Comparative Analysis of Empirical Formulae Used in Groundwater Recharge in Ogun – Oshun River Basins

Oke, M. O.

doi:10.9734/jsrr/2013/4557

Cited by 15 publications

(13 citation statements)

References 18 publications

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“…The net recharge was calculated using the formula: Twenty years' rainfall data sourced from the Nigerian Meteorological Agency shows a mean rainfall pattern of 1200 mm/year for the northern part of the Dahomey Basin, and 1800 mm/year for the southern part of the Basin. Rainfall serves as the basic mode of groundwater recharge [42] in the basin. The rainfall is influenced by the Inter-tropical Convergence Zone (ITZC) wind, which blows from the Atlantic Ocean to the Sahara Desert.…”

Section: Drastic Parametersmentioning

confidence: 99%

Regional Aquifer Vulnerability and Pollution Sensitivity Analysis of Drastic Application to Dahomey Basin of Nigeria

Oke

2020

IJERPH

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Shallow groundwater vulnerability mapping of the southwestern Nigeria sedimentary basin was assessed in this study with the aim of developing a regional-based vulnerability map for the area based on assessing the intrinsic ability of the aquifer overlying beds to filter and degrade migrating pollutant. The mapping includes using the established seven parameter-based DRASTIC vulnerability methodology. Furthermore, the developed vulnerability map was subjected to sensitivity analysis as a validation approach. This approach includes single-parameter sensitivity, map removal sensitivity, and DRASTIC parameter correlation analysis. Of the Dahomey Basin, 21% was classified as high-vulnerability and at risk of pollution, 61% as moderate vulnerability, and 18% as low vulnerability. Low vulnerability areas of the basin are characterised by thick vadose zones, low precipitation, compacted soils, high slopes, and high depth to groundwater. High-vulnerability areas which are prone to pollution are regions closer to the coast with flat slopes and frequent precipitation. Sensitivity of the vulnerability map show the greatest impact with the removal of topography, soil media, and depth to groundwater and least impact with the removal of the vadose zone. Due to the subjectivity of the DRASTIC method, the most important single parameter affecting the rating system of the Dahomey Basin DRASTIC map is the impact of the vadose zone, followed by the net recharge and hydraulic conductivity. The DRASTIC vulnerability map can be useful in planning and siting activities that generate pollutants (e.g., landfill, soak away, automobile workshops, and petrochemical industries) which pollute the environment, groundwater, and eventually impact the environmental health of the Dahomey Basin’s inhabitants.

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Section: Drastic Parametersmentioning

confidence: 99%

Regional Aquifer Vulnerability and Pollution Sensitivity Analysis of Drastic Application to Dahomey Basin of Nigeria

Oke

2020

IJERPH

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“…1). River Osun which is the major river in the drainage system accents in Oke-Mesi ridge, about 5 km North of Effon Alaiye and flows North across the Itawure gap to latitude 7°53ʺ and then deviates westwards via Osogbo, Ede and southwards to flow into Lagos lagoon (Ogun-Oshun River Basin Development Authority (OORBDA, 1982;Oke et al, 2013;Ashaolu, 2016). The basin climate is influenced by the movement of the Inter-tropical Convergence Zone (ITCZ), the quazi-stationary boundary that distinguishes the subtropical continental air mass over the Sahara and the equatorial maritime air mas over the Atlantic Ocean (OORBDA, 1982).…”

Section: Study Areamentioning

confidence: 99%

“…The mean annual temperature is about 30°C, which can varies depending on the location and time of the year (Ifabiyi, 2005). The basin is underlain by two types of rocks which are the Basement Complex rocks and the sedimentary basins (OORBDA, 1982;Oke et al, 2013). About 93% of the basin is underlain by the Basement Complex rocks, while the remaining 7% is sedimentary rock found in the southern part of the basin close to the Atlantic (Ashaolu, 2016).…”

Section: Study Areamentioning

confidence: 99%

Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

Ashaolu

Olorunfemi

Ifabiyi

2019

Journal of Environmental Geography

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Over the years, Osun drainage basin has witnessed tremendous increase in population, and urbanization that have changed the landscape of the area. This study evaluated the spatio-temporal pattern of land use/land cover change (LULC) in the study area, and made hydrological inferences. Landsat imageries were acquired from USGS-EROS satellite image database for the period 1984, 2000 and 2015, while the Digital Elevation Model (DEM) was obtained from Shuttle Radar Topography Mission (SRTM) of the National Aeronautics and Space Agency (NASA). Supervised image classification using the Maximum Likelihood Algorithm in Erdas Imagine was adopted to classified the land use/land cover of the study area into seven classes. Elevation, aspect and slope of the study area were processed from DEM using ArcGIS. Modules for Land Use Change Evaluation (MOLUSCE) plugin in QGIS was used to simulate the basin future LULC change, using change driving factors of population, elevation, aspect and slope of the study area. There was about 234% increase in built up areas and 89.22% in crop/shrubs between 1984 and 2015. The most significant decrease in LULC occurred in forest (58.75%) and wetland (84.69%) during this period. The predicted future LULC change suggests that only about 12% of the basin will remain under forest cover by the year 2046. The results underscored the increasing anthropogenic activities in the basin that influenced recharge rate, surface runoff, incidences of soil erosion, etc., in Osun drainage basin. The planting of the lost native trees was recommended for the sustainability of the basin’s ecosystem.

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“…This impact can be digni ed the change ow of water in river , or forecast by hydrologi cal simulation model is used and combined with land use and land cover change situations of the aspect, it has allows for assess ing the impression of the change on groundwater recharge and discharge of river sites. The in uences of land use change in the context of recharge studies deliberated by various researcher such as Albhaisi et al,2013,Bhaskar Narjary et al,2014,Juan Ramón Raposo et al 2013,Tran Van.,2012, Sashikkumar et al,2017,Kenji jinno et al,2009,Dams et al,2008,Hamid Hosseinimarandi et al,2014Bertrand leterme and dirk mallants.,2011,Stiefel et al,2009,Vahid Amini Parsa et al,2016,Ala-aho P et al,2015, Rana Chatterjee et al,2009,Marcelo Varni et al,2013.,Ranu Rani et al,2009and Oke et al,2013. An objective of this study to validate the impact of land use and land cover variation on groundwater recharge sites in area of data resulting from Landsat satellite images by using a simulated model (Molusce), for Pappiredipatti watershed, South India.…”

Section: Introductionmentioning

confidence: 99%

Impact assessment of check dam recharge sites in the pappiredipatti Watershed (South India) by using LULC and NDVI Data

Satheeshkumar¹,

Venkateswaran²

2020

Preprint

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Agriculture is one of the essential sector in because of the changing phenomenon of weather condition which is further complicated by the interaction of the vegetation with the environment. Scarcity of rainfall causes physiognomic changes can be identified by satellite images through the use of vegetation indices and landuse and land cover changes. The vegetation indices are sensitive to the rate of plant growth as well as to the amount of growth. They are sensitive to change in vegetation affected by moisture stress. Hence, scarcity can be monitored more systematically through remote sensing techniques than the ground based methods of collection of information. The capabilities of Geospatial techniques have been used to demarcate effective sites for monitoring functional characteristics of water conservation structures in the pappiredipatti watershed. In this study, land use/land covers have been used to delineate the existing recharge sites for water conservation measures. Increase of groundwater resource is proposed in the watershed by constructing runoff storage structures like as check dam, percolation tank and gabion structures. The site effective water conservation structures is determined by considering spatially varying parameters land use/land cover and natural difference vegetation index (NDVI) information of the watershed. Geospatial technique has been used to store, analyse, integrate spatial and attribute information pertaining to functional characteristics of land use and land cover within buffering distance in the area of interest of watershed. For detailed changes around recharge area assessment an attempt was made over the watershed. Crop growth area was assessed in and around under forest, barren land and dense vegetation area using temporal normalised difference vegetation index (NDVI) on 1985, 2005 and 2015. They have compared with vegetation area regions, and crop wise area growing were identified. Based on the result obtained from the study area on vegetation cover, buffered around recharge area impact was assessed by NDVI. Decrease in barren land on 2005 by identifying the NDVI threshold over predominantly sparse vegetation growing regions, crop wise area was identified. Further, the water body was estimated from NDVI data of 2005 and 2015 which have been validated for the vegetation assessment. The result of Landsat data use study indicated decrease in dense vegetation area that has leading to wide spread drought condition in the some part of the watershed.

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Comparative Analysis of Empirical Formulae Used in Groundwater Recharge in Ogun – Oshun River Basins

Cited by 15 publications

References 18 publications

Regional Aquifer Vulnerability and Pollution Sensitivity Analysis of Drastic Application to Dahomey Basin of Nigeria

Regional Aquifer Vulnerability and Pollution Sensitivity Analysis of Drastic Application to Dahomey Basin of Nigeria

Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

Impact assessment of check dam recharge sites in the pappiredipatti Watershed (South India) by using LULC and NDVI Data

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