Ongoing Research

Sea level rise impact modeling and sustainable adaptation strategies for coastal area in Bangladesh


Roy, B.


Fundação para a Ciência e Tecnologia, Portugal

Research Start Date:

January 2017

Expected Completion Date:

July 2018

Sea level rise has been a major problem for the coastal area people of Bangladesh since the time being. But, the situation is becoming more acute and problematic day by day due to the increased salinity intrusion and land erosion both in agricultural land and water bodies which has been decreasing the crop production and aquatic culture immensely. However, not just natural causes but also human induced causes have also a role to turn into such situation. People of the coastal areas in Bangladesh have been trying hard and soul to adapt with this increasingly adverse circumstances.
Therefore, in such a situation focus should be directed to find out solutions which are not only economically feasible but also sustainable both in medium and long term – especially for agriculture – to adapt with the future adverse sea level rise extreme condition. This study actually will consider all the above mentioned important issues by addressing the answer to the following questions (1) what would be the physiographic setting of Bangladesh with respect to future sea level rise until 21st century (future projection)? (2) which adaptation strategies actually performed better with respect to the different impacts directly or indirectly related to sea level rise and will they remain a better option for future (evaluation and monitoring)? (3) what should be the future adaptation mechanism against the future sea level rise for agricultural activity (adaptation pathway)?

This is an interdisciplinary research work which combines both environmental and social science. There will be equal involvement of different stakeholders including active involvement of local people and institutional bodies by following participatory learning and action research method. It is expected that this study will empower the local community in decision making process, will take into account local knowledge and bring a positive shift in our policy mechanism.

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