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Urban Heat Island Simulations in Guangzhou, China, Using the Coupled WRF/UCM Model with a Land Use Map Extracted from Remote Sensing Data

Author

Listed:
  • Guang Chen

    (Building Environment and Energy Laboratory (BEEL), State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China)

  • Lihua Zhao

    (Building Environment and Energy Laboratory (BEEL), State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China)

  • Akashi Mochida

    (Department of Architecture and Building Science, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan)

Abstract

The Weather Research and Forecasting (WRF) model coupled with an Urban Canopy Model (UCM) was used for studying urban environmental issues. Because land use data employed in the WRF model do not agree with the current situation around Guangzhou, China, the performance of WRF/UCM with new land-use data extracted from Remote Sensing (RS) data was evaluated in early August 2012. Results from simulations reveal that experiments with the extracted data are capable of reasonable reproductions of the majority of the observed temporal characteristics of the 2-m temperature, and can capture the characteristics of Urban Heat Island (UHI). The “UCM_12” simulation, which employed the extracted land-use data with the WRF/UCM model, provided the best reproduction of the 2-m temperature data evolution and the smallest minimum absolute average error when compared with the other two experiments without coupled UCM. The contributions of various factors to the UHI effect were analyzed by comparing the energy equilibrium processes of “UCM_12” in urban and suburban areas. Analysis revealed that energy equilibrium processes with new land use data can explain the diurnal character of the UHI intensity variation. Furthermore, land use data extracted from RS can be used to simulate the UHI.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:628-:d:73365
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    Citations

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    Cited by:

    1. Chunxia Liu & Yuechen Li, 2018. "Spatio-Temporal Features of Urban Heat Island and Its Relationship with Land Use/Cover in Mountainous City: A Case Study in Chongqing," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    2. 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.
    3. Jiayang Li & Xinqi Zheng & Chunxiao Zhang & Youmin Chen, 2018. "Impact of Land-Use and Land-Cover Change on Meteorology in the Beijing–Tianjin–Hebei Region from 1990 to 2010," Sustainability, MDPI, vol. 10(1), pages 1-22, January.

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