期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 108, 期 40, 页码 16545-16548出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1018590108
关键词
carbon dioxide; storage leak; public acceptance; engineered sequestration; aquifer
资金
- Scottish Carbon Capture and Storage consortium
- College of Science and Engineering, University of Edinburgh
- EPSRC [EP/H022961/1] Funding Source: UKRI
- NERC [NE/H013989/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/H022961/1] Funding Source: researchfish
- Natural Environment Research Council [NE/H013989/1] Funding Source: researchfish
Industrialized societies which continue to use fossil fuel energy sources are considering adoption of Carbon Capture and Storage (CCS) technology to meet carbon emission reduction targets. Deep geological storage of CO2 onshore faces opposition regarding potential health effects of CO2 leakage from storage sites. There is no experience of commercial scale CCS with which to verify predicted risks of engineered storage failure. Studying risk from natural CO2 seeps can guide assessment of potential health risks from leaking onshore CO2 stores. Italy and Sicily are regions of intense natural CO2 degassing from surface seeps. These seeps exhibit a variety of expressions, characteristics (e. g., temperature/flux), and location environments. Here we quantify historical fatalities from CO2 poisoning using a database of 286 natural CO2 seeps in Italy and Sicily. We find that risk of human death is strongly influenced by seep surface expression, local conditions (e. g., topography and wind speed), CO2 flux, and human behavior. Risk of accidental human death from these CO2 seeps is calculated to be 10-8 year-1 to the exposed population. This value is significantly lower than that of many socially accepted risks. Seepage from future storage sites is modeled to be less that Italian natural flux rates. With appropriate hazard management, health risks from unplanned seepage at onshore storage sites can be adequately minimized.
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