Classification and estimation of unfavourable boundary-layer meteorological conditions in Beijing for PM2.5 concentration changes using vertical meteorological profiles

无线电探空仪 环境科学 北京 大气科学 边界层 气溶胶 气候学 分层(种子) 行星边界层 气象学 平流 污染 地质学 地理 生态学 种子休眠 湍流 物理 发芽 植物 考古 休眠 生物 中国 热力学
作者
Tian Zhang,Renhe Zhang,Junting Zhong,Xiaojing Shen,Yaqiang Wang,Lifeng Guo
出处
期刊:Atmospheric Research [Elsevier]
卷期号:293: 106902-106902 被引量:1
标识
DOI:10.1016/j.atmosres.2023.106902
摘要

PM2.5 pollutions is closely associated with vertical boundary-layer (BL) meteorological conditions. However, the vertical profiles of major meteorological elements are rarely classified and used to quantify unfavourable meteorological conditions and surface PM2.5 concentration changes. This study uses time-series clustering to classify radiosonde observations in the winter of 2012– 2021 in Beijing. Temperature stratification classification was found to quantify the extent of unfavourable meteorological conditions well. The worst meteorological conditions often corresponded to an extremely stable boundary layer that became relatively warmer in the upper part and cooled in the near-ground region. Temperature inversions move downwards, forcing vertically distributed PM2.5 to accumulate towards the surface. This upper BL warming in the Beijing area originated from southerly warm air flows, while the lower BL cooling partly resulted from the cooling effects of accumulated aerosols. From 2012 to 2016 to 2017– 2021, the most significant difference appeared in the proportions of severely unfavourable vertical conditions, which dropped by 47% from 3.2% in 2017 to 1.7% in 2021. This proportional decline in severely unfavourable vertical conditions was estimated to contribute to ~23% of the PM2.5 concentration decline (16.8 μg m−3) from 2017 to 2021. The interaction between aerosol pollution and the vertical meteorological structure was an essential contributing factor to near-surface pollution. We found that the degree of modification of unfavourable meteorological conditions and the corresponding increase in the surface PM2.5 concentrations could be estimated by the proportional change in the stable BL vertical structure. These changes could also be inferred from an autoregressive integrated moving average (ARIMA) model based on long-term balloon observations since 1991. The proportion of heavily unfavourable conditions was projected to increase from close to 0% in winter 2021 to 2.5% in winter 2022. Therefore, we suggest that the PM2.5 reduction target for the following winter should consider the effect of unfavourable meteorological conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
谦让的青亦完成签到,获得积分20
刚刚
2秒前
titamisulydia发布了新的文献求助10
2秒前
伶俐幻丝完成签到,获得积分10
4秒前
viperts发布了新的文献求助10
4秒前
Paul_Geromeng发布了新的文献求助10
4秒前
风趣秋白完成签到,获得积分10
5秒前
iuv发布了新的文献求助10
5秒前
小米粥24完成签到 ,获得积分10
7秒前
咖啡先生完成签到,获得积分10
7秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
Lucas应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
ranqi应助科研通管家采纳,获得10
8秒前
不配.应助科研通管家采纳,获得20
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
CodeCraft应助科研通管家采纳,获得10
8秒前
8秒前
烟花应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
桐桐应助科研通管家采纳,获得10
8秒前
彭于晏应助科研通管家采纳,获得10
9秒前
ranqi应助科研通管家采纳,获得10
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
我是鸡汤应助科研通管家采纳,获得10
9秒前
思源应助科研通管家采纳,获得10
9秒前
上官若男应助科研通管家采纳,获得10
9秒前
9秒前
huihuiyve完成签到,获得积分10
10秒前
充电宝应助titamisulydia采纳,获得10
11秒前
等待忆安完成签到,获得积分10
11秒前
suibian发布了新的文献求助10
14秒前
鹏gg完成签到 ,获得积分10
16秒前
16秒前
Akim应助白小白采纳,获得10
17秒前
17秒前
17秒前
科研通AI2S应助袁大头采纳,获得10
18秒前
高分求助中
Sustainability in Tides Chemistry 2800
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137260
求助须知:如何正确求助?哪些是违规求助? 2788392
关于积分的说明 7785921
捐赠科研通 2444458
什么是DOI,文献DOI怎么找? 1299916
科研通“疑难数据库(出版商)”最低求助积分说明 625650
版权声明 601023