摘要
本文针对大气中的PM_(2.5)和PM_(10)的浓度异常导致的倒挂现象,从数据出发,利用描述性统计方法分析倒挂现象的特征,并基于这些特征进行相关性检验,分析可能导致倒挂现象的原因:低温度、高湿度都有可能造成倒挂现象;冬季、夏季更可能发生倒挂现象;不同的测量仪器也会影响倒挂现象的发生。本文深度分析了倒挂现象带来的负面影响,提出了避免或减轻倒挂现象的策略。
The concentration reversal phenomenon of particulate matter PM_(2.5)and PM_(10)in the atmosphere,characterized by abnormal highs and lows,was investigated in this study.Descriptive statistical analysis was conducted to show the characteristics of the reversal events based on monitoring data.Correlation analysis was then performed to explore the potential influencing factors.Low temperature and high humidity conditions were found to facilitate the occurrence of reversals,which tended to be more prevalent in winter and summer.Different monitoring devices could also impact the reversal patterns.The adverse effects of such anomalous PM fluctuations were thoroughly evaluated.Finally,strategies were proposed to avoid or alleviate future reversal events.
作者
黄晓轶
HUANG Xiaoyi(Shanxi Polytechnic College,Taiyuan 030006,China)
出处
《黑龙江环境通报》
2023年第7期10-13,共4页
Heilongjiang Environmental Journal
基金
2022年度职业院校数字化转型行动研究课题:“智改数转”行业发展下高职环境专业数字化改造路径研究(KT22195)。
