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Progress in Emission Inventories ofPearl River Delta Region

Junyu (Allen) Zheng, Ph.DSouth China University of Technology

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Context: Emission Inventory

Air pollutant emission inventories arefundamental 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

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2000：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

History in Emission Inventories in PRD

Source: Prof. Liuju Zhong

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Limitations in PRD Emission Inventories

Lack of localized emission factorsDifficulties in activity data collectionHigh uncertainty less work in the spatial, temporal allocation

and chemical speciation

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Newest Available Emission Inventories in PRD

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

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Spatial Distribution of SO2 Emissions

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Spatial Distribution of NOx Emissions

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Spatial Distribution of PM10 Emissions

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Spatial Distribution of VOC Emissions

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Key Findings in PRD Emission Inventories

About 51.4% of SO2 from power plants, 39.9%from industrial sources, and 8.8% from othercategories

41.6 % of NOx emissions were contributed bypower plants, 46% from mobile sources, and12.4% from others.

The industrial, mobile and power plant sourcesare major contributors for PM10 and PM2.5emissions, accounting for 52.6%, 22.3%, and22.8% for the total PM10 emissions and 40.8%,36.2%, and 20.4% for the PM2.5, respectively

Mobile source is the largest contributorresponsible for the 39.9%, and biogenic and VOCproduct-related sources accounting for 24.5% and23.6% of the total VOC emissions in the region

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Key Findings in PRD Emission Inventories

There is relatively low uncertainty in SO2 emissionestimates

Medium to high uncertainty for the NOx emissions, highuncertainty for the NOx emissions are mainly from on-roadand non-road mobile source categories.

High uncertainties exist in the VOC, PM2.5, PM10 andCO emissions due to lack of key representative emissionfactors and large uncertainty in activity data. On-roadmobile, VOC product-related and biogenic sources are keycontributors to the high uncertainty in VOC emissions

Industrial and on-road mobile sources are mainuncertainty sources for leading to high uncertainty inPM10 and PM 2.5 emission estimates.

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Future PRD Inventory Improvement

Enhancement of local emission factordevelopment and proper classification andcollection of activity data.

Improving estimates of emissions from mobilesources will greatly increase the accuracy of NOx,VOC, CO,PM10 and PM 2.5 emission estimates inthe PRD region.

The industrial sources, especially for nonmetallicmineral products industry, should be prioritized forimproving the estimates for PM2.5 and PM10emissions.

Enhancement of collection of activity data for theVOC-related product sources will be helpful forimproving VOC emission estimates.

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Future PRD Inventory Improvement

More work are needed for improvingtemporal and spatial allocations

An open data sharing policy amongdifferent parties will be another importantway to improve the PRD regional emissioninventory.

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