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

• 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 contribution of UGSM indicators to LST, O 3 and PM 2.5 varied at different scales. On the whole, UGSM effectively mitigate LST. Seasonal analysis reveals that UGSs most significantly regulate LST in summer. UGSM indicators also exhibit seasonal variability in their effects on O 3 and PM 2.5 . UGSM optimization strategies targeting to heat-pollution were proposed. This study provides recommendations for improving UGS planning and mitigating the heat-pollution problem in the Greater Bay Area.

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Publication Details

Journal
Ecological Indicators
Published
2025-03-26
DOI
https://doi.org/10.1016/j.ecolind.2025.113390
Citations
4
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
3.20
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article

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

Song Hong, Shengbiao Wu, Junye Zhang, Bin Chen
4 citations
Ecological Indicators
Urban Heat Island Mitigation
3.20
article

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

Song Hong, Shengbiao Wu, Junye Zhang, Bin Chen
article en
4 citations

Abstract

• 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 contribution of UGSM indicators to LST, O 3 and PM 2.5 varied at different scales. On the whole, UGSM effectively mitigate LST. Seasonal analysis reveals that UGSs most significantly regulate LST in summer. UGSM indicators also exhibit seasonal variability in their effects on O 3 and PM 2.5 . UGSM optimization strategies targeting to heat-pollution were proposed. This study provides recommendations for improving UGS planning and mitigating the heat-pollution problem in the Greater Bay Area.

Ecological IndicatorsVol. 173
Wuhan University (CN), University of Hong Kong (HK)
Sustainable cities and communities
Openalex Percentile: Top 10%
Urban Heat Island Mitigation
3.20
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