Application of HMTL and novel IWQI models in rural groundwater quality assessment: a case study in Nigeria

Ayejoto, Daniel A.; Egbueri, Johnbosco C.; Enyigwe, Monday T.; Chiaghanam, O.I.; Ameh, Peter D.

doi:10.1080/15569543.2021.1958867

Cited by 15 publications

(3 citation statements)

References 61 publications

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“…Additionally, these studies also reveal the percentages of toxic metals that must be removed from water before it is safe for human consumption (Huang et al, 2021). In this current study, the total HTML combined with all measured heavy metals was found to be below the allowable toxicity limits, indicating minimal contamination in the studied water (Ayejoto et al, 2021;Huang et al, 2021). However, in the case of individual metals, the average HTML concentration of certain elements such as Mn in (wet season produced water), Ni in (produced water in both seasons), Co present in (produced, discharged, and drinking water of both seasons) and Cr of discharge water (dry season) exceeded the permissible toxicity limits (Saha & Paul, 2019).…”

Section: Environmental and Ecological Toxicity Evaluationmentioning

confidence: 44%

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Appraisal of trace metals toxicity and human health risk using a novel approach in produced water of four gas fields, Bangladesh.

Hossain

Howladar

2023

Preprint

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The current research was conducted in the Sylhet gas-fields area of Bangladesh to evaluate the toxicity of trace metals (TMs) and associated health risks. Gas well-produced water, gas field discharge water, and drinking water surrounding the gas fields were collected for analysis. This study analyzed both carcinogenic and noncarcinogenic TMs such as Cr, As, Co, Cd, Fe, Ni, Mn, Zn, and Pb, as well as physical parameters pH and EC in the collected samples. The Fe and EC concentrations in produced and discharged water samples were found to be incredibly high. The average concentrations of TMs in produced water samples during the summer and rainy season were found to be: Fe > Mn > Zn > Ni > Co > Cu > Cr > Pb > As > Cd. The observed metal concentration in discharge water was higher during the summer than rainy season. Most samples met national and international standards for trace elements, while a few samples exceeded the threshold value. The Heavy Metal Evaluation Index (HMEI) results indicate that the majority of produced water is highly polluted, while discharge and drinking water are moderately to lowly polluted. The Environmental Pollution Index (EPI) indicates environmental pollution for some produced water samples, while it indicates a moderate to low risk for discharge and drinking water samples. The source allocation of heavy metals (HMs) was determined using positive matrix factorization. However, all water samples have an ecological risk index of less than 150, indicating lower risk. Furthermore, the Heavy Metals Toxicity Load (HMTL) was found to be below the allowable toxicity load for all water samples, indicating minimal contamination in the studied water. The non-cancer hazard score (HI) of the studied HMs is greater for children and females than for males. The cancer risk from Ni is a concern, while the cancer risk from Cd and Cr is also a matter of concern.

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Section: Environmental and Ecological Toxicity Evaluationmentioning

confidence: 44%

“…(b)(Ayejoto et al, 2021; Saha & Paul, 2009). Respective authorities should make reasonable efforts for the necessary percentages of trace metals to be eliminated from produced and discharged water(Kumar et al, 2019).…”

mentioning

confidence: 99%

Appraisal of trace metals toxicity and human health risk using a novel approach in produced water of four gas fields, Bangladesh.

Hossain

Howladar

2023

Preprint

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“…Water quality and health risks assessment models are two useful tools for preventing and mitigating environmental pollution and human health issues. While numerical models like the IWQI, HMTL, OIP, and SPI aid in analyzing drinking water quality [ [28] , [29] , [30] ], health risk assessment models aid in evaluating the deterministic health risks related with PHEs [ 31 , 32 ]. Some researchers have recently begun to combine multiple models to provide a better and more trustworthy study interpretation while limiting the bias associated with single model approach [ 30 ].…”

Section: Introductionmentioning

confidence: 99%