Wahab Salau
Department of Geography, Faculty of Humanities, Management and Social Sciences, Federal University of Kashere, PMB 0182, Gombe State, Nigeria

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HYDRO-GEOMORPHIC FACTORS AND THE POTENTIAL OF HYDROKINETIC POWER PRODUCTION UPSTREAM OF IKERE GORGE DAM, NIGERIA Wahab Salau; Paul Ifatokun Ifabiyi
Geosfera Indonesia Vol. 4 No. 1 (2019): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v4i1.9511

Abstract

The operation of hydrokinetic turbine depends on river flow and pressure head (∆H) which are of high potential in many parts of Nigeria. This study attempts the analysis of the potential of the area upstream of Ikere Gorge dam for hydrokinetic potential. Soil and Water Assessment Tool (SWAT) was used to determine the hydrological parameters of the sub-basins. Pearson Moment Correlation and linear regression methods were used to find the relationships between morphometric properties and the discharge parameters. Hydrological modeling and statistical computations were done to estimate the theoretical potential of the catchment. The result shows that River Oshe has 9.542 MW, which is the highest potential while River Konsun with 1.161 MW has the lowest potential Pearson Moment Correlation shows that there is strong positive relation of 0.7 between slope and pressure head (∆H) at 0.05 significant levels. The result of the multiple regression show that hydro-geomorphic factors explained 59.1% of the variance in the explanation of hydrokinetic power potential upstream of Ikere gorge dam. References Alaska Center for Energy and Power (ACEP) (2011). Hydrokinetic energy (In-River, Tidal and Ocean Current), Retrieved from http://energy-alaska.wikidot.com/ on April 20th, 2014 Aschenbrenner, F. (2008). Innovation on traditional waterwheels for renewable energy // Power electronics and motion Control conference, Portoroz, Slovenia, pp.1625 Bahleda, M., and Hosko, M. A. (2007). Assessment of water power potential and development Needs: Electric power research institute, California Bhattacharya, A.K., and Bolaji, G.A. (2012). Fluid Flow Interactions in Ogun River, International Journal of Research and Reviews in Applied Sciences, 2 (2): 22-23. Electric Power Research Institute, EPRI (2012). Fish passage through turbine: Application of convectional hydropower data to hydrokinetic technology Palo Alto, USA Energy Information Administration (2014). Retrieved on Dec. 20th, 2014 from www.eia.gov/electricity Epler, J. (2010). Tidal Resources characteristics from acoustics Doppler current profiler, An Unpublished M.Sc.Thesis, Department of Mechanical Engineering, University of Washington, USA Evan, M. (2012). Hydrokinetic Power: An Analysis of Its Performance and Potential in the Roza and Kittas Canals. An Unpublished M. Sc. Thesis, the Evergreen State College, USA Ifabiyi, I.P. and Wahab, S. (2017). Theoretical potential of hydrokinetic energy in the Upper Ogun and Upper Kaduna River basins, Nigeria. Journal of Sustainable Development in Africa, 19 (1): 242-256. Clarion University of Pennsylvania, Clarion, USA. ISSN: 1520-5509. Jsd-africa@clarion.edu Kosnik, L. (2008). The Potential of Water Power in the Fight against Global Warming in the USA, Energy policy, doi: 10.1016/ J. enpol. (05), 009. Kusakana, K., and Vermaak, H. J. (2013). Hydrokinetic Power Generation for Rural Electricity Supply: Case of South Africa. Renewable Energy, 1 (55): 467-73. Ladokun, L.L., Ajao, K.R., and Sule, B.F. (2013). Hydrokinetic Energy Conversion System: Pros -pects and Challenges in Nigerian Hydrological setting, Nigerian Journal of Technology, 3 (32): 538-549. Miller, V.B, Ramde, E.W., Grandoville, R.T., and Schaefer, L.A. (2010). Hydrokinetic Power for Energy Access in Rural Ghana, Renewable Energy International Journal, 1(36): 671-675. Mohibullah, M., Radzi, A. M., and Hakim, M.I.A. (2004). Basics Design Aspects of Micro Hydropower Plant and Its Potential Development in Malaysia // Power and Energy Conference, Kualar Lumpur, pp. 220-223. Neitsch, S.L, Arnold, J.G., Kiniry, J.R and Williams, J.R. (2009). Soil and Water Assessment Tool Theoretical Documentation Version 2009 Grassland, Soil and Water Research Laboratory-Agriculture Research Service, Blackland Research Center- Texas Agrilife Research., USA. Ofuani, A.I. (2013). Combating climate change through renewable energy legislation in Nigeria: Prospects and Challenges. Paper Presented at university of Ilorin/ UCC (Ghana) International Conference held at university of Ilorin. May 1st-4th 2011. Stephen, V.A, Paul, T.A., and Daniel, J.G. (2012). Survival and Behaviour of Fish interacting With Hydrokinetic Turbines, 9th ISE, Vienna, USA Vermaak, H.J., Kusakana, K., and Koko, S.P. (2013). Status of Micro-hydrokinetic River Technology in Rural Applications: A Review of literature: Renewable and sustainable energy reviews, 29(14): 625-633. Wahab, S., Ifabiyi, I.P. and Adeogun, A.G. (20017). SWAT analysis of Ikere Gorge Basin for Hydrokinetic power estimation in selected rural settlement of Oke Ogun, Nigeria. Ruhuna Journal of Science. 8(2):24-43 Ruhuna, Faculty of Science, University of Ruhuna, Sri Lanka. eISSN: 2536-8400. DOI: http//:doi.org/10.4038/rjs.v8il. Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Water Poverty Assessment in Olorunsogo Local Government Area of Oyo State, Nigeria P. I. Ifabiyi; B. Oladele; Wahab Salau
Geosfera Indonesia Vol. 5 No. 1 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i1.13438

Abstract

Poor access to water is often linked to poverty, human welfare, health, nutritional status, and household labour. This paper is aimed at contributing to the debate surrounding water poverty in the rural areas. Primary data obtained covering water resources, access, capacity, uses, and environment were collected using closed-ended questionnaires. Altogether, 370 household heads were sampled and were selected by systematic random sampling technique. Multiple correlations, factor analysis and multiple regression methods were used to determine the level of relationship between the Water Poverty Index (WPI) components. The results revealed that: WPI is the highest in Elenke/Sagbo (72.3%) and the lowest in Onigbeti II/Sagbon (55.5%). Also, WPI has a strong positive relationship with resources (r = .656), capacity (r = .705) and environment at 95%. Percentages of explanations of WPI ranges from 86.45% in Onigbeti I to 50.99% in Aboke.The results of multiple regression between WPI and components showed that components were weak predictors in 5 wards (Onigbeti III &IV, Onigbeti II , Onigbeti I, Seriki Agbele Aboke and Abogun wards). The paper posits that access to water in Olorunsogo Local Government Area (LGA) is generally reasonable. The paper suggests stronger government presence to improve and sustain the level of access. Keywords : Water Poverty; Access; Capacity; Uses; Environment; Resources; Factor Analysis Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License