Health Risk Assessment of Some Dominant Heavy Metal Species Detected in Subsurface Water Near Kolkata MSW Landfill Site

Author(s):  
Vandana Parth ◽  
Somnath Mukherjee
2021 ◽  
Author(s):  
Fangfang Miao ◽  
Yimei Zhang ◽  
Yu Li ◽  
Qianguo Lin

Abstract Soil heavy metal pollution had become a global issue involving environmental safety and human health risks. A methodology was explored to quantify the sources of heavy metals in the soils and investigate the spatial distributions of heavy metals by the gridded spatial scale. The case study was implemented in the industrial waste sites in Suzhou city, Jiangsu province. Zinc (Zn) was screened out as the targeted metal (TM) through the potential ecological risk assessment, the species of which was simulated by the geochemical software PHREEQC. The aim of this research was to determine the dominant metal species of TM with potential hazardous health risk to local people to achieve key prevention and pollution control. Herein, according to the morphological evolution of metal species, the activity and concentration of the Zn species was calculated for both carcinogenic and non-carcinogenic health risk assessment. The evaluation of the optimized human health risk demonstrated that the associated health risk of Zn (II) depended predominantly on its metal speciation and was also affected by acidity and soil organic matter. Overall, the optimized carcinogenic and non-carcinogenic risk value of Zn2S32− for adults was 2.01E-04 and for children was 1.31 respectively, resulting in corresponding hazardous risk to human, which accounted for high risk level of 61.5% and 58.5%, respectively. This method could provide a reference for the decision-making of soil heavy metal pollution control and targeted hypotoxic convertion of metal species and remediation for certain heavy metal of polluted area.


Chemosphere ◽  
2021 ◽  
pp. 131007
Author(s):  
Franklin Obiri-Nyarko ◽  
Anthony A. Duah ◽  
Anthony Y. Karikari ◽  
William A. Agyekum ◽  
Evans Manu ◽  
...  

Chemosphere ◽  
2021 ◽  
Vol 274 ◽  
pp. 129792
Author(s):  
Yony Román-Ochoa ◽  
Grethel Teresa Choque Delgado ◽  
Teresa R. Tejada ◽  
Harry R. Yucra ◽  
Antonio E. Durand ◽  
...  

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.


2015 ◽  
Vol 5 (9) ◽  
pp. 78-85 ◽  
Author(s):  
Mohammad Shakhaoat Hossain ◽  
Fahad Ahmed ◽  
Abu Tareq Mohammad Abdullah ◽  
Mohammad Ahedul Akbor ◽  
Mohammad Aminul Ahsan

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