Design Flow and Stage Computations in the Teesta River, Bangladesh, Using Frequency Analysis and MIKE 11 Modeling
- 1 February 2011
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Hydrologic Engineering
- Vol. 16 (2), 176-186
- https://doi.org/10.1061/(asce)he.1943-5584.0000299
Abstract
A case study was conducted in the Teesta subcatchment in Bangladesh for determining design flood flows and corresponding flood stages for different return periods using frequency analysis and MIKE 11 model. Different distribution functions of frequency analysis were tested for their goodness of fit. The observed discharge data at Kaunia on the river Teesta were used for estimation of design flood. The Pearson type-III distribution was found best fitted by the Kolmogorov-Smirnov, D-index, and L-moment diagram ratio tests, and accordingly 25-, 50-, and 100-year return period design floods were computed. The river network of Teesta River was extracted from SRTM 90-m digital elevation model. The river network of Teesta subcatchment was then simulated by MIKE 11 rainfall-runoff Nedbor-Afstromnings-Model (NAM) and HD model. The resultant time series of river stage was then compared with corresponding observed values. From the model, a stage-discharge relationship curve and respective equation were developed for Kaunia station on the river Teesta. The developed equation determines the corresponding flood stage of estimated flood flow of 25-, 50-, and 100-year return periods. The resulting flows and stages will be useful to design hydraulic structures, prepare flood extent maps, assess vulnerability of flood damage for different return periods, and provide flood forecasting for early warnings of floods. The approach presented would be applicable to similar river basin systems where data are limited and scarce.
Keywords
This publication has 10 references indexed in Scilit:
- Flood inundation modeling using MIKE FLOOD and remote sensing dataJournal of the Indian Society of Remote Sensing, 2009
- Forecasting and warning of water-related disasters in a complex hydraulic setting—the case of BangladeshHydrological Sciences Journal, 2002
- The influence of autocorrelation on the ability to detect trend in hydrological seriesHydrological Processes, 2002
- An Assessment of Flood Forecasting in Bangladesh: The Experience of the 1998 FloodNatural Hazards, 2000
- Long-term dependence in annual peak flows of Canadian riversJournal of Hydrology, 1994
- Stochastic Water Resources TechnologyPublished by Springer Science and Business Media LLC ,1980
- Assessing systematic errors in rainfall-runoff modelsJournal of Hydrology, 1973
- NUMERICAL SIMULATION OF THE RAINFALL-RUNOFF PROCESS ON A DAILY BASISHydrology Research, 1973
- River flow forecasting through conceptual models part I — A discussion of principlesJournal of Hydrology, 1970
- On The Numerical Computation Of Nearly Horizontal FlowsJournal of Hydraulic Research, 1967