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<p>Environmental quality degrades in urban areas due to rapid urbanization, which puts communities at health risk. This paper assessed four sites, Site 1(high-rise), Site 2 (mid-rise), Site 3 (low-rise), and Site 4 (Planned Layout) selected based on the Development Control Regulation (DCR). Site 1 showed the highest mitigation potential (50%), while Site 3 had limited options due to dense buildings and less open space. Land Surface Temperature (LST) was retrieved from Landsat 8 for macroscale analysis, while field measurements were used in Envi-met, a CFD model, to simulate the urban microscale environment. The Discomfort Index (DI) was calculated using standard formula combining air temperature and relative humidity. Results showed that 82% of Site 3 occupants are more vulnerable to heat stress, experiencing discomfort, while Site 1 shows only 9%. Regression analysis revealed a dynamic interaction of DI with urban parameters, where a positive correlation (0.64) with the Sky View Factor at Site 4 was observed, but a strong negative correlation (-0.91) when excluded, likely due to wind-enhanced heat dissipation, despite higher solar radiation exposure, as seen in Site 1. These findings emphasize the need for site-specific mitigation strategies and updated spatial planning regulations to enhance resilience against urban heat stress.</p>

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Analyzing the Hourly Relationship Between Urban Parameters and Discomfort Index in a Sub-urban Morphology of Chennai City

  • 期刊论文

  • 发表日期：

    2025年12月15日

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  • B. Jayanthi,
  • S. Jayalakshmi

摘要

Environmental quality degrades in urban areas due to rapid urbanization, which puts communities at health risk. This paper assessed four sites, Site 1(high-rise), Site 2 (mid-rise), Site 3 (low-rise), and Site 4 (Planned Layout) selected based on the Development Control Regulation (DCR). Site 1 showed the highest mitigation potential (50%), while Site 3 had limited options due to dense buildings and less open space. Land Surface Temperature (LST) was retrieved from Landsat 8 for macroscale analysis, while field measurements were used in Envi-met, a CFD model, to simulate the urban microscale environment. The Discomfort Index (DI) was calculated using standard formula combining air temperature and relative humidity. Results showed that 82% of Site 3 occupants are more vulnerable to heat stress, experiencing discomfort, while Site 1 shows only 9%. Regression analysis revealed a dynamic interaction of DI with urban parameters, where a positive correlation (0.64) with the Sky View Factor at Site 4 was observed, but a strong negative correlation (-0.91) when excluded, likely due to wind-enhanced heat dissipation, despite higher solar radiation exposure, as seen in Site 1. These findings emphasize the need for site-specific mitigation strategies and updated spatial planning regulations to enhance resilience against urban heat stress.