Browsing by Author "Salami, A.W"
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Item Assessment of Neural Networks Performance in Modeling Rainfall Amounts(Department of Forestry, Wildlife and Range Management, University of Agriculture, Makurdi, Nigeria, 2017-03) Abdulkadir, T.S.; Salami, A.W; Aremu, A.S.; Ayanshola, A.M.; Oyejobi, D.O.This paper presents the evaluation of performance of Neural Network (NN) model in predicting the behavioral pattern of rainfall depths of some locations in the North Central zones of Nigeria. The input to the model is the consecutive rainfall depths data obtained from the Nigerian Meteorological (NiMET) Agency. The neural networks were trained using neural network toolbox in MATLAB with fifty years (1964–2014) total monthly historical data of five locations while two other locations, Abuja and Lafia with twenty-nine years (1986-2014) and eleven years (2004-2014) total monthly data respectively. Analysis showed the variation in the values of correlation coefficients (R) for each location of the study area in response to change in number of hidden neurons. The average R values of 0.80, 0.62, 0.65, 0.67, 0.79, 0.76 and 0.81 with corresponding mean square errors of 2.12, 0.23, 0.26, 0.36, 2.61, 1.18 and 1.03 were obtained for Abuja, Makurdi, Ilorin, Lokoja, Lafia, Minna and Jos respectively. The results showed some slight variability in the performances of NN due to changes in the number of hidden neurons during the network training. These values of R indicated that the networks are fit to be used for the subsequent quantitative prediction of rainfall depths in each location which is useful for safeguarding against future flood and drought occurrence in the North Central zone, Nigeria.Item Assessment of Water Consumption Pattern in Ilorin, Kwara State, Nigeria(Faculty of Engineering and Technology, Ladoke Akintola University of Technology, Ogbomoso, Nigeria, 2012) Ayanshola, A.M.; Salami, A.W; sule, B.F.Item Development of storm hydrographs for the rivers within drainage network in Kwara State, Nigeria using Snyder’s method(Faculty of Engineering and Technology, University of Ilorin, Nigeria, 2010) Ayanshola, A.M.; Salami, A.W; Olofintoye, O.O.; Abdulkadri, T.S.Item Evaluation of municipal solid waste management system and willingness to pay for its improvements in Ilorin, Kwara State, Nigeria.(Nigerian Journal of Technology (NIJOTECH), published by Faculty of Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria., 2015) Ayanshola, A.M.; Aremu, A.S.; Jacob, S.O.,; Bilewu, S.O.; Salami, A.WItem Geoinformatics Approach to Water Allocation Planning and Prognostic Scenarios Sustainability: Case Study of Lower Benue River Basin, Nigeria(Springer, Cham, 2020) Abdulmalik, Z.; Salami, A.W; Bilewu, S.O; Ayanshola, A.M.; Amoo, O.T.; Abdultaofeek, A.; Agbedabi, I.E.Water allocation planning in an equitable and sustainable way is intrinsically complex. This study proposes a water resource allocation system using an integrated Soil and Water Assessment Tool and Water Evaluation and Planning tool (SWAT-WEAP) model for hydrological simulation and prognostic scenarios sustainability prediction. The study explores the use of Digital Elevation Model (DEM), soil and land raster image in deriving physiographic information for land degradation impact assessment, quantification of optimal water allocation and generation of minimum ecosystem water requirement. Consequently, the SWAT quantifies the catchment water yield before been allocated optimally based on percentage dependable flow rates of 70% and 85% reliability flow regime at Makurdi, Nigeria discharge station. The WEAP model assesses the water resources utilization following scenarios adaptation by riparian users. Both models performed satisfactorily for streamflow and water yield prediction and resource sharing both in the calibration and validation phases with a correlation coefficient (R2) of 0.57–0.74 and root squared error (RSR) of 0.66–0.82. The results show how drainage network, channel length, drainage boundary, slope, and sub-catchment geometric properties demonstrate Geographic Information Systems (GIS) utility in morphoclimatic impacts assessment as a data management, scenario analysis, and decision support tool in water management for the Lower Benue River Basin, Nigeria. Planners and decision-makers need to consider several integrated plans as alternatives to adapting to climate change impacts and anthropogenic human activities in resolving the unmet demands.Item Historical climate variability and water supply in Ilorin: Perceptions and predictions(Centre for Ilorin Studies (CILS), University of Ilorin, Ilorin, Nigeria, 2013) Aremu, A.S.; Salami, A.W; Ayanshola, A.M.