Spatio-temporal dynamics of urban thermal-pollution interactions in Delhi and its surrounding areas: A remote sensing and GAM modelling approach.

Long-term analysis shows pre-monsoon daytime LST in Delhi varies between 33.88-36.53°C, with nighttime LST between 19.57-21.72°C from 2014 to 2023.

• Why it matters: Understanding these thermal and pollution interactions is crucial for enhancing urban resilience amid rapid city growth and climate change, yet detailed spatio-temporal dynamics remain underexplored.
• What they did: The study used remote sensing data, meteorological records, and pollutant measurements, applying GAM modeling to analyze the relationships and dominant factors influencing LST variability across seasons.
• The result: Findings indicate strong correlations between air temperature and daytime LST, and SO2 levels and nighttime LST, enabling better climate-responsive urban planning and air quality management strategies.