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The characteristics of hourly wind field and its impacts on air quality in the Pearl River Delta region during 2013-2017

机译：2013-2017年珠江三角洲小时风场特征及其对空气质量的影响

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摘要

The behavior of wind with respect to local features, especially over complex heterogeneous underlying surfaces, is of particular interest. Studies on objective wind field classification on the local scale are limited. To better understand wind behavior and its impact on air quality in the Pearl River Delta (PRD) region, an objective clustering technique is applied to five-year (2013-2017) 23-station observational hourly wind data, and the effect of modulation of the clustered local wind fields on regional air quality is explored using simultaneous 55-site pollutant (PM2.5, PM10, NO2, and O-3) concentrations. The clustering results capture the features of five local wind field types (Type_N, Type-NE, Type_S, Type-SE, and Type-Calm) driven by synoptic/local circulation in the PRD region and their spatiotemporal evolution. Excellent synoptic interpretations of each wind field type are given. The results confirm the applicability of the clustering technique in objective classification of wind fields in the PRD region. The PM2.5, PM10, and NO2 concentrations show characteristics of wind-dependent spatial distributions in which pollutant transport within the PRD city cluster is significant. The quantified concentration difference (Delta C) between cities with higher and lower pollutant concentrations within the PRD region is also presented. The spatial distribution of the O-3 concentration is quite different from those of PM2.5, PM10, and NO2, because central cities in the PRD region have obviously lower O-3 concentrations than the surrounding cities except under Type_S wind fields. The emission source intensity is reflected in the spatial distribution of air pollutant concentrations under Type-Calm wind fields. This work enables further analysis of the formation process and mechanism of air pollution, and also provides important background information for air pollution prediction.
机译：风相对于局部特征的行为，特别是在复杂的异质下伏表面上的行为，特别令人关注。局部尺度上客观风场分类的研究是有限的。为了更好地了解珠江三角洲（PRD）地区的风行为及其对空气质量的影响，将客观聚类技术应用于五年（2013-2017）的23站观测的每小时小时风数据以及调制的影响利用同时存在的55个地点的污染物（PM2.5，PM10，NO2和O-3）浓度，探索了局部风场对区域空气质量的影响。聚类结果捕获了珠三角地区天气/局部环流及其时空演变驱动的五种局部风场类型（Type_N，Type-NE，Type_S，Type-SE和Type-Calm）的特征。给出了每种风场类型的出色天气摘要。结果证实了聚类技术在珠三角地区风场客观分类中的适用性。 PM2.5，PM10和NO2的浓度显示出随风而变的空间分布特征，其中珠三角城市群内的污染物迁移非常重要。还介绍了珠三角区域内污染物浓度较高和较低的城市之间的定量浓度差（ΔC）。 O-3浓度的空间分布与PM2.5，PM10和NO2的空间分布完全不同，因为除Type_S风场外，珠三角地区的中心城市O-3浓度明显低于周围城市。排放源的强度反映在Type-Calm风场下空气污染物浓度的空间分布中。这项工作可以进一步分析空气污染的形成过程和机理，并为预测空气污染提供重要的背景信息。

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  • 来源
    《Atmospheric research》 |2019年第10期|112-124|共13页
  • 作者

    Xie Jielan; Liao Zhiheng; Fang Xingqin; Xu Xinqi; Wang Yu; Zhang Yu; Liu Jian; Fan Shaojia; Wang Baomin;

  • 作者单位

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Guangdong Environm Monitoring Ctr, State Environm Key Lab Reg Air Qual Monitoring, Guangzhou, Guangdong, Peoples R China;

    Guangdong Climate Ctr, Guangdong Meteorol Serv, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Guangdong, Peoples R China|Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangdong Hong Kong & Macao Joint Lab Trop Ocean, Guangzhou, Guangdong, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Objective surface wind classification; Cluster analysis; Synoptic interpretation; Spatial distribution of air pollutant concentration; Air quality; Pearl River Delta region;

    机译：客观地表风分类聚类分析气象解释大气污染物浓度空间分布空气质量珠江三角洲;

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