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利用人为影响空气污染减少指数(HIAPDI)确定 COVID-19 全面封锁对大气中 NO 污染下降的人为影响。

Determination of the human impact on the drop in NO air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).

机构信息

Université de Lorraine, Laboratoire LOTERR-EA7304, Île Du Saulcy, 57045, Metz, France.

出版信息

Environ Pollut. 2022 Aug 1;306:119441. doi: 10.1016/j.envpol.2022.119441. Epub 2022 May 10.

Abstract

This study investigates the relationship between territorial human influence and decreases in NO air pollution during a total COVID-19 lockdown in Metropolitan France. NO data from the confinement period and the Human Influence Index (HII) were implemented to address the problem. The relative change in tropospheric NO was calculated using Sentinel-5P (TROPOMI) satellite data. Hotspot-Coldspot analysis was performed to examine the change in NO. Moreover, the novel Human-Influenced Air Pollution Decrease Index (HIAPDI) was developed. Weather bias was investigated by implementing homogeneity analysis with χ test. The correlations between variables were tested with the statistical T-test. Likewise, remote observations were validated with data from in-situ monitoring stations. The study showed a strong correlation between the NO decrease during April 2020 under confinement measures and HII. The greater the anthropogenic influence, the greater the reduction of NO in the regions (R = 0.62). The new HIAPDI evidenced the degree of anthropogenic impact on NO change. HIAPDI was found to be a reliable measure to determine the correlation between human influence and change in air pollution (R = 0.93). It is concluded that the anthropogenic influence is a determining factor in the phenomenon of near-surface NO reduction. The implementation of HIAPDI is recommended in the analysis of other polluting gases.

摘要

本研究调查了在法国大都市 COVID-19 全面封锁期间,领土人类活动影响与 NO 空气污染减少之间的关系。利用封锁期间的 NO 数据和人类影响指数(HII)来解决这个问题。利用 Sentinel-5P(TROPOMI)卫星数据计算了对流层 NO 的相对变化。通过热点-冷点分析来检验 NO 的变化。此外,还开发了新的人类影响空气污染减少指数(HIAPDI)。利用 χ 检验进行均匀性分析来研究天气偏差。利用统计 T 检验检验变量之间的相关性。同样,利用现场监测站的数据验证了远程观测结果。研究表明,在 2020 年 4 月的禁闭措施下,NO 的减少与 HII 之间存在很强的相关性。人类活动的影响越大,该地区的 NO 减少量就越大(R=0.62)。新的 HIAPDI 证明了人为因素对 NO 变化的影响程度。发现 HIAPDI 是确定人类影响与空气污染变化之间相关性的可靠指标(R=0.93)。研究结果表明,人为影响是近地表 NO 减少现象的一个决定性因素。建议在分析其他污染气体时采用 HIAPDI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ee8/9487181/eae3a14b2b23/ga1_lrg.jpg

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