Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Olayiwola G. Olaseeni"'
Publikováno v:
ITEGAM-JETIA, Vol 9, Iss 42 (2023)
Soil loss estimation has been carried out using the revised universal soil loss equation (RUSLE) model and geo-spatial technology in the basement complex of Akure, Southwestern Nigeria. The objectives are to predict average annual rate of soil erosio
Externí odkaz:
https://doaj.org/article/d4153fb38ba64f88b620c1c00e83ea92
Publikováno v:
Acta Geophysica. 69:1769-1788
The determination of the physico-mechanical characteristics of rocks is very essential for the planning and implementation of engineering structures as well as for the classification of the rock mass. These physico-mechanical properties are often obt
Publikováno v:
Modeling Earth Systems and Environment. 7:833-852
We integrated hydrogeological and hydrogeophysical parameters to evaluate aquifer vulnerability to contamination in a basement complex terrain in Nigeria. Aeromagnetic and Shuttle Radar Topography Mission (SRTM) data were used to generate the composi
Autor:
Oluseun A. Sanuade, Joel Olayide Amosun, Tokunbo Sanmi Fagbemigun, Olufemi Adigun Alagbe, Olayiwola G. Olaseeni
Publikováno v:
SN Applied Sciences. 2
This research uses geophysical techniques such as magnetic and electrical resistivity tomography to image the lateritic bauxite bearing zones in Orin Ekiti, Southwestern Nigeria. The high-resolution aeromagnetic data were utilized for generating the
Autor:
Oluwaseun Olaoye, Ajibola R. Oyebamiji, Olayiwola G. Olaseeni, Bosede T. Ojo, Ayokunle Adewale Akinlalu
Publikováno v:
FUOYE Journal of Engineering and Technology. 5
This study aimed at evaluating the potential for groundwater development in the eastern part of Ado-Ekiti, Southwestern Nigeria using Vertical Electrical Sounding (VES). Data were acquired with ABEM SAS 300 and processed through partial curve matchin
Autor:
Olayiwola G. Olaseeni, Joel Olayide Amosun, Oluseun Adetola Sanuade, Rasheed Babatunde Adesina, Akindeji Opeyemi Fajana
Publikováno v:
Materials and Geoenvironment, Vol 64, Iss 3, Pp 169-180 (2017)
Artificial neural network (ANN) was used to predict the dry density of soil from its thermal conductivity. The study area is a farmland located in Abeokuta, Ogun State, Southwestern Nigeria. Thirty points were sampled in a grid pattern, and the therm
Autor:
M. I. Oladapo, Olayiwola G. Olaseeni, O. J. Dada, Ajibola R. Oyebamiji, Gbenga Moses Olayanju
Publikováno v:
Journal of Physics: Conference Series. 1299:012068
Over the years, the demand for clean and safe water has skyrocketed globally in response to rising population. Since groundwater is a more reliable source of potable water, assessment of aquifer vulnerability becomes a necessity. This research theref
Publikováno v:
FUOYE Journal of Engineering and Technology. 1
A combined geophysical methods involving very low frequency-electromagnetic, electrical resistivity, magnetics prospecting method and geotechnical investigations were used in delineating the causes of cracks on the buildings of Faculty of Social Scie