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A Large Dataset of Fluvial Hydraulic and Geometry Attributes Derived From USGS Field Measurement RecordsAccurate representation of river channel geometry is important for hydrologic and hydraulic modeling of fluvial systems. Often, channel geometry is estimated using simple rating curves that can be applied across various spatial scales. However, such methods are limited to power law relations that do not employ many potentially relevant catchment and river attributes. This paper introduce a new dataset, IFMHA (Inventory of Field Measurement of Hydraulic Attributes), to enable research studies on channel geometry and streamflow characteristics. IFMHA is derived from the National Water Information System (NWIS) site inventory for surface water field measurements and stream attributes from the National Hydrography Dataset (NHD). IFMHA includes 2,802,532 records from 10,050 sites (NWIS streamgaging stations). The dataset utility is demonstrated here by presenting a series of conceptual models for estimating channel geometry parameters (i.e., channel mean depth, channel maximum depth, wetted perimeter, and roughness) based on the available field attributes within IFMHA. Such a dataset and attributed channel geometry parameters can enhance the performance of operational flood forecasting frameworks (e.g. National Water Model) by providing more accurate initial conditions used in hydrologic and hydraulic routing models.
Document ID
20240010406
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Seyed Mohammad Hassan Erfani ORCID
(University of South Carolina Columbia Columbia, SC)
Mahdi Erfani
(University of South Carolina Columbia Columbia, SC)
Sagy Cohen
(University of Alabama Tuscaloosa, United States)
Austin R J Downey
(University of South Carolina Columbia Columbia, SC)
Erfan Goharian
(University of South Carolina Columbia Columbia, SC)
Date Acquired
August 9, 2024
Publication Date
July 16, 2024
Publication Information
Publication: Environmental Modelling and Software
Publisher: Elsevier
Volume: 180
Issue Publication Date: September 1, 2024
ISSN: 1364-8152
e-ISSN: 1873-6726
Subject Category
Meteorology and Climatology
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0054
OTHER: A22-0305
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
Hydrology
River channel geometry
Fluvial hydraulic
Large dataset
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