Characteristics of Atmospheric Particulate Matter Pollution and the Unique Wind and Underlying Surface Impact in the Twain-Hu Basin in Winter

被引：5

作者：

Zhu Y. ^{[1
]}

Zhao T.-L. ^{[1
]}

Bai Y.-Q. ^{[2
]}

Xu J.-P. ^{[3
]}

Sun X.-Y. ^{[1
]}

Hu W.-Y. ^{[1
]}

Chang J.-C. ^{[1
]}

Yang J. ^{[1
]}

Zhu C.-Z. ^{[1
]}

机构：

[1] Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing

[2] Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan

[3] Jiangsu Climate Center, Nanjing

来源：

Huanjing Kexue/Environmental Science | 2021年 / 42卷 / 10期

关键词：

Atmospheric particulate matter; Meteorological elements; Terrain; Twain-Hu Basin; Underlying surface;

D O I：

10.13227/j.hjkx.202103050

中图分类号：

学科分类号：

摘要：

To understand the recent characteristics of atmospheric environmental changes in the Twain-Hu(Hunan-Hubei)Basin, including the middle reaches of the Yangtze River, this paper uses near-surface PM2.5 and PM10 observational data for the Twain-Hu Basin in the winters of 2015 to 2019, combined with wind-speed, topography, the normalized difference vegetation index(NDVI), and other datasets. The results show that: ① PM2.5 pollution occurred frequently in the winters of 2015-2019 in the Twain-Hu Basin, and Xiangyang and Jingmen in the western part of the basin, experience PM2.5 pollution on an average of 62 and 61 days in winter(PM2.5> 75 μg•m-3). And the heavy pollution days in Xiangyang reached 19 more days(PM2.5> 150 μg•m-3), indicating that the Twain-Hu Basin is an air pollution center in the middle reaches of the Yangtze River Basin; ② Spatially, pollution in the Twain-Hu Basin is heavier in the northwest than in the southeast, and in the urban agglomeration, which is mainly related to the regional transport of air pollutants by the winter monsoon and the high levels of emissions from urban areas; ③ A "U-shaped" nonlinear relationship was observed between near-surface wind speeds and PM2.5 and PM10 concentrations. The inflection points of PM2.5 and PM10 concentrations were 153 and 210 μg•m-3, respectively. This implies that the accumulation of local atmospheric particulate matter in the Twain-Hu Basin dominates light/medium pollution, while the regional transport of air pollutants dominates period of severe pollution; and ④ PM2.5 and PM10 in winter were significantly negatively correlated with terrain height and the NDVI, which reflects the atmospheric environmental effects of topography and urbanization. © 2021, Science Press. All right reserved.

引用

页码：4669 / 4677

页数：8

共 49 条

[1] (2013)
[2] Zhang X Y, Wang Y Q, Niu T, Et al., Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols, Atmospheric Chemistry and Physics, 12, 2, pp. 779-799, (2012)
[3] Zhang X Y, Sun J Y, Wang Y Q, Et al., Factors contributing to haze and fog in China, Chinese Science Bulletin, 58, 13, pp. 1178-1187, (2013)
[4] Xu X, Zhao T, Liu F, Et al., Climate modulation of the Tibetan Plateau on haze in China, Atmospheric Chemistry and Physics, 16, 3, pp. 1365-1375, (2016)
[5] Lin C Q, Liu G, Lau A K H, Et al., High-resolution satellite remote sensing of provincial PM2.5 trends in China from 2001 to 2015, Atmospheric Environment, 180, pp. 110-116, (2018)
[6] Tan C H, Zhao T L, Cui C G, Et al., Characterization of haze pollution over Central China during the past 50 years, China Environmental Science, 35, 8, pp. 2272-2280, (2015)
[7] Bai Y Q, Qi H X, Liu L, Et al., Study on the nonlinear relationship among the visibility, PM2.5 concentration and relative humidity in Wuhan and the visibility prediction, Acta Meteorologica Sinica, 74, 2, pp. 189-199, (2016)
[8] Bai Y Q, Qi H X, Zhao T L, Et al., Analysis of meteorological conditions and diurnal variation characteristics of PM2.5 heavy pollution episodes in the winter of 2015 in Hubei province, Acta Meteorologica Sinica, 76, 5, pp. 803-815, (2018)
[9] Shen L J, Wang H L, Zhao T L, Et al., Characterizing regional aerosol pollution in central China based on 19 years of MODIS data: spatiotemporal variation and aerosol type discrimination, Environmental Pollution, 263, (2020)
[10] Yu C, Zhao T L, Bai Y Q, Et al., Heavy air pollution with a unique "non-stagnant" atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM2.5 over China, Atmospheric Chemistry and Physics, 20, 12, pp. 7217-7230, (2020)

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