Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kehinde Anthony Mogaji"'
Publikováno v:
Applied Water Science, Vol 14, Iss 2, Pp 1-26 (2024)
Abstract This study modeled geophysical derived parameters and multi-critically synthesized their themes based on geospatial and analytical hierarchy processes (AHP) approaches for groundwater potentiality prediction mapping. These methodologies were
Externí odkaz:
https://doaj.org/article/56ddfe464429439ab26decbeb2e88a15
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e18371- (2023)
This study involved a comparative analysis in the groundwater vulnerability domain, which is a crucial component of groundwater management decision support systems (DSS). This was achieved by creating models that covered the range of algorithms from
Externí odkaz:
https://doaj.org/article/b09a06ecbf234908ab5a9bdaa1ae203e
Autor:
Kehinde Anthony Mogaji
Publikováno v:
Applied Water Science, Vol 8, Iss 5, Pp 1-24 (2018)
Abstract The sustainability management of groundwater resource globally is challenged by its vulnerability to pollution resulting from anthropogenic activities. In order to address this problem, the DRASTIC index model (DIM) method among the existing
Externí odkaz:
https://doaj.org/article/2796b3c505154b3aab29c21690868f51
Autor:
Kehinde Anthony Mogaji
Publikováno v:
Journal of Taibah University for Science, Vol 10, Iss 4, Pp 584-600 (2016)
This study developed a GIS-based multivariate regression (MVR) yield rate prediction model of groundwater resource sustainability in the hard-rock geology terrain of southwestern Nigeria. This model can economically manage the aquifer yield rate pote
Externí odkaz:
https://doaj.org/article/045e19fda4b946f49de6d7e5030db37c
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 28, Iss 3, p 479 (2017)
This study conducted a robust analysis on acquired 2D resistivity imaging data and borehole pumping test records to optimize groundwater potentiality mapping in Perak province, Malaysia using derived aquifer hydraulic properties. The transverse resis
Externí odkaz:
https://doaj.org/article/dd62ab0a12604488b9cdfdb9a47f6057
Publikováno v:
Acta Geophysica.
This work looks at developing an object-driven decision support system (DSS) model with the goal of improving the prediction accuracy of the present expert-driven DSS model in assessing groundwater potentiality. The database of remote sensing, geolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2425fd8c7547bff39f79918589bc90f
https://doi.org/10.1007/s11600-023-01095-4
https://doi.org/10.1007/s11600-023-01095-4
Publikováno v:
Sustainable Water Resources Management. 7
The spatial prediction of how aquifers store and transmit sufficient groundwater in subtle hydrogeological conditions typical of crystalline basement complex is quite challenging. This study explored diverse methodologies including remote sensing, ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1effb5af1befcaf57013b72137c17c2
https://doi.org/10.1007/s40899-021-00538-4
https://doi.org/10.1007/s40899-021-00538-4
Autor:
Hwee San Lim, Kehinde Anthony Mogaji
Publikováno v:
Modeling Earth Systems and Environment. 6:183-199
In this study, the efficacy of the linear regression modeling technique in the company of recharge rate-induced geophysical parameters was implemented through geographical information system to establish the essentiality of geology factor in recharge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecbfaa46f994c6cb1583aa5bf08d9f66
https://doi.org/10.1007/s40808-019-00670-3
https://doi.org/10.1007/s40808-019-00670-3
Publikováno v:
Environmental Monitoring and Assessment. 193
Developing a predictive decision model for assessing the vulnerability of hidden groundwater reservoir formation to contamination risk via unavoidable anthropogenic activities is a key to managing water resources looming security crisis globally. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f945cc6c375d27ce85fb81edffeba342
https://doi.org/10.1007/s10661-021-08960-z
https://doi.org/10.1007/s10661-021-08960-z
Autor:
Hwee San Lim, Kehinde Anthony Mogaji
Publikováno v:
NRIAG Journal of Astronomy and Geophysics, Vol 7, Iss 1, Pp 134-148 (2018)
The application of a GIS – based Dempster – Shafer data driven model named as evidential belief function EBF- methodology to groundwater potential conditioning factors (GPCFs) derived from geophysical and hydrogeological data sets for assessing g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db4294df549fbff9788d0ae4ed0d4eec
http://www.sciencedirect.com/science/article/pii/S209099771730130X
http://www.sciencedirect.com/science/article/pii/S209099771730130X