Simultaneous appraisals of pathway and probable health risk associated with trace metals contamination in groundwater from Barapukuria coal basin, Bangladesh

Habib, Ahosan; Islam, Abu Reza Md. Towfiqul; Bodrud-Doza, Md.; Mukta, Farhana Afroj; Khan, Rahat; Siddique, Md. Abu Bakar; Phoungthong, Khamphe; Techato, Kuaanan

doi:10.1016/j.chemosphere.2019.125183

Cited by 100 publications

(48 citation statements)

References 45 publications

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“…The analysis of metals was performed following our previous reports [24][25][26] and the standard methods described by APHA [27]. The concentration of Fe, Mn, Zn, and Cu in the SSs and FSs was determined using flame atomic absorption spectrometer (Model: AA240 FS, Varian, Australia) while Cd, Pb, Cr, and Ni concentrations in the samples were analyzed using Zeeman atomic absorption spectrometer (Model: GTA 120-AA240Z, Varian, Australia) equipped with graphite furnace.…”

Section: Instrumental Analysismentioning

confidence: 99%

“…The quality of the analysis was very carefully ensured throughout the study period starting from sample collection to analysis in the laboratory as described elaborately in our previous work [24,25]. Analytical-grade reagents (Scharlau, Spain) such as HNO 3 , HClO 4 , H 2 O 2 , and deionized water (electrical conductivity 0.2 μS cm −1 , resistance 18.2 MΩ cm at 25 °C) were used for sample preparation.…”

Section: Analytical Quality Controlmentioning

confidence: 99%

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Accumulation and distribution of heavy metals in soil and food crops around the ship breaking area in southern Bangladesh and associated health risk assessment

et al. 2020

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Heavy metal pollution in agricultural soils and food crops around the ship breaking area is of great environmental and human health concern. In this work, we have spectroscopically determined the concentrations of Cd, Pb, Fe, Mn, Zn, Cr, Cu, and Ni in agricultural soils and commonly consumed vegetables, fruits, and rice grain collected from the Sitakunda ship breaking area of Chittagong, Bangladesh, in order to evaluate their contamination levels and probable human health risk with a multivariate statistical approach. Multivariate analyses such as principal component analysis and cluster analysis of the analytical data indicate a significant metal contamination in the samples which could be attributed to industrial activities such as ship breaking. The results of soil contamination evaluation indices such as enrichment factor, geo-accumulation index, and contamination factor demonstrated that the soils around the ship breaking area are mainly contaminated by Cd, Pb, Zn, and Cu while food crops were mostly contaminated by Zn, Cr, and Cu. The Pb contaminated the olive and teasle gourd while Cd contamination in rice grain was at the threshold limit for health hazard. Mn was slightly accumulated in banana. Transfer coefficient values of Cd, Zn, and Cu for almost all food crops were higher than other metals, and Cd showed the highest transfer. Estimated daily intake values for Ni exceeded the standard limit (1.3 μg kg −1 day −1). Target hazard quotient values of Cu, Zn, Pb, and Cd indicate that the local inhabitants who consume the contaminated food crops are being exposed to potential health risks.

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Section: Instrumental Analysismentioning

confidence: 99%

Section: Analytical Quality Controlmentioning

confidence: 99%

Accumulation and distribution of heavy metals in soil and food crops around the ship breaking area in southern Bangladesh and associated health risk assessment

et al. 2020

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“…To elucidate common sources, PCA is a useful tool for detecting common characteristics of metals (Habib et al 2020; Islam et al 2020a). It is also used to estimate how many factors were used for the PMF model.…”

Section: Resultsmentioning

confidence: 99%

“…Each layer of the triplicate collections from one sampling point was evenly divided into 2 portions at 10‐cm intervals, and then those subsamples ( n = 3) at the same layer for each location were homogenously mixed to form a representative composite sample. Then the well‐mixed composite samples were sealed in polythene bags and stored in a refrigerator at 4 °C (Habib et al 2020) until analysis in the laboratory.…”

Section: Methodsmentioning

confidence: 99%

Quantifying Source Apportionment, Co‐occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh

Islam

Hasanuzzaman

Islam

et al. 2020

Enviro Toxic and Chemistry

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The positive matrix factorization (PMF) receptor model was used for the first time to quantify the source contributions to heavy metal pollution of sediment on a national basin scale in the upstream, midstream, and downstream rivers (Teesta and Kortoya-Shitalakkah and Meghna-Rupsha and Pasur) of Bangladesh. The metal contamination status, cooccurrence, and ecotoxicological risk were also investigated. Sediment samples were collected from 30 sites at a depth range of 0 to 20 cm for analysis of 9 metals using inductively coupled plasma-mass spectrometry. The mean concentrations of metals varied for upstream, lower midstream, and downstream river segments. The results showed that chromium (Cr) exhibited a strong significant co-occurrence network with other metals (e.g., manganese [Mn], iron [Fe], and nickel [Ni]). Monte Carlo simulation results of the geo-accumulation index (Igeo; 63.3%) and risk indices (48.5%) showed that cadmium (Cd) was the main contributor to sediment pollution. However, the cumulative probabilities of sediments being polluted by metals were ranked as "moderate to heavily polluted" (Igeo 46.6%; risk index 16.7%). Toxicity unit results revealed that zinc (Zn) and Cd were the key toxic contributors to sediments. The PMF model predicted metal concentrations and identified 4 potential sources. The agricultural source (factor 1) mostly contributed to copper (Cu; 78.9%) and arsenic (As; 62.8%); Ni (96.9%) and Mn (83.5%) exhibited industrial point sources (factor 2), with 2 hot spots in northwestern and southwestern regions. Cadmium (93.5%) had anthropogenic point sources (factor 3), and Fe (64.3%) and Cr (53.5%) had a mixed source (factor 4). Spatially, similar patterns between PMF apportioning factors and predicted metal sources were identified, showing the efficiency of the model for river systems analysis. The degree of metal contamination in the river segments suggests an alarming condition for biotic components of the ecosystem.

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“…where, ADD ingestion and ADD dermal indicate the average daily dose via ingestion and dermal adsorption (mg/kg/day), respectively; CW is the average concentration of the metals in water (µg/L); IR is the daily ingestion rate (L/day); EF is the exposure frequency (day/year); ED is the exposure duration (year); BW is the average body weight (kg); AT is the average time of exposure (days); Kp is the dermal permeability coefficient in water (cm/h); and SA is the exposed skin area (cm 2 ); ET is the exposure time (h/day). These parameters are listed in Supplementary Table S2 and S3, referenced from [27,29] and the US EPA (2009).…”

Section: Environmental Protection Agencymentioning

confidence: 99%

Distribution and Health Risk Assessment of Dissolved Metal in Surface and overlying water at the the Xiangjiang River in Southern China

Huang

Zhao

Qiao

et al. 2020

Preprint

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Background: Metal pollution in rivers has been a serious environmental problem in aquatic ecosystems. The Xiangjiang River is an important drinking water resource for the Hunan province of China. It is crucial to ascertain the pollution status and health risk of metal in this river. In this study, both surface and overlying water samples were collected from the Xiangjiang River and 12 dissolved metals (Mg, V, Cr, Mn, Fe, Co, Ni, Zn, As, Cd, Sb, and Ba) were investigated. Results: Average concentrations fell in the order of dissolved metal Mg > Mn > Ba > Fe > Zn > As > Sb > Ni > Cd > V > Cr > Co, all of which were lower than the threshold values for drinking water guidelines of China. There was no significant difference in metal concentrations between surface and overlying water. Health risk assessment shows carcinogenic risk (CR) values of As and Cd were higher than the critical value, and children are more susceptible to the health risk of dissolved metals caused by drinking ingestion. Conclusion: The water quality in this area was good overall. Metals pollution appeared more serious in the midstrean and on the southern side of the investigated area. Anthropogenic activities are the main source of heavy metals in the river. Dissolved metals have health risk to local children with hazard index (HI) > 1. While more attention should be paid to As and Cd, which had a potential carcinogenic risk to human. The results provide guidance for controlling metal pollution and protecting drinking water sources in the Xiangjiang River.

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Simultaneous appraisals of pathway and probable health risk associated with trace metals contamination in groundwater from Barapukuria coal basin, Bangladesh

Cited by 100 publications

References 45 publications

Accumulation and distribution of heavy metals in soil and food crops around the ship breaking area in southern Bangladesh and associated health risk assessment

Accumulation and distribution of heavy metals in soil and food crops around the ship breaking area in southern Bangladesh and associated health risk assessment

Quantifying Source Apportionment, Co‐occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh

Distribution and Health Risk Assessment of Dissolved Metal in Surface and overlying water at the the Xiangjiang River in Southern China

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