Integrating Geographic Information System (Gis) and Remote Sensing (Rs) for Groundwater Resources Prospecting
American Journal of Environmental Science and Engineering
Volume 1, Issue 2, May 2017, Pages: 40-47
Received: Feb. 28, 2017; Accepted: Mar. 25, 2017; Published: Apr. 14, 2017
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Aiyelokun Oluwatobi, Department of Civil Engineering, University of Ibadan, Ibadan, Nigeria
Ogunsanwo Gbenga, Department of Information Communication Technology, Tai Solarin University of Education, Ijagun, Nigeria
Opatoki Ayodeji, Department of Environmental Health Technology, Pogil College of Health Technology, Oke Eri, Nigeria
Agbede Oluwole, Department of Civil Engineering, University of Ibadan, Ibadan, Nigeria
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Groundwater can be effectively managed when reliable information is available for planning purposes. The integration of GIS and RS provides a significant approach for assessing groundwater potentiality. This study assessed the role of GIS and RS in groundwater resources management and planning in Afikpo sub-basin of Nigeria, based on the integration of thematic maps such as geology, slope, lineament, land use/land cover and drainage map of the study area. The study revealed that the groundwater potential zones in the study area had excellent, very good, good, moderate and poor prospects with an aerial extent of 136.31 km2, 1035.44 km2, 1432.26 km2, 472.48 km2 and 13.22 km2 respectively. The large aerial extent of favorable groundwater recharge potentiality in Afikpo sub-basin was found to have been as a result of the high amount of lineaments and the sedimentary geologic environment. The study further showed that for effective water resources management and planning, the integration of GIS and RS, which could serve as decision support tool needs to be adopted effectively in Nigeria.
Groundwater, Remote Sensing, Lineaments, Sedimentary
To cite this article
Aiyelokun Oluwatobi, Ogunsanwo Gbenga, Opatoki Ayodeji, Agbede Oluwole, Integrating Geographic Information System (Gis) and Remote Sensing (Rs) for Groundwater Resources Prospecting, American Journal of Environmental Science and Engineering. Vol. 1, No. 2, 2017, pp. 40-47. doi: 10.11648/j.ajese.20170102.12
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