An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS

Authors: Md. Enayet Chowdhury, AKM Saiful Islam, Matthijs Lemans, Mark Hegnauer, Ashfaqur Rahaman Sajib, Nahruma Mehzabeen Pieu, Mohan Kumar Das, Nur Shadia, Akramul Haque, Binata Roy, Maruf Billah, Faruque Abdullah, Wasif Bin Mamoon, Shadman Kaiser, Sujit Kumar Bala, Tarekul Islam, Gopal Chandra Sarker, Sadequr Rahman, Arifuzzaman Bhuyan


The northeast region of Bangladesh is highly vulnerable to flash floods which often damage the only crop of that region, the boro rice. Developing an efficient and real-time flash flood forecasting system for that region is found essential. The traditional model-centric approach requires plenty of time and manpower to effectively model flash floods. This paper discusses an open-source data-centric integrated flash flood modelling approach using a platform named Delft-FEWS. It is based on three inter-dependent models, e.g., meteorological, hydrologic, and hydrodynamic. The model was calibrated and validated with the flash flood data of 2010-12 and 2013-15, respectively. The performance of the model in real-time was assessed in the context of the 2021 flash flood season. In both cases, it performed satisfactorily. The entire system helps the practitioners to work in a flexible environment to generate flash flood forecasting and early warnings.

Publication Details

Published On: 27 December 2022
DOI: 10.1016/j.envsoft.2022.105614
Publication: Environmental Modelling and Software 161(1):105614
Project: Flash Flood Early Warning System (FFEWS)