[Simulation and Analysis of Ozone Pollution Process in Shijiazhuang Based on CMAQ-ISAM Model].

Q2 Environmental Science
Ya-Xian Geng, Jing-Han Guo, Yu-Xuan Ge, Shu-Qiao Wang, Jing-Zhou Yuan, Ding-Chao Zhang, Xin Wang
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引用次数: 0

Abstract

In Shijiazhuang City, ozone (O3) pollution occurs frequently in June every year. In June 2023, the average O3 8 h concentration (O3-8h) pollution exceeded 80% of the days in the month, and O3 was the primary pollutant, accounting for 100%. For an O3 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 -23.88 μg·m-3, which was the main process of O3 consumption, whereas the transport process (TRAN) was the main source of O3, 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 O3 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 long-distance 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 high-value southwest wind. To effectively reduce O3 pollution, it is necessary to reduce emissions in the city and to control the upwind cities in advance, and the implementation of inter-regional joint prevention and control is the key.

[基于 CMAQ-ISAM 模型的石家庄市臭氧污染过程模拟与分析]。
石家庄市的臭氧(O3)污染在每年 6 月频繁出现。2023 年 6 月,臭氧 8 h 平均浓度(O3-8 h)在 2023 年 6 月,O3 8 h 平均浓度(O3-8h)超过该月 80%的天数,其中 O3 为首要污染物,占 100%。针对6月11日至18日的O3重污染过程,采用空气质量模式WRF-CMAQ进行模拟,平均误差数据MFB和MFE分别为-10.47%和17.96%,均在理想误差范围内。利用 CMAQ 过程分析模块对石家庄市的物理化学过程进行模拟,干沉降(DDEP)贡献浓度为-23.88 μg/m3。贡献浓度为-23.88 μg-m-3,是 O3 的主要消耗过程,而传输过程(TRAN)是 O3 的主要来源,其中垂直传输过程(VTRA)对 O3 的贡献更大。同时,源分析模块(ISAM)分析了石家庄市本地及周边地区的 O3 贡献率。结果表明,石家庄市本地工业源的 O3 贡献率如下: 交通源(12.54)工业源(6.94)居民源(6.56)电力源(4.75%)。远距离传输源(BCON)继续以 63.31%的高贡献率位居第一。在天气稳定的重污染时段,嵌套域 D02 层的 BCON 对石家庄市的贡献浓度低于标记区域的总和。周边城市中,保定市在稳定天气下的贡献率最高,占 26.21%。后期,在高值西南风的作用下,邢台市的贡献浓度迅速增加。要有效减少 O3 污染,必须减少本市排放,提前控制上风城市,实施区域间联防联控是关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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