Browsing by Author "Lawal, F.O"

Now showing 1 - 10 of 10
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    Climate Change and Water Security in Nigeria: A Review. In Environmental Sustainability, Climate Change and Challenges of Indigenous Knowledge Perception In 21st Century, Ekanade, et al., (ed.)
    (Published by Department of Geography and Environmental Management, University of Ilorin, Ilorin, Nigeria., 2022) Lawal, F.O; Geoffrey, E. O.; Adebayo, M.O; Salau, W.; Sani,
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    Environmental Effects of Landuse on Groundwater Quality in Irepodun Local Government Area, Kwara State
    (Sokoto Journal of the Social Sciences, Published by Faculty of Social Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria., 2023) Lawal, F.O; Oluponmile, O.J.
    The paper examines the impact of land use types on groundwater quality in Irepodun Local Government Area, Kwara State. Twelve groundwater samples were collected from hand-dug wells and boreholes from various land uses in four wards of the study area. These samples were analysed for fifteen physicochemical and microbial parameters using standard laboratory analytical techniques and compared with the World Health Organisation recommended standards for drinking water. Tables were used in presenting the data and principal component analysis were carried out on the data generated. The result showed that groundwater quality varies in the sampled locations, and the physicochemical parameters analysed were within the WHO-recommended standards except for BOD, TDS, Mg, and Ca. The microbial analysis showed that THC ranges between 35-102×10-2 and 24-64×10-3 CFU/ml, while the TFC ranged from 1 5×10-1 and 3-8×10-2 CFU/ml. The study revealed that Proteus mirabilis, Shigella sp, Pseudomonas aeruginosa, and Bacillus sp. were the most prominent organisms observed in the water samples. The result of the PCA revealed that 17 variables were reduced to 5 orthogonal components which cumulatively explain 89% of the variance. The contributions of the components varied from 7.67% to 41.20%, each capturing the influence of various land uses on groundwater quality. The study recommends the integration of land use and water quality for effective decision-making and sustainable land-water management, thereby informing land use optimization and water pollution control policies to manage water resources for the current and future generations.
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    Flood Susceptibility Mapping in Asa Local Government Area, Kwara State, Using Remote Sensing and GIS Approach
    (Journal of Environmental Issue Department of Geography and Environmental Management, Faculty of Social Sciences, University of Ilorin, Ilorin, Nigeria, 2022) Lawal, F.O; Idrees, M.O; Ifechukwu, O.M.; Babalola, A.; Omar, D.M; Azeez, K.A.; Salami, I.B
    The increasing incidences of flood events in recent times have necessitated the need to come up with an early warning information for flood risk preparedness and reduction. The study aimed at mapping flood susceptibility in Asa Local Government Area, Kwara State, using Geographic Information System (GIS) based multi criteria evaluation approach. The data required for the study include: rainfall amount, soil texture, digital elevation model, distance from stream (euclidean distance) and land use land cover of the study area. Using Analytic Hierarchical Process, flood criteria weights were calculated for the different variables according to their influence on flooding and overlay analysis was employed in analysing the data for the study. The result of the study show there is spatial variation in the level of susceptibility to flood risks in the study area. Thus, the low-risk area covers 16.1% (~222.24 km2), moderate class 28.8% (~398.08 km2), high risk zone occupies 39.5% (~408.70 km2) while the very high-risk zone takes up 25.6% (~354.15 km2) of the area coverage of the study area. Furthermore, the accuracy assessment produced area under the curve (AUC) value of 0.795 (~80%). From the study, it was also discovered that Owode, parts of Afon, Bode, Onikangu, Abule-Alagbede fall within the very high and high-risk flood zones. The map could be a useful tool to decision makers in Asa local government for effective flood management plans.
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    Implications of Population Pressure on Water Resources in Nigeria.
    (Published by Department of Geography and Environmental Management, University of Ilorin, Ilorin, Nigeria., 2023) Lawal, F.O; Geoffrey, E. O.; Adebayo, M.O; Salau, W.; Sani, W.J.
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    Link between Population and Energy Consumption. In Social Sciences for Beginners, Geography and Economics
    (Published by Faculty of Social Sciences, University of Ilorin, Ilorin, Nigeria, 2021) Orire, I.O.; Lawal, F.O
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    Perceptual Assessment of Extended Producer Responsibility for Management of Electronic Waste in Ilorin Metropolis, North Central Nigeria.
    (Kashere Journal of Geography and Sustainable Environment, Published by Department of Geography, Federal University of Kashere, Gombe State Nigeria., 2024) Olanrewaju, A.S; Usman, B.A; Orire, I.O; Laro, K.O; Lawal, F.O
    Electronic waste (e-waste) generation and its unsustainable management are major problems in in Nigeria. Objectives of the Extended Producer Responsibility (EPR) policy launched in 2016 in Nigeria include promoting the knowledge of e-waste and its environmental hazards and, encouraging formal recycling among the people. This study reports knowledge of e waste environmental hazards, information channels, and factors influencing the acquisition of knowledge on e-waste hazards among households in Ilorin metropolis. Both quantitative and qualitative methods were employed to collect and analyze data. The study involved a sample of 600 households for questionnaire administration and, 30 households for in-depth interviews. Quantitative data were analyzed using descriptive statistics and Binomial Logistic regression. In-depth interview data were analyzed using content analysis method. Findings revealed that only 28.5% of the respondents reported being knowledgeable about e-waste hazards. Sources of knowledge on e-waste hazards were interpersonal information and knowledge sharing (47.8%) and electronic products handling/safety brochures (15.4%). Furthermore, Binomial Logistic regression analysis signified that important factors that influenced the acquisition of knowledge on e-waste hazards among the study respondents (at P≤0.01) were gender, education, household headship type, and sector of employment of household heads. In sum, the level of awareness on e-waste hazards is low in the study community. The study recommends public awareness and sensitization strategies on e-waste hazards and, the mainstreaming of the subject matter of e-waste in the basic science and computer studies curricula at the Elementary and Junior Secondary School levels in the study community and at the national level in Nigeria.
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    Population Growth Challenges for Environmental Sustainability in Nigeria. In Nigeria Perspectives to Population Dynamics and Sustainable Development, Oriola and Raheem (ed.)
    (Published by Department of Geography and Environmental Management, University of Ilorin, Ilorin, Nigeria, 2023) Lawal, F.O; Ifabiyi, I.P.; Salau,W.
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    The Phenomenon of Climate Change: Evidences and Implications for Food Security in Nigeria.
    (Published by Department of Geography and Environmental Management, University of Ilorin, Ilorin, Nigeria., 2021) Ifabiyi, I.P.; Usman, B.A; Lawal, F.O
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    Urban Farming and Climate Variability in Oyo Town, Nigeria.
    (Published by Nigerian Meteorological Society (NmetS)., 2024) Adeleke, E.A; Lawal, F.O
    Climate in urban areas is synonymous to high temperature and affects agricultural productivity in a relative terms. This study examined how variability in urban climate affects agricultural production in urban area of Oyo town. Both primary and secondary data were used for this study. The primary data were collected through questionnaire administration while secondary data (climate variables) were collected from Nigeria Meteorological Agency. The data were analyzed using both inferential (correlation, and regression analysis) and descriptive (mean, standard deviation, tables, and charts) statistics. The study showed that, the mean lowest temperature in the area was 22.5 oC, the mean rainfall was 126.44 mm, the mean wind speed was 5.09 m/s, the mean relative humidity was 79.7%, and the mean maximum temperature was 31.7 oC. The results also showed that groundnut yield decreased by 13.4 per hectare on average, the cowpea yield decreased by 12.95 per hectare on average, while tomato yield increased by 22.46 per hectare on average. In addition, there was an inverse relationship between (-0.029) wind, (-0.063) rainfall, and (-0.078) rainfall with groundnut, cowpea, and tomato. The climatic variables accounted for increase of 13.4% of the yield of tomatoes, 12% of cowpeas, and 1% of groundnuts. The study concluded that local climate significantly affects the productivity of the selected crops. The study however recommended that urban farmers need to save water during rainy season for irrigation agriculture in the dry season. Hence, Nigerian Meteorological Agency and other agencies should provide farmers with adequate weather information for sustainable urban farming.
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    Urban Land Use Land Cover Mapping in Tropical Savannah using Landsat-8 derived Normalized Difference Vegetation Index (NDVI) Threshold
    (South African Journal of Geomatics, Published by CONSAS Conference, South Africa., 2022) Idrees, M.O; Omar, D.M; Babalola, A.; Ahmadu, H.A; Yusuf, A.; Lawal, F.O
    Generation of land use/land cover map at different spatial scales using satellite remote sensing data has been in practice as far back as early 1970s. Since then, research focus has been on the development of classification steps and improving the quality of the resulting maps. In recent times, the demand for detailed high accuracy land-use and land-cover (LULC) data has been on the increase due to the growing complexity of earth processes, while, at the same time, processing step is becoming more complex. This paper explores Landsat 8 derived normalized difference vegetation index (NDVI) threshold for the purpose of simplifying land cover classification process. NDVI images of January, May and December, 2018, representing dry, wet and harmattan seasons were generated. Thereafter, NDVI values corresponding to the location of a set of training data representing the target urban land covers (water, built-up area, soil, grassland and shrub) were extracted. Using the statistics of the extracted values, NDVI threshold for the respective land cover type were determined for the classification process. Finally, the classification accuracy was evaluated using the unbiased matrix coefficient technique which produced overall accuracy of 71.3%, 46.4% and 75.6% at 95% confidence limit for the months of January, May and December of the year review respectively. The result has shown that NDVI threshold is a simple and practical alternative to obtain LULC map at a reasonable time with a few data.