中国东北地区极低能见度事件的原因

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-04-12 DOI:10.1002/met.2199
Dianbin Cao, Xuelong Chen, Qiang Zhang, Yanluan Lin, Qinghong Zhang, Yaoming Ma
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引用次数: 0

摘要

2013 年 10 月 20-22 日,中国东北哈尔滨发生了极端霾雾事件,持续时间近 60 小时,局地能见度低至 20 米。然而,极端霾雾形成的原因仍不清楚。通过对现场数据和客观天气环流分类的分析,发现生物质燃烧产生的高污染物排放在此次极端事件中扮演了非常重要的角色。以弱高压控制、强反转(6.55°C)、浅边界层深度(<300 米)和高相对湿度(>90%)为特征的环流类型 8(CT8)下的稳定天气条件有助于污染物的积累和吸湿气溶胶的增长。所有这些因素共同促成了极端霾雾的形成。本研究得出的见解可提高极端霾雾事件的可预测性,并表明在中国东北地区的不利气象环流类型中应严格控制污染排放。
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Causes of an extremely low visibility event in Northeast China

An extreme haze-fog event occurred during October 20–22, 2013, in Harbin, Northeast China, which lasted for nearly 60 h with local visibility as low as 20 m. However, causes of the extreme haze-fog formation remain unclear. Through the analysis of in situ data and objective weather circulation classification, it is revealed that high pollutant emissions from biomass burning played a very important role in the extreme event. Stable weather conditions under the circulation type 8 (CT8), marked by weak high-pressure control, strong inversion (6.55°C), shallow boundary layer depth (<300 m), and high relative humidity (>90%), aided in the accumulation of pollutants and hygroscopic aerosol growth. All of these factors collectively contributed to the extreme haze-fog formation. The insights derived from this study can improve the predictability of extreme haze-fog events, and indicate that pollution emissions should be tightly controlled in the adverse meteorological circulation type in Northeast China.

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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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