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IWM

Institute of Water Modelling
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4 Projects, page 1 of 1
  • Funder: French National Research Agency (ANR) Project Code: ANR-13-JCLI-0002
    Funder Contribution: 476,000 EUR

    INTELLECTUAL MERITS. Bangladesh, a low-lying, one of the most densely populated countries in the world located at the Bay of Bengal, is prone to transboundary monsoonal flooding, potentially aggravated by more frequent and intensified cyclones resulting from anthropogenic climate change. Sea-level rise, along with tectonic, sediment load and groundwater extraction induced land uplift/subsidence, have significantly exacerbate these risks and Bangladesh’s coastal vulnerability. We propose to build a robust Belmont Challenge identified Earth System Analysis & Prediction System (ESAPS) for Bangladesh, to adapt/mitigate the detrimental hazards including sea-level rise. We will establish an advanced observation system based on contemporary space geodetic sensors to quantify (1) causes of sea-level rise and land motion and their robust vertical datum link, and (2) human interactions that governs coastal vulnerability in Bangladesh. This knowledge will be used for the integrated development of a natural and social science framework employing robust predictive modeling towards the adaption of sea-level rise and other hazards in coastal Bangladesh. Our international, cross-disciplinary science team, consists of natural and social scientists including local stakeholders, will leverage upon ongoing environmental and social projects in the region. Our approach includes observation/fieldwork based syntheses to discern sea-level rise and land motion and their projections at century timescales, socioeconomic analyses including vulnerable population projection, micro adaptation, land use change, and community adaptive capacity, and integrated assessment including scenario analysis, dissemination, and decision-support service in coastal Bangladesh. BROADER IMPACTS. The developed BanD-AID ESAPS prototype system is transportable to other regions of the world. Our work will both leverage and benefit other existing projects (e.g., Fulbright, NASA, NSF, ONR, USAID). The project will train students, technicians and social workers who will be the next-generation local stakeholders.

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  • Funder: European Commission Project Code: 244047
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  • Funder: European Commission Project Code: 603608
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  • Funder: European Commission Project Code: 282746
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