In:
PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 3 ( 2023-3-9), p. e0282706-
Abstract:
A novel economic impact model is proposed by this paper to analyze the impact of economic downturn on the air quality in Wuhan during the epidemic period, and to explore the effective solutions to improve the urban air pollution. The Space Optimal Aggregation Model (SOAM) is used to evaluate the air quality of Wuhan from January to April in 2019 and 2020. The analysis results show that the air quality of Wuhan from January to April 2020 is better than that of the same period in 2019, and it shows a gradually better trend. This shows that although the measures of household isolation, shutdown and production stoppage adopted during the epidemic period in Wuhan caused economic downturn, it objectively improved the air quality of the city. In addition, the impact of economic factors on PM 2.5 , SO 2 and NO 2 is 19%, 12% and 49% respectively calculated by the SOMA. This shows that industrial adjustment and technology upgrading for enterprises that emit a large amount of NO 2 can greatly improve the air pollution situation in Wuhan. The SOMA can be extended to any city to analyze the impact of the economy on the composition of air pollutants, and it has extremely important application value at the level of industrial adjustment and transformation policy formulation.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0282706
DOI:
10.1371/journal.pone.0282706.g001
DOI:
10.1371/journal.pone.0282706.g002
DOI:
10.1371/journal.pone.0282706.g003
DOI:
10.1371/journal.pone.0282706.g004
DOI:
10.1371/journal.pone.0282706.g005
DOI:
10.1371/journal.pone.0282706.g006
DOI:
10.1371/journal.pone.0282706.g007
DOI:
10.1371/journal.pone.0282706.g008
DOI:
10.1371/journal.pone.0282706.g009
DOI:
10.1371/journal.pone.0282706.g010
DOI:
10.1371/journal.pone.0282706.g011
DOI:
10.1371/journal.pone.0282706.t001
DOI:
10.1371/journal.pone.0282706.s001
DOI:
10.1371/journal.pone.0282706.s002
DOI:
10.1371/journal.pone.0282706.s003
DOI:
10.1371/journal.pone.0282706.r001
DOI:
10.1371/journal.pone.0282706.r002
DOI:
10.1371/journal.pone.0282706.r003
DOI:
10.1371/journal.pone.0282706.r004
DOI:
10.1371/journal.pone.0282706.r005
DOI:
10.1371/journal.pone.0282706.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2267670-3
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