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Determination of the human impact on the drop in NO₂ air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).

ABSTRACT: This study investigates the relationship between territorial human influence and decreases in NO₂ air pollution during a total COVID-19 lockdown in Metropolitan France. NO₂ data from the confinement period and the Human Influence Index (HII) were implemented to address the problem. The relative change in tropospheric NO₂ was calculated using Sentinel-5P (TROPOMI) satellite data. Hotspot-Coldspot analysis was performed to examine the change in NO₂. Moreover, the novel Human-Influenced Air Pollution Decrease Index (HIAPDI) was developed. Weather bias was investigated by implementing homogeneity analysis with χ² test. The correlations between variables were tested with the statistical T-test. Likewise, remote observations were validated w

SUBMITTER: Kovacs KD

PROVIDER: S-EPMC9487181 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Dataset Information

Determination of the human impact on the drop in NO₂ air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).

OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Determination of the human impact on the drop in NO2 air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).

OmicsDI is part of the ELIXIR infrastructure

Tweets

Determination of the human impact on the drop in NO₂ air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI).