Determination of the human impact on the drop in NO 2 air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).

Autor: Kovács KD; Université de Lorraine, Laboratoire LOTERR-EA7304, Île Du Saulcy, 57045, Metz, France. Electronic address: kamill-daniel.kovacs@univ-lorraine.fr.
Jazyk: angličtina
Zdroj: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2022 Aug 01; Vol. 306, pp. 119441. Date of Electronic Publication: 2022 May 10.
DOI: 10.1016/j.envpol.2022.119441
Abstrakt: This study investigates the relationship between territorial human influence and decreases in NO 2 air pollution during a total COVID-19 lockdown in Metropolitan France. NO 2 data from the confinement period and the Human Influence Index (HII) were implemented to address the problem. The relative change in tropospheric NO 2 was calculated using Sentinel-5P (TROPOMI) satellite data. Hotspot-Coldspot analysis was performed to examine the change in NO 2 . Moreover, the novel Human-Influenced Air Pollution Decrease Index (HIAPDI) was developed. Weather bias was investigated by implementing homogeneity analysis with χ 2 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 2 decrease during April 2020 under confinement measures and HII. The greater the anthropogenic influence, the greater the reduction of NO 2 in the regions (R 2  = 0.62). The new HIAPDI evidenced the degree of anthropogenic impact on NO 2 change. HIAPDI was found to be a reliable measure to determine the correlation between human influence and change in air pollution (R 2  = 0.93). It is concluded that the anthropogenic influence is a determining factor in the phenomenon of near-surface NO 2 reduction. The implementation of HIAPDI is recommended in the analysis of other polluting gases.
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Databáze: MEDLINE
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