characteristics of human health risks from pesticide sites in China were revealed.

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Bibliographic Details
Published inJournal of environmental management Vol. 320; p. 115798
Main Authors Wang, Xin, Yu, Dongsheng, Ma, Lixia, Lu, Xiaosong, Song, Jie, Lei, Mei
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.10.2022
Subjects
Human health risk
Label propagation algorithm
Pesticide site
Risk probability prediction
Semi-supervised learning model
Semi-supervised learning model
Human health risk
Risk probability prediction
Pesticide site
Label propagation algorithm
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Summary:[Display omitted] •The human health risk probability of pesticide sites prediction model was quantified.•The human health risk probability of un-surveyed pesticide sites was predicted.•The spatial distribution characteristics of human health risks from pesticide sites in China were revealed.
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ISSN:0301-4797
1095-8630
DOI:10.1016/j.jenvman.2022.115798