Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion
As an important component of underlying urban surfaces, the distribution pattern and density of the impervious surface area (ISA) play an important role in the generation of surface urban heat island (SUHI) effects. However, the quantitative and localized exploration of the ISA’s influence on SUHIs...
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PeerJ Inc.
2021-07-01
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| Online Access: | https://peerj.com/articles/11854.pdf |
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| author | Xiaoliang Ma Shuangyun Peng |
| author_facet | Xiaoliang Ma Shuangyun Peng |
| author_sort | Xiaoliang Ma |
| collection | DOAJ |
| description | As an important component of underlying urban surfaces, the distribution pattern and density of the impervious surface area (ISA) play an important role in the generation of surface urban heat island (SUHI) effects. However, the quantitative and localized exploration of the ISA’s influence on SUHIs in the process of urban expansion from the perspective of temporal and spatial changes is still not clear. Based on multisource remote sensing data, the SUHI effect of urban expansion is revealed by using geospatial analysis methods such as profile, difference and regression analysis. The results show the following: (1) urban expansion plays a significant role in aggravating SUHIs. Overall, the ISA and land surface temperature (LST) have obvious consistency in terms of spatial distribution patterns. However, local spatial differentiation is significant. The areas with the highest LST were not concentrated in the downtown area with the highest ISA but were scattered in the cultivated land and exposed surface areas under development in the northern part of the city. (2) In general, the ISA can explain the spatial distribution of LST well, there is an obvious positive correlation between them, and the quadratic polynomial function is the best fitting model between them. (3) The density and spatial allocation of ecological elements, such as green space and water bodies, play an important role in alleviating SUHIs. This study found that the urban center with the highest ISA coverage rate has no significant SUHI due to the reasonable allocation of green space and water bodies. The research results can provide a scientific basis for future urban planning and ecological environment construction. |
| first_indexed | 2024-03-09T06:33:12Z |
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| id | doaj.art-a0660b6f741147219cb1958c77d30b4a |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:33:12Z |
| publishDate | 2021-07-01 |
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| spelling | doaj.art-a0660b6f741147219cb1958c77d30b4a2023-12-03T11:02:26ZengPeerJ Inc.PeerJ2167-83592021-07-019e1185410.7717/peerj.11854Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansionXiaoliang Ma0Shuangyun Peng1Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, ChinaFaculty of Geography, Yunnan Normal University, Kunming, Yunnan, ChinaAs an important component of underlying urban surfaces, the distribution pattern and density of the impervious surface area (ISA) play an important role in the generation of surface urban heat island (SUHI) effects. However, the quantitative and localized exploration of the ISA’s influence on SUHIs in the process of urban expansion from the perspective of temporal and spatial changes is still not clear. Based on multisource remote sensing data, the SUHI effect of urban expansion is revealed by using geospatial analysis methods such as profile, difference and regression analysis. The results show the following: (1) urban expansion plays a significant role in aggravating SUHIs. Overall, the ISA and land surface temperature (LST) have obvious consistency in terms of spatial distribution patterns. However, local spatial differentiation is significant. The areas with the highest LST were not concentrated in the downtown area with the highest ISA but were scattered in the cultivated land and exposed surface areas under development in the northern part of the city. (2) In general, the ISA can explain the spatial distribution of LST well, there is an obvious positive correlation between them, and the quadratic polynomial function is the best fitting model between them. (3) The density and spatial allocation of ecological elements, such as green space and water bodies, play an important role in alleviating SUHIs. This study found that the urban center with the highest ISA coverage rate has no significant SUHI due to the reasonable allocation of green space and water bodies. The research results can provide a scientific basis for future urban planning and ecological environment construction.https://peerj.com/articles/11854.pdfUrban expansionSurface urban heat islandTempo-spatial variationGeospatial analysisPlateau lakeside city |
| spellingShingle | Xiaoliang Ma Shuangyun Peng Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion PeerJ Urban expansion Surface urban heat island Tempo-spatial variation Geospatial analysis Plateau lakeside city |
| title | Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| title_full | Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| title_fullStr | Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| title_full_unstemmed | Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| title_short | Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| title_sort | assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion |
| topic | Urban expansion Surface urban heat island Tempo-spatial variation Geospatial analysis Plateau lakeside city |
| url | https://peerj.com/articles/11854.pdf |
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