1. Lily Li, Qing Lu, Jingyu An, Cheng Huang
17th GEIA Conference
Update of the Biogenic VOC Emissions Inventory and Its Application in the Improvement of Ozone Modeling in Yangtze River Delta Region, China
Lily Li, Qing Lu, Jingyu An, Cheng Huang
Shanghai Academy of Environmental Sciences
State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex

2. Modeling of a high ozone pollution episode
WRF-CAMx/OSAT
During this period, surface meteorological data show that the average surface temperature was high, the relative humidity was low, and the solar radiation was strong. The average temperature was (32.5±3.8)℃，and the maximum hourly temperature reached 41.8 °C. The average relative humidity was (55.0±12.9)%, and the solar radiation was (246.4±296.7)W·m-2·s-1. These conditions were very favorable for the O3 formation through photochemistry. The O3 hourly concentration was 67.3±57.3μg·m-3, and the maximum reached 251.6μg·m-3. According to China’s new ambient air quality standards for hourly O3 concentration, the hours with O3 concentration exceeding 200g m-3 (Grade II) were 28, occupying 4.1% of the total hours. According to China’s new ambient air quality standards for 8-hour O3 concentration, the day with maximum 8-hour O3 concentration exceeding 160g m-3 (Grade II) were 7, occupying 22.6% of the whole month.
High intensity of photochemical pollution occurred in many cities in the Yangtze River Delta, showing an obvious regional pollution characteristics.

3. Big gap between observed and predicted ozone
Area
NOx
VOCs
Anthropogenic Emissions-Update
YRD
281.7
369.0
Biogenic Emissions-Old
---
109.6
Total
478.6
Site
Type
Avg
Bias
NMB( %)
NME( %)
IOA R2 SH
Obs
42.45
-0.55
-47.49
51.6
0.79
0.63
Mod
22.29 SZ
43.21
-0.49
-47.58
50.11
0.75
0.58
22.65 HZ
43.07
-0.15
-38.16
48.77
0.72
0.46
26.63
Suzhou
Shanghai
Hangzhou

4. AVOCs and speciation have been updated
+33%
VOCs: 3.69 Mt
Huang et al., ACP, 2011
Li et al., ACP, 2011
Wang et al., AAQR, 2014

5. Update of BVOC emissions based on MEGAN
Source: Guenther., 2012
LAI: a 1-km resolution leaf area index (LAI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) product
Weather: WRF
PFT: 16 plant functional type (PFT) classification scheme used in the community land model
EF: global EF datasets provided along with the MEGAN2.1 model.
Broad-leaved forest
Coniferous forest
Crop
Grassland

6. Regional BVOCs Emissions in the YRD Emission contribution
Base year: Method: MEGANv2.10 BVOC Emissions: YRD: kt
Previous BVOC Emissions: YRD: 109.6kt
Emissions
Emission contribution
Unit: kt/year
Acetone: 丙酮
Sesquiterpene：倍半萜烯
150 compounds: 146 VOCs, 2 NOx, CO and NH3;
Main compounds (YRD region): Isoprene (44%), Monoterpene (14%), Methanol (21%), Acetone (4%), Sesquiterpene (2%) 6

7. Temporal profile of BVOC emissions Emission Rate VS Monitoring Data
Monthly Change
Month
Emission rate
Monitor data
Jan
0.4
3.6
Feb
0.7
2.4
Mar
1.8
Apr
3.7
May
6.9
7.2
Jun
9.5
13.3
Jul
30.2
24.1
Aug
28.3
18.1
Sep
12.0
9.6
Oct
4.4
4.8
Nov
1.5
Dec
0.5
6.0
Emission rate: The biogenic isoprene emission contribution of each month in the Shanghai.
Monitoring data: The ambient isoprene concentrations at SAES in Shanghai.

8. BVOCs VS Anthropogenic VOCs
BVOCs VS AVOCs
YRD VS PRD
Emission
Contribution
AVOCs
PRD data Source: Ou （2014）
PRD: Pearl River Delta YRD: Yangtze River Delta
BVOCs: Biogenic VOCs AVOCs: Anthropogenic VOCs

9. Improvement of ozone modeling
Previous
Previous
Maximum 8-hour ozone

10. Ozone source apportionment based on OSAT

11. Thank you! lili@saes.sh.cn Shanghai Academy of Environmental Sciences

12. Further work
Local emission factor measurement
Uncertainty Assessment