Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model

The height above nearest drainage (HAND) model is frequently used to calculate properties of the soil and predict flood inundation extents. HAND is extremely useful due to its lack of reliance on prior data, as only the digital elevation model (DEM) is needed. It is close to optimal, running in line...

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Vydáno v:Hydrology Ročník 8; číslo 2; s. 65
Hlavní autoři: Hu, Anson, Demir, Ibrahim
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.06.2021
Témata:
Accuracy
Algorithms
C plus plus
Decision making
Digital Elevation Models
Drainage
Emergency management
Emergency preparedness
Flood damage
Flood management
Flood mapping
flood maps
Flood predictions
flood risk management
flood risk mapping
Floods
HAND model
Hydrodynamics
hydrologic data
Hydrology
insurance
Iowa
JavaScript
landscapes
Mapping
Mitigation
Model accuracy
soil
Soil properties
Storm damage
Watersheds
web systems
WebAssembly
Iowa
ISSN:2306-5338, 2306-5338
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Shrnutí:The height above nearest drainage (HAND) model is frequently used to calculate properties of the soil and predict flood inundation extents. HAND is extremely useful due to its lack of reliance on prior data, as only the digital elevation model (DEM) is needed. It is close to optimal, running in linear or linearithmic time in the number of cells depending on the values of the heights. It can predict watersheds and flood extent to a high degree of accuracy. We applied a client-side HAND model on the web to determine extent of flood inundation in several flood prone areas in Iowa, including the city of Cedar Rapids and Ames. We demonstrated that the HAND model was able to achieve inundation maps comparable to advanced hydrodynamic models (i.e., Federal Emergency Management Agency approved flood insurance rate maps) in Iowa, and would be helpful in the absence of detailed hydrological data. The HAND model is applicable in situations where a combination of accuracy and short runtime are needed, for example, in interactive flood mapping and supporting mitigation decisions, where users can add features to the landscape and see the predicted inundation.
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ISSN:2306-5338
2306-5338
DOI:10.3390/hydrology8020065