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Building Emission Inventory for Regional Air Quality Modeling in China

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Presentation on theme: "Building Emission Inventory for Regional Air Quality Modeling in China"— Presentation transcript:

1 Building Emission Inventory for Regional Air Quality Modeling in China
K. He1, Q. Zhang1, L. Wang1, D. Streets2, J. Fu3, J.Woo4 1Tsinghua University, Beijing, China 2Argonne National Laboratory, Chicago, USA 3Uinversity of Tennessee, Knoxville, USA 4Northeast States for Coordinated Air Use Management, Boston, USA 2nd ICAP Workshop, Friday Center of Chapel Hill, Oct , 2004

2 Occurrence Frequency of Each Pollutant as Major Pollutant of 42 Key Cities in China 2001-2004.5

3 Air Pollution Index (API) of SO2 in Beijing: 2000-2002

4 Air Pollution Index (API) of NO2 in Beijing: 2000-2002

5 Air Pollution Index (API) of O3 in Beijing: 2000-2002

6 PM2.5 sampling locations Miyun (MY) Changping (CHP) Tsinghua (THU)
Chegongzhuang (ZGC) Tian’anmen Square (TAM)

7 Weekly Average Concentration of PM2.5 in Beijing: 1999-2003

8 Two Types of Emission Inventories
Local Inventory Bottom-up, device based emissions Exact emission locations Less uncertainties, but Only available in limited areas Regional Inventory Top-down, sector based emissions Gridding by allocation factors More uncertainties, but Available for large areas

9 Building Inventory for Regional Air Quality Modeling
Similar methodology with Trace-P inventory Top-down method, but technical based emissions More technical splits with sectors Embed local inventory to regional inventory

10 Approaches to Activity Data
Statistical yearbook & database Activity data at sector level: energy balance table, industrial productions, vehicle populations, etc Technical reports and papers Technical split within sectors Energy demand model Energy consumptions by fuel, by device type

11 Technical Split for Coal Combustion Devices
Good Efficiency Moderate Efficiency Poor Efficiency Lime

12 Energy Demand Model for Domestic Sector

13 Share of Energy Use by Device Type in Domestic Sector, Beijing
Automatic Boiler HandStoker, Medium Hand Stoker, Small Stove Well developed distributed heating Change small coal boilers to natural gas Decrease of coal use in rural areas

14 Methodology for Transportation Sector

15 Approaches to Emission Factors
Chemical balance Raw gas factors (SO2, Primary PM, Hg) Technical reports and papers Fuel characteristics, Operating practice, Control equipments Field measurement Final emission factors, Removal efficiency International EF database When lack of local measurement data (BC/OC, VOC)

16 Updated CO Emission Inventory for China
40% higher than Trace-P

17 Embed Local Inventory to National Inventory

18 Difference of Two Inventories: Total Emissions
PM10 PM2.5 NOx VOC SO2 CO *: CO emission unit: 10t/y Local/Trace-P in Beijing Urban Areas:

19 Difference of Two Inventories: Grid Emissions
Power Plants Power Plants Local Trace-P SO2 Emissions, 4km grid

20 Beijing Regional Modeling: O3
TRACE-P EMs Trace-P+Beijing EMs (July 4-20, 2001, episode max.) Source: Fu, et.al. 2004

21 Progress and Future Work
CO Primary PM: TSP, PM10, PM2.5 BC/OC VOC Field measurement for PM2.5/BC/OC emission factors

22 Acknowledgment USEPA and SEPA IES Project GM and NSFC Dr. Carey Jiang
Tsinghua University

23 Thanks!

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