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Papers by Joshua Owoseni, PhD

Landfill site suitability mapping for rational development planning: a GIS-based multi-criteria evaluation in Edo State, Nigeria

GeoJournal

Hydrogeochemical system characterization using multivariate analysis: A case study of Iju Area, Akure southwestern Nigeria

Journal of Sustainable Technology, 2016

Multivariate factor analysis (FA) by principal components reduction and varimax rotation techniqu... more Multivariate factor analysis (FA) by principal components reduction and varimax rotation techniques were employed to reduce bulk hydrogeochemical data from Iju Community, Southwestern Nigeria into components that explain possible underlying structures existing among the variables. This is with a view to characterizing groundwater chemical facies in relation to underlying hydrogeochemical processes suppossed to be responsible for any variation in water quality. Thirteen water quality variables were investigated at 38 sampling points. The data obtained were standardized to ensure normal distribution and then subjected to factor analysis by principal component extraction method with varimax rotation and Kaiser normalization. The criterion of eigenvalues greater than 1.0 and indications from the scree plot informed the extraction of two components which together explain 83.73 % of the total variance in the dataset. Component 1 with high loadings of TDS, EC, Temperature, Total hardness, ...

The Role of Groundwater Vulnerability in Land use and Urban Development Planning

Use of "Agricultural wastes" in stabilizing residual tropical soils for road construction

This paper presents the use of an 'agricultural waste' in efficient and cost effective so... more This paper presents the use of an 'agricultural waste' in efficient and cost effective soil stabilization based on investigative laboratory tests conducted on residual soils from parts of southwestern Nigeria. The soils were treated with rice-husk ash (RHA) with a view to determining the effects on the engineering performance of the genetically different soils as road construction materials. Index and engineering tests followed the specifications in the British Standard, 1377 with necessary modifications. Laboratory results show appreciable lowering of plasticity indices of the soils, indicating reduced swelling potential which translates to increased soil strength. Moreover, California bearing ratio and shear strength characteristics also improved, with strong positive correlations. The optimum moisture contents drastically reduced, and maximum dry densities escalated. It's quite obvious that RHA improved the engineering geological properties of the soils remarkably. Co...

Groundwater vulnerability assessment using DRASTIC and Pesticide DRASTIC models in intense agriculture area of the Gangetic plains, India

Environmental Monitoring and Assessment, 2014

Delineating areas susceptible to contamination from anthropogenic sources form an important compo... more Delineating areas susceptible to contamination from anthropogenic sources form an important component of sustainable management of groundwater resources. The present research aims at estimating vulnerability of groundwater by application of DRASTIC and Pesticide DRASTIC models in the southern part of the Gangetic plains in the state of Bihar. The DRASTIC and Pesticide DRASTIC models have considered seven parameters viz. depth to water level, net recharge, aquifer material, soil material, topography, impact of vadose zone and hydraulic conductivity. A third model, Pesticide DRASTIC LU has been adopted by adding land use as an additional parameter, to assess its impact on vulnerability zonation. The DRASTIC model indicated two vulnerable categories, moderate and high, while the Pesticide DRASTIC model revealed moderate, high and very high vulnerable categories. Out of the parameters used, depth to water level affected the vulnerability most. The parameter caused least impact was topography in DRASTIC, while in case of Pesticide DRASTIC and Pesticide DRASTIC LU models, the parameter was hydraulic conductivity. A linear regression between groundwater NO3 concentrations and the vulnerability zonation revealed better correlation for Pesticide DRASTIC model, emphasising the effectiveness of the model in assessing groundwater vulnerability in the study region. Considering all three models, the most vulnerable areas were found to be concentrated mainly in two zones, (i) in the south-western part along Ekangarsarai-Islampur patch and (ii) around Biharsharif-Nagarnausa area in the central part. Both zones were characterised by intensive vegetable cultivation with urban areas in between.

The Role of Groundwater Vulnerability in Land Use and Urban Development Planning

Federal University of Technology Book of Readings, Sep 1, 2014