Analysis of temporal and spatial variation of visibility in Beijing, China, from 2015 to 2020

Lingling Shen , Xuebo Fan , Xiya Zhang
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Abstract

This study analyzes the visibility characteristics in Beijing from 2015 to 2020 using the 10-min average horizonal visibility hourly data from 20 national meteorological stations (NMSs). We examine the visibility trends on different time and space scales, including year, month, day. Our findings reveal that the visibility of the Beijing area shows a noticeable change trend year by year. Overall, the number of days with high visibility (visibility ≥10 ​km) has increased, and the number of hours with low visibility (visibility < 1 ​km) has decreased. Low visibility in Beijing mainly occurs during winter, whereas high visibility occurs throughout the year. On a daily scale, low visibility mainly occurs around 6 a.m. and 8 p.m. Furthermore, the spatial distribution of high and low visibility in Beijing correlates with the topographic boundary between plains and mountains. We observed that mountainous areas have more days with increased visibility and fewer hours with low visibility, while plain areas have fewer days with high visibility and more hours with high visibility. These findings have implications for understanding the environmental hazards caused by poor visibility in Beijing, such as impaired air quality, increased traffic accidents, and reduced human mobility. By identifying the temporal and spatial patterns of visibility, this study provides valuable information that can be used to improve hazard mitigation strategies and promote public safety.

2015-2020年北京能见度时空变化分析
本研究利用20个国家气象站的10分钟平均水平能见度小时数据,分析了2015年至2020年北京的能见度特征。我们研究了不同时间和空间尺度上的能见度趋势,包括年、月、日。我们的研究结果表明,北京地区的能见度呈现出明显的逐年变化趋势。总体而言,高能见度天数(能见度≥10​km)增加,并且低能见度(能见度<;1​km)已经减少。北京的低能见度主要出现在冬季,而高能见度则出现在全年。在日尺度上,低能见度主要发生在早上6点和晚上8点左右。此外,北京高能见度和低能见度的空间分布与平原和山区的地形边界有关。我们观察到,山区能见度增加的天数更多,能见度低的小时数更少,而平原地区能见度高的天数更少,能见度高的小时数更多。这些发现对理解北京能见度低造成的环境危害具有重要意义,如空气质量受损、交通事故增加和人员流动性降低。通过确定能见度的时间和空间模式,本研究提供了有价值的信息,可用于改进危害缓解策略和促进公共安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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