| Autor: |
Man Sing Wong, Rui Zhu, Coco Yin Tung Kwok, Mei-Po Kwan, Paolo Santi, Chun Ho Liu, Kai Qin, Kwon Ho Lee, Joon Heo, Hon Li, Carlo Ratti |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Environmental Research Letters, Vol 16, Iss 5, p 054064 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1748-9326 |
| DOI: |
10.1088/1748-9326/abf396 |
| Popis: |
The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO _2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO _2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO _2 dispersion in different types of climates. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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