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CO2 can be effectively immobilized during CO2 injection into saline aquifers by residual trapping – also known as capillary trapping – a process resulting from capillary snap-off of isolated CO2 bubbles. Simulations of CO2 injection were performed to investigate the interplay of viscous and gravity forces and capillary trapping of CO2. Results of those simulations show that gas injection processes in which gravitational forces are weak compared to viscous forces (low gravity number Ngv) trap significantly more CO2 than do flows with strong gravitational forces relative to the viscous forces (high Ngv). The results also indicate that over a wide range of gravity numbers (Ngv), significant fractions of the trapping of CO2 can occur relatively quickly. The amount of CO2 that is trapped after injection ceases is demonstrated to correlate with Ngv. For some simulated displacements, effects of capillary pressure and aquifer dip angle on the amount and the rate of trapping are reported. Trapping increases when effects of capillary pressure and aquifer inclination are included in the model. Finally we show that injection schemes such as alternating injection of brine and CO2 or brine injection after CO2 injection can also enhance the trapping behavior.  相似文献   
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As climate change adaptation is increasingly discussed and becoming a mainstream concept, different types of users are asking themselves if and when they should develop an adaptation strategy, often not knowing where to begin. Climate experts, on the other hand, have access to an enormous amount of data that could be useful to users but often do not know how to translate it into something practical. Both users and experts can be linked through two timescales, the system lifespan and climate vulnerability. While the system lifespan relies on the user’s estimation of his planning timeframe, the climate vulnerability is estimated from climate model projections and observations. We propose a simple tool to relate user and climate expert knowledge by combining the two timescales. To be reliable, the interconnection implies a dialogue to first identify what sensitive climate variable will impact the system and subsequently the extent of the impact. Climate data can then be used to identify, with the use of a simple graph, how sensitive a system is likely to be and help users position themselves about the urgency of adaptation. The concept has been successfully presented and applied to the tourism industry, notably the ski industry, which is showcased in this paper.  相似文献   
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