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Spatio-Temporal Features of Urban Heat Island and Its Relationship with Land Use/Cover in Mountainous City: A Case Study in Chongqing

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  • Chunxia Liu

    (College of Geography and Tourism, Chongqing Normal University, 37 Daxuechengzhong Road, Chongqing 401331, China
    Chongqing Key Laboratory of GIS Application, 37 Daxuechengzhong Road, Chongqing 401331, China
    Institute of Eco-environment remote sensing in Three Gorges Reservoir Region, Chongqing Normal University, 37 Daxuechengzhong Road, Chongqing 401331, China)

  • Yuechen Li

    (College of Geography and Tourism, Chongqing Normal University, 37 Daxuechengzhong Road, Chongqing 401331, China
    Chongqing Key Laboratory of GIS Application, 37 Daxuechengzhong Road, Chongqing 401331, China
    Institute of Eco-environment remote sensing in Three Gorges Reservoir Region, Chongqing Normal University, 37 Daxuechengzhong Road, Chongqing 401331, China)

Abstract

The urban heat island (UHI) becomes more and more serious with the acceleration of urbanization. Many researchers have shown interest in studying the UHI by using remote sensing data, but these studies rarely examine the mountainous cities. Studies on UHI in mountainous cities often used empirical parameters to estimate the land surface temperature (LST), and lacked satellite-ground synchronous experiments to test the accuracy. This paper revised the parameters in the mono-window algorithm used to retrieve the LST according to the characteristics of mountainous cities. This study examined the spatial and temporal patterns of the UHI intensity in Chongqing, a typical mountainous city, and its relationship with land cover from 2007 to 2016 based on the Landsat 5 TM and Landsat 8 TIRS data and the improved method. The accuracy of the LST derivation increased by about 1 °C compared to the traditional method. The high LST areas increased and extended from the downtown to suburban area each year, but the rate of change decreased. The UHI is dramatically impacted by the rivers. There is a good relationship between the urban sprawl and the UHI. The LST was reduced by about 1 °C within a 300 m distance from large urban fringe green spaces. The urban landscape parks had a strong effect relieving the UHI at a 100 m distance. The LST was reduced by about 0.5 °C. This study greatly improves the accuracy of LST derivation, and provides reliable parameters for the UHI researched in mountainous cities.

Suggested Citation

  • Chunxia Liu & Yuechen Li, 2018. "Spatio-Temporal Features of Urban Heat Island and Its Relationship with Land Use/Cover in Mountainous City: A Case Study in Chongqing," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1943-:d:151701
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    References listed on IDEAS

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    1. Guang Chen & Lihua Zhao & Akashi Mochida, 2016. "Urban Heat Island Simulations in Guangzhou, China, Using the Coupled WRF/UCM Model with a Land Use Map Extracted from Remote Sensing Data," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
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    Cited by:

    1. Chang Luo & Xiangyi Li, 2021. "Assessment of Ecosystem Service Supply, Demand, and Balance of Urban Green Spaces in a Typical Mountainous City: A Case Study on Chongqing, China," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    2. Dechao Chen & Xinliang Xu & Zongyao Sun & Luo Liu & Zhi Qiao & Tai Huang, 2019. "Assessment of Urban Heat Risk in Mountain Environments: A Case Study of Chongqing Metropolitan Area, China," Sustainability, MDPI, vol. 12(1), pages 1-15, December.
    3. Yiming Wang & Pengcheng Xiang, 2018. "Urban Sprawl Sustainability of Mountainous Cities in the Context of Climate Change Adaptability Using a Coupled Coordination Model: A Case Study of Chongqing, China," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    4. Peng Ren & Xinxin Zhang & Haoyan Liang & Qinglin Meng, 2019. "Assessing the Impact of Land Cover Changes on Surface Urban Heat Islands with High-Spatial-Resolution Imagery on a Local Scale: Workflow and Case Study," Sustainability, MDPI, vol. 11(19), pages 1-24, September.

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