The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)
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 urba...
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MDPI AG
2025-05-01
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| Online Access: | https://www.mdpi.com/2072-4292/17/10/1793 |
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| author | Yaru Meng Caixia Gao Wenping Yu Enyu Zhao Wan Li Renfei Wang Yongguang Zhao Hang Zhao Jian Zeng |
| author_facet | Yaru Meng Caixia Gao Wenping Yu Enyu Zhao Wan Li Renfei Wang Yongguang Zhao Hang Zhao Jian Zeng |
| author_sort | Yaru Meng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fee7db0d4a4648248ce29c6a7b18fa3e |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-fee7db0d4a4648248ce29c6a7b18fa3e2025-08-20T03:12:16ZengMDPI AGRemote Sensing2072-42922025-05-011710179310.3390/rs17101793The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023)Yaru Meng0Caixia Gao1Wenping Yu2Enyu Zhao3Wan Li4Renfei Wang5Yongguang Zhao6Hang Zhao7Jian Zeng8National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNational Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSchool of Geographical Sciences, Southwest University, Chongqing 400715, ChinaCollege of Information Science and Technology, Dalian Maritime University, Dalian 116026, ChinaNational Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNational Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNational Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaChina Centre for Resources Satellite Data and Application, Beijing 100094, ChinaChina Centre for Resources Satellite Data and Application, Beijing 100094, ChinaThe 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.https://www.mdpi.com/2072-4292/17/10/1793BeijingDalianinland and coastal citiessurface urban heat island effect |
| spellingShingle | Yaru Meng Caixia Gao Wenping Yu Enyu Zhao Wan Li Renfei Wang Yongguang Zhao Hang Zhao Jian Zeng The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) Remote Sensing Beijing Dalian inland and coastal cities surface urban heat island effect |
| title | The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) |
| title_full | The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) |
| title_fullStr | The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) |
| title_full_unstemmed | The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) |
| title_short | The Spatiotemporal Evolution and Driving Factors of Surface Urban Heat Islands: A Comparative Study of Beijing and Dalian (2003–2023) |
| title_sort | spatiotemporal evolution and driving factors of surface urban heat islands a comparative study of beijing and dalian 2003 2023 |
| topic | Beijing Dalian inland and coastal cities surface urban heat island effect |
| url | https://www.mdpi.com/2072-4292/17/10/1793 |
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