Series-2 (Sep-Oct-2019)Sep-Oct-2019 Issue Statistics
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Abstract: The present research aims to identify the geological structure of Kelud, Kasinan-Songgoriti, and Arjuno-Welirang, East Java Province based on remote sensing data, i.e. SRTM DEM (Shuttle Radar Topography Mission and Digital Elevation Model) data. The results of the SRTM DEM analysis revealed the pattern of lineament related to faults and fractures as a path of thermal fluid displacement. Lineament interpretation from SRTM DEM data was based on FFD (Fault and Fracture Density) map. The regions included in the classification of the most dominant line structures were Kelud volcano in Kediri Regency, Kawi-Butak to Jombok-Pujon in......
Keywords : Geological structure, lineament, SRTM DEM, Fault and Fracture Density, manifestations
[1]. M.A. Massinai, Rusman S., Syamsuddin, Struktur Geologi Sulawesi Barat Ditinjau dari Lineament Geomorfologi Regional, Seminar Nasional Geofisika 2014, Makassar, September 13, 2014.
[2]. Lukmanul Hakim, Nazli Ismail, and Faisal, Kajian Awal Penentuan Daerah Prospek Panas Bumi di Gunung Bur Ni Telong Berdasarkan Analisis Data DEM SRTM dan Citra Landsat 8, Journal of Rekayasa Elektrika Vol. 13, No. 3, December 2017, pp. 125-132, DOI: 10.17529/jre.v13i3.8332, 2017.
[3]. S. Maryanto, C.N. Dewi, Vanisa Syahra, A. Rachmansyah, James H. Foster, A. Nadhir, Didik R. Santoso, Magnetotelluric-Geochemistry Investigations of Blawan Geothermal Field, East Java, Indonesia, Geosciences 2017, 7, 41. www.mdpi.com/journal/geosciences, DOI: 10.3390/geosciences7020041, 2017.
[4]. S. Maryanto, Microseismicity of Blawan Hydrothermal Complex, Bondowoso, East Java, Indonesia, IOP Conference. Series: Journal of Physics: Conf. Series 997 (2018) 012019, DOI: 10.1088/1742-6596/997/1/012019, 2018..
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Abstract: In some part of Bida metropolis, the amount of solid wastes generated is on the increase due to population growth and due to the absence of modern engineered landfill. The wastes are dumped on the land surface without proper knowledge of the hydrochemistry, hydrology and geology of the dumpsites with regards to the movement of contaminants into the subsurface. The transport of contaminants from selected dumpsites into the groundwater body in Bida is the aim of this study and was undertaken by carrying out groundwater inventory studies for 130 hand dug wells identified in the area combined with sieve analysis of soil samples collected beneath the dumpsites.The groundwater inventory results revealed the average depth of wells in the area is approximately 11.0m........
Keywords : Groundwater flow, Groundwater contamination, Dumpsites, Bida Basin.
[1]. Olaniyan, I. O. & Oyeyemi, S. M. (2008). Geophysical Exploration for Groundwater Potential at Hayin Danmani Area of Kaduna, Nigeria. Global Journal of Engineering and Technology, 1(4), 413-418.
[2]. Idris-Nda, A., Salihu, H. D., Jimada, A. M. & Babadoko, A. (2016). Groundwater Quality in Shallow Unconfined Sedimentary Aquifers in Bida, Nigeria. 39th WEDC International Conference, Kumasi, Ghana. Briefing Paper 2339.
[3]. Delleur, J. W. (1999). Elementary Groundwater Flow and Transport Processes, In Handbook of Groundwater Engineering, pp. 41
[4]. Pawari, M. J. & Gawande, S. (2015). Ground water Pollution and its Consequences. International Journal of Engineering Research and General Science, Volume 3, ISSN 2091-2730.
[5]. Freeze, R. A. & Cherry, J. A. (1979). Groundwater. Prentice Hall, Inc. Englewood Cliffs, New Jersey. 803p.
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Abstract: Evaluation of groundwater vulnerability to pollution using different models in Njaba and environs Southeastern Nigeria was carried out with the objective of evaluating groundwater vulnerability to pollution as a basis for developing measures capable of protecting groundwater resources including developing groundwater vulnerability map through application of the DRASTIC, GOD and Le Grand models; classifying the study area into different vulnerability classes; and comparing the results of the DRASTIC, GOD and Le Grand models. The methods adopted in the assessment involved integration of geological, geotechnical and geophysical data into Geographic Information System (GIS) software to generate groundwater vulnerability map. Techniques of the models generally..........
Keywords : Groundwater Pollution, Vulnerability,LeGrand, DRASTIC, GOD and Njaba
[1]. Aller, L., Bennet, T., Lehr, H. J., Petty, J. R. and Hackett, G. (1987). A Standardized System for Evaluating Groundwater Pollution Potential Using Hydrogeologic Settings.USEPA-600/2-87-035: 622.
[2]. Amadi, A. N., (2007). Aquifer characterization and groundwater vulnerability around Owerri, Southeastern Nigeria: Unpublised M. Tech. Thesis, Federal University of Technology, Minna, Nigeria.
[3]. AtiquRahman (2008) A GIS based DRASTIC Model for Assessing Groundwater vulnerability in shallow aquifer in Aligarh, India. Applied Geography 28(2008) 32–53.
[4]. Bassey, C. and Eminue, O. (2012). Petrographic and stratigraphic analyses of Palaeogene Ogwashi-Asaba formation, Anambra Basin, Nigeria NAFTA 63(7-8):247-254.
[5]. BS (1975).Methods of Test for Soils for Civil Engineering Purposes."British Standard Institution (BSI), London.Pp. 1377..
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Abstract: Stress accumulation near earthquake generating fault system during the aseismic period in a seismically active region becomes a subject of research during the last few decades. Mathematical models have been formulated to study the effect on the nature of stress accumulation due to interactions of neighbouring faults. Two interacting, finite strike-slip faults, situated in a viscoelastic half-space representing the Lithosphere-Asthenosphere system, is considered here. The strikes of the faults are not parallel here. Stresses and strain accumulation in the region due to various tectonic processes, such as mantle convection and plate movements etc. ultimately tends to movements across the faults. In the present paper, analytical expressions for displacements, stresses and strain have been obtained..........
Keywords : Aseismic period, Lithosphere-Asthenosphere system, Finite fault, Stress accumulation, Viscoelastic half-space, Mantle convection, Earthquake prediction.
[1]. Ghosh, U., Mukhopadhyay, A. and Sen, S., On two interacting creeping vertical surface breaking strike–slip faults in a two-layer model of the lithosphere. Physics of the Earth and Planetary Interiors. 1992; 70: 119-129.
[2]. Chinnery, M.A., The deformation of the ground around surface faults. Bull. Seis. Soc. Am. 1961; 51: 355–372.
[3]. Chinnery, M.A., The strength of the Earth's crust under horizontal shear stress. Journal of Geophysical Research. 1964; 69: 2085–2089.
[4]. Karato, S.,Rheology of the Earth's mantle. A historical review Gondowana Research. 2010; 18(1):17-45.
[5]. Cohen, Post seismic viscoelastic surface deformations and stress, 1, Theoretical considerations, Displacements and strains calculations. Journal of Geophysical Research. 1980; 85(B6): 3131-3150.
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Abstract: Land use and land cover changes have been identified as one of the main human induced activities altering environmental systems. This is because of the ability of anthropogenic activities to cause land degradation, loss of biodiversity, global warming, flooding as well as groundwater quantity and quality. Like other parts of the world, arid and semi-arid areas in Kenya has been experiencing rapid land use and land cover changes over the past few decades due to changes in land policy, change in sedentary lifestyles, population growth and urbanization. An assessment of land use and land cover changes that have taken place over a period of 33 years was carried out in the Stony Athi sub-catchment between January 2018 and June 2018. The study was done using a remote sensing approach on a geographical information system platform. The widely used parametric classifier, the supervised maximum likelihood classification, was used to classify four satellite images for the years.......
Keywords : Land use and land cover change; Change detection; Stony Athi sub-catchment.
[1]. Alqurashi, A. F. & Kumar, L. (2013). Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review. Advances in Remote Sensing, 2, 193-204.
[2]. Butt. A.,Shabbir, R. Ahmad, S.S. &Aziz, N. (2015). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan; The Egyptian Journal of Remote Sensing and Space Sciences,18, 251–259.
[3]. Comber, A., Balzter, H., Cole, B., Fisher, P., Johnson, S.C.M. and Ogutu, B. (2016). Methods to Quantify Regional Differences in Land Cover Change. Remote Sensing, 8, 176. [4]. Congalton, R. G., and Green, K. (2019). Assessing the Accuracy of Remotely Sensed Data, Principles and Practices, Third Edition, CRC Press. 328 Pages.
[5]. GoK (Government of Kenya) (2014). State of the ASALs; Report for the Medium Term ASAL Program, Kajiado County; Ministry of Devolution and Planning, Directorate of Arid and Semi-arid Lands, Nairobi-Kenya.
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Abstract: Well log data helps compute rock attributes, show correlations with reservoir properties and act as control datafor seismic data interpretation.The aim of this studyis to analyse and identify rock attributes robust in fluid and lithology discrimination of hydrocarbon reservoirs for seismic data interpretation and reservoir characterization. Rock physics analysis was used to determine the significance of rock attributes, establish relationship between the rock attributes and reservoir properties and identify robust attributes applicable in characterizing reservoir.The cross-plotresults show that acoustic impedance (Ip), poisson ratio (σ), compressional to shear velocity ratio (Vp/Vs), rigidity (μρ) and incompressibility (λρ) rock attributes are robust as fluid and lithology discriminators. The λρ and Vp/Vs ratio are more sensitive to fluid content, while σ and μρ to rock matrix.The μρ vs λρ cross.........
Keywords : Reservoir Characterization, Rock Physics, Elastic constants, Rock attributes, cross plots
[1]. Abe S.J.; Olowokere M.T. and Enikanselu P.A. (2018). Development of model for predicting elastic parameters in "bright‟ field, Niger Delta using rock physics analysis. NRIAG Journal of Astronomy and Geophysics 7 (2018) 264–278.
[2]. Ajisafe, Y. C. and Ako, B. D. (2013). 3D Seismic Attributes for Reservoir Characterization of "Y" Field Niger Delta. ISOR journal of applied geology and geophysics.
[3]. Bello, R.; Igwenagu, C. L. andOnifade, Y.S. (2015). Cross plotting of Rock Properties for Fluid and Lithology Discrimination using Well Data in a Niger Delta Oil Field. J. Appl. Sci. Environ. Manage. http://dx.doi.org/10.4314/jasem/v19i3.2
[4]. Castagna J. P.; Han, D. and Batzle, M. L. (1995). Issues in rock physics and implications for DHI interpretation. The First Latin American Geophysical Conference and Expositionof the Latin American Geophysical Union. The leading Edge.
[5]. Chukwu, G. A. (1991). The Niger Delta Complex Basin: Stratigraphy, Structure and Hydrocarbon Potential. Journal of Petroleum Geology, vol. 14(2), pp. 211-220..
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Abstract: Eburru area lies in the Kenya's rift valley which has several geothermal heat sources. Spectral analysis of ground magnetic data was done to determine the curie point isotherm depth for Eburru study area. Magnetic data in Eburru study area was collected by proton precession magnetometer. Diurnal correction and geomagnetic correction were applied to the raw magnetic data to obtain residual magnetic data. Residual magnetic data was transferred to Oasis montaj software for spectral analysis and interpretation.Oasis Montaj MAGMAP was used to generate radially averaged energy spectrum. Fast Fourier Transform (FFT) was used to convert the space domain grid data to the Fourier wavenumber domain where filters were applied. Results from spectral analysis revealed a curie point isotherm.........
Keywords : Fast Fourier Transform, Geothermal, Heat source, Curie isotherm depth, Curie temperature, Magnetisation, Energy spectrum.
[1]. Georgsson, L., S. (2009). GEOPHYSICAL METHODS USED IN GEOTHERMAL EXPLORATION. Paper presented at the Short Course IV on Exploration for Geothermal Resources, organized by UNU-GTP, KenGen and GDC, , Lake Naivasha, Kenya.
[2]. Kearey, P., Brooks, M., & Hill, I. (2002). An introduction to geophysical exploration. Iowa, USA: Iowa state university press.
[3]. Kiende, R., & Kandie, R. (2015). Structural Geology of Eburru Volcano and Badlands Geothermal Prospects in Kenya. Paper presented at the Fortieth Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California.
[4]. Mariita, O. N. (2011). Application of geophysical methods to geothermal energy exploration in Kenya. Paper presented at the Short Course VI on Exploration for Geothermal Resources, UNU-GTP, GDC and KenGen, Lake Bogoria and Lake Naivasha, Kenya.
[5]. Mwawongo, M., Godwin. (2013). Geothermal mapping using temperature measurements. Paper presented at the Short course VIII on exploration for geothermal resources, organized by UNU-GTP, GDC and KenGen, Lake Bogoria and Lake Naivasha, Kenya
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Abstract: Air pollution constitutes the largest among all of the environmental risks: Pollutants such as TSP, SO2, CO and NO2 were measured in association with meteorological parameters. The average wind speed within the dry season was 0.78m/s, while the average wind speed at wet season is 1.53m/s. Average temperature observed within the study area is 26.350C in wet season and 33.20C in dry season. Trans Amadi, Rumuosi Junction, Choba Junction and Eliozu Flyover record highest temperatures of 34.050C, 33.350C, 31.050C, 31.550C respectively. From the analysis of the result gotten from data collation in this work, the measured concentration of TSP,NO2, SO2 and CO, at Igbo Etche Junction, Choba, Rumuomasi, and Trans-Amadi are higher than those stipulated by Federal Ministry of Environmental and National Ambient Air Quality Standards. With an average concentration.........
Keywords : Air Quality, Concentration Meteorology, Pollution and Standard.
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[4]. Oderinde O. K., Babajide S. O., Adeofun C.O., Liu S. and Akinyemi O. (2016): Investigating the Vehicular Carbon Monoxide Concentration in the Central Region of Ogun State, Nigeria. IOSR Journal of Environmental Science, Toxicology and Food Technology, 10(5 Ver 1): 90-98.
[5]. World Health Organization (WHO) (2005).Updated Air Quality Guidelines; Microsoft Corporation. Available online at: http://whqlibdoc.who.int/hq/2006/WHO_SDE_PHE_OEH_06.02_eng. pdf