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Complex mechanisms linking land surface temperature to greenspace spatial patterns: Evidence from four southeastern
Guanhua Guo1, Zhifeng Wu1, Yingbiao Chen1
1School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China; Guangdong Province Engineering Technology Research Center for Geographical Conditions Monitoring and Comprehensive Analysis, Guangzhou University, Guangzhou 510006, China.
The Science of the Total Environment
|April 21, 2019
Summary
Optimizing urban greenspace configuration is more effective than simply increasing its amount for reducing the urban heat island (UHI) effect. Both composition and configuration significantly impact land surface temperature (LST), with configuration showing greater influence.
Area of Science:
- Urban Climatology
- Geographic Information Science
- Environmental Planning
Background:
- Urban heat islands (UHI) significantly impact urban environments and human well-being.
- Land surface temperature (LST) is a key indicator of UHI intensity.
- Greenspace plays a crucial role in mitigating UHI, but its spatial characteristics require further investigation.
Purpose of the Study:
- To comparatively analyze the relative contributions of greenspace spatial composition and configuration to LST across multiple cities.
- To investigate the stability mechanisms linking LST and greenspace patterns under varying conditions.
- To provide data-driven insights for urban heat island adaptation strategies.
Main Methods:
- Utilized Landsat 5/8 imagery for LST estimation and high-resolution imagery for greenspace extraction in four Chinese cities.
- Employed a novel methodology combining stepwise regression and hierarchical partitioning analysis to quantify relationships.
- Assessed seasonal variations (summer and winter) and scale dependencies in the analysis.
Main Results:
- Both greenspace spatial composition and configuration significantly influence LST, with varying magnitudes and significance.
- Combined landscape metrics of greenspace were more critical in determining LST than individual metrics, particularly in summer.
- Optimizing greenspace configuration proved more effective in reducing UHI than increasing greenspace quantity.
Conclusions:
- Greenspace spatial configuration is a critical factor in urban heat island mitigation, often more impactful than mere quantity.
- Effective UHI adaptation strategies should prioritize optimizing greenspace layout alongside increasing green cover.
- Understanding seasonal and scale-dependent factors is crucial for developing robust UHI management plans.
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