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In recent years, substantial efforts are being made to improve this complex situation of observing, mapping, and modeling flood processes, both in terms of flood model development and remote sensing, particularly satellite platforms.
The flood model performed well when validated for specific events (cf. Figs SI 6 and SI 7).
In the flood model, wetland presence is represented using a friction (Manning's) coefficient which is considered adequate for most situations49.
Next, annual flood height exceedance probabilities were estimated at all the locations for over 2000 events using the flood model.
Core Flood model was designed for oil recovery operations using rhamnolipid.
The hydrological processes were simulated by the spatially distributed flash flood model Kampus.
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A hydrodynamic flood inundation model (FloodMap) simulates the 2014 pluvial and 2015 fluvial flood events.
FLO-2D is used in this study as the flood inundation model.
Actual flood data from Typhoon Morakot for the Linbian River was used to verify the flood simulation model.
Flood inundation models are increasingly used for a wide variety of river and coastal management applications.
Newly available, more detailed and accurate elevation data sets, such as Digital Elevation Models (DEMs) generated on the basis of imagery from terrestrial LiDAR (Light Detection and Ranging) systems or Unmanned Aerial Vehicles (UAVs), can be used to improve flood-model input data and consequently increase the accuracy of the flood modelling results.
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