Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms

Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(25), С. 38346 - 38373

Опубликована: Янв. 25, 2022

Язык: Английский

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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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Assessment of groundwater suitability for sustainable irrigation: A comprehensive study using indexical, statistical, and machine learning approaches

Groundwater for Sustainable Development, Год журнала: 2023, Номер 24, С. 101059 - 101059

Опубликована: Дек. 13, 2023

Язык: Английский

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Heavy metal pollution in surface sediments and human health assessment in southern Al-Khobar coast, Saudi Arabia

Marine Pollution Bulletin, Год журнала: 2023, Номер 187, С. 114508 - 114508

Опубликована: Янв. 3, 2023

Язык: Английский

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Understanding the Extent of Heavy Metal Pollution in Drinking Water Supplies from Umunya, Nigeria: An Indexical and Statistical Assessment

Analytical Letters, Год журнала: 2020, Номер 53(13), С. 2122 - 2144

Опубликована: Фев. 23, 2020

Heavy metals in drinking water, even low concentrations, can be very injurious to humans. Groundwater, spring and stream waters for public consumption Umunya district were analyzed understand the extent of heavy metal (Fe, Zn, Mn, Pb, Cr, Ni) pollution. Several indexical statistical tools integrated achieve research objectives. The utilized pollution assessment (e.g., index, Nemerow's geoaccumulation evaluation modified index) showed that at least 40% water samples loaded with metals. Similarly, overall index synthetic which used quality evaluation, confirmed supplies are unsuitable human consumption. Moreover, similar results obtained from an ecological risk performed on samples. Overall, Pb Ni most predominant pollutants greatly impacted resources performance interrelationships models also evaluated. Strong correlations observed among models. Furthermore, multivariate tools, such as correlation analysis factor analysis, source apportionment. anthropogenic inputs more important factors influence waters. Therefore, efforts should made treat polluted before awareness campaigns encouraged protect further deterioration quality.

Язык: Английский

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Combining data-intelligent algorithms for the assessment and predictive modeling of groundwater resources quality in parts of southeastern Nigeria

Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(38), С. 57147 - 57171

Опубликована: Март 28, 2022

Язык: Английский

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Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality

Environmental Science and Pollution Research, Год журнала: 2021, Номер 29(18), С. 26860 - 26876

Опубликована: Дек. 3, 2021

Groundwater is considered as an imperative component of the accessible water assets across world. Due to urbanization, industrialization and intensive farming practices, groundwater resources have been exposed large-scale depletion quality degradation. The prime objective this study was evaluate for drinking purposes in Mewat district Haryana, India. For purpose, twenty-five samples were collected from hand pumps tube wells spread over entire district. Samples analyzed pH, electrical conductivity (EC), total dissolved solids (TDS), hardness (TH), turbidity, alkalinity (TA), cations anions laboratory using standard methods. Two different indices (weighted arithmetic index entropy weighted index) computed characterize area. Ordinary Kriging technique applied generate spatial distribution map WQIs. Four semivariogram models, i.e. circular, spherical, exponential Gaussian used found be best fit analyzing variability terms (GWQI) (EWQI). Hierarchical cluster analysis (HCA), principal (PCA) discriminant (DA) provide additional scientific insights into information content data available study. interpretation WQI based on GWQI EWQI reveals that 64% belong "poor" "very poor" bracket. result modeling also shows model obtains both dataset. HCA classified 25 sampling locations three main clusters similar characteristics. DA validated these identified a significant variables (pH, EC Cl) by adopting stepwise method. application PCA resulted factors explaining 69.81% variance. These reveal how processes like rock interaction, urban waste discharge mineral dissolution affect quality.

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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