EGU23-4426
https://doi.org/10.5194/egusphere-egu23-4426
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Process-Based Hydrologic and Hydraulic Modelling for Floods in Brahmaputra

Walter Samuel1, Venugopal Vuruputur1,2, and Ramananda Chakrabarti1,3
Walter Samuel et al.
  • 1Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru, India
  • 2Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru, India
  • 3Centre for Earth Sciences, Indian Institute of Science, Bengaluru, India

Floods are known to cause extensive damage to property and life, which makes it necessary to determine the plausible magnitude and frequency of these hydrologic extremes. In this study, we use a combined hydrologic and hydraulic modelling approach to study the flood characteristics of Brahmaputra - a large transboundary river (580,000 km2) associated with complex topography, geomorphology, and a dense network of tributaries. A semi-distributed process-based model HEC-HMS, (forced with different precipitation datasets, -(APHRODITE, GLDAS, IMD and TRMM) is used to simulate an ensemble of its historical streamflow at a daily timescale. These calibrated and validated flows are used in conjunction with a network of level gauge stations (within Arunachal Pradesh & Assam in India) to quantify and improve flood mapping with the help of a two-dimensional hydraulic model HEC-RAS. The historical flood extents (2015 to 2022) obtained using the hydrologic & hydraulic modelling approach is further validated with the help of satellite earth observation data products. Such a multi-pronged, ensemble-based modelling strategy has the potential to create a more informed flood risk management system, in terms of providing better likelihood and uncertainty estimates, in the lower reaches of Brahmaputra often prone to prolonged inundation.

How to cite: Samuel, W., Vuruputur, V., and Chakrabarti, R.: Process-Based Hydrologic and Hydraulic Modelling for Floods in Brahmaputra, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4426, https://doi.org/10.5194/egusphere-egu23-4426, 2023.