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Cong Men

Showing results (21-30 of 42) with videos related to

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Marine Pollution Bulletin|June 9, 2016
Spatial distribution and pollution evaluation of heavy metals in Yangtze estuary sedimentRuimin Liu, Cong Men, Yongyan Liu, et al.
Marine Pollution Bulletin|September 17, 2016
Bioavailability and risk assessment of arsenic in surface sediments of the Yangtze River estuaryHaotian Wang, Ruimin Liu, Qingrui Wang, et al.
Marine Pollution Bulletin|July 22, 2017
Spatial-temporal distribution and risk assessment of mercury in different fractions in surface sediments from the Yangtze River estuaryQingrui Wang, Ruimin Liu, Cong Men, et al.
The Science of the Total Environment|August 30, 2017
Pollution characteristics, risk assessment, and source apportionment of heavy metals in road dust in Beijing, ChinaCong Men, Ruimin Liu, Fei Xu, et al.
Environmental Pollution (Barking, Essex : 1987)|August 15, 2024
The difference between tire wear particles and polyethylene microplastics in stormwater filtration systems: Perspectives from aging process, conventional pollutants removal and microbial communitiesCong Men, Yuting Ma, Jing Liu, et al.
Toxics|January 24, 2025
Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, ChinaCong Men, Donghui Li, Yunqi Jing, et al.
Journal of Hazardous Materials|December 19, 2021
A four-way model (FEST) for source apportionment: Development, verification, and applicationCong Men, Ruimin Liu, Yifan Wang, et al.
Marine Pollution Bulletin|August 20, 2016
Risk assessment and uncertainty analysis of PAHs in the sediments of the Yangtze River Estuary, ChinaLumeng Liu, Ruimin Liu, Wenwen Yu, et al.
Environmental Science and Pollution Research International|June 2, 2022
Impact of particle sizes on health risks and source-specific health risks for heavy metals in road dustCong Men, Ruimin Liu, Yifan Wang, et al.
Cognitive Neurodynamics|February 9, 2017
Weak electric fields detectability in a noisy neural networkJia Zhao, Bin Deng, Yingmei Qin, et al.
Pageof 5

Showing results (21-30 of 42) with videos related to

Sort By:
Pageof 5
Marine Pollution Bulletin|June 9, 2016
Spatial distribution and pollution evaluation of heavy metals in Yangtze estuary sedimentRuimin Liu, Cong Men, Yongyan Liu, et al.
Marine Pollution Bulletin|September 17, 2016
Bioavailability and risk assessment of arsenic in surface sediments of the Yangtze River estuaryHaotian Wang, Ruimin Liu, Qingrui Wang, et al.
Marine Pollution Bulletin|July 22, 2017
Spatial-temporal distribution and risk assessment of mercury in different fractions in surface sediments from the Yangtze River estuaryQingrui Wang, Ruimin Liu, Cong Men, et al.
The Science of the Total Environment|August 30, 2017
Pollution characteristics, risk assessment, and source apportionment of heavy metals in road dust in Beijing, ChinaCong Men, Ruimin Liu, Fei Xu, et al.
Environmental Pollution (Barking, Essex : 1987)|August 15, 2024
The difference between tire wear particles and polyethylene microplastics in stormwater filtration systems: Perspectives from aging process, conventional pollutants removal and microbial communitiesCong Men, Yuting Ma, Jing Liu, et al.
Toxics|January 24, 2025
Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, ChinaCong Men, Donghui Li, Yunqi Jing, et al.
Journal of Hazardous Materials|December 19, 2021
A four-way model (FEST) for source apportionment: Development, verification, and applicationCong Men, Ruimin Liu, Yifan Wang, et al.
Marine Pollution Bulletin|August 20, 2016
Risk assessment and uncertainty analysis of PAHs in the sediments of the Yangtze River Estuary, ChinaLumeng Liu, Ruimin Liu, Wenwen Yu, et al.
Environmental Science and Pollution Research International|June 2, 2022
Impact of particle sizes on health risks and source-specific health risks for heavy metals in road dustCong Men, Ruimin Liu, Yifan Wang, et al.
Cognitive Neurodynamics|February 9, 2017
Weak electric fields detectability in a noisy neural networkJia Zhao, Bin Deng, Yingmei Qin, et al.
Pageof 5