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Flood Inundation Mapping for Probabilistic Future Flood: A Case Study of Teesta River in Bangladesh

https://doi.org/10.2139/ssrn.4641927
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inferredcites →https://doi.org/10.1002/(sici)1099-1085(20000228)14:3<605::aid-hyp957>3.0.co;2-lopenalex-extracted
Flood hazard assessment in Bangladesh using NOAA AVHRR data with geographical information system
inferredcites →https://doi.org/10.1007/978-981-10-2984-4_37openalex-extracted
Teesta River and Its Ecosystem
inferredcites →https://doi.org/10.1007/978-981-15-5644-9_2openalex-extracted
Flood Inundation Mapping of Cauvery River Using HEC-RAS and GIS
inferredcites →https://doi.org/10.1007/bf00124395openalex-extracted
Floods in Bangladesh: A question of disciplining the rivers
inferredcites →https://doi.org/10.1007/s00477-020-01862-5openalex-extracted
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
inferredcites →https://doi.org/10.1007/s11069-011-0059-3openalex-extracted
Analysis of flood vulnerability and assessment of the impacts in coastal zones of Bangladesh due to potential sea-level rise
inferredcites →https://doi.org/10.1007/s11269-006-9116-1openalex-extracted
Evaluating Flood Hazard for Land-Use Planning in Greater Dhaka of Bangladesh Using Remote Sensing and GIS Techniques
inferredcites →https://doi.org/10.1007/s40030-018-0317-4openalex-extracted
Flood Management in Mahanadi Basin using HEC-RAS and Gumbel’s Extreme Value Distribution
inferredcites →https://doi.org/10.1016/j.envsoft.2017.01.006openalex-extracted
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
inferredcites →https://doi.org/10.1016/j.ijdrr.2014.06.001openalex-extracted
Digital elevation based flood hazard and vulnerability study at various return periods in Sirajganj Sadar Upazila, Bangladesh
inferredcites →https://doi.org/10.1016/j.jhydrol.2004.06.036openalex-extracted
Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
inferredcites →https://doi.org/10.1016/j.jhydrol.2010.03.027openalex-extracted
A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling
inferredcites →https://doi.org/10.1017/9781009325844openalex-extracted
Climate Change 2022 – Impacts, Adaptation and Vulnerability
inferredcites →https://doi.org/10.1023/a:1008151023157openalex-extracted
An Assessment of Flood Forecasting in Bangladesh: The Experience of the 1998 Flood
inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0000299openalex-extracted
Design Flow and Stage Computations in the Teesta River, Bangladesh, Using Frequency Analysis and MIKE 11 Modeling
inferredcites →https://doi.org/10.1080/02626661003683389openalex-extracted
Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches
inferredcites →https://doi.org/10.1080/02626667.2020.1843656openalex-extracted
Generating design flood hydrographs by parameterizing the characteristic flood hydrograph at a site using only flow data
inferredcites →https://doi.org/10.1088/1748-9326/ac4d4fopenalex-extracted
A 30 m global map of elevation with forests and buildings removed
inferredcites →https://doi.org/10.1111/j.1753-318x.2010.01074.xopenalex-extracted
Flood inundation map of Bangladesh using MODIS time‐series images
inferredcites →https://doi.org/10.11648/j.wros.20170604.11openalex-extracted
Flood Frequency Analysis Using Gumbel's Distribution Method: A Case Study of Lower Mahi Basin, India
inferredcites →https://doi.org/10.21660/2017.36.2741openalex-extracted
DETERMINING PEAK DISCHARGE FACTOR USING SYNTHETIC UNIT HYDROGRAPH MODELLING (CASE STUDY: UPPER KOMERING SOUTH SUMATERA, INDONESIA)
inferredcites →https://doi.org/10.5194/piahs-370-75-2015openalex-extracted
Effectiveness of water infrastructure for river flood management – Part 1: Flood hazard assessment using hydrological models in Bangladesh
inferredcites →https://doi.org/10.5772/intechopen.82140openalex-extracted
Fitting a Generalised Extreme Value Distribution to Four Candidate Annual Maximum Flood Heights Time Series Models in the Lower Limpopo River Basin of Mozambique
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