Abstract
In the present years, the north-eastern region of Bangladesh experiences flash flooding during the per-harvesting period of the Boro rice crop frequently due to the adverse consequences of global climate change. In this study, our overall goal was to identify the most vulnerable flash-flood affected areas considering vegetation penology indices by using GIS and remote sensing and to develop some possible agricultural insurance model based on an area yield and community participation for exploring the pathways of further research. We evaluated the freely available Landsat-8 OLI images in the form of NDWI at 30 m spatial resolution freely available from USGS websites over the Haor area between January 2016 and June 2017 using ArcGIS 10.3® software. Our results showed that in 2017 flash flood adversely affects the vegetative reproduction of Boro rice in the study areas than the year before flash flood in 2016. From inundation analysis, it was found that the majority of the study areas are in moderately damaged category whereas only Tahirpur sub-district had a high damaged extent. Analysed climate data from two stations also indicated that fluctuated monthly maximum and minimum temperature and changing precipitation level has a strong relationship for the occurrence of a flash flood event. IPCC climate projected data both temperature and precipitation also indicated a negative future is waiting in the upcoming days. Therefore, the proposed insurance premium model would be an effective and fruitful option to combat this adverse situation for the most vulnerable people in haor areas.
Presenters
Md Monirul IslamDoctoral Student, Appropriate Technology and Sciences for Sustainable Development, University of Tsukuba, Japan Tofael Ahamed
Associate Professor, University of Tsukuba
Details
Presentation Type
Theme
Assessing Impacts in Divergent Ecosystems
KEYWORDS
Climate Change, Coping Mechanisms
Digital Media
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