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Quantitative Analysis of Spatial Heterogeneity and Driving Forces of the Thermal Environment in Urban Built-up Areas: A Case Study in Xi’an, China

Author

Listed:
  • Xuan Zhao

    (College of Landscape Architecture and Art, Northwest A & F University, Yangling 712100, China)

  • Jianjun Liu

    (College of Landscape Architecture and Art, Northwest A & F University, Yangling 712100, China)

  • Yuankun Bu

    (College of Forestry, Northwest A & F University, Yangling 712100, China)

Abstract

Clarifying the spatial heterogeneity of urban heat island (UHI) effect is of great significance for promoting sustainable urban development. A GeoDetector was used to detect the influential natural and society factors. Natural factors (normalized difference vegetation index ( NDVI ), soil-regulating vegetation index ( SAVI ), normalized building index ( NDBI ), and modified normalized difference water index ( MNDWI )) as well as society factors (road density ( RDD ), and population density ( POPD )) were selected as driving factors to be tested for their explanatory power for land surface temperature ( LST ). Results indicated that the Moran’s I index value for the LST of the built-up area is 0.778. The top three factors influencing the LST were NDBI , NDVI , and SAVI , the explanatory power of which was 0.7593, 0.6356, and 0.6356, respectively. The interactive explanatory power for NDBI and MNDWI was 0.8108 and for NDBI and RDD was 0.8002, these two interactions are double enhanced interaction relationships. The results of this study play a guiding role in the development of urban thermal environment regulation schemes and ecological environment planning.

Suggested Citation

  • Xuan Zhao & Jianjun Liu & Yuankun Bu, 2021. "Quantitative Analysis of Spatial Heterogeneity and Driving Forces of the Thermal Environment in Urban Built-up Areas: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1870-:d:496213
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    References listed on IDEAS

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    1. Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    2. Zhijie Wu & Yixin Zhang, 2018. "Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning," Sustainability, MDPI, vol. 10(7), pages 1-11, June.
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    Cited by:

    1. Yang Lu & Jiansi Yang & Song Ma, 2021. "Dynamic Changes of Local Climate Zones in the Guangdong–Hong Kong–Macao Greater Bay Area and Their Spatio-Temporal Impacts on the Surface Urban Heat Island Effect between 2005 and 2015," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    2. Wen Qu & Hao Lian & Yao Wang & Yan Ma, 2023. "Spatiotemporal Evolution of the Coupling Coordination Relationship of “Population–Environment” Development in the Xi’an Metropolitan Area," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    3. Shuxin Fan & Mengyuan Zhang & Yilun Li & Kun Li & Li Dong, 2021. "Impacts of Composition and Canopy Characteristics of Plant Communities on Microclimate and Airborne Particles in Beijing, China," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    4. Xueling Zhang & Alimujiang Kasimu & Hongwu Liang & Bohao Wei & Yimuranzi Aizizi, 2022. "Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    5. Yuanzheng Li & Zezhi Zhao & Yashu Xin & Ao Xu & Shuyan Xie & Yi Yan & Lan Wang, 2022. "How Are Land-Use/Land-Cover Indices and Daytime and Nighttime Land Surface Temperatures Related in Eleven Urban Centres in Different Global Climatic Zones?," Land, MDPI, vol. 11(8), pages 1-22, August.

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