Publication Abstracts

Erfani et al. 2024

Erfani, S.M.H., M. Erfani, S. Cohen, A.R.J. Downey, and E. Goharian, 2024: A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records. Environ. Model. Softw., 180, 106136, doi:10.1016/j.envsoft.2024.106136.

Accurate 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.

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BibTeX Citation

@article{er09000j,
  author={Erfani, S. M. H. and Erfani, M. and Cohen, S. and Downey, A. R. J. and Goharian, E.},
  title={A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records},
  year={2024},
  journal={Environmental Modelling and Software},
  volume={180},
  pages={106136},
  doi={10.1016/j.envsoft.2024.106136},
}

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RIS Citation

TY  - JOUR
ID  - er09000j
AU  - Erfani, S. M. H.
AU  - Erfani, M.
AU  - Cohen, S.
AU  - Downey, A. R. J.
AU  - Goharian, E.
PY  - 2024
TI  - A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records
JA  - Environ. Model. Softw.
JO  - Environmental Modelling and Software
VL  - 180
SP  - 106136
DO  - 10.1016/j.envsoft.2024.106136
ER  -

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