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Dr. Xinguang CUI(LBL)在我室报告
来源:LASG    访问次数:    更新时间:2017-3-30

Top-down estimating the green house gases emissions in CA

Dr. Xinguang CUI
Lawrence Berkeley National Laboratory

2017年3月30日(星期四)15:00
科研楼303会议室

Abstract

The climate change is not a threat in distant and it has become a focus of the human society today. In 2006, the state of California legislated an landmark bill of Assembly Bill 32 (AB32), targeting to reduce the greenhouse gases (GHGs) emissions in the state to 1990 levels by 2020. This leads to a plenty of efforts to measure, quantify, and mitigate emissions of a variety of key GHGs. Both the bottom-up inventory and top-down inversion are important methods to accurately estimate the GHGs emissions. Bottom-up inventories estimate the total GHGs emission by aggregating emission estimates from spatial and temporal distributions of known GHG sources. This approach has multiple strengths but it can be limited by incomplete knowledge of processes that contribute to GHGs emissions. Additionally, atmospheric inverse modeling is a complementary approach to qualify GHG emissions without requiring complete knowledge of individual sources and provide improving estimate of GHGs emissions. In this context, several projects have been conducted in LBNL towards qualifying the GHGs emissions in CA using atmospheric measurements and inverse modeling and most recent results will be introduced in this talk.

 

 
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