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Understanding the Role of Optimized Land Use/Land Cover Components in Mitigating Summertime Intra-Surface Urban Heat Island Effect: A Study on Downtown Shanghai, China

Author

Listed:
  • Yan-jun Guo

    (Laboratory for Applied Earth Observation and Spatial Analysis (LAEOSA), Department of Environmental Science and Engineering, Jiangwan campus, Fudan University, Shanghai 200438, China)

  • Jie-jie Han

    (Laboratory for Applied Earth Observation and Spatial Analysis (LAEOSA), Department of Environmental Science and Engineering, Jiangwan campus, Fudan University, Shanghai 200438, China)

  • Xi Zhao

    (Laboratory for Applied Earth Observation and Spatial Analysis (LAEOSA), Department of Environmental Science and Engineering, Jiangwan campus, Fudan University, Shanghai 200438, China)

  • Xiao-yan Dai

    (Laboratory for Applied Earth Observation and Spatial Analysis (LAEOSA), Department of Environmental Science and Engineering, Jiangwan campus, Fudan University, Shanghai 200438, China)

  • Hao Zhang

    (Laboratory for Applied Earth Observation and Spatial Analysis (LAEOSA), Department of Environmental Science and Engineering, Jiangwan campus, Fudan University, Shanghai 200438, China)

Abstract

In this study, 167 land parcels of downtown Shanghai, China, were used to investigate the relationship between parcel-level land use/land cover (LULC) components and associated summertime intra-surface urban heat island (SUHI) effect, and further analyze the potential of mitigating summertime intra-SUHI effect through the optimized LULC components, by integrating a thermal sharpening method combining the Landsat-8 thermal band 10 data and high-resolution Quickbird image, statistical analysis, and nonlinear programming with constraints. The results show the remarkable variations in intra-surface urban heat island (SUHI) effect, which was measured with the mean parcel-level blackbody sensible heat flux in kW per ha (Mean_pc_BBF). Through measuring the relative importance of each specific predictor in terms of their contributions to changing Mean_pc_BBF, the influence of parcel-level LULC components on excess surface flux of heat energy to the atmosphere was estimated using the partial least square regression (PLSR) model. Analysis of the present and optimized parcel-level LULC components and their contribution to the associated Mean_pc_BBF were comparable between land parcels with varying sizes. Furthermore, focusing on the gap between the present and ideally optimized area proportions of parcel-level LULC components towards minimizing the Mean_pc_BBF, the uncertainties arising from the datasets and methods, as well as the implications for sustainable land development and mitigating the UHI effect were discussed.

Suggested Citation

  • Yan-jun Guo & Jie-jie Han & Xi Zhao & Xiao-yan Dai & Hao Zhang, 2020. "Understanding the Role of Optimized Land Use/Land Cover Components in Mitigating Summertime Intra-Surface Urban Heat Island Effect: A Study on Downtown Shanghai, China," Energies, MDPI, vol. 13(7), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1678-:d:340799
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    References listed on IDEAS

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    1. DMSLB Dissanayake & Takehiro Morimoto & Yuji Murayama & Manjula Ranagalage, 2019. "Impact of Landscape Structure on the Variation of Land Surface Temperature in Sub-Saharan Region: A Case Study of Addis Ababa using Landsat Data (1986–2016)," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    2. Yuan-Bin Cai & Hui-Min Li & Xin-Yue Ye & Hao Zhang, 2016. "Analyzing Three-Decadal Patterns of Land Use/Land Cover Change and Regional Ecosystem Services at the Landscape Level: Case Study of Two Coastal Metropolitan Regions, Eastern China," Sustainability, MDPI, vol. 8(8), pages 1-21, August.
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    Cited by:

    1. Jiejie Han & Xi Zhao & Hao Zhang & Yu Liu, 2021. "Analyzing the Spatial Heterogeneity of the Built Environment and Its Impact on the Urban Thermal Environment—Case Study of Downtown Shanghai," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    2. Jongyeon Lim & Ryozo Ooka, 2021. "A CFD-Based Optimization of Building Configuration for Urban Ventilation Potential," Energies, MDPI, vol. 14(5), pages 1-16, March.
    3. Vimala Kiranmai Ayyala Somayajula & Deepika Ghai & Sandeep Kumar & Suman Lata Tripathi & Chaman Verma & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022. "Classification and Validation of Spatio-Temporal Changes in Land Use/Land Cover and Land Surface Temperature of Multitemporal Images," Sustainability, MDPI, vol. 14(23), pages 1-35, November.

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