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Combined Effects of the Surface Urban Heat Island with Landscape Composition and Configuration Based on Remote Sensing: A Case Study of Shanghai, China

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  • Hongyu Du

    (Institute of Ecology and Sustainable Development, Shanghai Academy of Social Sciences, N0. 622, Middle Huaihai Road, Huangpu District, Shanghai 200020, China)

  • Jinquan Ai

    (Faculty of Geomatics, East China University of Technology, Nanchang 330013, China)

  • Yongli Cai

    (Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
    Department of Environmental Science, East China Normal University, No. 500, Dongchuan Road, Minhang District, Shanghai 200241, China)

  • Hong Jiang

    (Institute of Ecology Engineering, Guizhou University of Engineering Science, Bijie 51700, China)

  • Pudong Liu

    (School of Surveying and Geoinformatics, Shandong Jianzhu University, Jinan 250101, China
    The Department of Automation, Qingdao University, Qingdao 266071, China)

Abstract

Rapid urbanization leads to changes in surface coverage and landscape patterns. This results in urban heat island (UHI) effects and a series of negative ecological consequences. Considering this concern and taking Shanghai as an example, this paper concentrates on the effects of surface coverage and landscape patterns on urban land surface temperature (LST). The research is based on quantitative retrieval of remote sensing data with consideration of methods in multiple disciplines, including landscape ecology, geographic information systems, and statistical analysis. It concludes that, over time, the thermal environment of Shanghai is becoming critical. The average LST ranking of different surface coverage is as follows: Construction land (CL) > bare land (BL) > green land (GL) > agricultural land (AL) > water body (WB). LST varies significantly with the type of surface coverage. CL contributes the most to the UHI, while WB and GL have obvious mitigation effects on the UHI. The large area, low degree of landscape fragmentation, and complex outlines lead to low LST rankings for GL, WB, and AL and a high LST ranking for CL. The conclusions indicate that CL should be broken down by GL and WB into discrete pieces to effectively mitigate UHI effects. The research reveals UHI features and changes in Shanghai over the years and provides practical advice that can be used by urban planning authorities to mitigate UHI.

Suggested Citation

  • Hongyu Du & Jinquan Ai & Yongli Cai & Hong Jiang & Pudong Liu, 2019. "Combined Effects of the Surface Urban Heat Island with Landscape Composition and Configuration Based on Remote Sensing: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 11(10), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2890-:d:233072
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    References listed on IDEAS

    as
    1. Haiting Wang & Yuanzhi Zhang & Jin Yeu Tsou & Yu Li, 2017. "Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover," Sustainability, MDPI, vol. 9(9), pages 1-22, August.
    2. Sun, Ranhao & Chen, Liding, 2017. "Effects of green space dynamics on urban heat islands: Mitigation and diversification," Ecosystem Services, Elsevier, vol. 23(C), pages 38-46.
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    Cited by:

    1. Vipin Kumar Oad & Xiaohua Dong & Muhammad Arfan & Vicky Kumar & Muhammad Salman Mohsin & Syed Saad & Haishen Lü & Muhammad Imran Azam & Muhammad Tayyab, 2020. "Identification of Shift in Sowing and Harvesting Dates of Rice Crop ( L. Oryza sativa ) through Remote Sensing Techniques: A Case Study of Larkana District," Sustainability, MDPI, vol. 12(9), pages 1-15, April.
    2. Hongyu Du & Fengqi Zhou & Chunlan Li & Wenbo Cai & Hong Jiang & Yongli Cai, 2020. "Analysis of the Impact of Land Use on Spatiotemporal Patterns of Surface Urban Heat Island in Rapid Urbanization, a Case Study of Shanghai, China," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    3. Abdullah Addas, 2023. "Machine Learning Techniques to Map the Impact of Urban Heat Island: Investigating the City of Jeddah," Land, MDPI, vol. 12(6), pages 1-14, May.
    4. Guoming Du & Wenqi Liu & Tao Pan & Haoxuan Yang & Qi Wang, 2019. "Cooling Effect of Paddy on Land Surface Temperature in Cold China Based on MODIS Data: A Case Study in Northern Sanjiang Plain," Sustainability, MDPI, vol. 11(20), pages 1-14, October.
    5. Sushobhan Sen & Jeffery Roesler & Benjamin Ruddell & Ariane Middel, 2019. "Cool Pavement Strategies for Urban Heat Island Mitigation in Suburban Phoenix, Arizona," Sustainability, MDPI, vol. 11(16), pages 1-21, August.

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