Abstract. The issue of power generation is the bane of rural development. Power availability will not only raise standard of living but will also enhance people livelihood. This work examines the application of soil and water Assessment Tool (SWAT) in hydrological analysis of upper catchment of Ikere Gorge Basin for hydrokinetic energy estimation. The operation of hydrokinetic turbines depends on river flow and pressure head (∆H). SWATGIS system was used to determine the hydrological parameters of the sub-basins. SWAT is a version of ArcGIS Software. The result of the analysis was used to estimate the theoretical hydrokinetic power potential of the selected basins. The total theoretical hydrokinetic energy potential of the 10 basin selected was estimated as 36.4 MW. Potential hydrokinetic energy was computed using a theoretical procedure, assuming a head of 0.3 meters and a constant weight of water at 9800 n/m³. The hydrokinetic energy potential was highest in Oshe at Onikankan (9.542 MW) and lowest in Kojuoba at Olonje (0 MW). The SWAT software was later used to create Geo-database for each catchment of Hydrologic Response Unit (HURs) of the basin under study. A spatial structured query language (SSQL) was used to perform query analysis on the potential of the sites selected for hydrokinetic energy estimation.
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. The result shows that higher discharge is a function of more hydrokinetic energy that can be produced in the Basins. It is therefore expected that the variation in hydro geomorphic properties of the Basin will not affect substantial amount of hydrokinetic energy that can be produced from upstream of the basin under study. Hence, further work is expected to be replicated in some potential basins, across the country, for Hydrokinetic power production.
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
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