Appraising the historical and projected spatiotemporal changes in the heat index in Bangladesh

Mahzabin Binte Rahman, Roquia Salam, Abu Reza Md Towfiqul Islam, Anjum Tasnuva, Ubydul Haque, Shamsuddin Shahid, Zhenghua Hu, Javed Mallick

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Climate change-derived extreme heat phenomena are one of the major concerns across the globe, including Bangladesh. The appraisal of historical spatiotemporal changes and possible future changes in heat index (HI) is essential for developing heat stress mitigation strategies. However, the climate-health nexus studies in Bangladesh are very limited. This study was intended to appraise the historical and projected changes in HI in Bangladesh. The HI was computed from daily dry bulb temperature and relative humidity. The modified Mann-Kendal (MMK) test and linear regression were used to detect trends in HI for the observed period (1985–2015). The future change in HI was projected for the mid-century (2041–2070) for three Representative Concentration Pathway (RCP) scenarios, RCP 2.6, 4.5, and 8.5 using the Canadian Earth System Model Second Generation (CanESM2). The results revealed a monotonic rise in the HI and extreme caution conditions, especially in the humid summer season for most parts of Bangladesh for the observed period (1985–2015). Future projections revealed a continuous rise in HI in the forthcoming period (2041–2070). A higher and remarkable increase in the HI was projected in the northern, northeastern, and south-central regions. Among the three scenarios, the RCP 8.5 showed a higher projection of HI both in hot and humid summer compared to the other scenarios. Therefore, Bangladesh should take region-specific adaptation strategies to mitigate the impacts of HI.

Original languageEnglish
Pages (from-to)125-138
Number of pages14
JournalTheoretical and Applied Climatology
Issue number1-2
StatePublished - Oct 2021


  • CanESM2
  • Heat index
  • Heat stress
  • Spatiotemporal change
  • Statistical downscaling


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