Zobrazeno 1 - 10 of 23 pro vyhledávání: '"A C, Agbasi"'
1
Akademický článek
Characterizing seasonal, environmental and human-induced factors influencing the dynamics of Rispana River's water quality: Implications for sustainable river management
Autor: Sushmita Bhatt, Arun Pratap Mishra, Naveen Chandra, Himanshu Sahu, Shardesh Kumar Chaurasia, Chaitanya B. Pande, Johnson C. Agbasi, Mohd Yawar Ali Khan, Sani I. Abba, Johnbosco C. Egbueri, Bojan Đurin, Julian Hunt
Publikováno v: Results in Engineering, Vol 22, Iss , Pp 102007- (2024)
This study will comprehensively evaluate the Rispana River's aquatic environment from February to June 2021, integrating physicochemical, biological, and hydrological data. Key objectives include identifying pollution sources, assessing climate chang
Externí odkaz: https://doaj.org/article/bee010df962d4126a39b7b91ed65dfdc
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2
Akademický článek
Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics
Autor: Johnbosco C. Egbueri, Johnson C. Agbasi, Daniel A. Ayejoto, Mohammad Imran Khan, Mohd Yawar Ali Khan
Publikováno v: Geocarto International, Vol 38, Iss 1 (2023)
The majority of people living on earth rely on groundwater as their primary supply of water for daily needs. However, human activities continuously threaten this natural resource. In an attempt to unravel the extent of the impact of human-related act
Externí odkaz: https://doaj.org/article/26f29e76fe054681b8c175f611ff45df
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3
Akademický článek
Evaluation of oral and dermal health risk exposures of contaminants in groundwater resources for nine age groups in two densely populated districts, Nigeria
Autor: Daniel A. Ayejoto, Johnson C. Agbasi, Johnbosco C. Egbueri, S.I. Abba
Publikováno v: Heliyon, Vol 9, Iss 4, Pp e15483- (2023)
Human health and the sustainability of the socioeconomic system are directly related to water quality. As anthropogenic activity becomes more intense, pollutants, particularly potentially harmful elements (PHEs), penetrate water systems and degrade w
Externí odkaz: https://doaj.org/article/ad7939101525494bbe87467d9a843e2e
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4
Akademický článek
Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils
Autor: Johnbosco C. Egbueri, Ogbonnaya Igwe, Michael E. Omeka, Johnson C. Agbasi
Publikováno v: Geosystems and Geoenvironment, Vol 2, Iss 1, Pp 100104- (2023)
Soft computing techniques, such as artificial neural network (ANN) and multiple linear regression (MLR), have been found useful in the predictive modeling of environmental hazard indicators, even in areas with data scarcity. The detachability and liq
Externí odkaz: https://doaj.org/article/be8e6543bddb487fb4fd07bae1c228f0
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5
Nitrate health risk and geochemical characteristics of water in a semi-urban: implications from graphical plots and statistical computing
Autor: J. C. Egbueri, J. C. Agbasi, C. F. Ikwuka, O. I. Chiaghanam, M. I. Khan, M. Y. A. Khan, N. Khan, H. C. Uwajingba
Publikováno v: International Journal of Environmental Analytical Chemistry. :1-21
The aim of this study was to assess the nitrate health risks due to water consumption via oral and dermal contact routes and to evaluate the geochemical characteristics of waters in the Umunya area, Nigeria, as implied from ionic ratios, graphical pl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b284bab696e08c662ccc6ba4fa811f6a
https://doi.org/10.1080/03067319.2023.2206022
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