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Civic Exchange 2009 The Air We Breathe Conference - Progress in Emission Inventories of Pearl River Delta Region
 

Civic Exchange 2009 The Air We Breathe Conference - Progress in Emission Inventories of Pearl River Delta Region

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Civic Exchange 2009 The Air We Breathe Conference - Experts Symposium 9 January 2009 ...

Civic Exchange 2009 The Air We Breathe Conference - Experts Symposium 9 January 2009

Progress in Emission Inventories of Pearl River Delta Region
presented by Dr Allen Zheng (South China University of Technology)

http://air.dialogue.org.hk

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    Civic Exchange 2009 The Air We Breathe Conference - Progress in Emission Inventories of Pearl River Delta Region Civic Exchange 2009 The Air We Breathe Conference - Progress in Emission Inventories of Pearl River Delta Region Presentation Transcript

    • Progress in Emission Inventories of Pearl River Delta Region Junyu (Allen) Zheng, Ph.D South China University of Technology 1
    • Context: Emission Inventory  Air pollutant emission inventories are fundamental information for:  emission trend characterization  emission budgeting for regulatory and compliance purposes  assessment of pollution control strategies  predication of ambient pollutant concentrations and health effect  emission trading 2
    • History in Emission Inventories in PRD The first EI of PRD for 1997 2002 The second EI of PRD for 2001 2003 Developing the EI manual of PRD jointly by GDEMC and HKEPD 2005~2007: Developing and reviewing the EI of 2003 using the EI manual 2008: GDEPD and HKEPD publicly released the 2003-based EIs in the PRD 3 Source: Prof. Liuju Zhong
    • Limitations in PRD Emission Inventories  Lack of localized emission factors  Difficulties in activity data collection  High uncertainty  less work in the spatial, temporal allocation and chemical speciation 4
    • Newest Available Emission Inventories in PR D  Base Year: 2006  Pollutants: SO2, VOC, NOX, PM10, PM2.5, CO  Source Categories  Power plants  Industrials sources  Mobile sources  VOC products sources  Biogenic sources  Other sources 5
    • Spatial Distribution of SO2 Emissions 6
    • Spatial Distribution of NOx Emissions 7
    • Spatial Distribution of PM10 Emissions 8
    • Spatial Distribution of VOC Emissions 9
    • Key Findings in PRD Emission Inventories  About 51.4% of SO2 from power plants, 39.9% from industrial sources, and 8.8% from other categories  41.6 % of NOx emissions were contributed by power plants, 46% from mobile sources, and 12.4% from others. The industrial, mobile and power plant sources are major contributors for PM10 and PM2.5 emissions, accounting for 52.6%, 22.3%, and 22.8% for the total PM10 emissions and 40.8%, 36.2%, and 20.4% for the PM2.5, respectively  Mobile source is the largest contributor responsible for the 39.9%, and biogenic and VOC product-related sources accounting for 24.5% and10 23.6% of the total VOC emissions in the region
    • Key Findings in PRD Emission Inventories  There is relatively low uncertainty in SO2 emission estimates  Medium to high uncertainty for the NOx emissions, high uncertainty for the NOx emissions are mainly from on-road and non-road mobile source categories.  High uncertainties exist in the VOC, PM2.5, PM10 and CO emissions due to lack of key representative emission factors and large uncertainty in activity data. On-road mobile, VOC product-related and biogenic sources are key contributors to the high uncertainty in VOC emissions  Industrial and on-road mobile sources are main uncertainty sources for leading to high uncertainty in PM10 and PM 2.5 emission estimates. 11
    • Future PRD Inventory Improvement  Enhancement of local emission factor development and proper classification and collection of activity data.  Improving estimates of emissions from mobile sources will greatly increase the accuracy of NOx, VOC, CO,PM10 and PM 2.5 emission estimates in the PRD region.  The industrial sources, especially for nonmetallic mineral products industry, should be prioritized for improving the estimates for PM2.5 and PM10 emissions.  Enhancement of collection of activity data for the VOC-related product sources will be helpful for improving VOC emission estimates. 12
    • Future PRD Inventory Improvement  More work are needed for improving temporal and spatial allocations  An open data sharing policy among different parties will be another important way to improve the PRD regional emission inventory. 13
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