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Modeling framework for exploring emission impacts of alternative future scenarios

机译:探索替代未来方案的排放影响的建模框架

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This article presents an approach for creating anthropogenic emission scenarios that can be used to simulate future regional air quality. The approach focuses on energy production and use since these are principal sources of air pollution. We use the MARKAL model to characterize alternative realizations of the US energy system through 2050. Emission growth factors are calculated for major energy system categories using MARKAL, while growth factors from non-energy sectors are based on economic and population projections. The SMOKE model uses these factors to grow a base-year 2002 inventory to future years through 2050. The approach is demonstrated for two emission scenarios: Scenario 1 extends current air regulations through 2050, while Scenario 2 applies a hypothetical policy that limits carbon dioxide (CO2) emissions from the energy system. Although both scenarios show significant reductions in air pollutant emissions through time, these reductions are more pronounced in Scenario 2, where the CO2 policy results in the adoption of technologies with lower emissions of both CO2 and traditional air pollutants. The methodology is expected to play an important role in investigations of linkages among emission drivers, climate and air quality by the U.S. EPA and others.
机译:本文介绍了一种创建人为排放情景的方法,该方法可用于模拟未来的区域空气质量。该方法侧重于能源生产和使用,因为这些是空气污染的主要来源。我们使用MARKAL模型来表征到2050年美国能源系统的替代实现。使用MARKAL来计算主要能源系统类别的排放增长因子,而来自非能源行业的增长因子则基于经济和人口预测。 SMOKE模型利用这些因素将到2050年的2002年基准年清单增加到未来几年。该方法针对两种排放情景进行了演示:情景1将当前的空气法规延伸到2050年,而情景2应用了限制二氧化碳的假设性政策(来自能源系统的CO 2 )排放。尽管两种情况都显示了随着时间的推移空气污染物排放量的显着减少,但这些减少在情况2中更为明显,在这种情况下,CO 2 政策导致采用了两种CO 2排放量都较低的技术和传统的空气污染物。预期该方法将在美国EPA等机构研究排放驱动因素,气候和空气质量之间的联系方面发挥重要作用。

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