EVALUATION OF UPWARD CONTINUATION AND REDUCTION TOEVALUATION OF UPWARD CONTINUATION AND REDUCTION TO MAGNETIC EQUATOR ON AIRBORNE MAGNETIC DATA MAGNETIC EQUATOR ON AIRBORNE MAGNETIC DATA
DOI:
https://doi.org/10.33003/fjs-2023-0705-1968Keywords:
Airborne magnetic data, Igboho, Upward continuation, Magnetic equatoAbstract
This research work is aimed at interpreting the airborne magnetic data of the study area for mapping the basement geologic structures using magnetic image enhancement filters. It focus on performing filtering techniques to expose and identify the magnetic properties of the basement structures at various continuation distances. The procedure applied to Total Magnetic Intensity (TMI) data of the study area using Oasis MontanjTM software were Reduction to Magnetic Equator (RTME) to remove the inclination effect as well as positioning the peak of the anomalies over their sources so as to improve the orientation of the magnetic sources, separation of regional and residual magnetic anomalies. These was followed by application of upward continuation at 500 m, 1000 m, 2000 m and 3000 m height. The results of the RTME shows the amplitude of the magnetic anomalies ranging from -37.577 nT to 27.398 nT. High magnetic anomaly is dominated in the northwest, southeast through southern part of the study location. Furthermore the results of the Upward Continuation (UC) revealed a wider wavenumber anomalies as well as height above the near surface. Hence the results of this research has displayed an enhanced geological magnetic structures located in the study area and also shows an improved quality of magnetic anomalies as the continuation distances increases.
References
Abdul Q. Jakhrani, Saleem R. Samo, Shakeel A. Kamboh, Jane Labadin and A. R. H. Rigit, “An Improved Mathematical Model for Computing Power Output of Solar Photovoltaic Modules,” International Journal of Photoenergy. March , Vol 2014.
Bahaidarah, Haitham; Rehman, Shafiqur; Subhan, Abdul; Gandhidasan, P.; Baig, Hasan (2015). Performance evaluation of a PV module under climatic conditions of Dhahran, Saudi Arabia. Energy, Exploration & Exploitation, 33(6), 909–930. doi:10.1260/0144-5987.33.6.909.
Carr A. J., Pryor TL. A comparison of the performance of different PV module types in high ambient temperature. ISES 2001, Solar World Congress; 2001
Chidubem EA, Big-Alabo RUA, Omorogiuwa E. (2021). Impact of ambient temperature on the power output of a photovoltaic module in Kaduna state, Nigeria. Indian Journal of Engineering, 18(50), 294-303
Chineke, T. (2008). “Equations for estimating global solar radiation in data sparse regions.” Renew. Energy, 33(4), 827–831.
Chineke, T., and Okoro, U. (2010). “Application of Sayigh “universal formula” for global solar radiation estimation in the Niger delta region of Nigeria.” Renew. Energy, 35(3), 734–739.
Choi Y, J. Rayl, C. Tammineedi, and J. Brownson. 2011. PV Analysis: Coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas. Solar Energy 85: 2924-293.
Ezekwe, C., and Ezeilo, C. (1981). “Measured solar radiation in a Nigerian environment compared with predicted data.” Sol. Energy, 26(2), 181–186.
Fadare, D. (2009). “Modelling of solar energy potential in Nigeria using an artificial neural network model.” Appl. Energy, 86(9), 1410–1422.
Global Atlas Report for Kakuri Gwari, Kaduna State, Nigeria, July, 17, 2023. https://globalsolaratlas.info/detail?c=10.454895,7.405815,13
Green M. A. (1981), Solar Cells: Operating Principles, Technology, and System Applications, Prentice-Hall series, Australia.
IEA PV PVPS report (2022),https://www.iea.org/reports/ solar-pv
World Bank report (2021): https://data.worldbank.org/ indicator/EG.ELC.RNWX.KH?locations=NG /iea.org/stats/index.asp
Ike, C. U., 2013, “The Effect of Temperature on the Performance of A Photovoltaic Solar System in Eastern Nigeria,” International Journal of Engineering and Science, Vol.3, Issue 12, Pp. 10-14.
Lu Shen, Zhenpeng Li, Tao Ma (2020). Analysis of the power loss and quantification of the energy distribution in PV module, Applied Energy, Vol.260, 15 February 2020, 114333 Elsevier
Mustapha I, Dikwa M.K, Musa B.U and Abbagana M., “Performance evaluation of polycrystalline solar photovoltaic module in weather conditions of Maiduguri, Nigeria,” Arid Zone Journal of Engineering, Technology and Environment. August, Vol. 9, 69-81, 2013.
Nabulsi, A. A., & Dhaouadi, R. (2012). Efficiency optimization of a DSP-based standalone PV system using fuzzy logic and dual-MPPT control. IEEE Transactions on Industrial Electronics, 8(23), 573-584.
Nguyen H, and J. Pearce. (2010). Estimating potential photovoltaic yield with r.sun and the open source geographic resources analysis support system. Solar Energy 84: 831-843.
Ojosu, J. (1988). “Solar radiation distribution maps of Nigeria.” NBRRI Rep. No. 11, Nigerian Building and Road Research Institute, Lagos, Nigeria.
Saloux, A. Teyssedou, and M. Sorin, “Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point,” Solar Energy, vol. 85, no. 5, pp. 713– 722, 2011.
Shaari S, Kassim MN, Ahmad A. Performance characteristics of an amorphousbase solar photovoltaic system in Malaysia field condition. In: Second national seminar on energy in buildings, UiTM Shah Alam; March 2005.
The German Solar Energy Society (DGS LV Berlin BRB). Planning and installing photovoltaic systems. James & James/Earthscan; 2005. p. 23.
Umar I.H. Research and Development and Energy Crisis in Nigeria Paper presented at the 1999 Technology Submit Abuja Nigeria.1999
Vongkoon, P., & Liutanakul, P. (2012). Digital R-S-T Controller for Current Loop Control of DC/DC Buck Converter: A Photovoltaic (PV) Array Simulator under Partial Shading Condition. IEE Proc-Electrical Power Application (37), 712-723.
Published
How to Cite
Issue
Section
FUDMA Journal of Sciences
