Evaluation of groundwater quality using pollution index of groundwater (PIG) and non-carcinogenic health risk assessment in part of the Gangetic Basin

2021 ◽  
Author(s):  
Apoorv Verma ◽  
N. B. Singh
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Groundwater Quality ◽  
Health Risk Assessment ◽  
Pollution Index

Sustainable groundwater quality in southeast coastal Bangladesh: co-dispersions, sources, and probabilistic health risk assessment

2021 ◽  
Author(s):  
Abu Reza Md. Towfiqul Islam ◽  
Mohammad Mahbub Kabir ◽  
Sharmina Faruk ◽  
Jawad Al Jahin ◽  
Md. Bodrud-Doza ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Groundwater Quality ◽  
Health Risk Assessment ◽  
Coastal Bangladesh

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.

scholarly journals A Comparative Study of Water Quality and Human Health Risk Assessment in Longevity Area and Adjacent Non-Longevity Area

2019 ◽  
Vol 16 (19) ◽  
pp. 3737
Author(s):  
Jiawen Yu ◽  
Jinlong Zhou ◽  
Aihua Long ◽  
Xinlin He ◽  
Xiaoya Deng ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Groundwater Quality ◽  
Human Health ◽  
Health Risk Assessment ◽  
Human Health Risk ◽  
Water Environment ◽  
Carcinogenic Risk ◽  
Control Groups ◽  
Quality Grade

A longevity area in Xinjiang, China and an adjacent non-longevity area both have similar climatic and hydrogeological conditions, and the residents of the two control groups have similar ethnic composition, diets and lifestyles. This study investigated if differences in groundwater quality between the longevity area and the non-longevity area are associated with the health of residents in the two control groups. In order to quantitatively describe the groundwater quality of the two control groups and its influence on human health, the Fuzzy Comprehensive Evaluation Method (FCEM) was used to compare and assess the overall water environment of the two control groups. Furthermore, the human health risk of groundwater for the two control groups was assessed using the Health Risk Assessment Model recommended by the U.S. Environmental Protection Agency (USEPA). Results showed that the overall water environment categories for the longevity area and non-longevity area are moderate quality (grade III) and very poor quality (grade V), respectively. The main health risk in the longevity area water environment is the non-carcinogenic risk (HQLLV) caused by Cl−. The main health risks in the non-longevity area water environment are the non-carcinogenic risk (HQCA) caused by Cl− and the carcinogenic risk (RiskCA) caused by As. The total health risk (HRall) caused by over-standard inorganic pollutants in the water environment of the non-longevity area is 3.49 times higher than that of the longevity area. In addition, the study showed that the water environment pollution downstream of the Keriya River is conjunctively caused by agricultural activities and domestic sewage. The overall water environment of the longevity area is more conducive to the health-longevity of residents than the non-longevity area.

Application of two different health risk assessment approaches to detect soil potentially toxic element induced risk

2020 ◽  
Author(s):  
Gevorg Tepanosyan ◽  
Lilit Sahakyan ◽  
Armen Saghatelyan
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Pollution Index ◽  
Copper Smelter ◽  
Carcinogenic Risk ◽  
Soil Samples ◽  
Anthropogenic Sources ◽  
Us Epa ◽  
The City

<p>Soils of urbanized and mining areas succeeded the main geochemical features of parent materials, as well as accumulate potentially toxic elements (PTE) from different anthropogenic sources. The latter resulted in the change of soil chemical composition and high level of PTE which may have negative reflection on people’s health. In this study 207 soil samples were collected from the entire territory of the city of Alaverdi hosting Alaverdi copper smelter. After the determination of Fe, Ba, Mn, Co, V, Pb, Zn, Cu, Cr, As and Mo concentrations by XRF the established data set was subjected for the PTE induced health risk assessment. In this study two commonly used health risk assessment approaches - Summary pollution index (Zc) [1]–[3] and Hazard Index (HI, US EPA) [4] were used to assess human health risk posed by the content of studied PTE in soil of Alaverdi city. The result showed that the detected concentrations are mainly the result of superposition of PTE contents introduced into the environment from natural mineralization processes and Alaverdi copper smelter related activities. The health risk assessment showed that the Zc values belonging to the extremely hazardous level has point-like shape and are surrounded by the hazardous and moderately hazardous levels, respectively. Summary pollution index showed that approximately 53 % of the city territory including the residential part is under the risk suggesting the increase in the overall incidence of diseases among frequently ill individuals, functional disorders of the vascular system and children with chronic diseases [1]. The US EPA method were in line with the results of the Zc and indicated that the observed contents of elements are posing non-carcinogenic risk to adult mainly near the copper smelter. In the case of children single-element non-carcinogenic risk values greater than 1 were detected for As, Fe, Co, Cu, Mn, Pb and Mo in 122, 95, 86, 10, 10, 9 and 6 samples out of 207 soil samples and the mean HQ values decrease in the following order: As(2.41)>Fe(1.14)>Co(1.09)> Mn(0.61)>Pb(0.41)>Cu(0.32)>V(0.19)>Mo(0.11)>Cr(0.05)>Ba(0.03)>Zn(0.02). The multi-elemental non-carcinogenic risk observed in the entire territory of the city indicating an adverse health effect to children. The results of this study suggesting the need of immediate risk reduction measures with special attention to arsenic.</p><p><strong>References:</strong></p><p>[1]         E. K. Burenkov and E. P. Yanin, “Ecogeochemical investigations in IMGRE: past, present, future,” Appl. Geochemistry, vol. 2, pp. 5–24, 2001.</p><p>[2]         C. C. Johnson, A. Demetriades, J. Locutura, and R. T. Ottesen, Mapping the Chemical Environment of Urban Areas. 2011.</p><p>[3]         Y. E. Saet, B. A. Revich, and E. P. Yanin, Environmental geochemistry. Nedra, 1990.</p><p>[4]         RAIS, “Risk Exposure Models for Chemicals User’s Guide,” The Risk Assessment Information System, 2020. [Online]. Available: https://rais.ornl.gov/tools/rais_chemical_risk_guide.html. [Accessed: 01-Jan-2020].</p><p> </p>

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