Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming

Abstract Airborne black carbon is a strong warming component of the atmosphere. Therefore, curbing black carbon emissions should slow down global warming. The 2019 coronavirus pandemic (COVID-19) is a unique opportunity for studying the response of black carbon to the varied human activities, in particular due to lockdown policies. Actually, there is few knowledge on the variations of black carbon in China during lockdowns. Here, we studied the concentrations of particulate matter ($ PM_{2.5} $) and black carbon before, during, and after the lockdown in nine sites of the Yangtze River Delta in Eastern China. Results show 40–60% reduction of $ PM_{2.5} $ and 40–50% reduction of black carbon during the lockdown. The classical bimodal peaks of black carbon in the morning and evening rush hours were highly weakened, indicating the substantial decrease of traffic activities. Contributions from fossil fuels combustion to black carbon decreased about 5–10% during the lockdown. Spatial correlation analysis indicated the clustering of the multi-site black carbon concentrations in the Yangtze River Delta during the lockdown. Overall, control of emissions from traffic and industrial activities should be efficient to curb black carbon levels in the frame of a ‘green public transit system’ for mega-city clusters such as the Yangtze River Delta..

Medienart:

Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:20

Enthalten in:

Environmental chemistry letters - 20(2021), 1 vom: 21. Sept., Seite 71-80

Sprache:

Englisch

Beteiligte Personen:

Li, Hao [VerfasserIn]
Huang, Kan [VerfasserIn]
Fu, Qingyan [VerfasserIn]
Lin, Yanfen [VerfasserIn]
Chen, Jia [VerfasserIn]
Deng, Congrui [VerfasserIn]
Tian, Xudong [VerfasserIn]
Tang, Qian [VerfasserIn]
Song, Qingchuan [VerfasserIn]
Wei, Zhen [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

Black carbon
COVID-19
Lockdown
Spatial correlation
Yangtze River Delta

Anmerkungen:

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021

doi:

10.1007/s10311-021-01327-3

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2078048186