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<p>Urban Green Space (UGS) plays a crucial role in regulating microclimates and enhancing public health in urban areas. However, rapid population increase, unplanned urbanization, and industrialization in Asansol have degraded UGS, worsening thermal stress. Thus, investigating how UGS composition and configuration affect thermal patterns is crucial yet unexplored. The present study aims to examine the relationship between UGS composition and configuration and land surface temperature (LST) in the Asansol urban area during 2001–2021. The novelty of this study lies in its integrated analysis of UGS in an industrial city using multiple landscape metrics to reveal how fragmentation, connectivity, and patch geometry regulate urban heat. The study used Random Forest to identify UGS using LULC and Mono-Window to obtain LST. Landscape metrics measured green space composition and configuration, and Pearson correlation examined their relationships with LST. Findings indicated a 10.63% reduction in green spaces due to builtup and industrial expansion, with lowest Green Space Ratios found in wards 25, 83, and 87. Over two decades, mean LST decreased 2.73&#xa0;°C, while high-LST zones rose in extent and intensity. Key landscape metrics such as PRD, LPI, ENN_MN, PD, ED, SPLIT, and AI rose steadily, while CA, NP, and LSI remained unchanged. Correlation analysis represented significant relationships between LST and landscape metrics, with NP and LSI showing high positive correlations (r values up to 0.88) over the periods. The study’s findings can help urban planners and policymakers to create sustainable green infrastructure and understand the dynamics of urban green space to manage urban microclimates.</p>

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Exploring the Role of Green Spaces in Urban Thermal Dynamics: Insights for Sustainable Urban Planning in Asansol Urban Area, India

  • 期刊论文

  • 发表日期：

    2026年2月5日

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  • Sharmistha Mondal,
  • Kapil Kumar Gavsker,
  • Bhaskar Mandal

摘要

Urban Green Space (UGS) plays a crucial role in regulating microclimates and enhancing public health in urban areas. However, rapid population increase, unplanned urbanization, and industrialization in Asansol have degraded UGS, worsening thermal stress. Thus, investigating how UGS composition and configuration affect thermal patterns is crucial yet unexplored. The present study aims to examine the relationship between UGS composition and configuration and land surface temperature (LST) in the Asansol urban area during 2001–2021. The novelty of this study lies in its integrated analysis of UGS in an industrial city using multiple landscape metrics to reveal how fragmentation, connectivity, and patch geometry regulate urban heat. The study used Random Forest to identify UGS using LULC and Mono-Window to obtain LST. Landscape metrics measured green space composition and configuration, and Pearson correlation examined their relationships with LST. Findings indicated a 10.63% reduction in green spaces due to builtup and industrial expansion, with lowest Green Space Ratios found in wards 25, 83, and 87. Over two decades, mean LST decreased 2.73 °C, while high-LST zones rose in extent and intensity. Key landscape metrics such as PRD, LPI, ENN_MN, PD, ED, SPLIT, and AI rose steadily, while CA, NP, and LSI remained unchanged. Correlation analysis represented significant relationships between LST and landscape metrics, with NP and LSI showing high positive correlations (r values up to 0.88) over the periods. The study’s findings can help urban planners and policymakers to create sustainable green infrastructure and understand the dynamics of urban green space to manage urban microclimates.