State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinwai Street, Beijing 100875, PR China.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinwai Street, Beijing 100875, PR China.
Environ Pollut. 2014 Sep;192:266-74. doi: 10.1016/j.envpol.2014.04.036. Epub 2014 May 22.
Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001-2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM10, followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM10 would be effective for improving atmospheric pollution.
大气污染已成为中国北京都市圈面临的重大挑战。本研究采用小波分析和灰色分析方法，探讨了 2001-2012 年期间大气颗粒物（PM10）的时间特征及其与气象因素的关系。分析表明，过去十年空气质量有了显著改善。大气污染具有明显的年际、季节性和月变化特征，表明空气质量在春季最差，夏季有所改善，随后在秋季和冬季趋于更加严重。一般来说，气压是影响 PM10 的最重要气象特征，其次是相对湿度和风速。然而，影响大气污染的主导气象因素在四季有所不同。研究结果表明，基于气象因素与 PM10 之间关系的城市设计和有效措施将有助于改善大气污染。
