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Seasonal SUHI Analysis Using Local Climate Zone Classification: A Case Study of Wuhan, China

Author

Listed:
  • Lingfei Shi

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Feng Ling

    (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China)

  • Giles M. Foody

    (School of Geography, University of Nottingham, Nottingham NG7 2RD, UK)

  • Zhen Yang

    (College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Xixi Liu

    (College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Yun Du

    (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China)

Abstract

The surface urban heat island (SUHI) effect poses a significant threat to the urban environment and public health. This paper utilized the Local Climate Zone (LCZ) classification and land surface temperature (LST) data to analyze the seasonal dynamics of SUHI in Wuhan based on the Google Earth Engine platform. In addition, the SUHI intensity derived from the traditional urban–rural dichotomy was also calculated for comparison. Seasonal SUHI analysis showed that (1) both LCZ classification and the urban–rural dichotomy confirmed that Wuhan’s SHUI effect was the strongest in summer, followed by spring, autumn and winter; (2) the maximum SUHI intensity derived from LCZ classification reached 6.53 °C, which indicated that the SUHI effect was very significant in Wuhan; (3) LCZ 8 (i.e., large low-rise) had the maximum LST value and LCZ G (i.e., water) had the minimum LST value in all seasons; (4) the LST values of compact high-rise/midrise/low-rise (i.e., LCZ 1–3) were higher than those of open high-rise/midrise/low-rise (i.e., LCZ 4–6) in all seasons, which indicated that building density had a positive correlation with LST; (5) the LST values of dense trees (i.e., LCZ A) were less than those of scattered trees (i.e., LCZ B) in all seasons, which indicated that vegetation density had a negative correlation with LST. This paper provides some useful information for urban planning and contributes to the healthy and sustainable development of Wuhan.

Suggested Citation

  • Lingfei Shi & Feng Ling & Giles M. Foody & Zhen Yang & Xixi Liu & Yun Du, 2021. "Seasonal SUHI Analysis Using Local Climate Zone Classification: A Case Study of Wuhan, China," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7242-:d:589549
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    References listed on IDEAS

    as
    1. Jinling Quan, 2019. "Multi-Temporal Effects of Urban Forms and Functions on Urban Heat Islands Based on Local Climate Zone Classification," IJERPH, MDPI, vol. 16(12), pages 1-35, June.
    2. Lingfei Shi & Feng Ling, 2021. "Local Climate Zone Mapping Using Multi-Source Free Available Datasets on Google Earth Engine Platform," Land, MDPI, vol. 10(5), pages 1-18, April.
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    Cited by:

    1. Xiaxuan He & Qifeng Yuan & Yinghong Qin & Junwen Lu & Gang Li, 2024. "Analysis of Surface Urban Heat Island in the Guangzhou-Foshan Metropolitan Area Based on Local Climate Zones," Land, MDPI, vol. 13(10), pages 1-34, October.
    2. Ya Hui Teo & Mohamed Akbar Bin Humayun Makani & Weimeng Wang & Linglan Liu & Jun Hong Yap & Kang Hao Cheong, 2022. "Urban Heat Island Mitigation: GIS-Based Analysis for a Tropical City Singapore," IJERPH, MDPI, vol. 19(19), pages 1-23, September.
    3. Chongqing Wang & He Zhang & Zhongxu Ma & Huan Yang & Wenxiao Jia, 2024. "Urban Morphology Influencing the Urban Heat Island in the High-Density City of Xi’an Based on the Local Climate Zone," Sustainability, MDPI, vol. 16(10), pages 1-22, May.
    4. Jie Han & Nan Mo & Jingyi Cai & Leixin Ouyang & Zhengxuan Liu, 2024. "Advancing the local climate zones framework: a critical review of methodological progress, persisting challenges, and future research prospects," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    5. Rodrigo Fernandes & Antonio Ferreira & Victor Nascimento & Marcos Freitas & Jean Ometto, 2024. "Urban Heat Island Assessment in the Northeastern State Capitals in Brazil Using Sentinel-3 SLSTR Satellite Data," Sustainability, MDPI, vol. 16(11), pages 1-16, June.

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