Volume 9 Number 10 (Oct. 2018)
IJESD 2018 Vol.9(10): 298-302 ISSN: 2010-0264
doi: 10.18178/ijesd.2018.9.10.1117

Evaluation of Artificial Neural Networks and Eddy Covariance Measurements for Modelling the CO2 Flux Dynamics in the Acoculco Geothermal Caldera (Mexico)

E. Santoyo, A. Acevedo-Anicasio, D. Pérez-Zarate, and M. Guevara
Abstract—The aim of this research work is to report the CO2 measurements of a short-term period carried out in the geothermal zone of Acoculco, Puebla (Mexico). CO2 measurements were logged using a micrometeorological station Eddy Covariance. According to the complex geochemical phenomena involved in these measurements, artificial neural networks have been used for reproducing the CO2 measurements, and to fill the gap issues during the monitoring period. This survey was also performed for the identification of CO2 anomalies in the zone, and also to determine the natural emission baseline of CO2 at the early exploration stage of this promissory geothermal system. Details of this evaluation study are outlined.

Index Terms—Enhanced geothermal systems, environmental sustainability, geothermal energy, hot-dry rock, soil-gas emission.

E. Santoyo and M. Guevara are with the Institute for Renewable Energy (UNAM), Temixco, Mexico (e-mails: esg@ier.unam.mx, mygg@ier.unam.mx).
A. Acevedo-Anicasio is with the PhD Programme of Computational Sciences, Faculty of Sciences (UAEMor), 62209 Mexico (e-mail: agustin.acevedoa@uaem.edu.mx).
D. Perez-Zarate is with the Institute of Geophysics (UNAM), CONACyT Catedra, 04510 Mexico (e-mail: depez@igeofisica.unam.mx).

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Cite: E. Santoyo, A. Acevedo-Anicasio, D. Pérez-Zarate, and M. Guevara, "Evaluation of Artificial Neural Networks and Eddy Covariance Measurements for Modelling the CO2 Flux Dynamics in the Acoculco Geothermal Caldera (Mexico)," International Journal of Environmental Science and Development vol. 9, no. 10, pp. 298-302, 2018.





 General Information

  • ISSN: 2010-0264 (Print); 2972-3698 (Online)
  • Abbreviated Title: Int. J. Environ. Sci. Dev.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJESD
  • Editor-in-Chief: Prof. Richard Haynes
  • Managing Editor: Ms. Cherry L. Chen
  • Indexing: Scopus (CiteScore 2022: 1.4), Google Scholar, CNKI, ProQuest, EBSCO, etc. 
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