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

Author:

Aristizabal Fernando123ORCID,Salas Fernando3,Petrochenkov Gregory13ORCID,Grout Trevor134,Avant Brian13,Bates Bradford13,Spies Ryan13ORCID,Chadwick Nick3,Wills Zachary13,Judge Jasmeet2ORCID

Affiliation:

1. Lynker Leesburg VA USA

2. Center for Remote Sensing Agricultural and Biological Engineering Department University of Florida Gainesville FL USA

3. National Water Center Office of Water Prediction National Weather Service National Oceanic and Atmospheric Administration Tuscaloosa AL USA

4. Colorado Basin River Forecast Center National Weather Service National Oceanic and Atmospheric Administration Salt Lake City UT USA

Abstract

AbstractHeight 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.

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference144 articles.

1. Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model

2. NOAA‐NWS‐OWP‐fim;Aristizabal F.;Earth Science Information Partners (ESIP),2022

3. Aristizabal F Bates B. Avant B. Chadwick N. Grout T. Spies R. &Cocks G.(2022b).NOAA‐OWP/inundation‐mapping (v4.0.0.0). [Software].GitHub. Retrieved fromhttps://github.com/NOAA-OWP/inundation-mapping

4. Aristizabal F. Bates B. Avant B. Chadwick N. Grout T. Spies R. et al. (2023).Extending height above nearest drainage to model multiple fluvial sources in flood inundation mapping applications for the U.S. National Water Model[Software].HydroShare.https://doi.org/10.4211/hs.e961202cb1db41e7b7ef9258b2873761

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