成都市一次灰霾过程的演变特征及其成因分析

doi:10.3969/j.issn.1673-503X.2020.02.004

Abstract

Abstract:

Based on data from the environmental monitoring system, meteorological stations and Lidar stations in Chengdu from January 14 to 28, 2017, the evolution mechanism of a hazing process was analyzed.The results show that the hazing process is closely related to the weather situation.The change in meteorological factors plays an important role in particle diffusion.The correlation coefficients of PM_2.5 mass concentration with wind speed, temperature, and relative humidity are -0.36, 0.45 and 0.20, respectively.During the hazing process, the average height of the mixing layer is about 378 m, and it is high in the daytime and low at the night.Trough the correlation analysis between the mixing layer height and the particle mass concentration at the ground in about two hour interval, it shows that the mixing layer height can play a significant role in the diffusion of ground particles.The correlation coefficient increases from -0.47 to -0.63 during the two hour period.This can to some extent indicate the evolution trend of particle mass concentration in the next few hours.In summary, the results obtained in this study can provide a theoretical basis and research reference for the early warning, prediction of local haze process, and pollution prevention and control.

Key words: Haze, PM_2.5, Extinction coefficient, Mixing layer height

CLC Number:

X513

Xin-yi LI, Feng-kai YANG, Yu-lei ZHU, Chang-jian NI. Evolution characteristics and formation mechanism of a hazing process in Chengdu[J]. Journal of Meteorology and Environment, 2020, 36(2): 28-33.

Figures/Tables 9

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References 18

1	张莹, 贾旭伟, 杨旭, 等. 中国典型代表城市空气污染特征及其与气象参数的关系[J]. 气象与环境学报, 2017, 33 (2): 70- 79.
2	董贞花, 齐伊玲, 孔海江, 等. 河南省三次重污染过程的对比分析[J]. 气象与环境学报, 2019, 35 (1): 18- 25.
3	李贵玲, 周敏, 陈长虹, 等. 2011年春季沙尘天气影响下上海大气颗粒物及其化学组分的变化特征[J]. 环境科学, 2014, 35 (5): 1644- 1653.
4	程月星, 戴健, 王玮琦, 等. 北京市朝阳区重空气污染天气类型分析[J]. 气象与环境学报, 2017, 33 (5): 44- 52.
5	李国翠, 范引琪, 岳艳霞, 等. 北京市持续重污染天气分析[J]. 气象科技, 2009, 37 (6): 656- 659.
6	龚识懿, 冯加良. 上海地区大气相对湿度与PM₁₀浓度和大气能见度的相关性分析[J]. 环境科学研究, 2012, 25 (6): 628- 632.
7	张鑫, 蔡旭晖, 柴发合. 北京市秋季大气边界层结构与特征分析[J]. 北京大学学报:自然科学版, 2006, 42 (2): 220- 225.
8	李成才, 刘启汉, 毛节泰, 等. 利用MODIS卫星和激光雷达遥感资料研究香港地区的一次大气气溶胶污染[J]. 应用气象学报, 2004, 15 (6): 641- 650.
9	朱红蕊, 刘赫男, 张洪玲, 等. 哈尔滨市空气质量特征及其与气象要素的关系[J]. 气象与环境学报, 2019, 35 (1): 53- 58.
10	魏玉香, 童尧青, 银燕, 等. 南京SO₂、NO₂和PM₁₀变化特征及其与气象条件的关系[J]. 大气科学学报, 2009, 32 (3): 451- 457.
11	邓利群, 钱骏, 廖瑞雪, 等. 2009年8—9月成都市颗粒物污染及其与气象条件的关系[J]. 中国环境科学, 2012, 32 (8): 1433- 1438.
12	孙欢欢, 倪长健, 崔蕾. 成都市黑碳气溶胶污染特征及与气象因子的关系[J]. 环境工程, 2016, 34 (6): 119- 124, 129.
13	谢娜,姚鹏,徐栋夫,等.成都地区近30年霾特征分析[C]//中国气象学会.第33届中国气象学会年会S22青年论坛.西安:中国气象学会, 2016: 11.
14	谢雨竹, 潘月鹏, 倪长健, 等. 成都市区夏季大气污染物浓度时空变化特征分析[J]. 环境科学学报, 2015, 35 (4): 975- 983.
15	周燕秋, 倪长健, 刘培川, 等. 基于激光雷达分析一次重霾过程混合层高度[J]. 中国环境监测, 2016, 32 (4): 22- 28.
16	李展, 陈建文, 杜云松, 等. 成都及周边城市一次区域性空气污染过程特征分析[J]. 环境科学与技术, 2015, 38 (3): 125- 130.
17	朱育雷, 倪长健, 谭钦文, 等. 基于logistic曲线识别混合层高度的新方法[J]. 中国环境科学, 2017, 37 (5): 1670- 1676.
18	朱育雷, 倪长健, 崔蕾. 成都市污染边界层高度的演变特征分析[J]. 环境工程, 2017, 35 (1): 98- 102.

日期(08时)	22日	23日	24日	25日	26日	27日	28日	29日
逆温层顶高/m	100	100	200	50	150	100	100	50
逆温层强度/(℃·(100 m)^-1)	3.3	6.2	1.8	8.5	1.8	4.8	0.7	2.2

要素	PM_2.5	PM_2.5-1	PM_2.5-2	PM_2.5-3	PM_2.5-4	PM_2.5+1	PM_2.5+2	PM_2.5+3	PM_2.5+4
相关系数	-0.47^**	-0.31^**	-0.16	-0.01	0.12	-0.54^**	-0.63^**	-0.57^**	-0.52^**

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[6]	TANG Ying-xiao, HAN Su-qin, CAI Zi-ying, YANG Xu, FENG Jin. Feature analysis of atmospheric self-purification capability and atmospheric particulate concentration in Tianjin during 2013-2017 [J]. Journal of Meteorology and Environment, 2019, 35(6): 55-66.
[7]	DU Qin-bo, WU Xiao-yan, ZHENG Su-fan, LI Yue-ying, CHEN Huan-huan, ZHANG Yu-feng. Effects of meteorological conditions on PM_2.5 pollution in Shantou and the PM_2.5 prediction [J]. Journal of Meteorology and Environment, 2019, 35(5): 70-77.
[8]	HU Cai-jiao, LI Jin-lun, WANG Zu-wu, CHENG Hai-rong, KE Hao-hao, WU Wan-ye. Characteristics of atmospheric PM₁₀ and PM_2.5 mass concentrations in Huangshi city [J]. Journal of Meteorology and Environment, 2019, 35(4): 40-46.
[9]	YANG Lei, CHEN Chuan-lei, CAO Shi-teng, SUN Li, CUI Yao-peng, JIANG Chao, HUANG Hai-liang, CHEN Yu, YANG Xue. Comprehensive analysis of a heavy PM_2.5 pollution event over Shenyang in November of 2015 [J]. Journal of Meteorology and Environment, 2019, 35(3): 37-44.
[10]	ZHOU Li, LAN Ming-cai, ZHANG Jian-qi, ZHOU Hui, TANG Jie, XU Lin, WEN Ping. Characteristics and causes of a heavy haze event in Changsha during winter of 2017 [J]. Journal of Meteorology and Environment, 2019, 35(3): 45-51.
[11]	YANG Dong, ZHU Jia-min, YAO Ri-sheng, TU Xiao-ping. Comparison of air quality and atmospheric self-purification capacity between coastal and inland areas of Ningbo [J]. Journal of Meteorology and Environment, 2019, 35(3): 52-59.
[12]	JIANG Jiang, GUO Wen-li, WANG Chun-ling. Temporal and spatial characteristics of visibility in Beijing from 2007 to 2015 [J]. Journal of Meteorology and Environment, 2019, 35(1): 45-52.
[13]	ZHU Hong-rui, LIU He-nan, ZHANG Hong-ling, YIN Chang-jiao. Characteristics of air quality and its relationship with meteorological factors in Harbin [J]. Journal of Meteorology and Environment, 2019, 35(1): 53-58.
[14]	XIANG Cheng-cheng, CHAI Man. Characteristics of spatiotemporal variation clustering of PM_2.5 and its meteorological influence in cities of Liaoning province [J]. Journal of Meteorology and Environment, 2019, 35(1): 35-44.
[15]	LI Li-guang, DING Kang-kang, WANG Hong-bo, ZHAO Zi-qi, ZHAO Xian-li, CHEN Gang, DONG Guo-ping. Characteristics of haze day in the urban and suburban areas of Liaoning province [J]. Journal of Meteorology and Environment, 2018, 34(6): 125-132.

Evolution characteristics and formation mechanism of a hazing process in Chengdu

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