Pollution evaluation, sources and risk assessment of heavy metals in hand-dug wells from Ejisu-Juaben Municipality, Ghana

Boateng, Thomas Kwame; Opoku, Francis; Acquaah, Samuel Osafo; Akoto, Osei

doi:10.1186/s40068-015-0045-y

Cited by 87 publications

(46 citation statements)

References 58 publications

(35 reference statements)

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“…Temperature and pH are among essential features of the environment since they affect nutrition, growth, metabolic activity and human reproduction. Heavy metals have been revealed to pose a serious threat to human health due to their toxicity, persistence, bioaccumulation in the food chain and nondestructible nature in the environment (Asare-Donkor et al 2015;Asefi and Zamani-Ahmadmahmoodi 2015;Boateng et al 2015;Bortey-Sam et al 2015;Singh et al 2013;Zhang et al 2014). Essential metals, such as Fe, Mn, Zn and Cu play a vital role in the biological processes but turn to be toxic above certain concentrations.…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical characteristics of surface water and ecological risk assessment of sediments from settlements within the Birim River basin in Ghana

2018

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Background: Geogenic and anthropogenic activities such as Artisanal and illegal gold mining continue to have negative impacts on the environment and river basins in China. This work studied the hydrogeochemical characteristics of surface water from the Birim River basin and assess the quality of water for human consumption and agricultural activities. In addition, the ecological risk assessment for Cd, Zn, Pb and As in sediment was evaluated using pollution indices. Results:The results show that the turbidity, temperature, colour and iron concentration in the water samples were above the World Health Organization guidelines. Multivariate analysis explained five components that accounted for 98.15% of the overall hydrogeochemistry and affected by anthropogenic and geogenic impacts. The surface water was observed to range from neutral to mildly acidic, with the dominance of HCO 3, and Na + in ionic strength. The Piper diagram reveals five major surface water types: Na-HCO 3 -Cl, Na-Cl-HCO 3 , Na-Ca-Mg-HCO 3 , Na-Ca-Mg-HCO 3 and Ca-Na-Mg-HCO 3 . The Gibbs plot showed that the major ion chemistry of surface water was mostly influenced by atmospheric precipitation and the water quality index showed that the majority of the surface water from settlements within the Birim River basin were of poor quality for drinking and other domestic purposes. However, irrigation suitability calculations with reference to sodium adsorption ratio, residual sodium carbonate, and magnesium ratio values, together with Wilcox and USSL models indicated that the surface water within the area under study was suitable for agriculture. The potential ecological risk for single heavy metals pollution and potential toxicity response indices gave low to considerable ecological risks for the sediments, with greater contributions from Cd, Pb and As. Whilst geo-accumulation indices indicated that the sediments ranged from unpolluted to moderately polluted Modified degree of pollution and Nemerow pollution index calculations which incorporate multi-element effects, however, indicated no pollution. Conclusion:There are some levels of both potential ecological risks and health hazards in the study area. Hence continuous monitoring should be undertaken by the relevant agencies and authorities so that various interventions could be put in place to prevent the situation from deteriorating further in order to protect the inhabitants of the settlements within the Birim River basin.

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Section: Introductionmentioning

confidence: 99%

Hydrochemical characteristics of surface water and ecological risk assessment of sediments from settlements within the Birim River basin in Ghana

2018

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“…2. These high levels of Ca and Mg are typically caused by geological properties of the region [42]. The CM analysis was performed to figure out the relationships among the water sample contaminants.…”

Section: Discussionmentioning

confidence: 99%

“…Usually, it is applied to get a whole idea on potential water contamination caused by heavy metals. HEI is calculated as following equation [42], [43].…”

Section: 52heimentioning

confidence: 99%

Assessment of Heavy Metals Contamination in Drinking Water of Garmian Region, Iraq

Issa¹,

Alshatteri²

2018

UHD J SCI TECH

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Drinking water of safe quality is a critical issue for human survival and health. Water pollution by heavy metals is very crucial because of their toxicity. This study assesses potential of heavy metals pollution in drinking water in Garmian Region, East Iraq. Water samples were investigated for 23 heavy metals and 6 chemical contaminants collected from 16 locations. The analysis was performed by using coupled plasma optical emission spectroscopy (ICPOES, Spectro Arcos). High levels of Al, Se, Sr, and Fe have been detected at certain locations in study area. Statistical analysis techniques of the correlation matrix (CM), and cluster hierarchical analysis (CA) were conducted. The heavy metals pollution index (HPI), heavy metals evaluation index (HEI), and contamination Index (Cd) were used applied. These indices linked with the statistical analysis to interpret relationships among the tested parameters in water samples and to investigate the pollution sources over the study region. Even with the significant correlations between the HPI, Cd, and HEI, they showed dissimilar impact of examined heavy metals on the water quality. The most reliable pollution evaluation index of HEI for drinking water showed that 44% of the water samples is critically polluted. Sources of the contamination are most likely coming from natural geological sources. Anthropogenic impact was only noticed at several sites in the study area.

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“…Some of the heavy metals such as Cu, Fe, Mn, and Zn are essential for growth, development, and health at low quantities, while they become toxic at higher concentrations. Others such as As, Cd, Cr, Hg, and Pb are categorized as toxic species on living organisms, even at trace amounts (16)(17)(18)(19)(20). Nowadays, overexploitation of groundwater resources for various purposes further affect the groundwater quality.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, overexploitation of groundwater resources for various purposes further affect the groundwater quality. Therefore, assessment of groundwater quality through analysis and prediction of heavy metals content is very important to provide useful information about the suitability of such resources, especially in agricultural areas, due to the application of commercial agrochemicals on agricultural production over the years (18,21).…”

Section: Introductionmentioning

confidence: 99%

An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources

Alizamir

Sobhanardakani

2018

Jundishapur J Health Sci

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Background: The quality of groundwater as the most important source for domestic, irrigation, and industrial purposes is affected by discharge of the chemicals from the anthropogenic resources. Therefore, the current study aimed at predicting heavy metals (As, Pb, Cu, and Zn) contamination in groundwater resources of Toyserkan Plain as an important agricultural area in Hamedan Province, West of Iran using artificial neural network -particle swarm optimization (ANN-PSO) approach. Methods: In the current study, samples were randomly selected from 20 groundwater wells with depth of 10 -90 m. The samples were filtered and kept cool in polyethylene bottles and then taken for the analysis of metal contents; they were acidified using nitric acid to reach pH < 2. Finally, element contents were determined using inductively coupled plasma -optical emission spectrometry (ICP-OES). Also, the performance of the PSO model was compared with that of ANN using Bayesian regulation (BR) training algorithm in terms of accuracy and model prediction efficiency.

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Pollution evaluation, sources and risk assessment of heavy metals in hand-dug wells from Ejisu-Juaben Municipality, Ghana

Cited by 87 publications

References 58 publications

Hydrochemical characteristics of surface water and ecological risk assessment of sediments from settlements within the Birim River basin in Ghana

Hydrochemical characteristics of surface water and ecological risk assessment of sediments from settlements within the Birim River basin in Ghana

Assessment of Heavy Metals Contamination in Drinking Water of Garmian Region, Iraq

An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources

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