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The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
by
Li, Wan
, Zeng, Jian
, Yu, Wenping
, Zhao, Enyu
, Gao, Caixia
, Zhao, Yongguang
, Meng, Yaru
, Zhao, Hang
, Wang, Renfei
in
Beijing
/ Cities
/ Climate adaptation
/ Comparative studies
/ Dalian
/ Datasets
/ Economic activity
/ Geospatial data
/ Heat
/ inland and coastal cities
/ Islands
/ Land surface temperature
/ Light
/ Outdoor air quality
/ Precipitation
/ Quality of life
/ Remote sensing
/ Spatiotemporal data
/ surface urban heat island effect
/ Temperature
/ Urban climatology
/ Urban development
/ Urban environments
/ Urban heat islands
/ Urbanization
/ Vegetation
/ Winter
2025
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The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
by
Li, Wan
, Zeng, Jian
, Yu, Wenping
, Zhao, Enyu
, Gao, Caixia
, Zhao, Yongguang
, Meng, Yaru
, Zhao, Hang
, Wang, Renfei
in
Beijing
/ Cities
/ Climate adaptation
/ Comparative studies
/ Dalian
/ Datasets
/ Economic activity
/ Geospatial data
/ Heat
/ inland and coastal cities
/ Islands
/ Land surface temperature
/ Light
/ Outdoor air quality
/ Precipitation
/ Quality of life
/ Remote sensing
/ Spatiotemporal data
/ surface urban heat island effect
/ Temperature
/ Urban climatology
/ Urban development
/ Urban environments
/ Urban heat islands
/ Urbanization
/ Vegetation
/ Winter
2025
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Do you wish to request the book?
The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
by
Li, Wan
, Zeng, Jian
, Yu, Wenping
, Zhao, Enyu
, Gao, Caixia
, Zhao, Yongguang
, Meng, Yaru
, Zhao, Hang
, Wang, Renfei
in
Beijing
/ Cities
/ Climate adaptation
/ Comparative studies
/ Dalian
/ Datasets
/ Economic activity
/ Geospatial data
/ Heat
/ inland and coastal cities
/ Islands
/ Land surface temperature
/ Light
/ Outdoor air quality
/ Precipitation
/ Quality of life
/ Remote sensing
/ Spatiotemporal data
/ surface urban heat island effect
/ Temperature
/ Urban climatology
/ Urban development
/ Urban environments
/ Urban heat islands
/ Urbanization
/ Vegetation
/ Winter
2025
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The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
Journal Article
The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
2025
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Overview
The urban heat island (UHI) effect significantly impacts urban environments and quality of life, yet research comparing coastal and inland cities is relatively lacking. This study, using the MYD11A2 dataset, analyzes the spatiotemporal evolution of land surface temperature (LST) and the surface urban heat island intensity index (SUHIII) in Beijing (inland) and Dalian (coastal) from 2003 to 2023, exploring the driving factors from 2003 to 2018 and proposing mitigation strategies for similar cities. Key findings: (1) Beijing’s SUHIII is 0.45 °C higher than Dalian’s during summer days, while Dalian’s SUHIII is 0.24 °C stronger than Beijing’s during winter nights, likely due to Dalian’s maritime climate, which raises nighttime LSTs and intensifies the winter SUHIII. (2) Both cities show similar trends in LST and SUHIII, with fluctuations until 2010, an increase after 2011, and a peak in 2023, with the expansion of heat island areas occurring mainly in suburban regions. (3) From 2003 to 2018, TEMP is the primary factor promoting SUHIII, followed by ET and POP, with EVI as the main mitigating factor. Beijing’s PREP weakens SUHI, while Dalian’s PREP promotes it. Coastal cities should focus on water bodies and wetland planning to mitigate heat islands, especially in areas like Dalian which are affected by PREP.
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