摘要
基于长时间序列颗粒物PM_(2.5)和PM_(10)小时数据,分析了PM_(2.5)和PM_(10)出现“倒挂”的特征。从年度、季节、月度和日变化等方面分析了“倒挂”变化特征,结合相对湿度、风速、风向、PM_(2.5)浓度等条件分析“倒挂”产生的影响因素。结果表明:湿度较高的月份(尤其当相对湿度超过80%时)和PM_(2.5)浓度较高时(尤其当PM_(2.5)浓度在大于150μg/m 3时)“倒挂”现象较严重,冷空气来临风速较大时“倒挂”率也很高。
Based on long time series of particulate matter PM_(2.5) and PM_(10) hour data,this paper analyzes the reversal characteristics of PM_(2.5) and PM_(10).The characteristics about reversal between PM_(2.5)and PM_(10) monitoring data in terms of interannual,seasonal,monthly and 24-hour changes are analyzed.The influencing factors of concentration and other conditions are analyzed combined with relative humidity,wind speed,wind direction and PM_(2.5).The results show that the months with high relative humidity(especially when the relative humidity exceeds 80%)or high PM_(2.5)concentration(especially when PM_(2.5)concentration is greater than 150μg/m^(3))or high wind speed,reversal appearance is quite serious.
作者
史鉴洪
王超
唐光友
Shi Jianhong;Wang Chao;Tang Guangyou(Tianjin Nankai District Ecological Environment Monitoring Center,Tanjin 300193,China)
出处
《绿色科技》
2022年第12期36-39,43,共5页
Journal of Green Science and Technology
关键词
颗粒物
倒挂
污染特征
particulate matter
reversal
pollution characteristics