Presentation | NH13G: Data Science for Weather and Climate Extremes: Risks, Drivers, and Impacts II Poster
Poster
[ONLINE] NH13G-VR8062: A Multi-Parametric Heat Risk Assessment through Integrated Climate, Demographic, and Land Use Analysis: A Divisional-Scale Case Study from Bangladesh
Author(s): Fariha Islam Mou, Bangladesh University of Engineering and Technology (First Author, Presenting Author)
This study develops a Heat Risk Index (HRI) for Bangladesh by combining long-term temperature, population, and land use data. It identifies which regions face the highest risk from extreme heat. The method can help guide local planning and protect vulnerable communities from growing heat-related threats.
