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Area sources and their importance for population exposure (Dispersion modelling in Taiyuan, China) Liu, Li (Norwegian Institution for Air Research/UIO)

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Presentation on theme: "Area sources and their importance for population exposure (Dispersion modelling in Taiyuan, China) Liu, Li (Norwegian Institution for Air Research/UIO)"— Presentation transcript:

1 Area sources and their importance for population exposure (Dispersion modelling in Taiyuan, China) Liu, Li (Norwegian Institution for Air Research/UIO) Larssen, Steinar (Norwegian Institution for Air Research) Cao, Jie (Shanxi Environmental Information Center) Zhang, Daisheng (Shanxi Environmental Information Center) 17-19 Oct.2004 Oslo, Norway

2 Master Plan Against Air Pollution in Shanxi Province Data collection (Emission etc.) A dispersion model system (AIRQUIS) has been used for cities to study surface concentraions and exposures for basecase (2000) and different control options and scenarios By using model results and cost-benefit analysis in order to have action plan for air pollutions reduction

3 Master Plan Against Air Pollution in Shanxi Province Datong Taiyuan Yangquan Model studies in 3 cities 11 cities analysis on province level Will use Taiyuan as an example to show the importance of contributions by point sources and area souces (house holds etc.)

4 Pollution situation in Taiyuan Days above upper limits (2000) 75% days SO 2 above limits 68% days TSP above upper limits 8% days NOx above upper limits

5 Taiyuan Emission Database SO 2 Point sources : - 56 industries - 247 stacks Area sources : - Households - 734 third industry companies - 428 small industries TSP Point sources : - 85 industries - 221 stacks Area sources : - Households - 660 third industry companies - 441 small industries

6 Emission Inventory SO 2 Point sources : - Emission: 130,477 ton/year Area sources : - Emission: 188974 ton/year 47.9% Households 34.0% Third industry companies 18.1% small industries TSP Point sources : - Emission: 63258 ton/year Area sources : - Emission: 202922 ton/year 31.0% Households 35.2% Third industry companies 33.8% Small industries

7 Taiyuan administrative area /The AirQUIS model grid, Point source locations/ Total area source emissions in each of the districts. Point sources: SO2: 247 stacks TSP: 221 stacks

8 Seasonal variation factor Heating season SO2: 1.6 TSP: 1.2

9 Contribution to concentration and exposure (SO 2 ) (Simulation experiments) Basecase: Emission in year 2000 point sources/households Scenario 1: Emission control to households Emission reduction: 54483 ton/year Scenario 2: Emission control to power plants Emission reduction: 57960 ton/year

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11 Surface concentration (All point sources) Surface concentration (Households)

12 Exposure Number of persons exposed to SO 2 concentration above 60ug/m 3 in each grid (1km × 1km)

13 Exposure to SO 2 pollution (All point sources) Exposure to SO 2 pollution (Households)

14 Improvement of surface concentration (Control options applied to Power Plants) Improvements of exposure to SO2 pollution ( after Control options applied to Power Plants)

15 Improvement of surface concentration (Control options applied to households) Improvements of exposure to SO 2 pollution ( after Control options applied to households)

16 Summary: 1.SO2 emission from point sources is smaller than area sources in Taiyuan. Emission from house holds sector is about 2/3 of total point sorces emssions. 2.The TSP emission from area sources is about 3 times of emission from point sources. Emission from house holds sector is about the same compared with total point sources. 3.The emissions both for SO2 and TSP from ´The third industrial companies´ are important as well. Maybe less import for indoor air quality, but it has strong impact on surface concentrations. 4.Area sources have much higher risk for increasing the surface concentration and population exposure to air pollution 5.The control options applied to area sources are much more efficient to improve the air quality and health damage


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