Department of Civil and Enironmental Engineering

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Browsing Department of Civil and Enironmental Engineering by Author "Adeniyi Ganiyu Adeogun"

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    Coupled 1D-2D Hydrodynamic Innundation Model for Sewer Overflow: Influence of Modelling Parameters
    (Taylor and Francis, 2016-02-12) Adeniyi Ganiyu Adeogun; Michael Olawale Daramola; Assela Pathirana
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    EFFECTIVENESS OF GIS-BASED APPROACH FOR FLOOD HAZARD ASSESSMENT OF ONA RIVER, IBADAN, NIGERIA
    (2022-04-21) Habeeb Oladimeji Ganiyu; Adeniyi Ganiyu Adeogun; S.B. BAKARE; A.S. AREMU
    : Flooding is one of the most reoccurrence natural disasters globally and the plan to mitigate the effects of flood cannot be over emphasized. This study assessed the flood stage and flood extent of Ona River, Ibadan, Nigeria using Geographic Information System (GIS) in concert with Hydrologic Engineering Center-Geographic River Analysis System (HEC-GeoRAS). The results of the study revealed that the highest flood stage was predicted at 4.73 m, and 33% of the flood prone areas has a flood stage above 2 m based on the developed inundation map which implies that human and urban infrastructure are not safe. In the case of flood extent, the smallest flood extent was estimated at 694 m2 (Mount Zion Baptist church at Oke-Ayo and its environs) while the largest flood extent was estimated at 115,329 m2. It is recommended that an emergency rescue plan should be formulated to mitigate the effect of flooding in the affected areas such as Sweeco Foods, Tedaz Organic Home, Rehoboth Cathedral, a section of Oluyole Estate Road, Zartech Limited, 7-Up Bottling Company, Obasanjo Farm, and a section of Arapaja estate which are most prone to floods.
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    Investigation on Fluoride Concentration in Well Water and Its Health Implications: A Case Study of Gwagwalada, Gwagwalada Area Council, FCT, Abuja
    (2023-12-12) Habeeb Solihu; Ismaeel Abdulraheem; Solomon Olakunle Bilewu; Adeniyi Ganiyu Adeogun
    This study focuses on determining the concentration of fluoride ions in selected hand-dug wells and investigating its health im plications in Gwagwalada Area Council, Federal Capital Ter ritory, Abuja. The necessity for this investigation arose from observed health issues, including dental and skeletal fluorosis among the residents in the area. Fifteen sampling points (well water sources) were chosen in the study area, and a total of for ty-five samples (three per sampling point) were collected. The calorimetric water quality analysis method was employed to an alyze these samples in the laboratory. Additionally, the Inverse Distance Weighting (IDW) interpolation method was used to generate a spatial variation map for fluoride ion concentration using ArcMap. The results indicate a concentration range of 0.122 mg/L to 1.910 mg/L across the study area. When com pared with the recommendations for fluoride ion concentration in the Nigeria Industrial Standard (NIS) for drinking water (0.1 – 1.0 mg/L), approximately 67% of the sampling points (10 out of 15) fall within the recommended values, while 33% fall out side. The areas with higher fluoride ion concentrations include Dupa 1, Dupa 2, Tunga Maje 1, Tunga Maje 2, and Old Ku tunku 2. The study concludes that the observed dental and skel etal fluorosis in these areas can be attributed to the consumption of water with high fluoride concentrations. Consequently, the study recommends increased attention from both local and fed eral authorities to provide potable water for human consump tion in these areas to address the associated health challenges
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    SIMULATION OF SEDIMENT YIELD AT THE UPSTREAM WATERSHED OF JEBBA LAKE IN NIGERIA USING SWAT MODEL
    (Malaysian Journal of Civil Engineering, 2015) Adeniyi Ganiyu Adeogun; Sule, Bolaji Fatai; Adebayo Wahab
    In this study, we focused on the applicability and suitability of Soil and Water Assessment Tool (SWAT) embedded in Geographical Information Systems (GIS) environment in the prediction of sediment yield of a watershed (12,992km2). The watershed is drained by Rivers Niger, Kontagora, Awun and Eku and is located at the upstream of Jebba Reservoir in north central Nigeria . SWAT was run daily for 26 years (1985 to 2010 ) using climatic data representing three weather stations located within the watershed. The model was calibrated and validated using measured flow data from 1990 to 1995. Also due to the unavalilability of observed sediment data for the area, sediment samples were collected from three locations in the watershed from May to December, 2013 using suspended sediment sampler USDH-2A. The sediment samples were analysed and used to spatially calibrate and validate the model. The model was statistically evaluated using coefficient of determination, R2 and Nasch-Sutcliffe Efficiency, NSE. Evaluation of the model revealed that it performed satisfactorily for stream flow and sediment yield predictions in the watershed. The model predicted the annual sediment yield in the watershed as 255.8 tons/ha/yr producing about 8.31x 109 tons of sediment between 1985 and 2010. Sediment concentration (mg/l) in the reach during the period of simulation showed that the highest sediment concentration was obtained in subbasins 29, 20 and 19 with values 446.3, 376.8 and 365.4 mg/l respectively. However, lowest sediment concentration occurred in subbasin 73 with a value of 108.6 mg/l. The results from the study showed that a properly calibrated SWAT embedded in GIS environment is suitable for modelling the hydrology and predicting the sediment yield in a watershed. In the light of this, SWAT can be adopted by water engineers and hydrologists in Nigeria and other sub sahara Africa countries in the region as a decision support tool to assist policy makers in achieving sustainable sediment and water management at watershed level.