Heavy Metals Pollution Source Identification and Probabilistic Health Risk Assessment of Shallow Groundwater in Onitsha, Nigeria

Egbueri, Johnbosco C.

doi:10.1080/00032719.2020.1712606

Cited by 142 publications

(66 citation statements)

References 20 publications

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“…In other words, this method classified the water quality of Ojoto according to the degree of purity by calculating the quality index using pH and the analyzed heavy metals used in the health risk assessment. Specific weights (w i ) were assigned to the selected parameters, based on their individual significance in water quality analysis Mgbenu and Egbueri 2019;Egbueri 2020a). The mathematical formula used in calculating the WQI is given as:…”

Section: Water Quality Indexing (Wqi)mentioning

confidence: 99%

“…The non-carcinogenic health risks of intake of trace elementcontaminated water by human (adults and children) population in undesirable quantities have been classified by different authors (Bortey-Sam et al 2015;Duggal et al 2017;Barzegar et al 2018;Zhang et al 2018;Ezugwu et al 2019;Mgbenu and Egbueri 2019;Ukah et al 2019;Egbueri 2020a).…”

Section: Non-carcinogenic Health Risk Assessmentmentioning

confidence: 99%

“…where CDI is the chronic daily intake and otherwise referred to as the exposure dose (mg/kg/day); C w signifies the contaminant concentration in water (mg/L); IRW represents the water ingestion rate (IRW is equal to 1 L for children and 2 L for adults); EF is used to denote the exposure frequency (EF is equivalent to 365 days per year); ED signifies the exposure duration (adult ED = 70 years while children ED = 6 years); BW is the body weight (equivalent to 70 kg and 15 kg for adult and children, respectively); AT represents the average exposure time (equivalent to 25,550 days and 2190 days for adult and children, respectively) (Duggal et al 2017;Barzegar et al 2018;Mgbenu and Egbueri 2019;Egbueri 2020a).…”

Section: Chronic Daily Intake (Cdi)mentioning

confidence: 99%

“…All over the world, the consumption (ingestion) of heavy metals-contaminated waters has been reported to cause serious health issues (disasters) like skin, lung, and bladder cancers; bronchiectasis; intellectual disabilities; neurological, cardiovascular, kidney, and bone diseases; hyperpigmentation of the palm and sole; hypertension; myocardial damage; liver damage; Bowens disease; diabetes, etc. (Rahman et al 2017;Sridharan and Nathan 2018;Mgbenu and Egbueri 2019;Ukah et al 2019;Egbueri 2019cEgbueri , 2020a.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, human health risk analysis is an important tool toward actualizing these goals. Health risk assessment of water resources measures and quantifies the potential impact of water pollution on human health based on water quality standards and health risk benchmarks (Zhu et al 2017;Egbueri 2020a). Risk assessment is aimed at minimizing the health risks associated with consuming contaminated drinking water by a host of techniques (US-EPA 1999, 2011Zhu et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Egbueri

Mgbenu

2020

Appl Water Sci

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This paper quantified the level of heavy metals contamination, identified possible sources of pollution, and assessed the human health risks associated with drinking water resources in Ojoto Province, Nigeria. The study's gross findings revealed that the suitability of some water sources for consumption purposes in this province is questionable. Based on water quality index, 57.14% of the total samples are within acceptable limits, while 42.86% are unsuitable for drinking. It was observed that the northwestern and southern parts of the study area have more of deteriorated water quality. The health hazard index revealed that 25% of the samples predispose their consumers (both adult and children populations) to high chronic health risks. Moreover, heavy metal pollution index, contamination index, and probability of cancer risk (CR) revealed that about 25% of the total samples were unsuitable and off the CR standard acceptable range of ≤ 1 × 10 −6-1 × 10 −4. Correlation and component factor analyses linked the origin of major ions to geogenic processes and that of the heavy metals to both natural and anthropogenic processes. Cluster analysis divided the samples into two equal classes (50% each): poor and excellent quality waters. This study indicated that Pb is the priority pollutant impacting the water quality. The various assessments revealed that waters from hand-dug wells and deeper boreholes are the least contaminated and hence best suited for drinking than waters from springs, streams, and shallow wells.

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Section: Water Quality Indexing (Wqi)mentioning

confidence: 99%

Section: Non-carcinogenic Health Risk Assessmentmentioning

confidence: 99%

Section: Chronic Daily Intake (Cdi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Egbueri

Mgbenu

2020

Appl Water Sci

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Evaluation of groundwater quality in Jampali coal mine, Raigarh, Chhattisgarh, India

Ahmed

Sonkar

Kishore

et al. 2021

Environmental Quality Mgmt

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Groundwater is the main source of water for drinking, industrial, and irrigation uses for most nations. Groundwater quality deterioration occurs due to urban, agricultural, mining, and industrial expansions. This research deals with the assessment of groundwater quality index, correlation, clustering analysis, and major ions chemistry around Jampali opencast coal mine of Raigarh district, Chhattisgarh, India, where groundwater is the main source of drinking water. A total of 28 groundwater samples were collected from the different stations in the month of April 2019 and 11 physicochemical parameters were examined. The results of the physicochemical analysis showed that cation abundance follows the order Na + > K + > Mg 2+ > Ca 2+ in the groundwater, while anion abundance follows the order Cl − > NO 3 − > SO 4 2− > F − . A strong positive correlation is observed between TDS-EC, TDS-Mg 2+ , TDS-Na + , TDS-Cl − , TDS-SO 4 2− (r = 0.999, 0.871, 0.872, 0.846, and 0.801) and EC-Mg 2+ , EC-Na + , EC-Cl − , EC-SO 4 2− (r = 0.871, 0.873, 0.846, 0.802). The two clusters demonstrate a blended genesis connected to anthropogenic and geogenic measures. Based on calculated water quality index (WQI) values, groundwater falls under two classes: excellent and good water. WQI values of the study region depict that 85.72% of samples come under the excellent category and 14.28% in the good category.

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Drinking water quality in Cooch Behar Municipality, West Bengal, India: Assessment using WQI and public perception

Karmakar,

Sarkar,

Islam

2024

Environmental Quality Mgmt

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Effective assessment and management of groundwater quality are essential for safeguarding the integrity of freshwater resources. Cooch Behar Municipality of West Bengal has been chosen for the present study due to its reliance primarily on groundwater for drinking water. The study focuses on assessing groundwater quality in the study area, a planned city with a long history of urbanization. The primary objective is to analyze various parameters relevant to drinking water and compute the Water Quality Index (WQI) with the residents' perception. Forty water samples were collected from Cooch Behar Municipality's Public Health Engineering (PHE) department, encompassing all 20 wards. Each ward provided one sample from a Deep Tube Well (DTW) and a Shallow Tube Well (STW). EC, Fe, TH, Mn, pH, TDS, Turbidity, Ca, and Mg levels were determined using standard instruments and methods, and analyzed geospatial techniques and statistical methods were employed. Results revealed concerning levels of manganese (Mn) and total hardness (TH), exceeding permissible limits in 82.5% and 75% of samples, respectively. While some parameters remained within acceptable limits, computed WQI values ranged from 63.28 to 162.67, indicating significant overall water quality concerns. Alarmingly, 45% of samples were unsuitable for drinking, with an additional 40% classified as very poor. Notably, demographic factors such as household income and education level correlated with perceptions of poor water quality. Policy implications suggest the urgent need for a well‐structured management system to address these findings and ensure safe drinking water for residents.

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Heavy Metals Pollution Source Identification and Probabilistic Health Risk Assessment of Shallow Groundwater in Onitsha, Nigeria

Cited by 142 publications

References 20 publications

Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Evaluation of groundwater quality in Jampali coal mine, Raigarh, Chhattisgarh, India

Drinking water quality in Cooch Behar Municipality, West Bengal, India: Assessment using WQI and public perception

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