苏皖鲁豫典型区域臭氧垂直结构及其影响因素分析

王伟月; 张红; 汪水兵; 洪星园; 王馨琦; 朱承驻

doi:10.13198/j.issn.1001-6929.2023.06.07

苏皖鲁豫典型区域臭氧垂直结构及其影响因素分析

doi: 10.13198/j.issn.1001-6929.2023.06.07

王伟月^{1, 2,},
张红^2, ,,
汪水兵²,
洪星园^{2, 3},
王馨琦²,
朱承驻¹

1.
合肥工业大学资源与环境工程学院，安徽合肥　230009
2.
安徽省生态环境科学研究院，安徽合肥　230061
3.
中国科学院大气物理研究所，大气边界层物理和大气化学国家重点实验室，北京　100029

基金项目: 安徽省自然科学基金面上项目(No.2108085MD138)；LAPC国家重点实验室开放课题资助(No.LAPC-KF-2023-08)；安徽省博士后研究基金资助项目(No.2021B548)

详细信息

作者简介:
王伟月（2000-），女，安徽蚌埠人，2021170840@mail.hfut.edu.cn

通讯作者:
张红(1977-)，女，河南驻马店人，正高级工程师，博士，主要从事大气环境研究，602463559@qq.com

中图分类号: X51
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出版历程
- 收稿日期: 2023-04-14
- 修回日期: 2023-05-26

Vertical Structure of Ozone and Its Influencing Factors in the Border Area of Jiangsu, Anhui, Shandong and Henan Provinces

1.
Institute of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
2.
Anhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China
3.
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Funds: Natural Science Foundation of Anhui Province, China (No.2108085MD138); State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, China (No.LAPC-KF-2023-08); Anhui Provincial Postdoctoral Research Foundation, China (No.2021B548)

摘要

摘要: 苏皖鲁豫交界地区已成为全国大气污染防治的重点关注区域之一. 为探究苏皖鲁豫区域臭氧垂直结构特征及气象因素与潜在来源的影响，利用激光雷达对淮北市2021年11月臭氧和气象垂直结构进行观测. 结果表明：①淮北市地面臭氧浓度呈单峰日变化特征，2021年11月16—18日出现了持续3 d的高空臭氧污染. 在清洁日(高空臭氧小时浓度<200 μg/m³)，1.5 km以下臭氧浓度随高度的增加呈先升后降的趋势；在污染日(高空臭氧小时浓度≥200 μg/m³)，2021年11月16日和17日臭氧为双层分布，18日臭氧浓度在1.5 km以下随高度的增加而下降. ②在垂直高度上，污染日的温度高于清洁日，风速低于清洁日，即高温低风有利于高空臭氧污染产生，16日逆温层对臭氧浓度的积累有重要作用，风向转变和下沉气流也是造成污染日高空臭氧聚集的重要原因. ③臭氧潜在来源及贡献分析显示，观测日(整个观测期，2021年11月10—19日)的高臭氧浓度可能与淮北市本地生成及其南部、东部的区域输送有关，清洁日的臭氧浓度主要受河南省的影响，污染日的高空臭氧污染不仅与本地生成有关还与周边城市的臭氧及臭氧前体物输送有关. 研究显示，温度、风速、风向以及区域输送对淮北市臭氧浓度的垂直结构演变有显著影响.
- 淮北市 /
- 臭氧垂直分布 /
- 逆温 /
- 风速
Abstract: The border area of Jiangsu, Anhui, Shandong and Henan has become one of the key areas for national air pollution prevention and control in China. The aim of this study is to investigate the vertical structure characteristics of ozone, the influence of meteorological factors and potential sources in Jiangsu, Anhui, Shandong and Henan regions. The vertical structures of ozone and meteorology in Huaibei City in November 2021 were observed by lidar. The results showed that: (1) The surface ozone concentration was characterized by single-peak daily variation, and there was a continuous three-day high-altitude ozone pollution from November 16^th to 18^th, 2021. On the clean days (defined as the hourly high-altitude ozone concentration < 200 μg/m³), the ozone concentration below 1.5 km increased first and then decreased with the increase of altitude. On polluted days (defined as the hourly high-altitude ozone concentration ≥ 200 μg/m³), the ozone distribution appeared as double layers on November 16^th and 17^th, 2021 and the ozone concentration decreased with the increasing altitude below 1.5 km on the November 18^th. (2) At vertical altitude, the temperature on the polluted days was higher than that on the clean days, and the wind speed was lower than that on the clean days, indicating that high temperature and low wind were conducive to the generation of high-altitude ozone pollution. The inversion layer on the November 16^th played an important role in the accumulation of ozone concentration, and the changes in wind direction and downdraft were also the important causes of ozone accumulation in the upper air on the polluted days. (3) The analysis of potential ozone sources and their contributions showed that the high ozone concentration on the observation days (defined as the entire observation period: November 10^th-19^th, 2021) may be related to the local generation of Huaibei City and regional transport in the south and east of Huaibei City. The ozone concentration on the clean days was mainly affected by Henan Province. The high-altitude ozone pollution on the polluted days was related to the local generation and the transport of ozone and its precursors in surrounding cities. Based on the above research results, temperature, wind speed, wind direction and regional transport had significant effects on the evolution of the vertical structure of ozone concentration in Huaibei City.
- Huaibei City /
- vertical distribution of ozone /
- temperature inversion /
- wind speed

HTML全文

图 1 2021年11月10—19日淮北市地面臭氧浓度变化以及臭氧浓度垂直分布情况

注：空白区域为因仪器故障而导致的数据无效部分.

Figure 1. Variation of ozone concentration with time on the surface and vertical distribution of ozone from November 10^th to 19^th, 2021 in Huaibei City

下载: 全尺寸图片幻灯片

图 2 淮北市不同时期的臭氧浓度廓线

注：每75 m高度的臭氧浓度平均值用黑色圆形表示并用线条连接.

Figure 2. Ozone concentration profiles at different periods in Huaibei City

下载: 全尺寸图片幻灯片

图 3 淮北市不同时期的温度垂直廓线

注：每75 m高度的温度平均值用黑色圆形表示并用线条连接.

Figure 3. The vertical profiles of temperature at different periods in Huaibei City

下载: 全尺寸图片幻灯片

图 4 淮北市不同时期的水平风速垂直廓线以及不同高度上水平风速变化对臭氧浓度的影响

注：图(a)~(c)中每30 m高度的水平风速平均值用黑色圆形表示.

Figure 4. The vertical profiles of horizontal wind speed at different periods and effect of horizontal wind speed variation on ozone concentration at different heights in Huaibei City

下载: 全尺寸图片幻灯片

图 5 2021年11月10—19日淮北市水平风速、风向和垂直风速的垂直分布特征

注：垂直风速正值表示上升气流，负值表示下沉气流.

Figure 5. The vertical distribution characteristics of horizontal wind speed, wind direction and vertical wind speed from November 10^th to 19^th, 2021 in Huaibei City

下载: 全尺寸图片幻灯片

图 6 淮北市不同时期的后向轨迹聚类、WPSCF分析及WCWT分析

Figure 6. The backward trajectory clustering, WPSCF analysis and WCWT analysis at different periods in Huaibei City

下载: 全尺寸图片幻灯片

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