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Analysis of Spatiotemporal Urban Temperature Characteristics by Urban Spatial Patterns in Changwon City, South Korea

Author

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  • Bonggeun Song

    (Institute of Industrial Technology, Changwon National University, 20 Changwondaehak-ro Uichang-gu Changwon-si, Gyeongsangnam-do 641-773, Korea)

  • Kyunghun Park

    (School of Civil, Environmental and Chemical Engineering, Changwon National University, 20 Changwondaehak-ro Uichang-gu Changwon-si, Gyeongsangnam-do 641-773, Korea)

Abstract

Spatiotemporal air and land surface temperature (LST) characteristics were analyzed based on urban spatial patterns for Changwon City, South Korea. Twelve ASTER (Advanced spaceborne thermal emission and reflection radiometer) Thermal infrared radiance (TIR) images during the daytime and nighttime from June to September, 2012–2014 were used for LST analysis. Air temperature was measured at five meteorological stations. The landcover type, elevation, and location of the meteorological measurement stations were the spatial patterns. The differences among the mean LST for each landcover material were the maximum of 8 °C and 1 °C during the daytime and nighttime, respectively. The LST decreased with increasing built-up area ratio, most prominently in July, but less so with increasing forest area for the same area ratios. The changes of urban temperature according to the spatial pattern were found to be different in each period, and there were some differences from previous studies. This is because the thermal characteristics differ depending on the geographical location, climatic conditions, and building environment of the cities. Therefore, to mitigate the urban heat island continuously, it should be applied to urban planning considering the relationship between spatial patterns and urban temperature, and the urban environment should be considered rather than directly using the results of previous studies.

Suggested Citation

  • Bonggeun Song & Kyunghun Park, 2019. "Analysis of Spatiotemporal Urban Temperature Characteristics by Urban Spatial Patterns in Changwon City, South Korea," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3777-:d:247116
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    References listed on IDEAS

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    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. 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.
    3. Mateusz Ciski & Krzysztof Rząsa & Marek Ogryzek, 2019. "Use of GIS Tools in Sustainable Heritage Management—The Importance of Data Generalization in Spatial Modeling," Sustainability, MDPI, vol. 11(20), pages 1-21, October.

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