Influence of Seasonal Changes on the Quality of Water Resources in Southwestern Nigeria: A Review DOI
Daniel A. Ayejoto, Johnbosco C. Egbueri, Johnson C. Agbasi

и другие.

Springer climate, Год журнала: 2023, Номер unknown, С. 423 - 447

Опубликована: Янв. 1, 2023

Язык: Английский

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

Bishu Karmakar,

Mahesh Kumar Singh,

Bal Krishan Choudhary

и другие.

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

Процитировано

61

Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms DOI
Johnbosco C. Egbueri

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

Опубликована: Май 31, 2022

Язык: Английский

Процитировано

42

Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks DOI
Sani I. Abba, Johnbosco C. Egbueri, Mohammed Benaafi

и другие.

Chemosphere, Год журнала: 2023, Номер 336, С. 139083 - 139083

Опубликована: Июнь 16, 2023

Язык: Английский

Процитировано

39

Assessment of Drinking Water Quality Using Water Quality Index: A Review DOI
Atanu Manna, Debasish Biswas

Water Conservation Science and Engineering, Год журнала: 2023, Номер 8(1)

Опубликована: Янв. 30, 2023

Язык: Английский

Процитировано

28

Arsenic and fluoride exposure in drinking water caused human health risk in coastal groundwater aquifers DOI
Tanmoy Biswas, Subodh Chandra Pal, Asish Saha

и другие.

Environmental Research, Год журнала: 2023, Номер 238, С. 117257 - 117257

Опубликована: Сен. 28, 2023

Язык: Английский

Процитировано

24

HERisk and statistical clustering integrated for health risk modelling of PTEs in natural water resources for drinking and sanitary uses DOI
Johnson C. Agbasi, Daniel A. Ayejoto, Johnbosco C. Egbueri

и другие.

Toxin Reviews, Год журнала: 2024, Номер 43(4), С. 513 - 539

Опубликована: Июль 2, 2024

Potentially toxic elements (PTEs) are well-known for exposing living organisms and humans to different levels of risk. The present study aimed evaluate the extent exposure health risks sustained by inhabitants suburbs across Southeastern Nigeria as a result contaminated water sources. There existing literatures on human risk assessment in region. However, this is first report detailed breakdown faced nine age groups area. This was achieved integrating novel code (HERisk), statistical clustering, quality data. Laboratory analysis showed that PTEs (Fe2+, Ni2+, Cr3+, Pb2+) 53.6%, 17.8%, 3.5%, 46% samples were found be above recommended limits. Aggregated scores ingestion dermal routes revealed children aged 1 2 years most vulnerable hazards. According cumulative carcinogenic values (0.00E+00 2.41E-04), proximal regions with significant activities expose locals high developing cancer via ingestion. Q-mode hierarchical cluster successfully validated classification schemes used interpretation HERisk values, captured patterns dataset, brought forth new perspectives. comprehensive approach can adopted framework ongoing monitoring quality.

Язык: Английский

Процитировано

14

Assessing sources of groundwater quality and health risks using graphical, multivariate, and index techniques from a part of Rajasthan, India DOI
Sangeeta Choudhary,

N. Subba Rao,

Maya Chaudhary

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101356 - 101356

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

12

Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand DOI
Nguyễn Ngọc Thành, Srilert Chotpantarat,

Nguyen Huu Ngu

и другие.

Environmental Research, Год журнала: 2024, Номер 252, С. 118952 - 118952

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

10

Novel Groundwater Quality Index (GWQI) model: A Reliable Approach for the Assessment of Groundwater DOI Creative Commons
Abdul Majed Sajib, Apoorva Bamal, Mir Talas Mahammad Diganta

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104265 - 104265

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Appraising drinking water quality in Ikem rural area (Nigeria) based on chemometrics and multiple indexical methods DOI
Johnbosco C. Egbueri, Chimankpam Kenneth Ezugwu, Peter D. Ameh

и другие.

Environmental Monitoring and Assessment, Год журнала: 2020, Номер 192(5)

Опубликована: Апрель 23, 2020

Язык: Английский

Процитировано

61