保定市2013~2019年秋冬季污染物浓度变化特征

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Abstract In order to deeply understand the air quality of Baoding, Morlet wavelet analysis and Mann-Kendall non-parametric test were utilized for revealling the variation trends, multi-scale changes and mutation characteristics of six conventional air pollutions (PM₁₀, PM_2.5, SO₂, NO₂, CO and O₃-8h) annual average concentration and pollution characteristics. Except for O₃-8h, the annual average concentrations of pollutants decreased year by year, and the proportion of severe pollution days in the whole year decreased from 31% to 6.6%, showing an overall improvement trend in Baoding. However, the severe pollution days in autumn and winter of 2013~2019 accounted for 81%~97%, and the air pollution in autumn and winter still needs to be paid great attention. The wavelet analysis revealed the obviously periodic variations of pollutant concentrations during autumn and winter time in Baoding City. The periodic oscillations appeared at 20d (quasi-biweekly), 50~90d (intra-seasonal oscillations), and 90~110d (seasonal oscillations). In this time scale, the low-frequency oscillations for the pollutant concentrations were closely related to the low-frequency oscillations of atmospheric condition. The most severe pollution often occurred in December, January and February, which were mainly related to the source emission intensity and relatively stable atmospheric conditions. The mutation points of each pollutant pollution sequence were concentrated in October and March. In the autumn and winter of 2019~2020, NO₂ showed the obvious decreasing trend, and the mutation point was one month earlier than previous years, which was directly related to the significant reduction in vehicle emissions during the epidemic, while the times of mutation point for SO₂ and CO in the autumn and winter of 2013~2014 and 2015~2016 were similar, this may be related to the incomplete combustion of scattered coal for residential heating in winter. Since the implementation of control measures in Baoding in 2015, such as coal-to-gas, coal-to-electricity, and special treatment of low-quality scattered coal, the difference in the time of the mutation point between the two air pollutions indicated that clean heating measures had obvious effects on reducing the concentration of SO₂ and improving air quality.

Key words： wavelet analysis Mann-Kendall time scale variation characteristics Baoding city

Received: 20 December 2020

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X51

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	Articles by authors
	LI Huan-huan
	NIU Can
	ZHANG Kai
	LI Jie
	ZHI Min-kang
	LUO Yu-qian
	WANG Tao
	LU Shan-shan

Cite this article:

LI Huan-huan,NIU Can,ZHANG Kai等. Variation characteristics of pollutant concentration in autumn and winter from 2013 to 2019 in Baoding City[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(7): 3076-3087.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I7/3076

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