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Impact of Urban Climate Landscape Patterns on Land Surface Temperature in Wuhan, China

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  • Yasha Wang

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Collaborative Innovation Center of Geospatial Technology, Wuhan 430072, China
    Faculty of Design and Architecture, Zhejiang Wanli University, Ningbo 315100, China)

  • Qingming Zhan

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Collaborative Innovation Center of Geospatial Technology, Wuhan 430072, China)

  • Wanlu Ouyang

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Collaborative Innovation Center of Geospatial Technology, Wuhan 430072, China)

Abstract

Facing urban warming, mitigation and adaptation strategies are not efficient enough to tackle excessive urban heat, especially at the local scale. The local climate zone (LCZ) classification scheme is employed to examine the diversity and complexity of the climate response within a city. This study suggests that zonal practice could be an efficient way to bridge the knowledge gap between climate research and urban planning. Urban surfaces classified by LCZ are designated as urban climate landscapes, which extends the LCZ concept to urban planning applications. Selecting Wuhan as a case study, we attempt to explore the climatic effect of landscape patterns. Thermal effects are compared across the urban climate landscapes, and the relationships between patch metrics and land surface temperature (LST) are quantified. Results indicate that climate landscape layout is a considerable factor impacting local urban climate. For Wuhan, 500 m is an optimal scale for exploring landscape pattern-temperature relationships. Temperature contrast between surrounding landscape patches has a major influence on LST. Generally, fragmental landscape patches contribute to heat release. For most climate landscape types, patch metrics also have a significant effect on thermal response. When three metrics are included as predictive variables, 53.3% of the heating intensity variation can be explained for the Large Lowrise landscape, while 57.4% of the cooling intensity variation can be explained for the Water landscape. Therefore, this article claims that land-based layout optimization strategy at local scale, which conforms to planning manner, should be taken into account in terms of heat management.

Suggested Citation

  • Yasha Wang & Qingming Zhan & Wanlu Ouyang, 2017. "Impact of Urban Climate Landscape Patterns on Land Surface Temperature in Wuhan, China," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1700-:d:112923
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    References listed on IDEAS

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    1. Hannah Hoag, 2015. "How cities can beat the heat," Nature, Nature, vol. 524(7566), pages 402-404, August.
    2. Luc Adolphe, 2001. "A Simplified Model of Urban Morphology: Application to an Analysis of the Environmental Performance of Cities," Environment and Planning B, , vol. 28(2), pages 183-200, April.
    3. Michael Hebbert & Vladimir Jankovic, 2013. "Cities and Climate Change: The Precedents and Why They Matter," Urban Studies, Urban Studies Journal Limited, vol. 50(7), pages 1332-1347, May.
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    Cited by:

    1. Yu Li & Haipeng Ye & Xu Sun & Ji Zheng & Dan Meng, 2021. "Coupling Analysis of the Thermal Landscape and Environmental Carrying Capacity of Urban Expansion in Beijing (China) over the Past 35 Years," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    2. Han Xiao & Monika Kopecká & Shan Guo & Yanning Guan & Danlu Cai & Chunyan Zhang & Xiaoxin Zhang & Wutao Yao, 2018. "Responses of Urban Land Surface Temperature on Land Cover: A Comparative Study of Vienna and Madrid," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    3. Meng Huang & Peng Cui & Xin He, 2018. "Study of the Cooling Effects of Urban Green Space in Harbin in Terms of Reducing the Heat Island Effect," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    4. Tommaso Barbieri & Francesca Despini & Sergio Teggi, 2018. "A Multi-Temporal Analyses of Land Surface Temperature Using Landsat-8 Data and Open Source Software: The Case Study of Modena, Italy," Sustainability, MDPI, vol. 10(5), pages 1-23, May.

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