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刘晓咏博士在SCI期刊PJOES发表论文

时间:2024-06-20 17:49:41 来源:英国威廉希尔公司 作者:闫军辉 阅读:

标题:Surface Ozone in the Huaihe River Economic Belt, China: Spatial-Temporal Variations and Meteorological Driving Force

作者:Xiaoyong Liu, Yidan Zhang, Feng Xu, Feiyan Chen, Hao Lin, Jiqiang Niu

来源出版物:Polish Journal of Environmental Studies, 2024

DOIhttps://doi.org/10.15244/pjoes/176798

出版年: 2024

文献类型:Article

语种:英文

摘要: Due to intense population density and rapid economic development, ozone (O3) pollution is serious in the Huaihe River Economic Belt (HREB) of China. Based on pollutant and meteorological observation data from 2015 to 2020, many interdisciplinary methods, e.g., Kernel Density Estimation (KDE), Standard Deviation Ellipse (SDE), and Multiple Linear Regression (MLR), were employed to investigate the spatio-temporal distribution and the meteorological driving force of O3 in 27 cities in the HREB. The results revealed that the annual mass concentration of O3 increased in 2015~2018 and then decreased in 2019. The seasonal O3 concentration displayed a bimodal structure, with highs in spring (122.3 μg/m3) and summer (134.7 μg/m3), and low in autumn (99.1 μg/m3) and winter (64.4 μg/m3). Spatially, the O3 concentration in the northeastern HREB was higher than in the southwestern HREB. SDE analysis indicated that southeast Shangqiu (33.80°N-33.89°N, 116.33°E-116.40°E) was the center of gravity for O3 concentrations in the HREB. The cities with severe O3 pollution were clustered in the northern HREB, forming the high-high (HH) type, and those in the southern HREB with low O3 concentrations forming the low-low (LL) type. Meteorological factors, including temperature, pressure, and sunshine duration, had a relatively significant impact on O3 concentration. Based on the results of t h e MLR analysis, meteorological factors can explain 18.2%~82.2% (60.5% on average) of the O3 variation in the HREB. The O3 in the northern HREB was more affected by meteorological conditions than in the southern HREB.

关键词:ozone; Huaihe River Economic Belt; spatial-temporal variations;  meteorological factors

影响因子:1.8

论文链接:https://doi.org/10.15244/pjoes/176798

 

编辑:闫军辉