Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China

Xinyi Qiu, Sung Ho Kil, Hyun Kil Jo, Chan Park, Wonkyong Song, Yun Eui Choi

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

The cooling effects of blue–green spaces on the urban heat island effect are complex and different. The purpose of this study is to simulate how the cooling effect of blue–green space changes with its size and shape. The cooling effects of 53 green patches and 28 water bodies in Changsha were extracted based on Landsat images. A surface fitting model was used to quantitatively reveal the relationship between the cooling effect of blue–green space and its size and shape. The results show that the cooling effects of blue–green spaces were enhanced with the increasing size, and then would become stable after a certain range (threshold). Certain thresholds were identified between the blue and green space areas (2.98 ha and 3.15 ha, respectively) and the cooling distance, and between the blue and green space areas (4.84 ha and 4.92 ha, respectively) and the cooling magnitude. In addition, the green space with an area of 9.08 ha and landscape shape index (LSI) of 2.97 could achieve a better cooling distance (413.46 m); and the blue space with an area of 29.4 ha and LSI of 1.75 could achieve a better cooling magnitude (5.17 °C). These findings provide useful guidelines for urban planning and improving urban livability in other regions with terrain and climate conditions similar to Changsha.

Original languageEnglish
Article number2613
JournalInternational Journal of Environmental Research and Public Health
Volume20
Issue number3
DOIs
StatePublished - Feb 2023

Keywords

  • blue–green space planning
  • remote sensing
  • surface fitting
  • threshold
  • urban thermal environment

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