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 transcript:

Multi-resolution Emission Inventory for China (MEIC): model framework and 1990-2010 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. 18-20, 2015, Beijing, China

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

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

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)

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

Unit-based emission inventory from power plants in China

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

NMVOC speciation in MEIC database

SO2 NOx VOC CO PM2.5 BC OC NH3 CO2

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

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!

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

Emissions data processed and delivered through an online system http://www.meicmodel.org

Thank you for your attention!