Heavy metal pollution and health risk assessment of road dust on selected highways in Düzce, Turkey

2018 ◽  
Vol 19 (4) ◽  
pp. 298-314 ◽  
Author(s):  
F. Taşpınar ◽  
Z. Bozkurt
PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11853
Author(s):  
Xingyong Zhang ◽  
Qixin Wu ◽  
Shilin Gao ◽  
Zhuhong Wang ◽  
Shouyang He

Heavy metals are released into the water system through various natural processes and anthropogenic activities, thus indirectly or directly endangering human health. The distribution, source, water quality and health risk assessment of dissolved heavy metals (V, Mn, Fe, Co, Ni, Zn, As, Mo, Sb) in major rivers in Wuhan were analyzed by correlation analysis (CA), principal component analysis (PCA), heavy metal pollution index (HPI), hazard index (HI) and carcinogenic risk (CR). The results showed that the spatial variability of heavy metal contents was pronounced. PCA and CA results indicated that natural sources controlled Mn, Fe, Co, Ni and Mo, and industrial emissions were the dominant factor for V, Zn and Sb, while As was mainly from the mixed input of urban and agricultural activities. According to the heavy metal pollution index (HPI, ranging from 23.74 to 184.0) analysis, it should be noted that As and Sb contribute most of the HPI values. The health risk assessment using HI and CR showed that V and Sb might have a potential non-carcinogenic risk and As might have a potential carcinogenic risk to adults and children in the study area (CR value exceeded target risk 10−4). At the same time, it was worth noting that As might have a potential non-carcinogenic risk for children around QLR (HI value exceeded the threshold value 1). The secular variation of As and Sb should be monitor in high-risk areas. The results of this study can provide important data for improving water resources management efficiency and heavy metal pollution prevention in Wuhan.


Food Security ◽  
2015 ◽  
Vol 7 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Ming Lei ◽  
Bai-qing Tie ◽  
Zheng-guo Song ◽  
Bo-Han Liao ◽  
Joe Eugene Lepo ◽  
...  

RSC Advances ◽  
2020 ◽  
Vol 10 (39) ◽  
pp. 23066-23079
Author(s):  
Zhiyuan Wu ◽  
Lina Zhang ◽  
Tianxiang Xia ◽  
Xiaoyang Jia ◽  
Shijie Wang

The DRA model was used to analyze the human health risk contribute of different HMs sources in the mercury smelting site, and the PRA model was used to verify.


2021 ◽  
Vol 687 (1) ◽  
pp. 012057
Author(s):  
Jingjing Liu ◽  
Yanlong Ma ◽  
Songlin Zhang ◽  
Yiming Yao ◽  
Xiaoping Wang ◽  
...  

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