摘要: 采用新一代区域空气质量预报模式(WRF-Chem V3.9)对2017年1月22~28日发生在成都地区的重度雾霾过程进行研究。将模拟结果中的2米气温(T2)、PM_2.5质量浓度指数和AQI评分与观测数据进行对比；同时对比模拟结果中包含和不包含化学过程的结果，探讨大气化学过程对雾霾过程的影响，得出以下结论：1) WRF-Chem模拟的2米气温日变化幅度小于实测值3℃，日均值比实测值低2.5℃，在低温日，模拟结果与观测更为接近；2) PM_2.5的模拟值较观测偏低80；3) AQI模拟值日变化特征明显，但较实测值偏低50；4) 相较于不包含大气化学过程的模拟，包含大气化学过程的模拟使模式中心站气温偏低0.5℃，边界层高度降低55 m，表明大气化学过程有利于温度降低，边界层高度降低，增加了大气稳定度，促使近地层污染物浓度进一步增加，反映了大气化学过程与污染物浓度的正反馈关系。

Abstract: This paper used the new generation of regional air quality model Weather Research and Forecasting with Chemistry V3.9 (WRF-Chem V3.9) to study on a heavy smoggy weather over Chengdu region from January 22 to January 28, 2017. After comparing the simulated results with observation data of 2 m temperature (T2), PM_2.5 and AQI, the atmospheric chemical processes of smog were further discussed by comparing the results with and without chemical processes. The conclusions were as following: 1) The daily variation of the simulated T2 was less than the observed T2 by 3˚C. The daily mean T2 was 2.5˚C lower than the observed T2. In cold days, the result of simulated T2 was better. 2) The simulated value of PM_2.5 was lower than the observed values by 80. 3) The daily variation of simulated AQI was obvious, but it was 50 lower than the observed data. 4) With chemical processes, the T2 of simulation center station was 0.5˚C lower, and the planetary boundary layer height (PBLH) was reduced by 55 m. It showed that the atmospheric chemical processes was conducive to the reduction of temperature, the reduction of the PBLH, and the increase of atmospheric stability, leading to the increase of pollutants concentration. In other words, the results reflected the positive feedback relationship between the atmospheric chemical processes and the concentration of pollutants.