Browsing by Author "Aremu, A.S."
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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 Neural Networks Performance in Modeling Rainfall Amounts(Research in Forestry, Wildlife and Environment, 2017) Abdulkadir, T.S; Salami, A.W.; Aremu, A.S.; Ayanshola, A.M.; Oyejobi, D.O.Item Delineation of Groundwater Potential Zones in Awun Basin and Its Environs Using Remote Sensing and GIS Techniques(Nigeria Association of Hydrological Sciences (NAHS), 2017) Ayanshola, A.M.; Jimoh, M.O.; Bilewu, S.O; Kolade, S.A.; Salami, A.W.; Aremu, A.S.An integrated approach using remote sensing and Geographic Information Systems (GIS) was adopted to assess the groundwater potential in the Awun basin and its environs in Kwara State, Nigeria. Digitally enhanced colour composites and panchromatic images of Landsat TM were interpreted to produce thematic maps of the study area. Topographic parameters were derived from digital elevation models and used to map landforms. Fracture patterns and spacing were measured in the field in different rock types and compared with lineaments. All thematic layers were integrated and analysed and a groundwater potential map was generated. The spatial distribution of groundwater potential zones showed regional patterns related to lithologies, lineaments, drainage systems and landforms. Results showed that spatial distribution of the most promising sites for groundwater exploration was dependent on the interrelated factors of lithology, topography and geologic structure. The most promising sites were distributed in 56% of the study area. The results demonstrate that the integration of remote sensing, GIS, traditional fieldwork and models provide a useful tool in the assessment and management of water resources and development of groundwater exploration plansItem Evaluation of Municipal Solid Waste Management System and Willingness-to-pay for its Improvements In Ilorin, Kwara State, Nigeria(Nigerian Journal of Technology (NIJOTECH), 2015) Ayanshola, A. M.; Aremu, A.S.; Jacob, S. O.; Bilewu, S. O.; Salami, A. W.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.Item Probabilistic Analysis of Peak Daily Rainfall for Prediction purposes in Selected Areas of Northern Nigeria(Federal University of Technology, Minna, Nigeria, 2016) Salami, A.W.; Aremu, A.S.; Ayanshola, A.M.; Abdulkadri, T.S.; Garba, M.K.In this study, probability analysis was performed on peak daily rainfall data in order to predict rainfall interval values and to determine the best fit functions in some parts of Nigeria. The selected towns are Kaduna, Kano, Yola, Jos, Damaturu and Maiduguri. The obtained peak daily rainfall values were subjected to Gumbel, Log-Gumbel, Normal, Log-Normal, Pearson and Log-Pearson probability distributions. Mathematical equation for probability distribution functions were established for each town and used to predict peak rainfall. The predicted values were subjected to goodness of fit tests such as Chi-square, Correlation Coefficient, Coefficient of Determination and Errors of Estimates to determine how best the fits are. The model that satisfies the tests adequately was selected as the best fit model. The study revealed that the peak rainfall at Kaduna, Jos, Kano, Yola and Damaturu are best fitted by log-Gumbel, while log- Pearson distribution is suitable for predicting peak rainfall in Maiduguri. The result also shows that the occurrences of peak daily rainfall depth of 100 mm and above are rare in the selected areas.Item Probabilistic Analysis of Peak Daily Rainfall for Prediction Purposes in Selected Areas of Northern Nigeria(Nigerian Journal of Technological Research, 2016) Salami, A.W.; Aremu, A.S.; Ayanshola, A.M.; Abdulkadir, T.S.; Garba, M.K.Item Role of Geomatics in the Management of Disasters and Infrastructural Failures(African Journals Online, 2013-02-19) Adeleke, O.O.; Jimoh, Y.A.; Ayanshola, A.M.; Aremu, A.S.The article identifies the role of Geomatics in the highly interdisciplinary disaster management to include identification and mapping of hazard prone areas, deformation monitoring of hazard prone areas and massive engineering structures, production of rescue maps and assessment of damages among others. A case study of surveying activities in the proposed flood management of Asa River in Ilorin metropolis, Nigeria was presented. The study identified possible causes of the flood to include silting along the river, blockades of free flow of water resulting from human activities such as dumping of refuse in the river and natural causes such as growth of vegetation along the river channel. The study recommends the development and deployment of Geomatics potentials in the three phases of disaster management namely; pre-disaster phase, disaster phase and post disaster phase.Item Statistical Evaluation of Impact of Climate Change on Hydro-Meteorological Variables at the Hydropower Reservoirs on River Niger in Nigeria(Faculty of Engineering and Technology, Ladoke Akintola University of Technology, Ogbomoso, Nigeria, 2012) Salami, A.W.; Aremu, A.S.; Ayanshola, A.M.