首页> 外文期刊>Environmental Science & Technology >Simulating and Quantifying Multiple Natural Subsea CO_2 Seeps at Panarea Island (Aeolian Islands, Italy) as a Proxy for Potential Leakage from Subseabed Carbon Storage Sites
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Simulating and Quantifying Multiple Natural Subsea CO_2 Seeps at Panarea Island (Aeolian Islands, Italy) as a Proxy for Potential Leakage from Subseabed Carbon Storage Sites

机译:模拟和量化Panarea岛(意大利风神群岛)的多个天然海底CO_2渗漏,以作为可能从海底碳储存站泄漏的代理

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摘要

Carbon dioxide (CO2) capture and storage (CCS) has been discussed as a potentially significant mitigation option for the ongoing climate warming. Natural CO2 release sites serve as natural laboratories to study subsea CO2 leakage in order to identify suitable analytical methods and numerical models to develop best-practice procedures for the monitoring of subseabed storage sites. We present a new model of bubble (plume) dynamics, advection-dispersion of dissolved CO2, and carbonate chemistry. The focus is on a medium-sized CO2 release from 294 identified small point sources around Panarea Island (South-East Tyrrhenian Sea, Aeolian Islands, Italy) in water depths of about 40-50 m. This study evaluates how multiple CO2 seep sites generate a temporally variable plume of dissolved CO2. The model also allows the overall flow rate of CO2 to be estimated based on field measurements of pH. Simulations indicate a release of similar to 6900 t y(-1) of CO2 for the investigated area and highlight an important role of seeps located at >20 m water depth in the carbon budget of the Panarea offshore gas release system. This new transport-reaction model provides a framework for understanding potential future leaks from CO2 storage sites.
机译:二氧化碳(CO2)的捕获和储存(CCS)已被讨论为持续进行的气候变暖的潜在重要缓解方法。天然的CO2释放站是研究海底CO2泄漏的自然实验室,以便确定合适的分析方法和数值模型,以开发最佳实践程序来监控海底存储站。我们提出了一种新的气泡(泡沫)动力学模型,溶解的CO2的对流扩散和碳酸盐化学模型。重点是从Panarea岛(东南第勒尼安海,意大利风神群岛,意大利)周围294个已确定的小点源中释放出中等程度的CO2,水深约40-50 m。这项研究评估了多个CO2渗透位点如何产生随时间变化的溶解CO2羽流。该模型还允许基于野外对pH的测量来估算CO2的总流速。模拟表明,所研究区域的二氧化碳释放量接近6900吨y(-1),并强调了位于水深> 20 m的渗漏在Panarea海上天然气释放系统碳预算中的重要作用。这种新的运输反应模型提供了一个框架,可用于了解将来可能从CO2储存地点泄漏的气体。

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