Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping

Aristizabal, Fernando; Salas, F.; Petrochenkov, Gregory; Grout, Trevor; Avant, Brian; Bates, Bradford; Spies, R.; Chadwick, Nick; Wills, Zachary; Judge, Jasmeet

doi:10.22541/essoar.167079459.98018200/v1

Cited by 1 publication

(7 citation statements)

References 53 publications

(96 reference statements)

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“…A user only needs to install Docker on their host machine and build the image from the provided recipe. Source code is made available for this project where a user could consult the Readme.md page for more information on how to acquire the data sets and reproduce the pipeline (Aristizabal et al., 2022b, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…Data sources used within OWP FIM are publicly available from a variety of government sources including the USGS, NWC, Federal Emergency Management Agency (FEMA), and US Army Core of Engineers (USACE) to enhance reproducibility and collaboration among government, academia, and industry. Instructions for accessing data processed for OWP FIM are provided on the project's GitHub or HydroShare page via an Amazon Web Services (AWS) S3 bucket furnished by the Earth Science Information Partners (ESIP) (Aristizabal et al, 2022a(Aristizabal et al, , 2022b(Aristizabal et al, , 2023. The National Hydrography Data set Plus High Resolution (NHDPlusHR) Beta Version is the latest hydrography data set used for land surface hydrologic modeling in the US (Moore et al, 2019).…”

Section: Data Setsmentioning

confidence: 99%

“…National Water Model (NWM) data used in this study includes the hydrofabric related data sets (NWM Hydrofabric V2.1, 2021) including catchments, flowpaths, and reservoirs (NWM Hydrofabric V2.1, 2021). These are furnished by the National Oceanic and Atmospheric Administration (NOAA) Office of Water Prediction (OWP) via an Earth Science Information Partners (ESIP) Amazon Web Services (AWS) S3 Bucket (Aristizabal et al, 2022a). OWP Flood Inundation Mapping (FIM) capabilities rely extensively on the use of the National Hydrography Plus High Resolution (NHDPlusHR) datasets including BurnLineEvents (NHDPlusHR GDB, 2021), value-added attributes (VAA) (NHDPlusHR GDB, 2021), water boundaries (WBD) or hydrologic unit code (HUC) geometries (NHDPlusHR WBD, 2021), and digital elevation maps (DEM) (NHDPlusHR DEM, 2021).…”

Section: Appendix A: Stream Network Enforcementmentioning

confidence: 99%

“…Evaluation data was furnished by Interagency Flood Risk Management (InFRM) consortium including cross-sections and flood depths (Base Level Engineering (BLE) Tools and Resources, 2021;estBFE Viewer, 2021). Additionally, some FIM hydrofabric data including HAND grids, catchments, flowpaths, synthetic rating curves, and cross-walk tables are available on the ESIP bucket (Aristizabal et al, 2022a). Software used in preprocessing data, producing FIM hydrofrabic, generating FIM, computing metrics, and conducting analysis is available from a publicly available Github repository and a HydroShare resource called "inundation-mapping" from the "NOAA-OWP" organization (Aristizabal et al, 2022b(Aristizabal et al, , 2023.…”

Section: Appendix A: Stream Network Enforcementmentioning

confidence: 99%

“…Additionally, David Blodgett from the United States Geological Survey (USGS) Water Mission Area was instrumental in helping define level paths and other hydrographic work. More information on code availability, usage, and data retrieval for OWP FIM is available on GitHub and HydroShare (Aristizabal et al, 2022b(Aristizabal et al, , 2023. Thanks to the Earth and Space Science Informatics Partnership (ESIP) for storing data from this study for public use and dissemination helping to provide transparent data sets for further collaboration with the research community (Aristizabal et al, 2022a).…”

Section: Appendix A: Stream Network Enforcementmentioning

confidence: 99%

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Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model

Aristizabal

Salas

Petrochenkov

et al. 2023

Water Resources Research

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Height Above Nearest Drainage (HAND), a drainage normalizing terrain index, is a means able of producing flood inundation maps (FIMs) from the National Water Model (NWM) at large scales and high resolutions using reach‐averaged synthetic rating curves. We highlight here that HAND is limited to producing inundation only when sourced from its nearest flowpath, thus lacks the ability to source inundation from multiple fluvial sources. A version of HAND, known as Generalized Mainstems (GMS), is proposed that discretizes a target stream network into segments of unit Horton‐Strahler stream order known as level paths (LPs). The FIMs associated with each independent LP are then mosaiced together, effectively turning the stream network into discrete groups of homogeneous unit stream order by removing the influence of neighboring tributaries. Improvement in mapping skill is observed by significantly reducing false negatives at river junctions when the inundation extents are compared to FIMs from that of benchmarks. A more marginal reduction in the false alarm rate is also observed due to a shift introduced in the stage‐discharge relationship by increasing the size of the catchments. We observe that the improvement of this method applied at 4%–5% of the entire stream network to 100% of the network is about the same magnitude improvement as going from no drainage order reduction to 4%–5% of the network. This novel contribution is framed in a new open‐source implementation that utilizes the latest combination of hydro‐conditioning techniques to enforce drainage and counter limitations in the input data.

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Section: Methodsmentioning

confidence: 99%