Assessment of oral and dermal health risk exposures associated with contaminated water resources: an update in Ojoto area, southeast Nigeria

International Journal of Environmental & Analytical Chemistry, Год журнала: 2022, Номер 104(3), С. 641 - 661

Опубликована: Янв. 10, 2022

Язык: Английский

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Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs

Geocarto International, Год журнала: 2022, Номер 37(25), С. 10407 - 10433

Опубликована: Янв. 26, 2022

The use of contaminated water for drinking and sanitary purposes can be detrimental to human health. In this article, the Human Health Risk (HHRISK) code was applied, alongside modified heavy metal index (MHMI), synthetic pollution (SPI), entropy-weighted quality (EWQI), investigate status, ingestion, dermal health risks potentially toxic elements (PTEs) (Fe, Zn, Mn, Pb, Cr, Ni) in resources from Umunya area, Nigeria. Physicochemical measurements followed standard methods. Results MHMI, SPI, EWQI revealed that about 60% samples had low were considered suitable consumption, while 40% unsuitable. Further, cumulative non-carcinogenic risk scores indicated pose low-medium high child adult populations. Contrarily, results carcinogenic showed 6.67% expose users risks, whereas 93.33% them risks. Although there are agreements between both populations (regarding risks), it is worth highlighting children higher. Therefore, study area more vulnerable Also, due ingestion higher than contact. Linear regression analysis strong agreement indexical models While artificial neural networks multiple linear accurately predicted indices, hierarchical dendrograms efficiently classed into various spatiotemporal groups.

Язык: Английский

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Perspectives of heavy metal pollution indices for soil, sediment, and water pollution evaluation: An insight

Total Environment Research Themes, Год журнала: 2023, Номер 6, С. 100039 - 100039

Опубликована: Апрель 8, 2023

The paper reviews the widely used heavy metal pollution indices (HPIs) in water, soil, and sediments presents their numerical equation application various fields. HPIs are an essential efficient tool to measure contamination environmental system. present study includes twenty from for comparative with ranges. In addition, regional distribution of publications has been reviewed, it observed that 68% were published Asia, followed by other continents. merits demerits each index have presented, a comprehensive method selecting appropriate is evaluated order better interpret level soils water systems. Among quality HPI, HEI HI due precise scale, easy use, less limitations provide results. single indices, EF, Igeo, CF can be simple manner soil assessment, whereas combined PLI INemerow found useful as apply scale. integrated Cd IAvg apply, there no limitation metals. Selection geochemical background (GB) must established, nature fluctuation GB may give false result. ecological risk (ERI) unique represent sediment A approach guidelines using considering different sectors developed nation. widespread HPI makes more accessible, well-defined result presented.

Язык: Английский

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Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based techniques

Environmental Research, Год журнала: 2024, Номер 249, С. 118320 - 118320

Опубликована: Фев. 6, 2024

Язык: Английский

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Metal(loid)s, nitrate, polycyclic aromatic hydrocarbons, and radioactive contaminants in Nigerian water resources: state-of-the-art of their ecological and health risk assessments

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Сен. 28, 2024

Язык: Английский

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A chemometric approach to source apportionment, ecological and health risk assessment of heavy metals in industrial soils from southwestern Nigeria

International Journal of Environmental & Analytical Chemistry, Год журнала: 2020, Номер 102(14), С. 3399 - 3417

Опубликована: Май 28, 2020

(2020). A chemometric approach to source apportionment, ecological and health risk assessment of heavy metals in industrial soils from southwestern Nigeria. International Journal Environmental Analytical Chemistry. Ahead Print.

Язык: Английский

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Drinking water quality assessment based on statistical analysis and three water quality indices (MWQI, IWQI and EWQI): a case study

Environment Development and Sustainability, Год журнала: 2022, Номер 25(1), С. 686 - 707

Опубликована: Янв. 4, 2022

Язык: Английский

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Investigation of the hydrogeochemistry, groundwater quality, and associated health risks in industrialized regions of Tripura, northeast India

Environmental Forensics, Год журнала: 2021, Номер 24(5-6), С. 285 - 306

Опубликована: Дек. 15, 2021

The aim of this study was to elucidate the contaminant sources and processes controlling groundwater quality risk assessment heavy metals posed on humans by statistical indices. sampling performed at Bodhjungnagar Industrial Estate, A.D. Nagar, Dukli Badharghat Cluster, Tripura, India during pre-monsoon post-monsoon in year 2017. A total 21 water parameters (Temp, pH, TDS, Ca, Mg, TH, Na, K, HCO3, Cl, SO4, PO4, NO3, F, Fe, Mn, Pb, Cd, As, Cu, Zn, Cr) were determined from collected samples. graphical methods employed assess suitability water. index (WQI) suggested that majority samples are suitable for drinking purpose. WATEQ4F model applied compute saturation (SI) different minerals present Based Piper plot dominant type is Ca-Cl area. Nemerow integrated pollution (NIPI) indicates groundwaters both industrial sites have moderately highly deteriorated with metals. hazard (HI) revealed amongst population, chronic health greater children considering seasons, higher pre­monsoon season.

Язык: Английский

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Hydrogeochemical assessment and health-related risks due to toxic element ingestion and dermal contact within the Nnewi-Awka urban areas, Nigeria

Environmental Geochemistry and Health, Год журнала: 2022, Номер 45(5), С. 2183 - 2211

Опубликована: Июль 21, 2022

Язык: Английский

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Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms

Groundwater for Sustainable Development, Год журнала: 2022, Номер 18, С. 100794 - 100794

Опубликована: Май 31, 2022

Язык: Английский

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