Zobrazeno 1 - 7
of 7
pro vyhledávání: '"D. O. Ugbor"'
Publikováno v:
International Journal of Environmental Science and Technology. 16:8129-8140
Geoelectric survey integrated with physicochemical method of water analysis was used to investigate the aquifer repositories in Njaba, Imo State, eastern Nigeria. This was done in 15 locations using vertical electrical sounding (VES) employing Schlum
Publikováno v:
Arabian Journal of Geosciences. 14
Scarcity of drinking water has been a major challenge in Edem, southeastern Nigeria. Thus, an electrical resistivity study was carried out in twenty-one locations across Edem, employing vertical electrical sounding. The study aims at investigating gr
Publikováno v:
Applied Water Science, Vol 10, Iss 10, Pp 1-14 (2020)
Electrical resistivity survey employing vertical electrical sounding was carried out in Oraifite, Southeastern Nigeria, involving a total of twenty soundings across, in order to assess the groundwater potential and the aquifer vulnerability in Oraifi
Publikováno v:
SN Applied Sciences. 2
Aeromagnetic data of Gubio area, Chad Basin, northeastern Nigeria, were interpreted quantitatively by employing spectral analysis technique with the aim to estimate the Curie point depth, geothermal gradient and heat flow in order to determine the ge
Autor:
Francisca N. Okeke, D. O. Ugbor
Publikováno v:
Journal of the Geological Society of India. 89:344-350
Electrical conductivity structure of the Earth’s deep interior has been successfully mapped out down to approximately 1500 km around the geomagnetic dip equatorial regions of Africa using solar quiet-day ionospheric currents. Spherical harmonic ana
Publikováno v:
Journal of African Earth Sciences. 116:81-88
The solar quiet day ionospheric (Sq) current variations observed in Abuja, Bangui and Addis Ababa were used to delineate the mantle conductivity-depth structure along the equatorial African regions. Spherical harmonic analysis (SHA) was employed in s
Publikováno v:
International Journal of Physical Sciences. 8:83-88
Weibull distribution is often invoked to interpret and predict wind characteristics needed for effective design of wind power systems for different locations. In this paper, daily average wind data for Enugu (6.4°N; 7.5°E), Onitsha (6.8°N; 6.1°E)