Visual analysis of haze evolution and correlation in Beijing
Visual analysis of haze evolution and correlation in Beijing
复制标题
北京雾霾演化及相关性可视化分析
DOI：
10.1007/s12650-018-0516-0
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发表时间：
2019
影响因子：
1.7
通讯作者：
Chen Yi
中科院分区：
文献类型：
--
作者：
Zhang Wenting;Wang Yinqiao;Zeng Qiong;Wang Yunhai;Chen Guoning;Niu Tao;Tu Changhe;Chen Yi
摘要 雾霾是一种危害人类健康并导致严重经济问题的大气现象。许多天气因素与霾的出现和演变有关。在本文中，我们提出了一个用于雾霾研究的可视化分析系统，包括其演变以及与许多天气因素的相关性。具体来说，我们介绍了一种基于气象学中常见的雾霾识别规则，利用PM2.5浓度数据进行雾霾事件检测的算法。我们开发了一种比较可视化方法，以一致地概述标量变量和风向的趋势，其中通过在用户给定的采样时间聚类流线来提取风模式。为了研究风与 PM2.5 之间的相关性，我们根据流线的时间相似性将时间步分解为时间间隔。此外，我们开发了一种一维函数相异测量来研究 PM2.5 浓度与相关天气因素（例如风力、相对湿度和行星边界层）之间的时间相关性。此外，我们利用风场内的路径线计算来利用粒子平流来定位在用户感兴趣的区域中播种的粒子的起源和目的地。我们应用我们的系统来研究 2013 年 1 月在（中国）北京发生的多起雾霾。领域专家的解释和评估证明了我们的系统在促进雾霾研究方面的有效性。图形摘要
AbstractHaze is a hazardous atmospheric phenomenon that threatens human health and leads to severe economic problems. A number of weather factors are relevant to the emergence and evolvement of haze. In this paper, we present a visual analytics system for haze study, including its evolution and correlations to a number of weather factors. Specifically, we introduce a haze event detection algorithm based on common haze identification rules in meteorology using the PM2.5concentration data. We develop a comparative visualization to consistently overview trends of scalar variables and wind directions, in which wind patterns are extracted via clustering streamlines at user-given sampling time. To study the correlation between wind and PM2.5, we decompose time steps into time intervals according to the temporal similarity of streamlines. Additionally, we develop a 1D function dissimilarity measurement to study the temporal correlation between PM2.5concentrations and relevant weather factors, such as wind strength, relatively humidity and planetary boundary layer. Furthermore, we employ particle advection using pathline computation within the wind field to locate the origins and destinations of particles seeded in user-interested areas. We applied our system to study of a number of hazes occurring in January 2013 in Beijing, (China). Interpretations and evaluations from domain experts demonstrate the effectiveness of our system in facilitating haze study.Graphical abstract