| 摘要: |
| 基于2019年1月1日至2023年12月31日的小时降水资料和大气颗粒物(PM2.5、PM10)小时资料,利用统计学方法,探讨不同降水总量、降水时长及降水强度对大气颗粒物的清除作用。并分析典型降水过程的清除能力。分析得知,降水过程对大气颗粒物的清除效果受降水总量、降水时长、降水强度的共同影响。降水总量、降水时长和降水强度的增加有助于促进对PM2.5、PM10的清除,有效清除的比例也随之增加；连续降水对于大气颗粒物的湿清除作用具有改善效果,降低 PM2.5、PM10浓度,但是阵性降水对消除效果具有一定的限度。在降水前后,PM2.5和PM10的清除效率与降水量之间存在显著的正相关关系。此分析结果为人工增雨作业时段和城管部门人工降尘时机选择提供参考。 |
| 关键词: 大气颗粒物 湿清除 降水 |
| DOI： |
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| 基金项目:江苏省泰州气象局科研项目《泰州大气污染物湿清除特征研究》 |
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| Analysis of wet removal characteristics of atmospheric particulate matter under clouds in Taizhou area |
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| Abstract: |
| Based on hourly precipitation data and atmospheric particulate matter (PM2.5, PM10) hourly data from January 1, 2019 to December 31, 2023, statistical methods were used to explore the removal effects of different precipitation amounts, duration, and intensity on atmospheric particulate matter. And analyze the clearing ability of typical precipitation processes. Analysis shows that the removal effect of atmospheric particulate matter during precipitation is influenced by the total amount, duration, and intensity of precipitation. The increase in total precipitation, precipitation duration, and precipitation intensity helps to promote the removal of PM2.5 and PM10, and the proportion of effective removal also increases accordingly; Continuous precipitation has an improvement effect on the wet removal of atmospheric particulate matter, reducing PM2.5 and PM10 concentrations, but intermittent precipitation has certain limitations on the elimination effect. There is a significant positive correlation between the removal efficiency of PM2.5 and PM10 and precipitation before and after precipitation. This analysis provides reference for the selection of artificial precipitation operation periods and the timing of artificial dust reduction by urban management departments. |
| Key words: Atmospheric particulate matter Wet cleaning precipitation |
