Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China
文献类型：期刊论文
| 作者 | Zhang, Ninghui1,2; Ye, Haipeng1,2,3; Zheng, Ji4; Leng, Xuejing2,5; Meng, Dan1; Li, Yu1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 14期号:4页码:18 |
| 关键词 | urban thermal environment COVID-19 lockdown nitrogen dioxide urban agglomeration |
| DOI | 10.3390/rs14040921 |
| 通讯作者 | Li, Yu(liy@igsnrr.ac.cn) |
| 英文摘要 | Under the threat of COVID-19, many regions around the world implemented lockdown policies to control the spread of the virus. This restriction on both social and economic activities has improved the quality of the environment in certain aspects. However, most previous studies have only focused on the short-term impact of lockdown policies on the urban environment. The long-term effects of lockdown require a more focused exploration and analysis. Thus, five major urban agglomerations in China were selected as the research area; changes in the numerical and spatial distribution of NO2 concentration and surface temperature during four different lockdown stages in 2019, 2020, and 2021 were investigated to analyze the long-term effects of lockdown policies on the urban environment. The results indicated that the impact of shorter lockdowns was short-term and unsustainable; the NO2 concentrations increased again with the resumption of production. Compared with air pollutants, thermal environmental problems are more complex. The effect of the lockdown policy was not reflected in the decrease in the area proportions of the high- and sub-high-temperature regions but rather in the spatial distribution of the high-temperature area, which was manifested as a fragmentation and dispersion of heat source patches. In addition to the severity of the lockdown, the impact of the lockdown policy was also closely related to the level of development and industrial structure of each city. Among the urban environments of the five agglomerations, the most affected were the Yangtze River Delta and Yangtze River Middle-Reach urban agglomerations, which had the largest decline in NO2 concentrations and the most notable fragmentation of heat source patches. |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; SPLIT-WINDOW ALGORITHM ; AIR-QUALITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000762043300001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/172197]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Yu |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Tsinghua Univ, Inst Geomat, Dept Civil Engn, 3S Ctr, Beijing 100084, Peoples R China 4.Univ Hong Kong, Dept Urban Planning & Design, Pokfulam, Hong Kong, Peoples R China 5.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Ninghui,Ye, Haipeng,Zheng, Ji,et al. Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China[J]. REMOTE SENSING,2022,14(4):18. |
| APA | Zhang, Ninghui,Ye, Haipeng,Zheng, Ji,Leng, Xuejing,Meng, Dan,&Li, Yu.(2022).Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China.REMOTE SENSING,14(4),18. |
| MLA | Zhang, Ninghui,et al."Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China".REMOTE SENSING 14.4(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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