气候变化研究进展 ›› 2023, Vol. 19 ›› Issue (3): 278-292.doi: 10.12006/j.issn.1673-1719.2022.191

• 气候系统变化 • 上一篇    下一篇

云南大气边界层高度演变及其与PM2.5变化相关性分析

赵平伟1(), 段绍玲1, 史建武2(), 罗成鲜3, 张婧4, 钟珉菡5, 李四兰1, 陈静1   

  1. 1 云南省临沧市气象局,临沧 677099
    2 昆明理工大学环境与工程学院,昆明 650500
    3 云南省生态环境厅驻临沧市生态环境监测站,临沧 677099
    4 中山大学大气科学学院,珠海 519082
    5 四川省植物工程研究院,内江 641201
  • 收稿日期:2022-08-16 修回日期:2022-10-05 出版日期:2023-05-30 发布日期:2023-04-28
  • 通讯作者: 史建武,男,教授,shijianwu2000@sina.com
  • 作者简介:赵平伟,男,高级工程师,7203956@qq.com
  • 基金资助:
    国家可持续发展创新议程示范区专项(202104AC100001-A14);国家自然科学基金项目(21966016);国家重点研发计划(2019YFC0214405)

Analysis on the evolution of atmospheric boundary layer in Yunnan province and its effect on the change of PM2.5 concentration

ZHAO Ping-Wei1(), DUAN Shao-Ling1, SHI Jian-Wu2(), LUO Cheng-Xian3, ZHANG Jing4, ZHONG Min-Han5, LI Si-Lan1, CHEN Jing1   

  1. 1 Lincang Meteorological Bureau of Yunnan Province, Lincang 677099, China
    2 Faculty of Environment Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
    3 Ecological Environment Monitoring Station of Yunnan Provincial, Department of Ecology and Environment in Lincang, Lincang 677099, China
    4 Sun Yat-Sen University School of Atmospheric Sciences, Zhuhai 519082, China
    5 Sichuan Academy of Botanical Engineering, Neijiang 641201, China
  • Received:2022-08-16 Revised:2022-10-05 Online:2023-05-30 Published:2023-04-28

摘要:

基于ERA5 PBLH数据集、PM2.5观测数据和气温、相对湿度等多种气象观测资料,采用统计方法对1980—2020年云南省大气边界层高度(PBLH)变化特征、变化趋势,PM2.5浓度变化与PBLH的相关性进行系统分析。结果表明,受太阳直接辐射在一天中的变化影响,云南PBLH夜间变化平稳,白天波动较强;地气温差年代际变化与PBLH具有较好的一致性,2000年代至2010年代云南PBLH呈稳步升高趋势。降雨年内分布、地理位置的特殊性和天气系统等影响差异使得云南高海拔区域年内PBLH变化差异较小,干季PBLH较中、低海拔区仍明显偏低。云南四季PBLH大值中心多出现在昆明至楚雄,变化百分率多表现为增大趋势,春季整体增大趋势最明显,冬季变化百分率空间分布差异性最强。近地面层低温、高湿、弱风造成傍晚至夜间(18:00—01:00)PBLH快速下降,致PM2.5堆积到近地面层,PBLH对PM2.5浓度影响随之增强。各州/市PBLH与PM2.5的相关性和相关程度随季节和时次不同存在一定差异,02:00和08:00 PBLH与PM2.5基本表现为负相关,相关程度整体高于14:00和20:00;人类活动较多的昆明和曲靖夏、秋、冬季表现出更高负相关。

关键词: 大气边界层高度(PBLH), PM2.5, 变化特征, 相关性, 云南省

Abstract:

The Planetary Boundary Layer (PBL) is the site of a spatial area of human activity, and the associated environmental problems occurring within the Atmospheric Boundary Layer are closely related to human health and survival. PM2.5 has an important impact on the regional environment and human health. There is a close relationship between the height of the atmospheric boundary layer (Planetary boundary layer height, PBLH) and PM2.5. The analysis of the height of the atmospheric boundary layer and its relationship with PM2.5 has a more comprehensive understanding of PBLH changes in Yunnan province, and has important significance for local air pollution prevention and control. Based on ERA5 PBLH dataset, PM2.5 observation data, temperature, relative humidity and other meteorological observation data, statistic methods were used to systematically analyze the change characteristics and trend of PBLH in Yunnan province from 1980 to 2020, and the correlation between PM2.5 concentration change and PBLH. The results show that affected by the change of direct solar radiation in a day, the PBLH in Yunnan changes steadily at night and fluctuates strongly during the day. The interdecadal variation of the temperature difference between the ground and the atmosphere is in good agreement with the PBLH. From the 2000s to the 2010s, the PBLH in Yunnan showed a steady upward trend. The annual distribution of rainfall, the particularity of geographical location and the difference of weather system make smaller annual PBLH difference in high altitude areas of Yunnan, and the PBLH in dry season is still significantly lower than that in medium and low altitude areas. The PBLH maximum value centers in Yunnan in the four seasons are mostly located from Kunming to Chuxiong, and the percentage change shows an increasing trend. The overall increasing trend is the most obvious in spring, and the spatial distribution difference of the percentage change is the strongest in winter. The low temperature, high humidity and weak wind in the near surface layer cause the rapid decrease of PBLH from 18:00 to 01:00 in the four seasons, causing PM2.5 to accumulate in the near surface layer, and the influence of PBLH on the PM2.5 concentration increases accordingly. The correlation between PBLH and PM2.5 vary with seasons and times. At 02:00 and 08:00, the correlation between PBLH and PM2.5 is basically negative, and the degree of correlation is higher than that at 14:00 and 20:00; Kunming and Qujing, which have more human activities, has a higher negative correlation in summer, autumn and winter.

Key words: Planetary boundary layer height (PBLH), PM2.5, Change characteristics, Correlation, Yunnan province

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