Integrating hierarchical bioavailability and population distribution into potential eco-risk assessment of heavy metals in road dust: A case study in Xiandao District, Changsha city, China

2016 ◽  
Vol 541 ◽  
pp. 969-976 ◽  
Author(s):  
Jinhui Huang ◽  
Fei Li ◽  
Guangming Zeng ◽  
Wenchu Liu ◽  
Xiaolong Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Population Distribution ◽  
Road Dust ◽  
Changsha City

scholarly journals Geochemical Mapping, Risk Assessment, and Source Identification of Heavy Metals in Road Dust Using Positive Matrix Factorization (PMF)

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 614
Author(s):  
Muhammad Faisal ◽  
Zening Wu ◽  
Huiliang Wang ◽  
Zafar Hussain ◽  
Chenyang Shen
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Matrix Factorization ◽  
Anthropogenic Activities ◽  
Contamination Factor ◽  
Road Dust ◽  
Positive Matrix Factorization ◽  
Prevention Measures ◽  
Positive Matrix ◽  
The City

Heavy metals in road dust pose a significant threat to human health. This study investigated the concentrations, patterns, and sources of eight hazardous heavy metals (Cr, Ni, Cu, Zn, As, Cd, Pb, and Hg) in the street dust of Zhengzhou city of PR China. Fifty-eight samples of road dust were analyzed based on three methods of risk assessment, i.e., Geo-Accumulation Index (Igeo), Potential Ecological Risk Assessment (RI), and Nemerow Synthetic Pollution Index (PIN). The results exhibited higher concentrations of Hg and Cd 14 and 7 times higher than their background values, respectively. Igeo showed the risks of contamination in a range of unpolluted (Cr, Ni) to strongly polluted (Hg and Cd) categories. RI came up with the contamination ranges from low (Cr, Ni, Cu, Zn, As, and Pb) to extreme (Cd and Hg) risk of contamination. The risk of contamination based on PIN was from safe (Cu, As, and Pb) to seriously high (Cd and Hg). The results yielded by PIN indicated the extreme risk of Cd and Hg in the city. Positive Matrix Factorization was used to identify the sources of contamination. Factor 1 (vehicular exhaust), Factor 2 (coal combustion), Factor 3 (metal industry), and Factor 4 (anthropogenic activities), respectively, contributed 14.63%, 35.34%, 36.14%, and 13.87% of total heavy metal pollution. Metal’s presence in the dust is a direct health risk for humans and warrants immediate and effective pollution control and prevention measures in the city.

The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran

2017 ◽  
Vol 25 (14) ◽  
pp. 13382-13395 ◽  
Author(s):  
Milad Mirzaei Aminiyan ◽  
Mohammed Baalousha ◽  
Rouhollah Mousavi ◽  
Farzad Mirzaei Aminiyan ◽  
Hamideh Hosseini ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Source Identification ◽  
Pollution Assessment ◽  
Road Dust ◽  
Risk Source

Heavy metals potential health risk assessment through consumption of wastewater irrigated wild plants: A case study

2015 ◽  
Vol 22 (1) ◽  
pp. 141-152 ◽  
Author(s):  
Muhammad Usman Khan ◽  
Said Muhammad ◽  
Riffat Naseem Malik ◽  
Sabaz Ali Khan ◽  
Mohammad Tariq
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Wild Plants ◽  
Potential Health ◽  
Potential Health Risk
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