19 Feb 2018

19 Feb 2018

Review status: this preprint was under review for the journal NHESS but the revision was not accepted.

Towards impact-based flood forecasting and warning in Bangladesh: a case study at the local level in Sirajganj district

Fabio Sai1,3,4, Lydia Cumiskey2,3, Albrecht Weerts3,5, Biswa Bhattacharya4, and Raihanul Haque Khan6 Fabio Sai et al.
  • 1A.I.Po, Interregional Agency for the Po River, Milan, 20124, Italy
  • 2Flood Hazard Research Centre, Middlesex University, London, NW4 4BT, UK
  • 3Deltares, Boussinesqweg 1, Delft, 2629 HV, The Netherlands
  • 4Hydroinformatics Chair Group, IHE-Delft Institute for Water Education, Delft, 2611 AX, The Netherlands
  • 5Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University and Research, Wageningen, The Netherlands
  • 6RIMES, Pathumthani, 12120, Thailand

Abstract. Impact-based forecasting and warning services aim to bridge the gap between producers and users of warning information by connecting and increasing synergies between the components of effective early warning systems. We tested qualitatively whether a warning message based on colour codes is understandable and useful to trigger risk mitigation actions at the local level in the flood-exposed communities of Rajapur and Ghorjan unions in Sirajganj district, Bangladesh. With a community-based approach for different groups of users (i.e. sectors), flood-impact scenarios were determined from past events and related to colour codes. These were developed into impact-based forecasting and warnings that can connect water levels, through the colour code, to localised guidance information tailored to sectors’ needs on how to respond to the expected flood. This approach was tested through a limited number of focus group discussions and interviews at the community level. Overall, the colour coded impact-based warnings were found to be an easy and understandable way to link water level forecasts to the necessary risk mitigation actions, however, further investigation is needed to validate these findings under real-time conditions. IBFW has huge potential in Bangladesh but its integration requires significant institutional changes, such as an inter-facing agency (long term) or team (short term), adjusted policy frameworks (standing orders on disasters), and new resource allocations for skills development and technological innovation from national to local levels. Overall, this paper aims to offer a first insight into impact-based forecasting and warning services in Bangladesh to trigger further research and project developments.

Fabio Sai et al.

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Fabio Sai et al.

Fabio Sai et al.


Total article views: 1,253 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
756 466 31 1,253 33 40
  • HTML: 756
  • PDF: 466
  • XML: 31
  • Total: 1,253
  • BibTeX: 33
  • EndNote: 40
Views and downloads (calculated since 19 Feb 2018)
Cumulative views and downloads (calculated since 19 Feb 2018)

Viewed (geographical distribution)

Total article views: 1,148 (including HTML, PDF, and XML) Thereof 1,144 with geography defined and 4 with unknown origin.
Country # Views %
  • 1


Latest update: 12 Apr 2021
Short summary
The research tackled the challenge of flood impact-based forecasting and service for Bangladesh by proposing an approach based on colour coded as mean for linking forecasted water levels to possible impacts. This was tested at the local level and, although limited to the case study, the results encouraged us to share our outcomes for triggering interest in such approach and to foster further research aimed to move it forward.