Multiscale synergistic effects of urban green space morphology on heat-pollution: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China

作者：Junye Zhang, Song Hong, Bin Chen, Shengbiao Wu · 发表于：Ecological Indicators · 年份：2025 · DOI：10.1016/j.ecolind.2025.113390 · 被引用次数：7 · 研究领域：Urban Heat Island Mitigation、Land Use and Ecosystem Services、Urban Green Space and Health

• MGWR combined SHAP was used to explore the effects of UGSM on heat-pollution. • UGSM exerted a greater impact on LST than on O 3 or PM 2.5 at all scales. • 5 km provided the best explanatory for relationship between UGSM and heat-pollution. • More highly aggregated UGSs are more effective in mitigating heat-pollution. Urban heat island and air pollution issues caused by ozone (O 3 ) and particulate matter (PM 2.5 ) pose serious threats to the public health. The synergistic impact of urban green space (UGS) on both seasonal heat and air pollution (heat-pollution) from a multiscale perspective remains a scientific challenge. Land surface temperature (LST), O 3 and PM 2.5 were used as research variables. Morphological Spatial Pattern Analysis (MSPA) was applied to quantify urban green space morphology (UGSM), and the PLUS model was employed to explore the future spatial patterns of UGS under three scenarios. A multiscale perspective combined with multiscale Geographically Weighted Regression (MGWR) and SHapley Additive exPlanations (SHAP) was used to reveal the complex impacts of UGSM on heat-pollution. The results showed that from 2000 to 2020, the area and aggregation degree in the study area decreased. High values of LST, O 3 and PM 2.5 concentrations were primarily distributed in main urban expansion zones. The impact of UGSM on LST, O 3 and PM 2.5 exhibited spatial heterogeneity and scale effect, and the degree of impact increased with scale. Moreover, the overall contrib...