Results 131 to 140 of about 7,154,834 (160)

Source Apportionment of Agricultural Soil Heavy Metals Based on PMF Model and Multivariate Statistical Analysis

Environmental Forensics, 2022
The safety of human health and agricultural production depends on quality of farmland soil. Multivariate statistical analysis and positive matrix factorization (PMF) have revealed source apportionment of six heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn) in a
Hong Liu, Shazma Anwar, Liqiang Fang, Lin-Hua Chen, Wei-Jie Xu, Lin-Lin Xiao, Bin Zhong, Dan Liu   +7 more
semanticscholar   +1 more source

Source apportionment of heavy metals in sediments and soils in an interconnected river-soil system based on a composite fingerprint screening approach.

Journal of Hazardous Materials, 2021
Heavy metal pollution has been a global concern and key points of environmental pollution prevention and control due to the growing problems of urbanization and industrialization. Rapidly and correctly apportioning sources of heavy metal is still a great
Ruihui Chen, Qianru Zhang, Haiyang Chen, Wei-Feng Yue, Yan-Guo Teng   +4 more
semanticscholar   +1 more source

An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis.

Environmental Pollution, 2021
Elevated concentrations of heavy metals in agricultural soils threatening ecological security and the quality of agricultural products, and apportion their sources accurately is still a challenging task. Multivariate statistical analysis, GIS mapping, Pb
Yuntao Wang, Guang-Hui Guo, De-Gang Zhang, M. Lei   +3 more
semanticscholar   +1 more source

Quantitative source apportionment, risk assessment and distribution of heavy metals in agricultural soils from southern Shandong Peninsula of China.

Science of the Total Environment, 2021
The heavy metals, including cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), zinc (Zn), and the metalloid arsenic (As) were detected in surface and core soil samples collected from a tobacco growing region in Shandong ...
Hai-Wei Liu, Yan Zhang, Jia-shuo Yang, Hai-Yun Wang, Yi-Le Li, Yi Shi, De-Cheng Li, P. Holm, Quan Ou, Wenyou Hu   +9 more
semanticscholar   +1 more source

High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes.

Science of the Total Environment, 2021
Fine particulate matter (PM2.5) is a prominent atmospheric pollutant that poses serious adverse effects on air quality and human health. PM2.5 source apportionment based on receptor model suggests that Beijing is polluted by mixed emission sources, but ...
Lingling Lv, Yingjun Chen, Yong Han, Min Cui, Peng Wei, M. Zheng, Jingnan Hu   +6 more
semanticscholar   +1 more source

Systematic Evaluation of Two Classical Receptor Models in Source Apportionment of Soil Heavy Metal(loid) Pollution Using Synthetic and Real-World Datasets.

Environmental Science and Technology, 2022
Due to the lack of a priori knowledge on true source makeup and contributions, whether the source apportionment results of Unmix and positive matrix factorization (PMF) are accurate cannot be easily assessed, despite the availability of built-in ...
Yuan-An Hu, Sen Yang, Hefa Cheng, S. Tao
semanticscholar   +1 more source

Developing an integrated framework for source apportionment and source-specific health risk assessment of PAHs in soils: Application to a typical cold region in China.

Journal of Hazardous Materials, 2021
Here, a new integrated methodology framework has been proposed for source apportionment and source-oriented risk evaluation, and applied to identify the characteristics, sources and health risks of PAHs in the soils of a typical cold region in ...
Yuxin Zhang, Haiyang Chen, Chang Liu, Ruihui Chen, Yeyao Wang, Yan-Guo Teng   +5 more
semanticscholar   +1 more source

Source apportionment of volatile organic compounds: Implications to reactivity, ozone formation, and secondary organic aerosol potential

Atmospheric research, 2021
Volatile organic compounds (VOCs) are important contributors to atmospheric chemical reactivity rate (LOH), ozone formation potential (OFP), and secondary organic aerosol formation potential (SOAP).
Huang Zheng, S. Kong, N. Chen, Zhenzhen Niu, Ying Zhang, Shuning Jiang, Ying-Ying Yan, S. Qi   +7 more
semanticscholar   +1 more source

Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils.

Environmental Pollution, 2019
Absolute principal component score/multiple linear regression (APCS/MLR) and positive matrix factorization (PMF) were applied to a dataset consisting of 10 heavy metals in 300 surface soils samples. Robust geostatistics were used to delineate and compare
Jian-Shu Lv
semanticscholar   +1 more source

Source apportionment of heavy metals in soils around a coal gangue heap with the APCS-MLR and PMF receptor models in Chongqing, southwest China

Journal of Mountain Science, 2023
Jie Ma, Zhihong Shen, Sheng-lan Wang, Li Deng, Jing Sun, Ping Liu, Ze-lei She   +6 more
semanticscholar   +1 more source