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  • Presentation | H23H: Where Flood Connects Us: Integrating Physical Models, Social Dimensions, and AI Innovations II Oral
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  • H23H-08: Twin Monsoon Floods of 2024–2025 in Eastern Bangladesh: Integrating Forecasting Models, Local Impacts, and Regional Data Gaps
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Author(s):
Mohan Kumar Das, National Oceanographic and Maritime Institute (First Author, Presenting Author)
Md. Awlad Hossain, University of Dhaka
Sheikh Fahim Faysal Sowrav, Bangladesh Maritime University
Dr. Md. Sazzad Hossain, Bangladesh Water Development Board
Samarendra Karmakar, National Oceanographic And Maritime Institute (NOAMI)
Puspendu Biswas Paul, National Oceanographic and Maritime Institute
Jamal Khan, CNRS/LIENSS
Maisha Farzana Methila, University of Dhaka
AKM Saiful Islam, Bangladesh University of Engineering and Technology, Institute of Water and Flood Management
Md. Shameem Hassan Bhuyian, Bangladesh Meteorological Department (BMD), Bangladesh
Fatima Akter, University of Dhaka
Faruque Abdullah, Marquette University
Shipa Rani Singha, University of Dhaka
Md Minarul Hoque, Bangabandhu Sheikh Mujibur Rahman Maritime University
Toru Terao, Kagawa University
Arpita Roy Shawon, University of Dhaka
Sifat Tanzil Ovi, University of Dhaka
Nigomananda Biswas, Bangabandhu Sheikh Mujibur Rahman Maritime University
Khan Mohammad Ibtehal, Bangabandhu Sheikh Mujibur Rahman Maritime University
Sourav Bhowmik, Bangladesh University of Engineering and Technology
Syeda Tasneem Binta Haider, University of Nebraska Lincoln
Md. Rakibul Hasan, National Oceanographic And Maritime Institute (NOAMI)


Eastern Bangladesh experienced two severe floods in August 2024 and July 2025, causing extensive damage and affecting millions. In July 2025, heavy rainfall caused rivers such as the Muhuri and Gomati to exceed safe levels, resulting in significant flooding. This study combines weather models, satellite imagery, and field surveys to analyze the causes and impacts of these floods. Despite forecasting efforts, communities were not fully protected, emphasizing the urgent need to enhance and localize Early Warnings for All (EW4All) to deliver timely and effective alerts to vulnerable populations. The floods disrupted infrastructure, agriculture, and power supplies, demonstrating the necessity for improved communication and community engagement. Strengthening localized warning systems, especially in transboundary river regions, alongside advanced technology and enhanced data sharing, will enable faster responses and better recovery from future floods.



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