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

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.

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

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

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

Regional BVOCs Emissions in the YRD Emission contribution Base year: 2013 Method: MEGANv2.10 BVOC Emissions: YRD: 2246.3kt 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

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.

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

Improvement of ozone modeling Previous Previous Maximum 8-hour ozone

Ozone source apportionment based on OSAT

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

Further work Local emission factor measurement Uncertainty Assessment