PuSH - Publikationsserver des Helmholtz Zentrums München: COVID-19 mitigation measures and nitrogen dioxide - a quasi-experimental study of air quality in Munich, Germany.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Burns, J.* ; Hoffmann, S.* ; Kurz, C.F. ; Laxy, M. ; Polus, S.* ; Rehfuess, E.*

COVID-19 mitigation measures and nitrogen dioxide - a quasi-experimental study of air quality in Munich, Germany.

Atmos. Environ. 246:118089 (2021)

Verlagsversion

Postprint

Forschungsdaten

DOI

PMC

	Open Access Hybrid

Abstract
Metriken
Zusatzinfos

Background: In response to the COVID-19 pandemic, the Bavarian State government announced several COVID-19 mitigation measures beginning on March 16, 2020, which likely led to a reduction in traffic and a subsequent improvement in air quality. In this study, we evaluated the short-term effect of COVID-19 mitigation measures on NO₂ concentrations in Munich, Germany. Methods: We applied two quasi-experimental approaches, a controlled interrupted time-series (c-ITS) approach and a synthetic control (SC) approach. Each approach compared changes occurring in 2020 to changes occurring in 2014-2019, and accounted for weather-related and other potential confounders. We hypothesized that the largest reductions in NO₂ concentrations would be observed at traffic sites, with smaller reductions at urban background sites, and even small reductions, if any, at background sites. All hypotheses, as well as the main and additional analyses were defined a priori. We also conducted post-hoc analyses to ensure that observed effects were not due to factors other than the intervention. Results: Main analyses largely supported our hypotheses. Specifically, at the two traffic sites, using the c-ITS approach we observed reductions of 9.34 μg/m³ (95% confidence interval: -23.58; 4.90) and 10.02 μg/m³ (-19.25; -0.79). Using the SC approach we observed reductions of 15.65 μg/m³ (-27.58; -4.09) and 15.1 μg/m³ (-24.82; -9.83) at these same sites. We observed effects ranging from smaller in magnitude to no effect at urban background and background sites. Additional analyses showed that the effect was largest in the first two weeks following introduction of measures, and that a 3-day lagged intervention time also showed a larger effect. Post-hoc analyses suggested that at least some of the observed effects may have been attributable to changes in air quality occurring before the intervention, as well as unusually high concentrations in January 2020. Conclusion: We applied two quasi-experimental approaches in assessing the impact of the COVID-19 mitigation measures on NO₂ concentrations in Munich. Taking the 2020 pre-intervention average concentrations as a reference, we observed reductions in NO₂ concentrations of approximately 15-25% and 24-36% at traffic sites, suggesting that reducing traffic may be an effective measure to reduce NO₂ concentrations in heavily trafficked areas by margins which could translate to public health benefits.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

4.798

1.556