4. Composition of PM2.5
Particulate Matter (PM) consists of solid and liquid particles.
Classification of
Particulate Matter
Description
Primary Emitted at the emissions source in particle form.
Secondary
Formed from a series of chemical and physical reactions
involving different precursor gases, such as SOx and
NOx, NH3 and ozone (O3) reacting to form sulphate,
nitrate and ammonium particulate matter.
11. Assumptions
• Emission rates and stack parameters taken from an existing Thermal Electric
Power Generation Plant
• Coal-fired plant with six generating units
• Capacity: 2,141 MW
• Total NOx Rate: 26,038 t/yr
• Total SO2 Rate: 26,379 t/yr
Stack Height (m) Diameter (m)
Exit Velocity
(m/s)
Exit
Temperature
(°C)
1 156 6.4 33.2 171.2
2 155.5 7.3 32.2 153.6
3 155.5 7.3 35.9 154
12. • Ozone (O3) and NH3 concentration from 5 stations in British Columbia
• Ozone (O3) concentrations
• Average: From five local stations over 12 months
• Seasonal: 3 month averages from five local stations
• Ammonia concentrations
• Average: From 5 local stations over 12 months
• Maximum: Maximum reported concentration of 5 local stations over 12
months
• Minimum : Minimum reported concentration of 5 local stations over 12
months
• Seasonal: 3 month averages from five local stations
Assumptions
13. Modeling
• 50 km x 50 km model
domain
• One year of prognostic
mesoscale
meteorological model
(MM5) data with
resolution of 4 km
• CALMET, resolution 1
km, produced in one
season
Model Domain (Red Outline)
14. Modeling
• SPM formation not accounted for by AERMOD
• CALPUFF used to estimate SPM ambient levels.
• Chemistry modules:
• MESOPUFF: SO2, SO4
+, NOx, HNO3, NO3
−
• RIVAD/ARM3: NO, NO2, NO2 NO3, SO2 NO3
15. • Modeled 6 cases based on background NH3 and O3 concentrations from measured
data in the model domain
Case Ammonia (NH3) Ozone (O3)
Case 1: Average Average Average
Case 2: Maximum Maximum Average
Case 3: Minimum Minimum Average
Case 4: Seasonal NH3 Seasonal Average
Case 5: Seasonal NH3 & O3 Seasonal Seasonal
Case 6: Default Model default Model default
Assumptions
16. • Background concentrations from measured data in the model domain
Case
Ammonia (NH3) [ppb,
µg/m3]
Ozone (O3) [ppb, µg/m3]
Case 1: Average 2.3, 1.6 16, 32
Case 2: Maximum 13, 9.1 16, 32
Case 3: Minimum 0.05, 0.04 16, 32
Case 4: Seasonal NH3 0.5-7.4, 0.3-5.2 16, 32
Case 5: Seasonal NH3 & O3
0.5-7.4, 0.3-5.2 9-24, 18-48
Case 6: Default 10, 7 10 , 20
Assumptions
22. 0.0
0.5
1.0
1.5
2.0
2.5
0-5 km 5-10 km 10-15 km 15-20 km 20-25 km
Concentration(µg/m3)
Distance from Source (km)
Average 24-Hour PM2.5 Concentrations
Average
Maximum
Minimum
Seasonal NH3
Seasonal O3+NH3
Default
Results
25. -100
0
100
200
300
400
500
24 Hour Concentrations from Seasonal O3+NH3
Average Maximum
Minimum Seasonal NH3
Default
-100
0
100
200
300
400
500
0 5 10 15 20 25
Annual Concentrations from Seasonal O3+NH3
Distance from Source (km)
PercentChangeinConcentration
Results
26. Summary of Findings
• Ammonia in ambient air can react with NOx and SO2 to form
ammonium nitrate and ammonium sulphate, i.e. SPM
• AERMOD does not have the capability to predict SPM
• CALPUFF has 2 chemistry modules; RIVAD and MESOPUFF II
• Keeping O3 level constant there’s a direct relationship between NH3 and
SPM formation
• Using default NH3 and O3 levels provides overestimated SPM, which are
150 to 450% more than using seasonal NH3 and O3 levels
• Keeping O3 levels constant using an single average for SPM formation
can provide similar value if using variable seasonal O3 and NH3 levels
with season (between 9 and 25 percent less than using seasonal NH3
and O3 levels)Ozone has a significant role in SPM formation