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Multi-resolution Emission Inventory for China (MEIC): model framework and 1990-2010 anthropogenic emissions Kebin He School of Environment Tsinghua University,

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Presentation on theme: "Multi-resolution Emission Inventory for China (MEIC): model framework and 1990-2010 anthropogenic emissions Kebin He School of Environment Tsinghua University,"— Presentation transcript:

1 Multi-resolution Emission Inventory for China (MEIC): model framework and anthropogenic emissions Kebin He School of Environment Tsinghua University, Beijing, China With contribution from Q. Zhang, X. Yu, F. Liu, B. Zheng, M. Li, S. C. Kang, Y. Lei, H. Huo, Z. L. Yao, C. P. Hong, Q. Zhang, C. H. Chen, S. W. Wang, and G. N. Geng Presented at 17th GEIA Conference Nov , 2015, Beijing, China

2 Purpose of MEIC model Understand magnitudes, trends, and driving forces of anthropogenic emissions in China Speed up the development process and update inventories timely Provide a rich emissions dataset to the community with constant methodology and underlying data Support climate and air quality modeling at different spatial resolution and time scale

3 Technology based emission inventory
动态排放清单计算和数据处理模块开发 MEIC model framework Technology based emission inventory VOC speciation Spatial allocation PP IND RES TRAN Output: Multi-resolution gridded emissions for climate/air quality models

4 Technology based emission inventory
ID1 ID2 ID3 ID4 ID1: sectors ID2: fuel/product ID3: technology ID4: emission control Temporal profiles Spatial Proxies Activity rates (A) Tech. Splits (X) Removal Efficiency (ƞ) VOC profiles Emission Factors (EF) Emissions = A×X×EF× (1-ƞ)

5 Technology based methodology: cement works
Technology Distribution Evolution of Emission Factors 5

6 Unit-based emission inventory from power plants in China

7 Approach for a high resolution vehicle emission inventory
Vehicle population by county Vehicle EFs by county EF correction factors derived from meteorological condition Vehicle growth function Technology distribution Road density

8 NMVOC speciation in MEIC database

9 SO2 NOx VOC CO PM2.5 BC OC NH3 CO2

10 Emission maps by sector: 2010 NOx
Power plants Point sources: - Power plants - Cement works - Iron & steel - Oil refineries - Gas stations Spatial proxies: - Industrial GDP - Populations - Urban/rural - Road network

11 Emissions data in MEIC database
Years: 1990- Spatial domain: Mainland China Categories/Sectors: ~800 anthropogenic sources, aggregated to four sectors (Power, Industry, Residential, Transportation) Species: SO2, NOx, CO, NMVOC, NH3, BC, OC, PM2.5, PM10, and CO2 VOC speciation: ~600 individual species, lumped to five mechanisms (SAPRC99, SAPRC07, CB05, CBIV, RADM2 and RACM2) Spatial resolution: user defined Work in progress!

12 Current users of MEIC database
East Asia North America The MEIC database is open accessed to the science community. More than 200 users globally. Europe

13 Emissions data processed and delivered through an online system

14 Thank you for your attention!


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