气象因素对“2+26”城市春节期间PM2.5污染影响模拟研析

The Impacts of Meteorological Parameters on PM2.5 Simulations in“2+26”Cities during Spring Festival

本研究采用不同气象再分析资料和边界层方案搭配组合成四种气象参数化方案,对比分析了不同参数化方案对模拟2019年和2020年春节期间温度差、气压差、风速差、湿度差和边界层高度(PBLH)差的影响,并对比分析了不同气象参数化方案对模拟2019年和2020年春节期间气象差异导致PM2.5浓度差异的影响。结果显示,四种气象参数化方案模拟出的2019年和2020年春节期间“2+26”城市平均温度差最大差异幅度为0.21℃,平均气压差最大差异幅度为55.48 Pa,平均风速差的最大差异幅度为0.04 m/s,平均湿度差的最大差异幅度为1.98%,平均PBLH差的最大差异幅度为23.31 m。“2+26”城市两年春节期间气象差异导致的PM2.5浓度差在不同气象参数化方案下的最大差异幅度的最大值为30.94μg/m3,最小值为1.16μg/m3,“2+26”城市平均PM2.5浓度差的最大差异幅度值为4.04μg/m3。

Differences of modeled temperature,air pressure,wind speed,humidity and boundary layer height were compared between 2019 and 2020 Spring Festival periods under four combinations of meteorological reanalysis data and boundary layer schemes in this study.The impacts of different sensitive cases on simulating PM2.5 differencs that caused by meteorology differencs between 2019 and 2020 Spring Festival periods are also analyzed.The results show that under the four combinations of meteorological parameters,the maximum deviations of simulated temperature,air pressure,wind speed,humidity and PBLH differences averaged over“2+26”cities during the Spring Festival of 2019 and 2020 are 0.21℃,55.48 Pa,0.04 m/s,1.98%and 23.31 m respectively.The maximum deviation of simulated PM2.5 differences caused by meteorology in“2+26”cities during the Spring Festival of 2019 and 2020 is 30.94μg/m3,the minimum value is 1.16μg/m3,and the averaged value is 4.04μg/m3.