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Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

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  • Yaping Chen

    (Architecture and Art School, Central South University, Changsha 410075, China)

  • Bohong Zheng

    (Architecture and Art School, Central South University, Changsha 410075, China)

  • Yinze Hu

    (Business School, Hunan University, Changsha 410082, China)

Abstract

The local climate zone (LCZ) has become a new tool for urban heat island research. Taking Chenzhou as the research object, eight urban spatial form elements and land cover elements are calculated respectively through ArcGIS, Skyhelios and ENVI software. The calculation results are then rasterized and clustered in ArcGIS to obtain the LCZ map at a resolution of 200 m. Afterwards, the land surface temperature (LST) of different local climate zones in the four seasons from 2017 to 2018 is further analyzed using one-way ANOVA F-test and Student’s t -test. The results suggest that: (1) by adding localized LCZ classes and applying the semi-automatic algorithm on the Arc-GIS platform, the final overall accuracy reaches 69.54%, with a kappa value of 0.67, (2) the compact middle-rise buildings (LCZ-2′) and open low-rise buildings (LCZ-6) heavily contribute to the high LST of the downtown area, while the large low-rise buildings (LCZ-8) cause the high LST regions in the eastern part of the town, (3) obvious land surface temperature differences can be detected in four seasons among different LCZ classes, with high LST in summer and autumn. Built-up LCZ classes generally revealed higher LSTs than land cover LCZs in all seasons. The findings of this study provide better understandings of the relationship between LCZ and LST, as well as important insights for urban planners on urban heat mitigation.

Suggested Citation

  • Yaping Chen & Bohong Zheng & Yinze Hu, 2020. "Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2974-:d:342900
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    References listed on IDEAS

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    1. Gago, E.J. & Roldan, J. & Pacheco-Torres, R. & Ordóñez, J., 2013. "The city and urban heat islands: A review of strategies to mitigate adverse effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 749-758.
    2. Elena Morini & Beatrice Castellani & Andrea Presciutti & Elisabetta Anderini & Mirko Filipponi & Andrea Nicolini & Federico Rossi, 2017. "Experimental Analysis of the Effect of Geometry and Façade Materials on Urban District’s Equivalent Albedo," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
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    Cited by:

    1. Fadel Muhammad & Changkun Xie & Julian Vogel & Afshin Afshari, 2022. "Inference of Local Climate Zones from GIS Data, and Comparison to WUDAPT Classification and Custom-Fit Clusters," Land, MDPI, vol. 11(5), pages 1-19, May.
    2. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    3. Jakub Chromčák & Daša Bačová & Pavol Pecho & Anna Seidlová, 2021. "The Possibilities of Orthophotos Application for Calculation of Ecological Stability Coefficient Purposes," Sustainability, MDPI, vol. 13(6), pages 1-18, March.

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