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| Paper Type | : | Research Paper |
| Title | : | Groundwater prospecting and Aquifer Delineation using Vertical Electrical Sounding (VES) method in the Basement complex terrain of Kumbotso Local Government Area of Kano state Nigeria |
| Country | : | Nigeria |
| Authors | : | Yelwa N.A. || Hamidu H. || Falalu B.H. || Kana M.A. || Madabo I. M. |
Abstract:A total of twenty seven (27) vertical electrical soundings (VES) where carried out on the basement complex area of Kumbotso Local Government Area of Kano with a spread of 40m-45m adopted. The results obtained revealed three to four geo-electric layers of the subsurface. The third weathered basement and a forth fractured basement rock constitutes the Aquiferous water bearing layers with resistivity ranges from 6Ωm -265Ωm respectively with average thickness of 19m and 15m respectively. The result shows the weathered regolith to be thicker than the fractured bedrock layer; average depth range of boreholes in the area is between 30m-35m while the average static water levels in dug wells is 8.3m. It is highly recommended that a spread of between 75-85m be used in the future and also the use of EM method to locate deep fractures as important in maximizing the borehole yield.
Keywords: Vertical Electrical Sounding, Weathered regolith, fractured bedrock, Geoelectric, Borehole failure, Schlumberger array, Kumbotso, Kano Stat
[2]. Auwalu L.Y. and Abubakar Y.I. (2012). Application of Resistivity Sounding in Groundwater Investigation. A Case Study of Rimin Godo and Tofa Local Government Areas of Kano State. Nigeria Public IOSR Journal of Applied Physics (IOSR-JAP) Vol. 2 Issues 1 pp 14-18.
[3]. Bala, A.E., Eduvie, O.M. and Byami, J. (2011). Borehole depth and regolith aquifer hydraulic characteristics of bedrock types of Kano Area Northern Nigeria. African Journal of Environmental Science and Technology 5(3): 228-237.
[4]. Beeson, S. and Jones C.R.C. (1988). The combine EMT/VES Geophysical method for sitting boreholes. Groundwater, 26 1 54-63.
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| Paper Type | : | Research Paper |
| Title | : | Geotechnical Investigation of Soil around Arawa-Kundulum Area of Gombe Town, North-Eastern Nigeria, Nigeria |
| Country | : | Nigeria |
| Authors | : | M.W. Sidi || A.B. Thaffa || A.B. Garga |
Abstract:This Project work involves the investigation of soil at Arawa- Kundulum area in Gombe town of North Eastern Nigeria. The study area is a newly developing part of Gombe town but has been defaced by cracks on buildings, and this calls for appropriate geotechnical investigation of soils of the area. Soil samples were collected from eight (8) different locations within the study area. At each trial pit, four (4) samples were collected at intervals of 0.5m, 1.0m, 1.5m and 2.0m depths below ground level and were investigated for their Geotechnical properties with a view to classifying for their suitability or otherwise for infrastructural development.
[2]. Guiraud, M. (1990). Tectono Sedimentary Framework of the Early Cretaceous continental Bima Formation. Upper Benue Trough, North-eastern Nigeria. Journal of Africa Earth Sciences. 111, 341-353.
[3]. Carter, I.D, Barber, W and Tait, E.A, The Geology of parts of Adamawa, Bauchi, Gombe and Borno provinces in Northeastern Nigeria, (Bullet in Geological Survey of Nigeria. No 30, 1963).
[4]. Wright, J.B, Origin of the Benue Trough. In Geology of Nigeria. C.A Kogbe (Ed) Elizabethan Pub.Co.
[5]. Allix, C, The Benue trough Structure and Evolution (172 – 201, 1983).
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| Paper Type | : | Research Paper |
| Title | : | A Survey on Landslide Susceptibility Mapping Using Soft Computing Techniques |
| Country | : | India |
| Authors | : | Sonam Lhamu Bhutia || Prof. (Dr). Ratika Pradhan || Prof.(Dr) M.K Ghose |
Abstract: Landslide is a common phenomenon especially in tectonically fragile and sensitive mountainous terrain which causes damage to both human lives and environment. The complex geological setting of the areas in the mountainous region makes the land highly susceptible to landslides. Hence, landslide susceptibility mapping is an important step towards landslide hazard and risk management. The accurate prediction of the occurrence of the landslide is difficult and in the recent years various models for landslide susceptibility mapping has been presented. GIS is a key factor for the modeling of landslide susceptibility maps. This paper presents the review of ongoing research on various landslide susceptibility mapping techniques in the recent years.
Keywords: Artificial Neural Network , Fuzzy Logic, GIS, Landslide, Susceptibility Mapping, Support Vector Machine
[2]. Nagarajan, R, Mukherjee, A , Roy A, Khire M, "Temporal remote sensing data and GIS application in landslide hazard zonation of part of Western Ghat, India." Int. J. Rem. Sens. 19(4), 573–585 (1998).
[3]. Fu Yixiang1, Yuan Tao2 & Gao Lan3 "The prediction of local landslide based on GIS and neural networks ", The Geological Society of London 2006.
[4]. H. Shahabi1, B.B. Ahmad2, and S. Khezri3 "Land-slide Susceptibility Mapping Using Image Satellite and GIS Technology". International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 6, August - 2012 ISSN: 2278-0181.
[5]. Naithani A. K "The Himalayan Landslides" Employment News, 23(47), 20-26 February, 1-2, (1999).
[6]. Hamid Reza Pourghasemi1, Abbas Goli Jirandeh2, Biswajeet Pradhan3 et.al. "Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran", J. Earth Syst. Sci. 122, No. 2, April 2013, pp. 349–369 c Indian Academy of Sciences.