36 11 2015 11 ENVIRONMENTAL SCIENCE Vol 36 No 11 Nov 2015 * - - 210044 WRF /Chem 2013 8 10 ~ 18 11 ~ 13 h 15 00 WRF /Chem X51 A 0250-3301 2015 11-3981-08 DOI 10 13227 /j hjkx 2015 11 006 Modeling Study of A Typical Summer Ozone Pollution Event over Yangtze River Delta ZHANG Liang ZHU Bin * GAO Jin-hui KANG Han-qing YANG Peng WANG Hong-lei LI Yue-e SHAO Ping Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing 210044 China Abstract WRF /Chem model was used to analyze the temporal and spatial distribution characteristics and physical and chemical mechanism of a typical summer ozone pollution event over Yangtze River Delta YRD The result showed that the model was capable of reproducing the temporal and spatial distribution and evolution characteristics of the typical summer ozone pollution event over YRD The YRD region was mainly affected by the subtropical high-pressure control and the weather conditions of sunshine high temperature and small wind were favorable for the formation of photochemical pollution on August 10-18 2013 The results of simulation showed that the spatial and temporal distribution of was obviously affected by the meteorological fields geographic location regional transport and chemical formation over YRD The sensitivity experiment showed that the concentration affected by maritime airstream was low in Shanghai but the impact of Shanghai emissions on the spatial and temporal distribution of concentration over YRD was significant The main contribution of the high concentration of in Nanjing surface was chemical generation alkene and aromatic and the vertical transport from high-altitude whereas the main contribution of the high concentration of in Hangzhou and Suzhou was physics process The influence of the 15 00 peak concentration of over YRD was very obvious when precursor was reduced at the maximum formation rate 11-13 h Key words ozone WRF /Chem process analysis emission source Yangtze River Delta Ling 18 VOCs 19 VOCs 1 ~ 3 4 ~ 8 20 NO x VOCs 9 ~ 13 14 15 16 17 21 2015-05-16 2015-06-23 41275143 201206011 12KJA170003 1989 ~ E-mail 841719192@ qq com * E-mail binzhu@ nuist edu cn
3982 36 60 50 50 12 km 22 27 NCEP Jeon 23 1 1 6 h WRF /Chem CBM-Z 55 NO x /VOCs Zhu 134 24 Fast-J 25 26 Lin RRTM Goddard Noah Huang 27 Jiang 28 TKE The Intercontinental Chemical Transport Experiment-Phase B INTEX-B 2006 Model of Emissions and Gases from Nature MEGAN Model for Ozone And Related Chemical Traces version 4 MOZART-4 2013 8 7 ~ 18 - WRF / Chem 1 3 http / /gb weather gov hk / contentc htm 8 10 ~ 18 1 1 1 2013 8 10 ~ 18 1 1 2 WRF /Chem NCAR 30 100 10-9 PNNL NOAA 8 11 12 13 14 17 8-29 10 11 12 8 10 11 12 15 8 19 ~ 23 / 1 4 1 8 10 ~ 18 32 N 119 E Lambert 30
11 3983 8 14 8 10 ~ 18 8 15 16 0 87 0 85 0 82 Fig 1 1 Comparison of simulation and observation results of the meteorological condition and concentration in Nanjing Suzhou Hangzhou 2 2 1 2 VOCs NO 15 2013 8 10 ~ 18 3 d 3 a ~ 3 d 8 10 ~ 18 12 00 15 00 18 00 21 00 15 00 18 00 21 00 3 b 15 00 3 f 3 e ~ 3 h 8 10 ~ 18 12 00
3984 36 2 000 m 3 h 500 ~ 1 000 m Fig 2 2 VOCs NO Horizontal distribution of VOC and NO emission sources 3 8 10 ~ 18 12 00 15 00 18 00 21 00 Fig 3 Near-ground average concentration of and wind field at 12 00 15 00 18 00 21 00 on August 10-18 as well as the average concentration of and vertical profile of wind field through Nanjing Suzhou Shanghai 2 2 WRF /Chem NO NO x 4 8 10 ~ 18 500 m 1 000 m 500 m 1 000 m 500 m 500 m
11 3985 500 m 500 m 1 000 m NO x 3 NO x 500 m 1 000 m NO 19 00 500 m 1 000 m 3 d 24 500 m 3 e ~ 3 h 4 NO 1 000 m 500 m 31 4 8 10 ~ 18 500 m 1 000 m Fig 4 Time series of the daily average contributions of concentration over Nanjing Shanghai Hangzhou at surface 500 m 1 000 m and individual physical and chemical processes to concentration to during Augest 10-18
3986 36 2 3 8 12 13 16 18 15 00 7 10-9 13 10-9 9 10-9 24 10-9 Tie 32 16 10-9 4 10-9 27 10-9 64 10-9 NO x VOCs 5 NO x VOCs 450 km 0 5 8 12 13 16 18 15 00 5 Fig 5 8 12 13 16 18 15 00 Distribution of the difference of surface concentration of before and after opening of the Shanghai emission source and the wind field at 15 00 on August 12 13 16 18 2 4 Sillman 33 HCHO /NO y NO x VOC 0 28 NO x 0 28 VOCs 6 8 10 ~ 18 HCHO / NO y VOCs NO x VOCs VOCs VOCs 1 5 6 Run-0 Run-1 Fig 6 Run-2 Run-3 0 8 10 ~ 18 HCHO /NO y Average near-ground ratio of HCHO /NO y and wind field during August 10-18
11 3987 7 8 10 ~ 18 15 00 4 12 00 19 00 11 ~ 13 h Run-4 23 3% 17 2% Table 1 1 1 Sensitivity experiment with different settings Run-0 Run-1 Run-2 Run-3 Run-4 e_eth Y X Y Y X e_hc3 Y X Y Y X e_hc5 Y X Y Y X e_th8 Y Y Y Y X e_ol2 Y Y X Y X e_olt Y Y X Y X e_oli Y Y X Y X e_tol Y Y Y X X e_xyl Y Y Y X X 1 Y X 4 11 ~ 13 h 15 00 24 8% 27 2% 25 2% VOCs VOCs VOCs 7 8 10 ~ 18 15 00 Fig 7 Distribution of the difference of the average near-ground concentration of and wind field 0 87 0 85 0 82 2 for the standard emission source and each sensitivity experiment 3 3 1 8 10 ~ 18 WRF /Chem 11 ~ 13 h 15 00 24 8% 27 2% 25 2% 1 2 M 2006 M 2003
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