IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8525-d605047.html
   My bibliography  Save this article

A Preliminary Geothermal Prospectivity Mapping Based on Integrated GIS, Remote-Sensing, and Geophysical Techniques around Northeastern Nigeria

Author

Listed:
  • Abubakar Yusuf

    (Exploration Geophysics Section, School of Physics, Universiti Sains Malaysia, Gelugor 11800, Penang, Malaysia
    Department of Geology, Faculty of Science, Gombe State University, Gombe PMB 0127, Nigeria)

  • Lim Hwee San

    (Exploration Geophysics Section, School of Physics, Universiti Sains Malaysia, Gelugor 11800, Penang, Malaysia)

  • Ismail Ahmad Abir

    (Exploration Geophysics Section, School of Physics, Universiti Sains Malaysia, Gelugor 11800, Penang, Malaysia)

Abstract

Spatial mapping of potential geothermal areas is an effective tool for a preliminary investigation and the development of a clean and renewable energy source around the globe. Specific locations within the Earth’s crust display some manifestations of sub-surface geothermal occurrences, such as hot springs, a volcanic plug, mud volcanoes, and hydrothermal alterations, that need to be investigated further. The present area of investigations also reveals some of these manifestations. However, no attempt was made to examine the prospectivity of this terrain using the efficient GIS-based multicriteria evaluation (MCE) within the scope of the Analytic hierarchy process (AHP). The integration of remote sensing, Geographic information system (GIS), and other geophysical methods (Magnetic and gravity) was performed to map the promising geothermal areas. Multiple input data sets such as aero-magnetic, aero-gravity, aero-radiometric, digital elevation model (DEM), geological map, and Landsat-8 Operational Land Imager (OLI) data were selected, processed, and use to generate five thematic layers, which include heat flow, temperature gradients, integrated lineaments, residual gravity, and lithology maps. The five thematic layers were standardized and synthesized into a geothermal prospectivity map. The respective ranks and weight of the thematic layers and their classes were assigned based on expert opinion and knowledge of the local geology. This research aims to apply an efficient method to evaluate the factors influencing the geothermal energy prospects, identify and map prospective geothermal regions, and, finally, create a geothermal prospectivity model.

Suggested Citation

  • Abubakar Yusuf & Lim Hwee San & Ismail Ahmad Abir, 2021. "A Preliminary Geothermal Prospectivity Mapping Based on Integrated GIS, Remote-Sensing, and Geophysical Techniques around Northeastern Nigeria," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8525-:d:605047
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8525/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/15/8525/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Procesi, M. & Buttinelli, M. & Pignone, M., 2015. "Geothermal favourability mapping by advanced geospatial overlay analysis: Tuscany case study (Italy)," Energy, Elsevier, vol. 90(P2), pages 1377-1387.
    2. Elbarbary, S. & Abdel Zaher, M. & Mesbah, H. & El-Shahat, A. & Embaby, A., 2018. "Curie point depth, heat flow and geothermal gradient maps of Egypt deduced from aeromagnetic data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 620-629.
    3. Ali Mostafaeipour & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Mehdi Jahangiri & Kuaanan Techato, 2020. "A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    4. Nishar, Abdul & Richards, Steve & Breen, Dan & Robertson, John & Breen, Barbara, 2016. "Thermal infrared imaging of geothermal environments and by an unmanned aerial vehicle (UAV): A case study of the Wairakei – Tauhara geothermal field, Taupo, New Zealand," Renewable Energy, Elsevier, vol. 86(C), pages 1256-1264.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadia Belmonte & Carlo Luetto & Stefano Staulo & Paola Rizzi & Marcello Baricco, 2017. "Case Studies of Energy Storage with Fuel Cells and Batteries for Stationary and Mobile Applications," Challenges, MDPI, vol. 8(1), pages 1-15, March.
    2. Macenić, M. & Kurevija, T. & Medved, I., 2020. "Novel geothermal gradient map of the Croatian part of the Pannonian Basin System based on data interpretation from 154 deep exploration wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Daniilidis, Alexandros & Herber, Rien, 2017. "Salt intrusions providing a new geothermal exploration target for higher energy recovery at shallower depths," Energy, Elsevier, vol. 118(C), pages 658-670.
    4. Belmonte, N. & Staulo, S. & Fiorot, S. & Luetto, C. & Rizzi, P. & Baricco, M., 2018. "Fuel cell powered octocopter for inspection of mobile cranes: Design, cost analysis and environmental impacts," Applied Energy, Elsevier, vol. 215(C), pages 556-565.
    5. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2022. "A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern clim," Energy, Elsevier, vol. 261(PB).
    6. Chouhan, Avinash Kumar & Kumar, Rakesh & Mishra, Abhishek Kumar, 2024. "Assessment of the geothermal potential zone of India utilizing GIS-based multi-criteria decision analysis technique," Renewable Energy, Elsevier, vol. 227(C).
    7. Yücenur, G. Nilay & Maden, Ayça, 2024. "Sequential MCDM methods for site selection of hydroponic geothermal greenhouse: ENTROPY and ARAS," Renewable Energy, Elsevier, vol. 226(C).
    8. Elbarbary, Samah & Abdel Zaher, Mohamed & Saibi, Hakim & Fowler, Abdel-Rahman & Ravat, Dhananjay & Marzouk, Hossam, 2022. "Thermal structure of the African continent based on magnetic data: Future geothermal renewable energy explorations in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    9. Almaktar, Mohamed & Shaaban, Mohamed, 2021. "Prospects of renewable energy as a non-rivalry energy alternative in Libya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    10. Latifah M. Alsarhan & Alhanouf S. Alayyar & Naif B. Alqahtani & Nezar H. Khdary, 2021. "Circular Carbon Economy (CCE): A Way to Invest CO 2 and Protect the Environment, a Review," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    11. Mehdi Jahangiri & Yasaman Yousefi & Iman Pishkar & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Seyyed Mohammad Fatemi Vanani, 2023. "Techno–Econo–Enviro Energy Analysis, Ranking and Optimization of Various Building-Integrated Photovoltaic (BIPV) Types in Different Climatic Regions of Iran," Energies, MDPI, vol. 16(1), pages 1-25, January.
    12. Chia-Nan Wang & Jui-Chung Kao & Yen-Hui Wang & Van Thanh Nguyen & Viet Tinh Nguyen & Syed Tam Husain, 2021. "A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources," Mathematics, MDPI, vol. 9(12), pages 1-17, June.
    13. Gheorghe-Gavrilă Hognogi & Ana-Maria Pop & Alexandra-Camelia Marian-Potra & Tania Someșfălean, 2021. "The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-31, October.
    14. Khalid Almutairi & Seyyed Shahabaddin Hosseini Dehshiri & Seyyed Jalaladdin Hosseini Dehshiri & Ali Mostafaeipour & Alibek Issakhov & Kuaanan Techato, 2021. "Use of a Hybrid Wind—Solar—Diesel—Battery Energy System to Power Buildings in Remote Areas: A Case Study," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    15. Carbajal-Martínez, Daniel & Peiffer, Loïc & Hinojosa-Corona, Alejandro & Trasviña-Castro, Armando & Arregui-Ojeda, Sergio M. & Carranza-Chávez, Francisco J. & Flores-Luna, Carlos & Méndez-Alonzo, Rodr, 2021. "UAV-based thermal imaging and heat output estimation of a coastal geothermal resource: La Jolla beach, Baja California, Mexico," Renewable Energy, Elsevier, vol. 168(C), pages 1364-1376.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8525-:d:605047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.