Abstract
With the extensive use of 2D flood models, the resolution and quality of Digital Elevation Models (DEMs) have come under greater focus especially in urban hydrology. One of the major research areas, in this regard, is the effect of DEM resolution on flood modelling. This study first investigates the root causes of the impact of DEM resolution on urban fluvial flood modelling outputs using DEMs with grid resolutions ranging from 1 m to 50 m. The study then investigates how DEM resolution affects the definition and characterisation of the river channel and the consequences of this for the modelled results. For this purpose, a separate set of merged DEMs was generated where the river channel as defined by the 1 m resolution DEM is merged with coarser resolution DEMs. Data obtained during the flood event caused by Storm Desmond (2015) in Cockermouth (Cumbria, UK) was used for this study. The HEC-RAS 2D model was used for all of the simulations. The benchmark model obtained with the 1 m resolution DEM was calibrated using measured water levels at two locations within the rivers. Results show that there is a 30% increase in flood extent from 58.9 ha to 79.0 ha and a 150% increase in mean flood depth from 1.74 m to 4.30 m when the resolution reduces from a 1 m grid to a 50 m grid. The main reason for this is the increasing lack of definition of the river channel with an associated reduction in the estimated depth of the river resulting in reduced river channel conveyance. This then leads to an increase in the flood extent and depth especially in the immediate vicinity of the river. This effect is amplified when the DEM grid size is greater than the river width. When the 1 m resolution DEM for the river channel is used in conjunction with coarser resolution DEMs for the surrounding areas (merged DEMs), there is a significant improvement in the agreement between the modelled and the reference case (obtained from the benchmark model) flood extents and depths. The use of merged DEMs reduces the error in mean flood depth from 90% to 4% and reduces the overall RMSE in flood depths from 2.6 m to 0.9 m at 30 m resolution. The use of merged DEMs, where a higher resolution DEM is used to characterise the river channel in conjunction with, for example, a 30 m resolution DEM (e.g., the freely available NASA Shuttle Radar Topography Mission DEMs) for the wider area could be a cost-effective solution for locations where higher resolution DEMs may not be available.
Highlights
Between 1998 and 2017, floods affected more than two billion people worldwide and flood together with storms and droughts contributed to 80–90% of the worldwide natural disasters in the last ten years (WHO, 2020)
This study aims to investigate the effect of Digital Elevation Models (DEMs) resolution in the definition and characterisation of the river channel and the consequences of this in urban fluvial flood modelling by making use of a merged DEM approach with different resolutions for river and the rest of the area
We have presented a cropped area of the flood map obtained using a 50 m resolution DEM in Fig. 11 indicating areas with a negative and a positive EFD together with a road map of the same area
Summary
Between 1998 and 2017, floods affected more than two billion people worldwide and flood together with storms and droughts contributed to 80–90% of the worldwide natural disasters in the last ten years (WHO, 2020). Across England, the Environment Agency (EA) estimates that there are 2.7 million properties at risk of fluvial and coastal flooding, three million properties at risk of pluvial flooding and 660,000 at risk from all sources (coastal, fluvial and pluvial) (Environment Agency, 2009). With the ever-increasing development of dwellings on flood plains (Pottier et al, 2005) and more extreme and intense rainfall events due to phenomenon such as El Nino driven by global warming (Corringham and Cayan, 2019; Ward et al, 2014), the frequency, magnitude and impacts of flood events are only going to increase. Accurate modelling and forecasting of flooding play a major role in the better management of flood risk. NASA’s Shuttle Radar Topography Mission (SRTM) has provided a 30 m resolution Digital
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