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dc.contributor.authorHu, Anson
dc.contributor.authorDemir, Ibrahim
dc.date.accessioned2022-01-21T16:39:30Z
dc.date.available2021-10-27T18:01:47Z
dc.date.available2022-01-21T16:39:30Z
dc.date.issued2021-04
dc.date.submitted2021-03
dc.identifier.issn2306-5338
dc.identifier.urihttps://hdl.handle.net/1721.1/133190.2
dc.description.abstractThe 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.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/hydrology8020065en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleReal-Time Flood Mapping on Client-Side Web Systems Using HAND Modelen_US
dc.typeArticleen_US
dc.identifier.citationHydrology 8 (2): 65 (2021)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalHydrologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-04-23T13:33:44Z
dspace.date.submission2021-04-23T13:33:44Z
mit.journal.volume8en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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