2021
DOI: 10.4491/eer.2020.559
|View full text |Cite
|
Sign up to set email alerts
|

Exploring coupling effect between urban heat island effect and PM2.5 concentrations from the perspective of spatial environment

Abstract: The coupling effect between urban PM 2.5 concentrations and urban heat island effect has been paid more and more attention to. Previous studies mostly focused on the analysis of data correlations, lacking the interpretation of the formation texture. Taking Hefei as the subject, this study combined the spatial statistical model with the coupling coordination degree model to explore the influence of spatial environment-related indicators on the coupling effect of cities. In addition, at the micro level, the pape… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 58 publications
0
1
0
Order By: Relevance
“…However, existing research methods have certain flaws and deficiencies. Traditional studies often focus on the statistical analysis of macro-climatic data, overlooking the dynamic changes in thermodynamic parameters at the urban microscale [9][10][11][12][13][14][15]. Moreover, the lack of in-depth discussion on the response mechanism of the UHI effect under different architectural layout scenarios makes it difficult for research findings to be directly applied in urban planning practices [16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…However, existing research methods have certain flaws and deficiencies. Traditional studies often focus on the statistical analysis of macro-climatic data, overlooking the dynamic changes in thermodynamic parameters at the urban microscale [9][10][11][12][13][14][15]. Moreover, the lack of in-depth discussion on the response mechanism of the UHI effect under different architectural layout scenarios makes it difficult for research findings to be directly applied in urban planning practices [16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%