Scholarlink

<p>Urban Heat Islands (UHIs) pose a significant challenge to densely populated cities of India, intensifying heat stress and impacting public health, energy consumption, and urban sustainability. This study aims to identify Urban Heat Stress Risk in Mumbai (India) through the heat stress event of April-May 2024 using satellite data and by assessing thermal stress risk through a systematic approach combining urban weather modelling and in-situ observations along with vulnerability and exposure of the residents. Satellite-derived surface temperature data is analyzed to detect spatial patterns of UHI hotspots across the region. To deepen the understanding of thermal dynamics, the Weather Research and Forecasting Model with Urban Canopy Model (WRF-UCM) is employed, utilizing Local Climate Zone (LCZ) global data to simulate the Universal Thermal Climate Index (UTCI). A nested domain structure with spatial resolutions of 3*3 km, 1*1 km and 333*333 m are used to capture regional and localized variations of urban weather parameters. Validation of the WRF-UCM simulated meteorological variables is carried out using data from 36 Automatic Weather Stations across Mumbai (India). A correlation analysis between satellite-derived UHI hotspots and validated model results provides comprehensive insights into heat stress distribution. The findings highlight critical zones experiencing increased heat stress. The vulnerability and exposure index formulated through the Principal Component Analysis tool helped as additional overlaid layers to assess the risk over the study area, serving as an additional tool for urban planning interventions and policy recommendations related to heat stress risk.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A framework for impact based heat stress warning system for a coastal city in India

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月6日

查看全文
  • Kshitij Kacker,
  • Abhinav Utpal,
  • Shiwam Singh,
  • Piyush Srivastava,
  • Mahua Mukherjee,
  • Srikrishnan Siva Subramanian,
  • R. Rakesh

摘要

Urban Heat Islands (UHIs) pose a significant challenge to densely populated cities of India, intensifying heat stress and impacting public health, energy consumption, and urban sustainability. This study aims to identify Urban Heat Stress Risk in Mumbai (India) through the heat stress event of April-May 2024 using satellite data and by assessing thermal stress risk through a systematic approach combining urban weather modelling and in-situ observations along with vulnerability and exposure of the residents. Satellite-derived surface temperature data is analyzed to detect spatial patterns of UHI hotspots across the region. To deepen the understanding of thermal dynamics, the Weather Research and Forecasting Model with Urban Canopy Model (WRF-UCM) is employed, utilizing Local Climate Zone (LCZ) global data to simulate the Universal Thermal Climate Index (UTCI). A nested domain structure with spatial resolutions of 3*3 km, 1*1 km and 333*333 m are used to capture regional and localized variations of urban weather parameters. Validation of the WRF-UCM simulated meteorological variables is carried out using data from 36 Automatic Weather Stations across Mumbai (India). A correlation analysis between satellite-derived UHI hotspots and validated model results provides comprehensive insights into heat stress distribution. The findings highlight critical zones experiencing increased heat stress. The vulnerability and exposure index formulated through the Principal Component Analysis tool helped as additional overlaid layers to assess the risk over the study area, serving as an additional tool for urban planning interventions and policy recommendations related to heat stress risk.