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Transformation of Urban Surfaces and Heat Islands in Nanjing during 1984–2018

Author

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  • Yanxia Li

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Xinkai Zhang

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai 200092, China)

  • Sijie Zhu

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Xiaoyu Wang

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Yongdong Lu

    (School of Architecture, Southeast University, Nanjing 210096, China
    Key Laboratory of Urban and Architectural Heritage Conservation, Ministry of Education, Nanjing 210096, China)

  • Sihong Du

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai 200092, China)

  • Xing Shi

    (School of Architecture, Southeast University, Nanjing 210096, China
    College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai 200092, China)

Abstract

One of the many consequences of urbanization is the expansion of cities into rural areas, which leads to the transformation of lands from natural surfaces to developed surfaces. It is widely considered an established fact that urbanization generally increases the heat island effect. The objective of this study is to understand the pattern of urban surface transformation in the city of Nanjing since 1980 and to find, if any, the correlation between such transformation and the urban heat island effect. The supervised classification technique was used to analyze the remote sensing data obtained from Landsat to identify the different kinds of underlying surfaces. Land surface temperatures were calculated using a subset of Landsat data. The correlation between the transformation of underlying surfaces and the heat island effect was established through analytical and statistical approaches. The results clearly show that the proportion of developed surfaces has been steadily rising in Nanjing in the past 30 years and that the urban heat island effect is positively correlated with the expansion of hard pavement and the deterioration of green surfaces and water bodies considering the general trend.

Suggested Citation

  • Yanxia Li & Xinkai Zhang & Sijie Zhu & Xiaoyu Wang & Yongdong Lu & Sihong Du & Xing Shi, 2020. "Transformation of Urban Surfaces and Heat Islands in Nanjing during 1984–2018," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6521-:d:398119
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    References listed on IDEAS

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    1. Yang, Xiaoshan & Peng, Lilliana L.H. & Jiang, Zhidian & Chen, Yuan & Yao, Lingye & He, Yunfei & Xu, Tianjing, 2020. "Impact of urban heat island on energy demand in buildings: Local climate zones in Nanjing," Applied Energy, Elsevier, vol. 260(C).
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    Cited by:

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    2. Susca, T. & Zanghirella, F. & Colasuonno, L. & Del Fatto, V., 2022. "Effect of green wall installation on urban heat island and building energy use: A climate-informed systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Kailin Shang & Linfeng Xu & Xuan Liu & Zhengtong Yin & Zhixin Liu & Xiaolu Li & Lirong Yin & Wenfeng Zheng, 2023. "Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model," SAGE Open, , vol. 13(4), pages 21582440231, November.

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