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Quantifying and characterizing the impacts of PM2.5 and humidity on atmospheric visibility in 182 Chinese cities: A nationwide time-series study

能见度 湿度 相对湿度 环境科学 微粒 气象学 大气科学 气候学 地理 化学 地质学 有机化学
作者
Yang Zhou,Yukun Wang,Xiaohan Xu,Jun Yang,Ou Chen
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:368: 133182-133182 被引量:6
标识
DOI:10.1016/j.jclepro.2022.133182
摘要

Ambient particulate matter less than 2.5 μm (PM2.5) and humidity have been considered as two leading determinants of atmospheric visibility. However, quantitative evidence of their independent and interactive effects on visibility is rare at multi-city level. Based on the data of 190 monitoring stations from 182 Chinese cities, the generalized linear model combined with nonlinear smoother was constructed to estimate the station-specific effects of PM2.5 and relative humidity on visibility. Then, multivariate meta-analysis was used to pool the station-specific estimates. Finally, attributable visibility loss respectively due to PM2.5 and humidity were calculated. In general, both PM2.5 and relative humidity were detected to have a significant non-linear negative influence on visibility. Per 1 μg/m3 increase in PM2.5 was associated with a visibility reduction of 0.232 km and 0.030 km under the level of PM2.5 below or above 68 μg/m3, respectively. The visibility declined by 0.105 km, 0.254 km, and 0.569 km per 1% increase in relative humidity under low (<58%), middle (58%–85%), and high (>85%) humidity, respectively. Significant interactive effects of PM2.5 and humidity were observed. The impacts of PM2.5 on visibility were significantly amplified in days with moderate humidity. However, extremely high humidity could largely attenuate the PM2.5-visibility association. The influence of extremely high humidity (like 99%) also consistently declined as the PM2.5 concentration elevated. From the national perspective, PM2.5 accounted for a higher proportion of average daily visibility loss than humidity [9.75 km (95%CI: 7.94, 11.57) vs. 7.23 km (95%CI: 5.02, 9.45)]. The relatively mild polluted southern China suffered from similar PM2.5-attributable visibility loss with northern China. The findings could provide important information for the prediction and improvement of atmospheric visibility.

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