Bankfull Regression Equations for CONUS

Authors:

Taher Chegini

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Taher Chegini

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Created:

Feb 12, 2024 at 11:41 p.m.

Last updated:

Feb 12, 2024 at 11:53 p.m.

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Abstract

For hydrological and hydraulic modeling, the bankfull width and depth are
important parameters that are challenging to measure in the field and/or
estimate a priori. Many studies suggested different methodologies for estimating
these parameters based on various geomorphological and hydrological characteristics.
One such study is by [Bieger et al. (2015)](https://doi.org/10.1111/jawr.12282)
which proposed a methodology to estimate bankfull width and depth for the conterminous
United States (CONUS) using regression equations. They gathered hydraulic geometry
data from hundreds of sites across the CONUS and developed regional regression
equations for the
[Physiographic Regions of CONUS](https://www.sciencebase.gov/catalog/item/631405bbd34e36012efa304e).
The general form of the regression equations is:

\begin{equation}
Y = a * A^b,
\end{equation}

where `Y` is the bankfull width or depth, `A` is the drainage area, and `a` and `b`
are the coefficients of the regression equation. The coefficients `a` and `b` are
specific to each physiographic region. Thus, bankfull width and depth can be
estimated for any location in the CONUS using the drainage area and the coefficients
of the corresponding physiographic region.

However, the dataset provided by Bieger et al. (2015) is not readily available
for use in hydrological and hydraulic modeling. This repository aims to provide
a methodology to generate a geospatial dataset for the bankfull width and depth of the CONUS using the regression equations provided by Bieger et al. (2015).
So, users can easily query the bankfull width and depth for any location in the
CONUS using the drainage area and the coefficients of the corresponding physiographic.