Browsing by Author "Fashae, O. A."

Now showing 1 - 3 of 3

Comparative assessment of the changing pattern of land cover along the Southwestern coast of Nigeria using GIS and remote sensing techniques
(Elsevier, 2022) Fashae, O. A.; Tijani, M. N.; Adekoya, A. E.; Tijani, S.A.; Adagbasa, E. G.; Aladejana, J. A.
The changing pattern of land cover is increasingly becoming of global concern in the sustainable management of environmental resources. Different facets of the natural ecosystem continue witnessing devastation orchestrated by rapid population growth and urban expansion in the face of climate change. This study examined the contribution of human’s to the global environmental change by assessing the dynamics of land cover between 1984 and 2017 while predicting the future extent of land cover pattern for 2047 at the Epe and Igbokoda areas on the coast of southwestern Nigeria. Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM + ), and Operational Land Imager (OLI) imageries of 1984, 2002, and 2017 respectively were acquired from the USGS to analyse the land cover changes. Supervised classification was done using the maximum likelihood classifier of Terrset version 18.31. The Change Demand Modelling of Land Change Modeller (LCM) in Terrset integrates the Markov chain for future predictions for 2047. The Epe area which typifies a rapidly urbanizing coastal environment recorded an 84.6% increase in built-up area extent between 1984 and 2017, while the built-up area of the Igbokoda area increased by 103.8% for the same period. This increment corresponds to a decrease in the spatial extent of the forested wetlands with an increase in water bodies. Expansion of water body extents indicates the interaction between the elements of climate change such as incessant flooding and anthropogenic activities like deforestation, urban expansion through sand mining and dredging. Future prediction into 2047 connotes further worsening of the situation. Therefore, solution-based sustainable coastal management practices are recommended to salvage the impoverishing coastal ecosystems from further impairment.
Comparing ANN and ARIMA model in predicting the discharge of River Opeki from 2010 to 2020
(John Willey & Sons Limited, 2018) Fashae, O. A.; Olusola, A. O.; Ndubuisi, I.; Udomboso, C. G.
Many attempts have been made in the recent past to model and forecast streamflow using various techniques with the use of time series techniques proving to be the most common. Time series analysis plays an important role in hydrological research. Traditionally, the class of autoregressive moving average techniques models has been the statistical method most widely used for modelling water discharge, but it has been shown to be deficient in representing nonlinear dynamics inherent in the transformation of runoff data. In contrast, the relatively newly improved and efficient soft computing technique artificial neural networks has the capability to approximate virtually any continuous function up to an arbitrary degree of accuracy, which is not otherwise true of other conventional hydrological techniques. This technique corresponds to human neurological system, which consists of a series of basic computing elements called neurons, which are interconnected together to form networks. The aim of the study is to compare the artificial neural network and autoregressive integrated moving average to model River Opeki discharge (1982–2010) and to use the best predictor to forecast the discharge of the river from 2010 to 2020. The performance of the two models was subjected to statistical test based on correlation coefficient (r) and the root‐mean‐square error. The result showed that autoregressive integrated moving average performs better considering the level of root‐mean‐square error and higher correlation coefficient.
Land-use changes and urbanization impacts on livelihood and groundwater sustainability of coastal areas of Lagos, SW-Nigeria: integrated GIS-based, livelihood and hydrochemical assessments
(Nigerian Mining and Geosciences Society, 2018) Tijani, M. N.; Adekoya, A. E.; Fashae, O. A.; Tijani, S. A.; Aladejana, J. A.
Water and food security are essential to human survival, livelihood and well-being vis-a-vis sustainable resources management and attainment of the SDGs. This study employed GIS-based, livelihood and hydrochemical assessments of impacts of land use and urbanization on community livelihood and groundwater sustainability with emphasis on the resilience and security of coastal water supply in Lagos metropolis, SW-Nigeria. For the assessment of land-use changes and associated impacts on community livelihood, Spot 5 satellite imagery of 1984, 2002 and 2017 of Lagos area alongside with Landsat ETM+ and OLI were used to generate the land use / land cover (LULC) changes using ArcGIS 10.3 Software. In addition, purposive and random sampling was used to select 500 respondents for the socio-economic assessment of perceived effects of land use changes on livelihood activities of coastal communities in the study area, while the data were analyzed using both quantitative and qualitative approaches. Furthermore, hydrochemical quality assessment of seventy (70) water samples collected from different household water points (wells and boreholes) within study coastal environs were subjected to in-situ physicochemical parameters (pH, Temperature, TDS and EC) followed by laboratory analyses of major cations and anions. GIS-based 2 2 assessment revealed a significant increase in the built-up areas from 447.3km in 1984 to 951km in 2017 representing 85% increase with corresponding loss of about 5% of the forested coastal wetlands. This is a clear indication of rapid urbanization in the last three decades with attendant impacts on coastal livelihood and water quality. For the livelihood assessment, the average age of respondents was 52±7.7 years while most (66.2%) were males, married, (90.0%), literate (57.7%) with an average 34±5.2 years of residency. Fishing and farming were the major activities while the evaluated data revealed a decline in livestock production by 92.0%, cash crops by 90.0% and food crops by 79.0%. This is also a clear indication of impacts land-use changes as two-third of the respondents diversified into nonfarming activities. Hydrochemical assessment revealed elevated electrical conductivity (EC) of >1,000μS/cm alongside with elevated Na (51-230mg/l), Cl (300-980mg/l) and SO (36-88mg/l) concentrations in shallow wells and boreholes tapping the upper unconfined aquifer. This is a clear fingerprint of groundwater vulnerability to saline intrusion and contamination. Therefore, in the face of reality of impacts of anthropogenic land-use and climateinduced changes, there is the need for a clear governance structure to regulate the rate of groundwater abstraction and indiscriminate groundwater development to ensure sustainable groundwater resources management and attainment of SDG-6 and avoidance of water supply crisis. Such crisis can be avoided, if appropriate knowledge-based choices, planning / management options are employed; failure of which will likely be very costly.