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

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.

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.


2021 ◽  
Author(s):  
Sabrina Akhter Rima ◽  
Mahfuzur Rahman ◽  
Subrota Kumar Saha ◽  
Jerin Saima ◽  
Mohammad Sabbir Hossain ◽  
...  

Abstract The current study aimed to evaluate the distribution and status of heavy metal contamination of surface water in the Nijhum Dweep, northern Bay of Bengal. Ten surface water samples were collected to determine the heavy metals and the associated human health risk. The mean concentrations of the selected heavy metals were ranked in descending order of Fe (3.412 mg/L) > Mn (0.3911 mg/L) > Pb (0.3 mg/L) > Co (0.2918 mg/L) > Zn (0.230 mg/L) > Ni (0.1943 mg/L) > Cu (0.167 mg/L) > Cd (0.11 mg/L) > Cr (0.077 mg/L). All the metals except Cd, Pb, and Ni were found uncontaminated, and these three metals influenced the values of heavy metal pollution indices. Heavy metal evaluation index (HEI), heavy metal pollution index (HPI), and Nemerow pollution index (NI) revealed that the surface water of the study area is low to moderately contaminated by these selected heavy metals. Hazard quotient (HQ) and hazard index (HI) for adults and children showed no non-carcinogenic risk of heavy metals from dermal exposure pathways except station number 4 at the south of the Nijhum Dweep due to high Mn concentration. No possible carcinogenic risk was found from the analyzed metals. Several local sources of heavy metals were found during the field investigation, such as domestic effluents, small-scale metallurgical activities, oil spills from ships, and fishing trawlers. Again, industrial effluents and agrochemicals from upstream regions also contribute to heavy metal pollutions in downstream coastal regions of Bangladesh. Even though the surface water pollution level is low in the study area, the authority should take proper management and monitoring strategy for sustainability.


2020 ◽  
Author(s):  
Xiuyan Han ◽  
Tianyi Cao ◽  
Tao Sun

Abstract Background In order to study the characteristics of heavy metal pollution from sludge in industrial parks and the effective methods of health risk assessment, in this paper, the pollution characteristics of eight heavy metals including Zn, Cu, Pb, Hg, Cr, Ni, As, Cd in sludge of sewage treatment plants in Nanjing MV Industrial Park were comprehensively evaluated and compared by using Nemerow Index Method, Muller Index Method and Matter element extension method. On this basis, the health risk assessment models of non-carcinogenic and carcinogenic heavy metals were constructed, and the health risks caused by four kinds of non-carcinogenic heavy metals Pb, Zn, Cu, Hg and four kinds of carcinogenic heavy metals Cr, As,Cd, Nicontained in sludge were evaluated by using the practical data of Nanjing Industrial Park. Results According to the evaluation results of heavy metal pollution characteristics in sludge of sewage treatment plants in Nanjing MV Industrial Park, the order of different pollution levels under different assessment methods is as follows: the level of the Nemerow Index Method assessment was low, the level of the Muller Index Method assessment was high, and the level of Grey Clustering Method assessment was relatively moderate. In the health risk assessment of heavy metals, the results showed that the order of effects of non-carcinogenic heavy metals on health risk ranged from large to small was: Hg, Cu, Pb, and Zn, and the health risk of non-carcinogenic heavy metal in children was much higher than that in adults. Similarly, the order of effects of carcinogenic heavy metal health risk ranged from large to small was Cd, Cr, Ni and As, and the health risk of carcinogenic heavy metal in children was slightly lower than that in adults. Conclusions It can be seen that there is a certain degree of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park, which affects the environmental quality in the park and the health risks of residents. This study verifies the assessment method of the heavy metal pollution characteristics and health risk is effective, and its research results have a guiding role in the management of heavy metal pollution in the sludge of the sewage treatment plant in Nanjing MV Industrial Park. It also has significant theoretical support for the government to formulate the eco-environmental quality standards and related policies of industrial parks.


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 ◽  
...  

Author(s):  
Kunyang Li ◽  
Song Cui ◽  
Fuxiang Zhang ◽  
Rupert Hough ◽  
Qiang Fu ◽  
...  

Heavy metal pollution in the river environment has been a source of widespread interest due to potential threats to human health and ecosystem security. Many studies have looked at heavy metal pollution in the context of single source-pathway-receptor relationships, however few have sought to understand pollution from a more wholistic multi-media perspective. To investigate potential risks in a more wholistic way, concentrations of six heavy metals (Cd, Cr, Ni, Cu, Zn and Pb) were detected in multi-media (water, sediment and riparian soil) collected from 14 sampling sites in the main stream of the Songhua River. Chemical analyses indicated that the average concentration of heavy metals in water followed: Zn > Cr > Cu > Pb > Ni > Cd, with a different trend observed in sediments and riparian soil: Zn > Cr > Ni > Pb > Cu > Cd. The potential risk was evaluated using the heavy metal pollution index (HPI), Nemerow pollution index (PN), hazard index (HI) and carcinogenic risk (CR) metrics. Results showed that all HPI values were lower than the critical level of 100 indicating that the levels of these targeted heavy metals were within drinking water safety limits. The PN indicated that both sediment (2.64) and soil (2.95) could be considered “moderately polluted”, with Cd and Zn providing the most significant contributions. A human health risk assessment suggested that the non-carcinogenic risks were within acceptable levels (HI < 1), as was the cancer risk associated with dermal adsorption (CR <10−6). However, the CR associated with ingestion exposure (4.58 × 10−6) exceeded the cancer risk threshold (10−6) indicative of elevated cancer incidence in exposed populations. Health-risk estimates were primarily associated with Cd in the Songhua River. Source apportionment was informed by Pearson correlation analysis coupled with principal component analysis (PCA) which indicated that Cu was mainly derived from natural (geogenic) sources; Cr and Ni were associated with industrial emissions; Pb might be derived from agricultural and transportation sources; Zn might be from industrial, agricultural activities and transportation; while Cd is likely from industrial and agricultural emissions. The source apportionment information could provide the basis for a risk-management strategy focused on reducing Cd and Zn emissions to the riverine environment. Results from this study will provide the scientific knowledge that is needed for measuring and controlling heavy metals sources and pollution characteristics, and identifying the potential cancer risk with different exposure pathways, as well as making effective environmental management policies at catchment or regional scales.


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