[Analysis of Spatial-temporal Variation and Meteorological Driving Factors of Ozone in the Taiyuan Basin from 2020 to 2023].

Q2 Environmental Science
Wei Guo, Shi-Ming Yan, Yuan Gao, Lin-Yun Zhu, Jiang Yue, Xiao-Lan Wang
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引用次数: 0

Abstract

To study the spatio-temporal variations and influencing factors of ozone (O3) in the Taiyuan Basin, the main spatial distribution modes, temporal variations, and meteorological drivers of O3 concentration were analyzed based on the day-by-day maximum O3-8h concentration data of 11 counties in the Taiyuan Basin from 2020 to 2023 and the meteorological data for the same period using the rotated empirical orthogonal function (REOF) decomposition. The effects of valley wind circulation and regional transport on O3 concentration in the Taiyuan Basin were further analyzed. The results indicated that the daily maximum O3-8h 90th percentile concentration in the Taiyuan Basin exhibited fluctuating characteristics, with higher concentrations in 2021 and 2023. The variance interpretation rate of the top three modes of REOF for the concentration of O3 in the Taiyuan Basin was 75.9%. The spatial distribution characteristics of the first mode of O3 were "high in the north and low in the south," those of the second mode were "high in the south and low in the north," and those of the third mode were "low in the north and south and high in the middle." The high values of the time coefficients of the first two modes were mostly distributed from the middle of June to end of July. The interannual difference in the time when the high values of the time coefficients of the third mode appeared was large. According to the spatial distribution mode of O3, the Taiyuan Basin could be divided into three parts: the northern (Taiyuan and Yuci), southern (Fenyang, Xiaoyi, and Jiexiu), and central regions. Temperature and wind speed had less influence on the spatial distribution of O3 in the Taiyuan Basin, and localized transport differences caused by different wind directions were the main meteorological drivers for the formation of different spatial distribution modes of O3. The proportion of valley wind in the Taiyuan Basin was 34.5%. During the period of valley wind control, O3 in the basin showed a slightly lower distribution pattern in the north, south, high, and middle parts, and the average concentration was approximately 20 μg·m-3 higher than that during non-valley wind periods. The impact of different transport trajectories on O3 in the Taiyuan Basin varied, and pollutant transport from the southeast, south, and west could lead to an increase in O3 pollution levels in the Taiyuan Basin.

[2020 - 2023年太原盆地臭氧时空变化及气象驱动因素分析]。
为研究太原盆地臭氧(O3)的时空变化及其影响因素,利用太原盆地11个县区2020 - 2023年逐日最大臭氧-8h浓度数据和同期气象资料,采用旋转经验正交函数(REOF)分解方法,分析了O3浓度的主要空间分布模式、时空变化特征和气象驱动因素。进一步分析了河谷风环流和区域输送对太原盆地O3浓度的影响。结果表明:太原盆地日最大臭氧3 ~ 8h第90百分位浓度呈波动特征,在2021年和2023年浓度较高;REOF前3种模式对太原盆地O3浓度的方差解释率为75.9%。O3的第一模态空间分布特征为“北高南低”,第二模态空间分布特征为“南高北低”,第三模态空间分布特征为“南北低中部高”。前两种模态时间系数的高值主要分布在6月中旬至7月底。第三模态时间系数出现高值的时间年际差异较大。根据O3的空间分布模式,将太原盆地划分为北部(太原、榆次)、南部(汾阳、孝义、介休)和中部3个区域。温度和风速对太原盆地O3空间分布的影响较小,不同风向引起的局地输送差异是形成不同O3空间分布模式的主要气象驱动力。太原盆地河谷风占34.5%。在谷风控制期,流域O3呈北、南、高、中偏低的分布格局,平均浓度比非谷风控制期高约20 μg·m-3。不同输送轨迹对太原盆地O3的影响存在差异,东南、南、西方向的污染物输送会导致太原盆地O3污染水平的增加。
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
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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