Suppr超能文献

2005 - 2015年地球最活跃的排气火山的一氧化碳通量排放。

CO flux emissions from the Earth's most actively degassing volcanoes, 2005-2015.

作者信息

Aiuppa Alessandro, Fischer Tobias P, Plank Terry, Bani Philipson

机构信息

Dipartimento DiSTeM, Università di Palermo, Palermo, Italy.

Department of Earth and Planetary Sciences, New Mexico University, Albuquerque, USA.

出版信息

Sci Rep. 2019 Apr 1;9(1):5442. doi: 10.1038/s41598-019-41901-y.

Abstract

The global carbon dioxide (CO) flux from subaerial volcanoes remains poorly quantified, limiting our understanding of the deep carbon cycle during geologic time and in modern Earth. Past attempts to extrapolate the global volcanic CO flux have been biased by observations being available for a relatively small number of accessible volcanoes. Here, we propose that the strong, but yet unmeasured, CO emissions from several remote degassing volcanoes worldwide can be predicted using regional/global relationships between the CO/S ratio of volcanic gases and whole-rock trace element compositions (e.g., Ba/La). From these globally linked gas/rock compositions, we predict the CO/S gas ratio of 34 top-degassing remote volcanoes with no available gas measurements. By scaling to volcanic SO fluxes from a global catalogue, we estimate a cumulative "unmeasured" CO output of 11.4 ± 1.1 Mt/yr (or 0.26 ± 0.02·10 mol/yr). In combination with the measured CO output of 27.4 ± 3.6 Mt/yr (or 0.62 ± 0.08·10 mol/yr), our results constrain the time-averaged (2005-2015) cumulative CO flux from the Earth's 91 most actively degassing subaerial volcanoes at 38.7 ± 2.9 Mt/yr (or 0.88 ± 0.06·10 mol/yr).

摘要

来自陆上火山的全球二氧化碳(CO)通量仍未得到很好的量化,这限制了我们对地质时期和现代地球上深部碳循环的理解。过去推断全球火山CO通量的尝试因可获取观测数据的火山数量相对较少而存在偏差。在这里,我们提出,可以利用火山气体的CO/S比与全岩微量元素组成(例如Ba/La)之间的区域/全球关系来预测全球范围内几座偏远排气火山强烈但尚未测量的CO排放量。根据这些全球关联的气体/岩石组成,我们预测了34座顶部排气偏远火山的CO/S气体比,这些火山没有可用的气体测量数据。通过根据全球目录中的火山SO通量进行缩放,我们估计“未测量”的CO累计排放量为11.4±1.1 Mt/yr(或0.26±0.02·10 mol/yr)。结合测量得到的27.4±3.6 Mt/yr(或0.62±0.08·10 mol/yr)的CO排放量,我们的结果确定了地球91座最活跃排气陆上火山在2005 - 2015年期间的时间平均累计CO通量为38.7±2.9 Mt/yr(或0.88±0.06·10 mol/yr)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f437/6443792/22f45a3a2f4f/41598_2019_41901_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验