A water quality management strategy for regionally protected water through health risk assessment and spatial distribution of heavy metal pollution in 3 marine reserves

2017 ◽  
Vol 599-600 ◽  
pp. 721-731 ◽  
Author(s):  
Yinan Zhang ◽  
Chunli Chu ◽  
Tong Li ◽  
Shengguo Xu ◽  
Lei Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Spatial Distribution ◽  
Quality Management ◽  
Health Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Management Strategy ◽  
Water Quality Management

scholarly journals Distribution, source, water quality and health risk assessment of dissolved heavy metals in major rivers in Wuhan, China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11853
Author(s):  
Xingyong Zhang ◽  
Qixin Wu ◽  
Shilin Gao ◽  
Zhuhong Wang ◽  
Shouyang He
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Carcinogenic Risk ◽  
Source Water Quality

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.

Heavy metal pollution and health risk assessment of agricultural soils in a typical peri-urban area in southeast China

2018 ◽  
Vol 207 ◽  
pp. 159-168 ◽  
Author(s):  
Ying Huang ◽  
Qianqian Chen ◽  
Meihua Deng ◽  
Jan Japenga ◽  
Tingqiang Li ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Urban Area ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Agricultural Soils ◽  
Southeast China

Heavy metal pollution and potential health risk assessment of white rice around mine areas in Hunan Province, China

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 ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Hunan Province ◽  
Potential Health ◽  
Potential Health Risk ◽  
White Rice

scholarly journals Heavy metal pollution and human health risk assessment at mercury smelting sites in Wanshan district of Guizhou Province, China

RSC Advances ◽  
2020 ◽  
Vol 10 (39) ◽  
pp. 23066-23079
Author(s):  
Zhiyuan Wu ◽  
Lina Zhang ◽  
Tianxiang Xia ◽  
Xiaoyang Jia ◽  
Shijie Wang
Keyword(s):  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Human Health ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Human Health Risk ◽  
Human Health Risk Assessment ◽  
Guizhou Province

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.

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