Open AccessHydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data
Author(s) -
Amir M.S.I.I.,
Khan M.M.K.,
Rasul M.G.,
Sharma R.H.,
Akram F.
Publication year - 2018
Publication title -
journal of flood risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.049
H-Index - 36
ISSN - 1753-318X
DOI - 10.1111/jfr3.12189
Subject(s) - flood myth , hydrology (agriculture) , environmental science , digital elevation model , structural basin , watershed , hydrological modelling , hec hms , drainage basin , flooding (psychology) , 100 year flood , flood forecasting , geographic information system , climate change , geology , climatology , geography , remote sensing , geomorphology , computer science , cartography , oceanography , geotechnical engineering , archaeology , psychology , machine learning , psychotherapist
Abstract Flood modelling of a large basin like the Fitzroy is a difficult task due to its large catchment size, the long duration of flood events, the non‐uniform spatial distribution of rainfall and a lack of required data for modelling purposes. This paper presents a systematic methodology for the flood modelling of the Fitzroy Basin using hydrologic and hydrodynamic modelling approach with Geographic Information System ( GIS ) capabilities. This study developed five flood scenarios analysing historical flood events and considering three impacts of climate change: upstream subcatchments flooding, local rainfall fluctuations and sea level rise. A hydrologic model was developed within the wider Fitzroy Basin with the five upstream subcatchments and the upper Fitzroy subcatchment in order to simulate discharge data for these scenarios at the Gap measurement location. An integrated hydrologic–hydrodynamic model was developed for the lower Fitzroy subcatchment where output discharges of the hydrologic model were considered as the upstream boundaries. The peak flood levels, peak flow rates and flood inundation durations at Rockhampton city were identified using this integrated model. GIS capabilities were specially used for automatic watershed delineation and river cross‐section extraction from Digital Elevation Model (DEM) data. The methodology proposed here is a case study and can be applied to other similar basins or catchments.