Indexical and artificial neural network modeling of the quality, corrosiveness, and encrustation potential of groundwater in industrialized metropolises, Southeast Nigeria DOI
Johnbosco C. Egbueri, Chinanu O. Unigwe, Johnson C. Agbasi

et al.

Environment Development and Sustainability, Journal Year: 2022, Volume and Issue: 25(12), P. 14753 - 14783

Published: Oct. 3, 2022

Language: Английский

Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics DOI Creative Commons
Johnbosco C. Egbueri, Johnson C. Agbasi, Daniel A. Ayejoto

et al.

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: May 2, 2023

The majority of people living on earth rely groundwater as their primary supply water for daily needs. However, human activities continuously threaten this natural resource. In an attempt to unravel the extent impact human-related physicochemical characteristics in Nnewi and Awka urban clusters (Nigeria), several techniques were integrated study. Groundwater samples warm acidic nature. Concentrations SO42-, NO3-, PO43-, Cl-, HCO3-, Ca2+, Mg2+, Na+ K+ within set benchmarks. nutrient pollution index (ranging from 0.060 0.745), nitrate (varying between −0.999 −0.790) 0.057 0.630) estimated anthropogenic contamination showed low characteristics. health risks due ingestion skin absorption nitrate-contaminated computed six age groups (6–12 months, 5–10 years, 10–15 15–20 20–60 years >60 years) risk values that < 1, implying chronic humans. cumulative total hazard ranged 0.006 0.787 with a mean value 0.167. Chemometric analyses geochemical plots revealed relationships variables sources. Chadha's plot 55% Ca2+-Mg2+-Cl- waters, predominating over Na+-Cl- Ca2+-Mg2+-HCO3- waters. Bivariate multivariate also indicated impact. Furthermore, principal component analysis R-type hierarchical clustering confirmed chemistry quality mostly influenced by geogenic processes than acts. Conclusively, influence is low. These findings would be useful future monitoring both clusters.

Language: Английский

Citations

70

A multi-model study for understanding the contamination mechanisms, toxicity and health risks of hardness, sulfate, and nitrate in natural water resources DOI
Johnbosco C. Egbueri

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(22), P. 61626 - 61658

Published: March 17, 2023

Language: Английский

Citations

53

Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based techniques DOI
Sani I. Abba, Mohamed A. Yassin, Syed Muzzamil Hussain Shah

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 249, P. 118320 - 118320

Published: Feb. 6, 2024

Language: Английский

Citations

47

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development DOI

Chaitanya B. Pande,

Johnbosco C. Egbueri, Romulus Costache

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 444, P. 141035 - 141035

Published: Feb. 8, 2024

Language: Английский

Citations

35

An integrated appraisal of the hydrogeochemistry and the potential public health risks of groundwater nitrate and fluoride in eastern Ghana DOI
Johnbosco C. Egbueri, Mahamuda Abu, Johnson C. Agbasi

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101264 - 101264

Published: June 28, 2024

Language: Английский

Citations

23

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 DOI
Johnbosco C. Egbueri, Johnson C. Agbasi, Arinze Longinus Ezugwu

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

Language: Английский

Citations

22

Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review DOI
Johnson C. Agbasi, Johnbosco C. Egbueri

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(21), P. 30370 - 30398

Published: April 20, 2024

Language: Английский

Citations

21

Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods DOI
Johnson C. Agbasi, Mahamuda Abu, Johnbosco C. Egbueri

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: June 21, 2024

Language: Английский

Citations

18

Lead, Nickel, Arsenic, and Chromium Contamination in Nigerian Groundwater: Sources, Potential Impacts, and Removal Techniques DOI
Johnbosco C. Egbueri, Johnson C. Agbasi, Joshua O. Ighalo

et al.

Springer water, Journal Year: 2025, Volume and Issue: unknown, P. 327 - 355

Published: Jan. 1, 2025

Language: Английский

Citations

2

Groundwater quality assessment for drinking and irrigation uses within the vicinities of Volta Lake and Akosombo Dam in Ghana: a multi-methodological approach DOI
Mahamuda Abu, Johnbosco C. Egbueri, Johnson C. Agbasi

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(7)

Published: March 26, 2025

Language: Английский

Citations

2