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印度新德里新冠疫情期间细颗粒物的时空变化及其对空气质量的影响。

Spatio-temporal variation in fine particulate matter and effect on air quality during the COVID-19 in New Delhi, India.

作者信息

Singh Bhupendra Pratap, Kumar Pramod

机构信息

Deshbandhu College, University of Delhi, India.

Department of Chemistry, University of Delhi, New Delhi, India.

出版信息

Urban Clim. 2021 Dec;40:101013. doi: 10.1016/j.uclim.2021.101013. Epub 2021 Oct 27.

Abstract

Novel Coronavirus disease has affected almost all the countries; which leads to the pandemic, impacting adversely on environment. The impact on environment during pre-and during lockdowns needs an attention to correlate the pollutants from industrial emissions and other factors. Therefore, the current study demonstrates the changes in fine particulate matter PM, PM and effect on air quality during lockdown. The highest reduction was observed in lockdown I (25 March - 14 April) as compared to others lockdowns (between 15 April and 31st May 2020) due to the complete shutdown of industrial, transport, and construction activities. A significant reduction in PM and PM from 114.27 μg/m and 194.48 μg/m for pre-lockdown period to 41.41 μg/m and 86.81 μg/m for lockdown I was observed. The levels of air quality index fall under satisfactory category for lockdown I whereas satisfactory to moderate category for other lockdowns. The present study revealed a strong correlation between PM and PM levels during the pre-lockdown period (0.71) and through lockdown IV (0.76), which indicate that change in the PM level influences the PM level greatly. The findings of the present study could be scaled up nationwide and might be useful in formulating air pollution reduction policies in the future.

摘要

新型冠状病毒病几乎影响了所有国家,导致了大流行,对环境产生了不利影响。封锁前和封锁期间对环境的影响需要关注,以关联工业排放的污染物和其他因素。因此,本研究展示了细颗粒物PM、PM的变化以及封锁期间对空气质量的影响。与其他封锁期(2020年4月15日至5月31日)相比,在封锁I期(3月25日至4月14日)观察到了最大降幅,这是由于工业、交通和建筑活动完全停工。观察到PM和PM从封锁前时期的114.27μg/m和194.48μg/m大幅降至封锁I期的41.41μg/m和86.81μg/m。空气质量指数水平在封锁I期属于良好类别,而在其他封锁期属于良好至中等类别。本研究表明,在封锁前时期(0.71)和直至封锁IV期(0.76),PM和PM水平之间存在很强的相关性,这表明PM水平的变化对PM水平有很大影响。本研究的结果可以在全国范围内推广,可能有助于未来制定空气污染减排政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac2/8549199/ef730f361b1e/ga1_lrg.jpg

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