摘要
石家庄市历年6月皆为臭氧(O_(3))污染高发阶段,2023年6月O_(3)8h浓度平均值(O_(3)-8h)污染超标天数占该月天数的80%,O_(3)为首要污染物占比达100%.针对6月11~18日的一次O_(3)重污染过程,利用空气质量模型WRF-CMAQ模拟,平均误差数据MFB为−10.47%和MFE为17.96%,处于理想误差水平范围内.利用CMAQ过程分析模块进行石家庄市物理和化学过程模拟,得到干沉降(DDEP)浓度贡献为−23.88μg·m^(−3),是消耗O_(3)的主要过程,而输送过程(TRAN)是O_(3)的主要来源,其中贡献较大为垂直输送(VTRA).同时利用CMAQ中源解析模块(ISAM)对石家庄市本地与周边区域的O_(3)贡献进行了详细分析.结果表明,石家庄市本地行业贡献源的贡献率大小为:交通源(12.54%)>工业源(6.94%)>居民源(6.56%)>电力源(4.75%).而远距离传输源(BCON)持续处于高贡献首位,贡献率为63.31%.平稳天气下的重污染时段,嵌套域D02层中BCON低于标记区域对石家庄市的浓度贡献总和,周边城市中,保定市在平稳天气下贡献率最高,为26.21%.后期邢台市在高值西南风作用下,浓度贡献也迅速升高.要切实减轻O_(3)污染,不仅要对本市减排,还需要对上风向城市进行提前控制,实行区域间联防联控才是关键.
In Shijiazhuang City,ozone(O_(3))pollution occurs frequently in June every year.In June 2023,the average O_(3)8 h concentration(O_(3)-8h)pollution exceeded 80%of the days in the month,and O_(3) was the primary pollutant,accounting for 100%.For an O_(3) heavy pollution process from June 11 to 18,the air quality model WRF-CMAQ was used for simulation,and the average error data MFB and MFE were−10.47%and 17.96%,respectively,which was within the ideal error range.The CMAQ process analysis module was used to simulate the physical and chemical processes in Shijiazhuang City,and the dry deposition(DDEP)contribution concentration was−23.88μg·m^(−3),which was the main process of O_(3) consumption,whereas the transport process(TRAN)was the main source of O_(3),among which the contribution was more significant in vertical transport(VTRA).At the same time,the source analysis module(ISAM)was used to analyze the O_(3) contribution of local and surrounding areas in Shijiazhuang City.The results showed that the contribution rate of local industry sources in Shijiazhuang City was as follows:traffic source(12.54%)>industrial source(6.94%)>residential source(6.56%)>power source(4.75%).The longdistance transmission source(BCON)continued to be in the first place with a high contribution rate of 63.31%.In the heavy pollution period under stable weather,the contribution concentration of BCON in the D02 layer of the nested domain to Shijiazhuang City was lower than the sum of the marked area.Among the surrounding cities,Baoding City had the highest contribution rate under stable weather,accounting for 26.21%.In the late period,the contribution concentration of Xingtai City increased rapidly under the action of highvalue southwest wind.To effectively reduce O_(3) pollution,it is necessary to reduce emissions in the city and to control the upwind cities in advance,and the implementation of interregional joint prevention and control is the key.
作者
耿雅娴
郭婧涵
葛宇轩
王树桥
袁京周
张丁超
王欣
GENG Ya-xian;GUO Jing-han;GE Yu-xuan;WANG Shu-qiao;YUAN Jing-zhou;ZHANG Ding-chao;WANG Xin(School of Environmental Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China;National and Local Joint Engineering Research Center of Volatile Organic Compounds and Odor Pollution Control Technology,Shijiazhuang 050018,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2024年第9期5106-5116,共11页
Environmental Science
基金
国家自然科学基金项目(51804096)
河北省高等学校科学技术研究重点项目(ZD2020345)
河北省自然科学基金项目(B2020208023)
河北省臭氧及PM2.5污染物多源监测与预警体系优化融合研究及示范项目(21373903D)。
