Research output: Contribution to journal › Article › peer-review
Lithostratigraphic identification using 3D geophysical/hydrogeological modeling for monitoring the aquifer's vulnerability to contamination in El-Oweinat, Egypt. / El-Meselhy, Ahmed; Mitrofanov, Georgy; Nayef, Alaa.
In: Egyptian Journal of Remote Sensing and Space Science, Vol. 25, No. 4, 12.2022, p. 887-901.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Lithostratigraphic identification using 3D geophysical/hydrogeological modeling for monitoring the aquifer's vulnerability to contamination in El-Oweinat, Egypt
AU - El-Meselhy, Ahmed
AU - Mitrofanov, Georgy
AU - Nayef, Alaa
N1 - Funding Information: The first author is funded by a scholarship No. EGY 6827/19 under the joint executive program between the Ministry of Higher Education of the Arab Republic of Egypt and the Ministry of Science and Higher Education of the Russian Federation . The authors are grateful to the Department of Geophysics, Novosibirsk State University for its Laboratory that is equipped with the latest version of Petrel software and for allowing the first author to attend several online courses with Schlumberger Company to learn and practice on Petrel software. Publisher Copyright: © 2022 National Authority of Remote Sensing & Space Science
PY - 2022/12
Y1 - 2022/12
N2 - The integration between advanced techniques for groundwater vulnerability to contamination is necessary for groundwater management and risk assessment for aquifer systems. 3D geophysical/hydrogeological modeling has been developed for the delineation of lithostratigraphic layers of the Nubian Sandstone aquifer system based on geophysical and hydrogeological borehole data for 79 groundwater wells with a distance of 1 km between each well in the study area of El-Oweinat. Several parameters contributing to groundwater vulnerability have been selected and represented in 3D views as follows: surface elevation; water table; unsaturated and saturated thicknesses; laminar head losses; turbulent head losses; total drawdown; specific capacity; aquitard and aquifer thicknesses to monitor the aquifer vulnerability to contamination using Petrel software. This integration of lithostratigraphic layers and aquifer parameters (e.g. water depth) can significantly help to delineate and understand both the water pathway and attenuation processes caused by the aquitard layers, which serve as a protective layer for the underlying aquifer layers. 3D modeling of the aquifer system allows the decision-maker to visualize and deal with the issue of contamination as quickly as possible.
AB - The integration between advanced techniques for groundwater vulnerability to contamination is necessary for groundwater management and risk assessment for aquifer systems. 3D geophysical/hydrogeological modeling has been developed for the delineation of lithostratigraphic layers of the Nubian Sandstone aquifer system based on geophysical and hydrogeological borehole data for 79 groundwater wells with a distance of 1 km between each well in the study area of El-Oweinat. Several parameters contributing to groundwater vulnerability have been selected and represented in 3D views as follows: surface elevation; water table; unsaturated and saturated thicknesses; laminar head losses; turbulent head losses; total drawdown; specific capacity; aquitard and aquifer thicknesses to monitor the aquifer vulnerability to contamination using Petrel software. This integration of lithostratigraphic layers and aquifer parameters (e.g. water depth) can significantly help to delineate and understand both the water pathway and attenuation processes caused by the aquitard layers, which serve as a protective layer for the underlying aquifer layers. 3D modeling of the aquifer system allows the decision-maker to visualize and deal with the issue of contamination as quickly as possible.
KW - 3D modeling
KW - Groundwater vulnerability
KW - Nubian Sandstone Aquifer System (NSAS)
UR - http://www.scopus.com/inward/record.url?scp=85139058777&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/8a1e8d00-7ec1-397b-a696-3e114a2f016a/
U2 - 10.1016/j.ejrs.2022.09.003
DO - 10.1016/j.ejrs.2022.09.003
M3 - Article
AN - SCOPUS:85139058777
VL - 25
SP - 887
EP - 901
JO - Egyptian Journal of Remote Sensing and Space Science
JF - Egyptian Journal of Remote Sensing and Space Science
SN - 1110-9823
IS - 4
ER -
ID: 38138125