Predicting flood plain inundation for natural channels having no upstream gauged stations

Flow hydrographs are one of the most important key elements for flood modelling. They are recorded as time series; however, they are not available in most developing countries due to lack of gauged stations. This study presents a flood modelling method for rivers having no upstream gauged stations....

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Published in:Journal of water and climate change 2019-06, Vol.10 (2), p.360-372
Main Authors: Kaya, C. Melisa, Tayfur, Gokmen, Gungor, Oguz
Format: Article
Language:English
Subjects:
Creeks & streams
Developing countries
Downstream
Flood mapping
Flood predictions
Flood risk
Flood routing
Flood waves
Floodplains
Floods
Genetic algorithms
Geographic information systems
Geographical information systems
Hydrographs
Hydrology
Inflow
Information systems
Inverse problems
LDCs
Methods
Modelling
River networks
Rivers
Satellite navigation systems
Stations
Storm damage
Studies
Topography
Upstream
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cited_by cdi_FETCH-LOGICAL-c301t-aad06f7ac388845afc30e8407d524a332bbb6ec118642257019142ab6751693a3
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container_title Journal of water and climate change
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creator Kaya, C. Melisa
Tayfur, Gokmen
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description Flow hydrographs are one of the most important key elements for flood modelling. They are recorded as time series; however, they are not available in most developing countries due to lack of gauged stations. This study presents a flood modelling method for rivers having no upstream gauged stations. The modelling procedure involves three steps: (1) predicting upstream hydrograph by the reverse flood routing method which requires information about channel geometric characteristics, downstream flow stage and downstream flow hydrographs; (2) modelling flood wave spreading using HEC-RAS. The hydrograph predicted by the reverse flood routing in the first step becomes an inflow for the HEC-RAS model; (3) delineating the flood-risk areas by overlapping the Geographical Information System (GIS)-based flood maps produced by the HEC-RAS to the related orthophoto images. The developed model is applied to Guneysu Basin in Rize Province in Eastern Black Sea Region of Turkey. The model-produced flood map is compared to the observed one with success.
doi_str_mv 10.2166/wcc.2017.307
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identifier ISSN: 2040-2244
ispartof Journal of water and climate change, 2019-06, Vol.10 (2), p.360-372
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2408-9354
language eng
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source Alma/SFX Local Collection
subjects Creeks & streams
Developing countries
Downstream
Flood mapping
Flood predictions
Flood risk
Flood routing
Flood waves
Floodplains
Floods
Genetic algorithms
Geographic information systems
Geographical information systems
Hydrographs
Hydrology
Inflow
Information systems
Inverse problems
LDCs
Methods
Modelling
River networks
Rivers
Satellite navigation systems
Stations
Storm damage
Studies
Topography
Upstream
title Predicting flood plain inundation for natural channels having no upstream gauged stations
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