The study demonstrated that spatial analysis with relevant socio-economic sources and physical parameter from different sources can be evaluated for the filling station sites planning. This has demonstrated the importance of Geographic Information System (GIS) application in predicting and determining of site criteria for filling stations facilities development, most especially in areas where there is land uses competition which requires consumer accessibility, sustainability, environmental safety, environmentally sensitive development solutions, etc. A stratified sampling technique was used to select the sample size and administration of the questionnaire. The data collected was analyzed using descriptive statistics such as frequency distribution, bar chart, pie chart and percentage and maps showing the sampled existing filling stations in the study area. The result shows the distribution of filling stations located across the study area. This study shows that GIS and multi-criteria analysis are essential tools to assist in correct siting to national planners and decision-makers in deciding the most appropriate filling stations location pattern to apply in Minna and its environs. Keywords: GIS, filling stations, spatial distribution, location, distance. References Aklilu, A., & Necha, T. (2018). Analysis of the spatial accessibility of addis Ababa’s light rail transit: The case of East–West corridor. Urban Rail Transit, 4(1), 35-48. doi:10.1007/s40864-018-0076-6 Dhiman, R., Kalbar, P., & Inamdar, A. B. (2019). Spatial planning of coastal urban areas in india: Current practice versus quantitative approach. Ocean and Coastal Management, 182 doi:10.1016/j.ocecoaman.2019.104929 Tah, D.S (2017). GIS-based locational analysis of Petrol filling stations in Kaduna metropolis: Science World Journal, Vol 12(2): 8-12.  Emakoji, M.A., and Otah K.N (2018). Managing Filling Stations Spatial Database  using an innovative GIS tool- a case study of Afipko City in Nigeria: Asian Journal of Geographical Research, 1(2):1-9, 2018 Jahangiri, M., Ghaderi, R., Haghani, A., & Nematollahi, O. (2016). Finding the best locations for establishment of solar-wind power stations in middle-east using GIS: A review. Renewable and Sustainable Energy Reviews, 66, 38-52. doi:10.1016/j.rser.2016.07.069 Jelokhani-Niaraki, M., Hajiloo, F., & Samany, N. N. (2019). A web-based public participation GIS for assessing the age-friendliness of cities: A case study in tehran, iran. Cities, 95 doi:10.1016/j.cities.2019.102471 Loidl, M., Witzmann-Müller, U., & Zagel, B. (2019). A spatial framework for planning station-based bike sharing systems. European Transport Research Review, 11(1) doi:10.1186/s12544-019-0347-7 Ma, Y., & Gopal, S. (2018). Geographicallyweighted regression models in estimating median home prices in towns of massachusetts based on an urban sustainability framework. Sustainability (Switzerland), 10(4) doi:10.3390/su10041026 Maanan, M., Maanan, M., Rueff, H., Adouk, N., Zourarah, B., & Rhinane, H. (2018). Assess the human and environmental vulnerability for coastal hazard by using a multi-criteria decision analysis. Human and Ecological Risk Assessment, 24(6), 1642-1658. doi:10.1080/10807039.2017.1421452 Khahro, S. H., Matori, A. N., Chandio, I. A., & Talpur, M. A. H. (2014). Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS. Procedia Engineering, 77, 28–36. doi:10.1016/j.proeng.2014.07.024 Mustapha, O.O (2016). Assessment of filling stations in Illorin, Kwara State, Nigeria using Geospatial technologies, IJSRCSEIT vol 1(2) 69-73, 2016 Naboureh, A., Feizizadeh, B., Naboureh, A., Bian, J., Blaschke, T., Ghorbanzadeh, O., & Moharrami, M. (2019). Traffic accident spatial simulation modeling for planning of road emergency services. ISPRS International Journal of Geo-Information, 8(9) doi:10.3390/ijgi8090371 Peprah (2018). Suitability analysis of siting oil and gas filling station using multi-criteria decision analysis and GIS approach- a case study of Tarkwa and environs- Ghana: Journal of Geomatics, vol 12(2): 158-166, 2018 Sacramento Gutierres, F., Torrente, A. O., & Torrent-Moreno, M. (2019). Responsive geographical information systems for spatio-temporal analysis of mobile networks in barcelona. Architecture, City and Environment, 14(40), 163-192. doi:10.5821/ace.14.40.5349 Vaz, E., Lee, K., Moonilal, V., & Pereira, K. (2018). Potential of geographic information systems for refugee crisis: Syrian refugee relocation in urban habitats. Habitat International, 72, 39-47. doi:10.1016/j.habitatint.2017.02.001   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

This study examined impact of climate variability on reservoir-based hydro-power-generation in Jebba dam, Niger State of Nigeria. Data of rainfall, temperature, evaporation, reservoir inflow and outflow and power output for thirty-one years were obtained from Jebba Hydropower Station [JHP]. The Man-Kendall and Pearson’s Product Moment Correlation Coefficient (PPMCC) were used to establish the influence of weather parameters on the reservoir inflow and outflow. Findings showed increased electricity generation during dry season than wet season. The highest annual mean amount of the electricity generated was in 2016 having mean of 689.12mwh, dry season (352.26mwh) and wet season (336.86mwh). Reservoir inflow showed negative trend with severe fluctuations in 1998 (1436.42M3/Sec), 1999 (1581.08M3/Sec) and 2010 (1641.08M3/Sec) with steady increase in 2016 (1556.0042M3/Sec), 2017 (1556.4242M3/Sec) and 2018 (1635.7542M3/Sec). The reservoir outflow pattern showed tremendous and negative trend in fluctuation with increase in 1998 (1421.75M3/Sec) 1999 (1581.58M3/Sec) and 2010 (1641.16M3/Sec) and a steady increase in 2016 (1535.00M3/Sec), 2017 1558.83M3/Sec and 2018 (1632.00M3/Sec). Thus, rainfall and reservoir inflow had strong relationships with the amount of power generated than temperature and evaporation. Therefore, the government should increase the water carrying capacity of the reservoir construction by storing water to be used during dry periods.

This study examined the characterization of climatic parameters and river flow capacity on electricity generation in Jebba Dam, Nigeria. It is a known fact that climatic parameters of rainfall, temperature and evaporation have the capacity to influence reservoir inflow and outflow as well as hydropower generation. The study collected secondary data of climatic parameters, reservoir inflow and outflow as well as hydropower generation from Mainstream Energy Solution Limited in 2018. The data were analyzed using averages and represented in graphs and charts. The results showed that there was rise in power generation from July to December with November having the highest power generation of 432.5MWH. Reservoir inflow and outflow rose from July to December with September having the highest discharge of 4860m3/sec inflow and 4858 m3/sec outflow. There was noticeable rise in rainfall pattern from May to November with September having the highest rainfall regime of 330.4mm in the Jebba river basin. However, February and November had the highest temperature regime of 360C each in the Jebba river basin. The highest evaporation rate was recorded in March having 25m3/sec during the period. Finally, the study has revealed the effects of these climatic parameters on the reservoir flow and hydropower generation in the Jebba dam. Therefore, the government should strictly consider the phenomenon of climate change as it affects hydroelectric power generation in Nigeria without further delay.