Current-Use Pesticides in the River Waters of Eastern China: Occurrence and Human Health Risk Assessment

Chen, Chong; Zou, Wenbing; Cui, Guolu; Han, Changxu; Ma, Limin

doi:10.1007/s12403-020-00362-9

Cited by 9 publications

(2 citation statements)

References 29 publications

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“… a The inhalation unit risk of dichlorvos was 0.083 (µg/m 3 ) −1 ( US EPA, 1989 ), and the dermal cancer slope factor was 3.4483 ((kg·day)/mg) ( Chen et al., 2021 ). …”

Section: Resultsmentioning

confidence: 99%

Health risks of pest control and disinfection workers after the COVID-19 outbreak in South Korea

Choi

Huh

Kim

et al. 2024

Journal of Environmental Sciences

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“… a The inhalation unit risk of dichlorvos was 0.083 (µg/m 3 ) −1 ( US EPA, 1989 ), and the dermal cancer slope factor was 3.4483 ((kg·day)/mg) ( Chen et al., 2021 ). …”

Section: Resultsmentioning

confidence: 99%

Health risks of pest control and disinfection workers after the COVID-19 outbreak in South Korea

Choi

Huh

Kim

et al. 2024

Journal of Environmental Sciences

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“…), including areas where higher concentrations are plausible. In these areas with higher levels of pesticides, the contamination should be taken into consideration for potentially harmful effects and may require a comprehensive spatial analysis that may help to improve our environmental monitoring and land management (Chen et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Environmental factors influencing DDT–DDE spatial distribution in an agricultural drainage system determined by using machine learning techniques

Melendez-Pastor

Lopez-Granado

Pedreño

et al. 2023

Environ Geochem Health

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The presence and persistence of pesticides in the environment are environmental problems of great concern due to the health implications for humans and wildlife. The persistence of DDT–DDE in a Mediterranean coastal plain where pesticides were widely used and were banned decades ago is the aim of this study. Different sources of analytical information from water and soil analysis and topography and geographical variables were combined with the purpose of analyzing which environmental factors are more likely to condition the spatial distribution of DDT–DDE in the drainage watercourses of the area. An approach combining machine learning techniques, such as Random Forest and Mutual Information (MI), for classifying DDT–DDE concentration levels based on other environmental predictive variables was applied. In addition, classification procedure was iteratively performed with different training/validation partitions in order to extract the most informative parameters denoted by the highest MI scores and larger accuracy assessment metrics. Distance to drain canals, soil electrical conductivity, and soil sand texture fraction were the most informative environmental variables for predicting DDT–DDE water concentration clusters.

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Natural dynamics and residues of pymetrozine for typical rice-growing areas of China

Tudi

Atabila

Ruan

et al. 2022

Ecotoxicology and Environmental Safety

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Current-Use Pesticides in the River Waters of Eastern China: Occurrence and Human Health Risk Assessment

Cited by 9 publications

References 29 publications

Health risks of pest control and disinfection workers after the COVID-19 outbreak in South Korea

Health risks of pest control and disinfection workers after the COVID-19 outbreak in South Korea

Environmental factors influencing DDT–DDE spatial distribution in an agricultural drainage system determined by using machine learning techniques

Natural dynamics and residues of pymetrozine for typical rice-growing areas of China

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