Details
Originalsprache | Englisch |
---|---|
Aufsatznummer | 102225 |
Fachzeitschrift | GEOTHERMICS |
Jahrgang | 97 |
Frühes Online-Datum | 4 Sept. 2021 |
Publikationsstatus | Veröffentlicht - Dez. 2021 |
Abstract
The depth to the bottom of magnetic sources (DBMS) is widely used as a proxy for crustal thermal structures. In this study, the DBMS is calculated using the spectral analysis of aeromagnetic data for the whole territory of Mexico. By assuming the DBMS to be related to the Curie point depth, the heat flow distribution is estimated. The DBMS and heat flow maps were constructed using geostatistical simulations to quantitatively determine standard deviation as uncertainty. The results show a good agreement with the complex geologic and tectonic setting in Mexico. Small DBMS values (high heat flow) as expected appear in areas where recent volcanism occurs and at seafloor spreading zones. In contrast, large values are present in tectonically stable zones.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Erneuerbare Energien, Nachhaltigkeit und Umwelt
- Erdkunde und Planetologie (insg.)
- Geotechnik und Ingenieurgeologie
- Erdkunde und Planetologie (insg.)
- Geologie
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in: GEOTHERMICS, Jahrgang 97, 102225, 12.2021.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Geostatistical mapping of the depth to the bottom of magnetic sources and heat flow estimations in Mexico
AU - Carrillo-de la Cruz, Juan Luis
AU - Prol-Ledesma, Rosa María
AU - Gabriel, Gerald
N1 - Funding Information: The funding source was the SENER-CONACyT (Mexico) Fondo de Sustentabilidad through the project CeMIE-Geo P-01. It was neither involved in the project activities nor in the decision to submit this article for publication in Geothermics. Funding source was the SENER-CONACyT (Mexico) Fondo de Sustentabilidad Grant 207032 of the Centro Mexicano de Innovación en Energía Geotérmica (CeMIE-Geo) project P-01 to R.M. Prol-Ledesma and the CONACyT PhD fellowship 478768. Part of the work was conducted during a seven-month research visit (Juan Luis Carrillo-de la Cruz) at the Leibniz Institute for Applied Geophysics. The authors thank Augusto Rodriguez, Diana Nu?ez and two anonymous reviewers for their positive comments that helped to improve the manuscript. The QGIS contributors are thanked for the free distribution of the software that was used in the map creation. Funding by CONACyT of the PhD fellowship of the first author is much appreciated.
PY - 2021/12
Y1 - 2021/12
N2 - The depth to the bottom of magnetic sources (DBMS) is widely used as a proxy for crustal thermal structures. In this study, the DBMS is calculated using the spectral analysis of aeromagnetic data for the whole territory of Mexico. By assuming the DBMS to be related to the Curie point depth, the heat flow distribution is estimated. The DBMS and heat flow maps were constructed using geostatistical simulations to quantitatively determine standard deviation as uncertainty. The results show a good agreement with the complex geologic and tectonic setting in Mexico. Small DBMS values (high heat flow) as expected appear in areas where recent volcanism occurs and at seafloor spreading zones. In contrast, large values are present in tectonically stable zones.
AB - The depth to the bottom of magnetic sources (DBMS) is widely used as a proxy for crustal thermal structures. In this study, the DBMS is calculated using the spectral analysis of aeromagnetic data for the whole territory of Mexico. By assuming the DBMS to be related to the Curie point depth, the heat flow distribution is estimated. The DBMS and heat flow maps were constructed using geostatistical simulations to quantitatively determine standard deviation as uncertainty. The results show a good agreement with the complex geologic and tectonic setting in Mexico. Small DBMS values (high heat flow) as expected appear in areas where recent volcanism occurs and at seafloor spreading zones. In contrast, large values are present in tectonically stable zones.
KW - Conductive heat transfer
KW - Crustal thermal structure
KW - Curie temperature
KW - Fractal magnetization model
KW - Geostatistical mapping
UR - http://www.scopus.com/inward/record.url?scp=85114128694&partnerID=8YFLogxK
U2 - 10.1016/j.geothermics.2021.102225
DO - 10.1016/j.geothermics.2021.102225
M3 - Article
AN - SCOPUS:85114128694
VL - 97
JO - GEOTHERMICS
JF - GEOTHERMICS
SN - 0375-6505
M1 - 102225
ER -