Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery-Reference-Cited by-同舟云学术

Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery

Published:2024-02 Issue: Volume:342 Page:122973
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Kovács Kamill Dániel^ORCID,Haidu Ionel^ORCID

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference111 articles.

1. Covid-19 lockdown in spring 2020 in France provided unexpected opportunity to assess health impacts of falls in air pollution;Adélaïde;Front. Sustain. Cities,2021

2. Air pollution and health impacts during the COVID-19 lockdowns in Grenoble, France;Aix;Environ. Pollut.,2022

3. Local indicators of spatial association—LISA;Anselin;Geogr. Anal.,1995

4. Assessing the Impact of Lockdown in US, Italy and France– what Are the Changes in Air Quality? Energy Sources, Part A: Recovery, Utilization And Environmental Effects;Balasubramaniam,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of COVID-19 Lockdown on NO2 Pollution and the Associated Health Burden in China: A Comparison of Different Approaches;Toxics;2024-08-10

2. Analysis of the effect of intrinsic sludge properties on sludge drying characteristics from both sludge composition and type scales;Waste Management;2024-06

3. Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods;Journal of Environmental Management;2024-06

4. The WRF-CMAQ Simulation of a Complex Pollution Episode with High-Level O3 and PM2.5 over the North China Plain: Pollution Characteristics and Causes;Atmosphere;2024-02-04