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A Method for Selecting the Typical Days with Full Urban Heat Island Development in Hot and Humid Area, Case Study in Guangzhou, China

Author

Listed:
  • Guang Chen

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China
    State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China)

  • Minjie He

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Nan Li

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Hao He

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Yunnan Cai

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Senlin Zheng

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China
    Department of City and Regional Planning, The Ohio State University, Columbus, OH 43210, USA)

Abstract

The urban heat island (UHI) poses a significant threat to urban ecosystems, human health, and urban energy systems. Hence, days with a relatively higher UHI intensity should be selected for UHI observation and analysis. However, there is still a lack in the method and criteria for selecting the typical meteorological days for UHI survey and simulation. In this study, field measurements were conducted based on Local Climate Zone (LCZ) schemes over a one-year period to assess the UHI behavior in Guangzhou, China. The relationship between the diurnal temperature range (DTR) and UHI intensity was evaluated and analyzed quantitatively under different meteorological conditions classified by precipitation. The average daily maximum UHI intensity ( UHII max ) during precipitation days was approximately 1.8 °C lower than that during non-precipitation days, confirming that precipitation has a negative effect on UHI development. The monthly DTR distribution was similar to the daily UHII max distribution, which was higher in autumn and winter, but lower in spring and summer. DTR has a significant linear correlation with the daily UHII max , with a Pearson’s correlation coefficient of >0.7 and statistical significance of <0.001. Based on a quantitative evaluation of our results, we determined that 10 °C could be regarded as the appropriate DTR threshold to identify the meteorological conditions conducive to UHI development; the meteorological conditions exhibited a high daily UHII max in Guangzhou. This study provides a simple method to select typical meteorological days for UHI measurement and simulation, and a method to early-warning of intense UHI events based on weather forecasts.

Suggested Citation

  • Guang Chen & Minjie He & Nan Li & Hao He & Yunnan Cai & Senlin Zheng, 2020. "A Method for Selecting the Typical Days with Full Urban Heat Island Development in Hot and Humid Area, Case Study in Guangzhou, China," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:320-:d:473185
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    References listed on IDEAS

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    1. Guang Chen & Lihua Zhao & Akashi Mochida, 2016. "Urban Heat Island Simulations in Guangzhou, China, Using the Coupled WRF/UCM Model with a Land Use Map Extracted from Remote Sensing Data," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
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