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Simulation of Ozone and PM in Southern Taiwan

Simulation of Ozone and PM in Southern Taiwan. Yee-Lin Wu and Der-Min Tsai Department of Environmental Engineering National Cheng Kung University Tainan, Taiwan. Background: Monitoring sites. Background:. Background: PM 10 seasonal variations. Background: conc. of particulate matter.

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Simulation of Ozone and PM in Southern Taiwan

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  1. Simulation of Ozone and PM in Southern Taiwan Yee-Lin Wu and Der-Min Tsai Department of Environmental Engineering National Cheng Kung University Tainan, Taiwan

  2. Background: Monitoring sites

  3. Background:

  4. Background: PM10 seasonal variations

  5. Background: conc. of particulate matter Sampling duration: Oct. 1998 ~ Feb. 1999

  6. Background: conc. of particulate matter

  7. Objectives • To evaluate the performance of Models-3/CMAQ for ozone and PM simulation in southern Taiwan

  8. Methods: emission • Sparse Matrix Operator Kernel Emission modeling system ( SMOKE ) • TEDS 4.2: SOx, NOx, CO, PM and VOCs • point, area and mobile sources: • emission inventory come from TEDS 4.2 • using RADM mechanism to treat the VOCs • temporal variations using measurement and TEDS • biogenic: • 7 types of land use in Taiwan • based on BEIS II emission factors

  9. Results: Emission

  10. Methods: Models-3/CMAQ • Chemical mechanism: RADM2 • Aerosol module: aero2 (RPM) • Cloud: RADM • Without plume in grid module • Four domains simulation • 15 layers of sigma layer • Simulation duration: 1996/11/21~26

  11. Methods: Grid information

  12. Results: Concentrations compare with measurement data ( NanZi )

  13. Results: (simulation - observation)/observation

  14. Results: fine particle

  15. Results: fine particle

  16. Results: fine particle

  17. Results: fine particle

  18. Conclusions • Models-3/CMAQ had been established for simulation of ozone and PM in Taiwan. • Biogenic emissions are likely to be underestimated by using BEIS II and 7 type of land use in Taiwan

  19. Conclusions • Simulation results: • Primary pollutant ( CO, NO ) concentrations agreed with measurement data fairly; • NO2 concentration was in better agreement with measurement data. However, peak ozone concentration was significantly underestimated.

  20. Conclusions • Simulation results: • Simulated concentrations of nitrate were greater than those of sulfate; however, the opposite was observed in the field. Simulated nitrate concentrations were more consistent with measured than those for sulfate. • Diurnal variations of NO3- and HNO3 were similar between simulation and observation. However, the peak concentrations of HNO3 and NO3- were not in the same ranges.

  21. Acknowledgements • We would like to thank Taipower and EPRI for supporting the project and to Prof. C. Wu for the meteorological simulation by MM5.

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