New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data

The Wikki Warm Spring is one of the promising locations for the development of geothermal projects in Nigeria. Radiometric and remote sensing data were interpreted to enhance the understanding of the factors controlling the geothermal energy sources in the Wikki Warm Spring. Thus, mapping locations...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Acta geophysica 2024-06, Vol.72 (3), p.1867-1878
Hauptverfasser: Salawu, Naheem Banji, Eluwole, Akinola Bolaji, Fajana, Akindeji Opeyemi, Orosun, Muyiwa Michael, Adebiyi, Leke Sunday, Salawu, Jibril Olarotimi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1878
container_issue 3
container_start_page 1867
container_title Acta geophysica
container_volume 72
creator Salawu, Naheem Banji
Eluwole, Akinola Bolaji
Fajana, Akindeji Opeyemi
Orosun, Muyiwa Michael
Adebiyi, Leke Sunday
Salawu, Jibril Olarotimi
description The Wikki Warm Spring is one of the promising locations for the development of geothermal projects in Nigeria. Radiometric and remote sensing data were interpreted to enhance the understanding of the factors controlling the geothermal energy sources in the Wikki Warm Spring. Thus, mapping locations of concealed heat sources offer concentration areas for follow-up geothermal exploration. Landsat-8 imagery was used to produce the land surface temperature (LST) map, which reveals surface temperature variation that ranges from 50 to 95 °C. In comparison, the radiogenic heat map of the region generated from the radiometric data of the study area shows radiogenic heat production rate, which ranged from less than 0.69 to above 3.91 µWm −3 . The radiogenic heat and LST maps show similar features, indicating that Basement Complex terrain exhibits high radiogenic and surface temperature than the Benue Trough. Monte Carlo simulation reveals statistical values that suggest that the most likely radiogenic heat value is 1.95 µWm −3 around the warm spring, the highest possible (best case scenario) heat value is 2.23 µWm −3 , and the least possible value (worst case scenario) is 1.69 µWm −3 . The Basement Complex terrain northwest of the warm spring produced high radiogenic heat, generating values above 3.91 μWm −3 . The outcome of this investigation is very important for explorationists to institute sustainable geothermal energy mitigation plans and produce a clean and renewable energy in Wikki Warm Spring.
doi_str_mv 10.1007/s11600-023-01098-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3048756020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3048756020</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-8f60c3f11734bcb613f3799ae86b219d551f5903d61e865e30d30d90ad4a9f973</originalsourceid><addsrcrecordid>eNp9kE1qHDEQhRsTgx07F8hK4O20XdXqPy3D4J-AmSxiM0uh6S6NNeNudUqyQ5a5Sc7ik0WZCdgrQ8EriveqqC_LPiOcI0BzERBrgBwKmQOCanM8yI6xVVXelFX14U1_lH0MYQNQl4DFcfZ7QT_FRBwm6qJ7JuHHlz_xgcSafBIezKOYfKQxutR5K5Zuu3ViaXgQ3yd243omFp6T1YRIPIqFWxM7MxOW_SCYhhQWgcaQrMKMvWDTOz9QZNeJ3kRzmh1a8xjo0389ye6vLu_mN_ntt-uv8y-3eSdRxby1NXTSIjayXHWrGqWVjVKG2npVoOqrCm2lQPY1plFFEvpUCkxfGmVVI0-ys_3eif2PJwpRb_wTj-mkllC2TVVDAclV7F0d-xCYrE5PDoZ_aQT9D7Xeo9YJtd6h1phCch8KOyLEr6vfSf0FfMKDWA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3048756020</pqid></control><display><type>article</type><title>New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data</title><source>Springer Nature - Complete Springer Journals</source><creator>Salawu, Naheem Banji ; Eluwole, Akinola Bolaji ; Fajana, Akindeji Opeyemi ; Orosun, Muyiwa Michael ; Adebiyi, Leke Sunday ; Salawu, Jibril Olarotimi</creator><creatorcontrib>Salawu, Naheem Banji ; Eluwole, Akinola Bolaji ; Fajana, Akindeji Opeyemi ; Orosun, Muyiwa Michael ; Adebiyi, Leke Sunday ; Salawu, Jibril Olarotimi</creatorcontrib><description>The Wikki Warm Spring is one of the promising locations for the development of geothermal projects in Nigeria. Radiometric and remote sensing data were interpreted to enhance the understanding of the factors controlling the geothermal energy sources in the Wikki Warm Spring. Thus, mapping locations of concealed heat sources offer concentration areas for follow-up geothermal exploration. Landsat-8 imagery was used to produce the land surface temperature (LST) map, which reveals surface temperature variation that ranges from 50 to 95 °C. In comparison, the radiogenic heat map of the region generated from the radiometric data of the study area shows radiogenic heat production rate, which ranged from less than 0.69 to above 3.91 µWm −3 . The radiogenic heat and LST maps show similar features, indicating that Basement Complex terrain exhibits high radiogenic and surface temperature than the Benue Trough. Monte Carlo simulation reveals statistical values that suggest that the most likely radiogenic heat value is 1.95 µWm −3 around the warm spring, the highest possible (best case scenario) heat value is 2.23 µWm −3 , and the least possible value (worst case scenario) is 1.69 µWm −3 . The Basement Complex terrain northwest of the warm spring produced high radiogenic heat, generating values above 3.91 μWm −3 . The outcome of this investigation is very important for explorationists to institute sustainable geothermal energy mitigation plans and produce a clean and renewable energy in Wikki Warm Spring.</description><identifier>ISSN: 1895-7455</identifier><identifier>ISSN: 1895-6572</identifier><identifier>EISSN: 1895-7455</identifier><identifier>DOI: 10.1007/s11600-023-01098-1</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Basements ; Clean energy ; Earth and Environmental Science ; Earth Sciences ; Energy sources ; Geophysics/Geodesy ; Geotechnical Engineering &amp; Applied Earth Sciences ; Geothermal energy ; Geothermal power ; Geothermal resources ; Heat ; Heat sources ; Land surface temperature ; Landsat ; Monte Carlo simulation ; Remote sensing ; Renewable energy ; Research Article - Hydrology and Hydraulics ; Satellite imagery ; Seasonal variations ; Structural Geology ; Surface temperature ; Sustainable energy ; Temperature variations ; Terrain</subject><ispartof>Acta geophysica, 2024-06, Vol.72 (3), p.1867-1878</ispartof><rights>The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences &amp; Polish Academy of Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-8f60c3f11734bcb613f3799ae86b219d551f5903d61e865e30d30d90ad4a9f973</citedby><cites>FETCH-LOGICAL-c319t-8f60c3f11734bcb613f3799ae86b219d551f5903d61e865e30d30d90ad4a9f973</cites><orcidid>0000-0002-6982-9904 ; 0000-0001-5089-2359 ; 0000-0002-1950-9005 ; 0000-0002-0236-3345</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11600-023-01098-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11600-023-01098-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Salawu, Naheem Banji</creatorcontrib><creatorcontrib>Eluwole, Akinola Bolaji</creatorcontrib><creatorcontrib>Fajana, Akindeji Opeyemi</creatorcontrib><creatorcontrib>Orosun, Muyiwa Michael</creatorcontrib><creatorcontrib>Adebiyi, Leke Sunday</creatorcontrib><creatorcontrib>Salawu, Jibril Olarotimi</creatorcontrib><title>New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data</title><title>Acta geophysica</title><addtitle>Acta Geophys</addtitle><description>The Wikki Warm Spring is one of the promising locations for the development of geothermal projects in Nigeria. Radiometric and remote sensing data were interpreted to enhance the understanding of the factors controlling the geothermal energy sources in the Wikki Warm Spring. Thus, mapping locations of concealed heat sources offer concentration areas for follow-up geothermal exploration. Landsat-8 imagery was used to produce the land surface temperature (LST) map, which reveals surface temperature variation that ranges from 50 to 95 °C. In comparison, the radiogenic heat map of the region generated from the radiometric data of the study area shows radiogenic heat production rate, which ranged from less than 0.69 to above 3.91 µWm −3 . The radiogenic heat and LST maps show similar features, indicating that Basement Complex terrain exhibits high radiogenic and surface temperature than the Benue Trough. Monte Carlo simulation reveals statistical values that suggest that the most likely radiogenic heat value is 1.95 µWm −3 around the warm spring, the highest possible (best case scenario) heat value is 2.23 µWm −3 , and the least possible value (worst case scenario) is 1.69 µWm −3 . The Basement Complex terrain northwest of the warm spring produced high radiogenic heat, generating values above 3.91 μWm −3 . The outcome of this investigation is very important for explorationists to institute sustainable geothermal energy mitigation plans and produce a clean and renewable energy in Wikki Warm Spring.</description><subject>Basements</subject><subject>Clean energy</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Energy sources</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering &amp; Applied Earth Sciences</subject><subject>Geothermal energy</subject><subject>Geothermal power</subject><subject>Geothermal resources</subject><subject>Heat</subject><subject>Heat sources</subject><subject>Land surface temperature</subject><subject>Landsat</subject><subject>Monte Carlo simulation</subject><subject>Remote sensing</subject><subject>Renewable energy</subject><subject>Research Article - Hydrology and Hydraulics</subject><subject>Satellite imagery</subject><subject>Seasonal variations</subject><subject>Structural Geology</subject><subject>Surface temperature</subject><subject>Sustainable energy</subject><subject>Temperature variations</subject><subject>Terrain</subject><issn>1895-7455</issn><issn>1895-6572</issn><issn>1895-7455</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1qHDEQhRsTgx07F8hK4O20XdXqPy3D4J-AmSxiM0uh6S6NNeNudUqyQ5a5Sc7ik0WZCdgrQ8EriveqqC_LPiOcI0BzERBrgBwKmQOCanM8yI6xVVXelFX14U1_lH0MYQNQl4DFcfZ7QT_FRBwm6qJ7JuHHlz_xgcSafBIezKOYfKQxutR5K5Zuu3ViaXgQ3yd243omFp6T1YRIPIqFWxM7MxOW_SCYhhQWgcaQrMKMvWDTOz9QZNeJ3kRzmh1a8xjo0389ye6vLu_mN_ntt-uv8y-3eSdRxby1NXTSIjayXHWrGqWVjVKG2npVoOqrCm2lQPY1plFFEvpUCkxfGmVVI0-ys_3eif2PJwpRb_wTj-mkllC2TVVDAclV7F0d-xCYrE5PDoZ_aQT9D7Xeo9YJtd6h1phCch8KOyLEr6vfSf0FfMKDWA</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Salawu, Naheem Banji</creator><creator>Eluwole, Akinola Bolaji</creator><creator>Fajana, Akindeji Opeyemi</creator><creator>Orosun, Muyiwa Michael</creator><creator>Adebiyi, Leke Sunday</creator><creator>Salawu, Jibril Olarotimi</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-6982-9904</orcidid><orcidid>https://orcid.org/0000-0001-5089-2359</orcidid><orcidid>https://orcid.org/0000-0002-1950-9005</orcidid><orcidid>https://orcid.org/0000-0002-0236-3345</orcidid></search><sort><creationdate>20240601</creationdate><title>New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data</title><author>Salawu, Naheem Banji ; Eluwole, Akinola Bolaji ; Fajana, Akindeji Opeyemi ; Orosun, Muyiwa Michael ; Adebiyi, Leke Sunday ; Salawu, Jibril Olarotimi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-8f60c3f11734bcb613f3799ae86b219d551f5903d61e865e30d30d90ad4a9f973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Basements</topic><topic>Clean energy</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Energy sources</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering &amp; Applied Earth Sciences</topic><topic>Geothermal energy</topic><topic>Geothermal power</topic><topic>Geothermal resources</topic><topic>Heat</topic><topic>Heat sources</topic><topic>Land surface temperature</topic><topic>Landsat</topic><topic>Monte Carlo simulation</topic><topic>Remote sensing</topic><topic>Renewable energy</topic><topic>Research Article - Hydrology and Hydraulics</topic><topic>Satellite imagery</topic><topic>Seasonal variations</topic><topic>Structural Geology</topic><topic>Surface temperature</topic><topic>Sustainable energy</topic><topic>Temperature variations</topic><topic>Terrain</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salawu, Naheem Banji</creatorcontrib><creatorcontrib>Eluwole, Akinola Bolaji</creatorcontrib><creatorcontrib>Fajana, Akindeji Opeyemi</creatorcontrib><creatorcontrib>Orosun, Muyiwa Michael</creatorcontrib><creatorcontrib>Adebiyi, Leke Sunday</creatorcontrib><creatorcontrib>Salawu, Jibril Olarotimi</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Acta geophysica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salawu, Naheem Banji</au><au>Eluwole, Akinola Bolaji</au><au>Fajana, Akindeji Opeyemi</au><au>Orosun, Muyiwa Michael</au><au>Adebiyi, Leke Sunday</au><au>Salawu, Jibril Olarotimi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data</atitle><jtitle>Acta geophysica</jtitle><stitle>Acta Geophys</stitle><date>2024-06-01</date><risdate>2024</risdate><volume>72</volume><issue>3</issue><spage>1867</spage><epage>1878</epage><pages>1867-1878</pages><issn>1895-7455</issn><issn>1895-6572</issn><eissn>1895-7455</eissn><abstract>The Wikki Warm Spring is one of the promising locations for the development of geothermal projects in Nigeria. Radiometric and remote sensing data were interpreted to enhance the understanding of the factors controlling the geothermal energy sources in the Wikki Warm Spring. Thus, mapping locations of concealed heat sources offer concentration areas for follow-up geothermal exploration. Landsat-8 imagery was used to produce the land surface temperature (LST) map, which reveals surface temperature variation that ranges from 50 to 95 °C. In comparison, the radiogenic heat map of the region generated from the radiometric data of the study area shows radiogenic heat production rate, which ranged from less than 0.69 to above 3.91 µWm −3 . The radiogenic heat and LST maps show similar features, indicating that Basement Complex terrain exhibits high radiogenic and surface temperature than the Benue Trough. Monte Carlo simulation reveals statistical values that suggest that the most likely radiogenic heat value is 1.95 µWm −3 around the warm spring, the highest possible (best case scenario) heat value is 2.23 µWm −3 , and the least possible value (worst case scenario) is 1.69 µWm −3 . The Basement Complex terrain northwest of the warm spring produced high radiogenic heat, generating values above 3.91 μWm −3 . The outcome of this investigation is very important for explorationists to institute sustainable geothermal energy mitigation plans and produce a clean and renewable energy in Wikki Warm Spring.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11600-023-01098-1</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6982-9904</orcidid><orcidid>https://orcid.org/0000-0001-5089-2359</orcidid><orcidid>https://orcid.org/0000-0002-1950-9005</orcidid><orcidid>https://orcid.org/0000-0002-0236-3345</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1895-7455
ispartof Acta geophysica, 2024-06, Vol.72 (3), p.1867-1878
issn 1895-7455
1895-6572
1895-7455
language eng
recordid cdi_proquest_journals_3048756020
source Springer Nature - Complete Springer Journals
subjects Basements
Clean energy
Earth and Environmental Science
Earth Sciences
Energy sources
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Geothermal energy
Geothermal power
Geothermal resources
Heat
Heat sources
Land surface temperature
Landsat
Monte Carlo simulation
Remote sensing
Renewable energy
Research Article - Hydrology and Hydraulics
Satellite imagery
Seasonal variations
Structural Geology
Surface temperature
Sustainable energy
Temperature variations
Terrain
title New perspective on the geothermal potential of Wikki Warm Spring, Northeastern Nigeria, from remote sensing and radiometric data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T21%3A18%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=New%20perspective%20on%C2%A0the%20geothermal%20potential%20of%20Wikki%20Warm%20Spring,%20Northeastern%20Nigeria,%20from%20remote%20sensing%20and%20radiometric%20data&rft.jtitle=Acta%20geophysica&rft.au=Salawu,%20Naheem%20Banji&rft.date=2024-06-01&rft.volume=72&rft.issue=3&rft.spage=1867&rft.epage=1878&rft.pages=1867-1878&rft.issn=1895-7455&rft.eissn=1895-7455&rft_id=info:doi/10.1007/s11600-023-01098-1&rft_dat=%3Cproquest_cross%3E3048756020%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3048756020&rft_id=info:pmid/&rfr_iscdi=true