Multiresolution Emission Inventory for China MEIC model framework

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Multi-resolution Emission Inventory for China (MEIC): model framework and 1990 -2010 anthropogenic emissions Kebin

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 17 th GEIA Conference Nov. 18 -20, 2015, Beijing, China

Purpose of MEIC model l l Understand magnitudes, trends, and driving forces of anthropogenic

Purpose of MEIC model l l 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

MEIC model framework 动态排放清单计算和数据处理模块开发 Technology based emission inventory Spatial allocation PP TRAN IND RES

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

Technology based emission inventory Temporal profiles ID 1 Spatial Proxies VOC profiles Removal Efficiency

Technology based emission inventory Temporal profiles ID 1 Spatial Proxies VOC profiles Removal Efficiency (ƞ) ID 2 ID 3 ID 4 Activity rates (A) Emission Factors (EF) Tech. Splits (X) ID 1: sectors ID 2: fuel/product ID 3: technology ID 4: emission control Emissions = A×X×EF× (1 -ƞ)

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

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

Unit-based emission inventory from power plants in China

Unit-based emission inventory from power plants in China

Approach for a high resolution vehicle emission inventory EF correction factors derived from meteorological

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

NMVOC speciation in MEIC database

NMVOC speciation in MEIC database

SO 2 NOx VOC CO PM 2. 5 BC OC NH 3 CO 2

SO 2 NOx VOC CO PM 2. 5 BC OC NH 3 CO 2

Emission maps by sector: 2010 NOx Point sources: - Power plants - Cement works

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

Emissions data in MEIC database l Years: 1990 l Spatial domain: Mainland China l

Emissions data in MEIC database l Years: 1990 l Spatial domain: Mainland China l Categories/Sectors: ~800 anthropogenic sources, aggregated to four sectors (Power, Industry, Residential, Transportation) l Species: SO 2, NOx, CO, NMVOC, NH 3, BC, OC, PM 2. 5, PM 10, and CO 2 l VOC speciation: ~600 individual species, lumped to five mechanisms (SAPRC 99, SAPRC 07, CB 05, CBIV, RADM 2 and RACM 2) l Spatial resolution: user defined Work in progress!

Current users of MEIC database East Asia North America ü The MEIC database is

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

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

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

Thank you for your attention!

Thank you for your attention!