标题：Evaluation of Artificial Neural Networks and Eddy Covariance Measurements for Modelling the CO 2 Flux Dynamics in the Acoculco Geothermal Caldera (Mexico)
期刊名称：International Journal of Environmental Science and Development
印刷版ISSN：2010-0264
出版年度：2018
卷号：9
期号：10
页码：298-302
DOI：10.18178/ijesd.2018.9.10.1117
摘要：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.
