Distinct impacts of light and heavy precipitation on PM2.5 mass concentration in Beijing
Abstract
Using hourly observation data of precipitation and M2.5 over 12 sites in Beijing from 2015 to 2017, this study investigates the characteristics of precipitation and PM2.5, and emphasizes the impacts of different types of precipitation on PM2.5 mass concentration. There were totally 91~123 precipitation events annually, with the probability of less than 5 mm precipitation between 69.7% ~ 79.4%. By investigating the differences of PM2.5 mass concentration between 1 hour after and before the precipitation events, this study finds distinct impacts of different types of precipitation on PM2.5 mass concentration. For precipitation events with amount of 0.1~0.5 mm, PM2.5 mass concentration increased with precipitation amount with a rate of 0.85 μg/m3 per 0.1 mm. For precipitation events with amount of 0.5~10 mm, there was no clear relationship between precipitation amount and PM2.5 mass concentration. For precipitation events with amount larger than 10 mm, PM2.5 mass concentration decreased with precipitation amount with a rate of 0.17 μg/m3 per 1 mm. Further analysis shows that weak precipitation less than 10 mm increased PM10 and heavy precipitation larger than 10 mm decreased PM10. The particle amount also affects the response of PM2.5 to precipitation, with weak pollution prone to increase with precipitation and heavy pollution prone to decrease with precipitation. Likely mechanisms are discussed, which include the aerosol hygroscopic growth and gas-particle conversion that increase aerosol amount, and precipitation scavenging that decreases aerosol amount. Shortly, the mechanisms that increase (decrease) aerosol amount dominants when precipitation is light (heavy).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A43K3074S
- Keywords:
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- 0320 Cloud physics and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0321 Cloud/radiation interaction;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 1640 Remote sensing;
- GLOBAL CHANGE