Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers

Rachol, Cynthia M.; Boley-Morse, Kristine L.

doi:10.3133/sir20095133

Cited by 6 publications

(3 citation statements)

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“…In streams that are gauged, the frequency of bankfull discharge can be determined directly from statistical analyses of the gauge record of peak flows or daily flows. Results from peak‐flow frequency analyses of streams in a wide range of hydroclimatic settings indicate that the recurrence interval of bankfull discharge typically falls in the range of 1–3 years on the annual series [ Wolman and Leopold , 1957; Wolman and Miller , 1960; Emmett , 1975; Whiting et al , 1999; Castro and Jackson , 2001; Chaplin , 2005; Dodov and Foufoula‐Georgiou, 2005; Keaton et al , 2005; Sherwood and Huitger, 2005; Mulvihill et al , 2009; Rachol and Boley‐Morse , 2009]. Exceptions to this “rule of thumb” have been noted in several studies, notably those of Williams [1978], Pickup and Warner [1976], and DeRose et al [2008].…”

Section: Introductionmentioning

confidence: 99%

Scaling frequency of channel‐forming flows in snowmelt‐dominated streams

Segura

Pitlick

2010

Water Resources Research

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1] The scaling properties of channel-forming flows are investigated using a regional flow frequency model developed for snowmelt-dominated streams in Colorado. The model is derived from analyses of daily flow records at 32 gauging stations where we have independent measurements of the bankfull discharge. The study sites are located in alpine/subalpine basins with drainage areas ranging from 4 to 3700 km 2 . The frequency distribution of daily flows at these locations can be reproduced with a broken power law (BPL) function described by two free parameters. Both parameters are strongly correlated with drainage area, and based on these correlations, a regional model capable of predicting the frequency of daily flows above the mean annual flow was formulated.The applicability of the model was tested using daily flow records from 32 similar-size basins in Idaho. The frequency distributions of daily flows in snowmelt-dominated streams in Colorado and Idaho with highly predictable hydrographs (i.e., 1 year autocorrelation above 0.7) are well fitted by the BPL function. According to the model, the frequency of flows greater than bankfull decreases downstream from about 15 d/yr in headwater reaches to about 6 d/yr in downstream reaches. These results imply that the basin response to precipitation and runoff is nonlinear. This multiscaling behavior can be physically interpreted as the result of scale-dependent variations in runoff and sediment supply, which influence downstream trends in the bankfull channel geometry and intensity of sediment transport.Citation: Segura, C., and J. Pitlick (2010), Scaling frequency of channel-forming flows in snowmelt-dominated streams, Water Resour. Res., 46, W06524,

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Section: Introductionmentioning

confidence: 99%

Scaling frequency of channel‐forming flows in snowmelt‐dominated streams

Segura

Pitlick

2010

Water Resources Research

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“…(1994); Andrén (1994); Andrews (1984); Bomhof et al. (2015); Bray (1973); Dudley (2004); Elliott and Cartier (1986); Ellis and Church (2005); Emmett (1972, 1975); Fahnestock (1963); Griffiths (1980); Hey and Thorne (1986); King (2004); Leopold and Maddock (1953); Magirl and Olsen (2009); McCandless and Annapolis (2003); McCandless and Everett (2002); Mikhailov (1970); Miller (1958); Moody and Troutman (2002); Mulvihill and Baldigo (2012); Pugh and Redman (2019); Rachol and Boley‐Morse (2009); Rhoads (1991); Sweet and Geratz (2003); Xu (2004).…”

Section: Introductionmentioning

confidence: 99%

“…;Magirl and Olsen (2009);McCandless and Annapolis (2003);McCandless and Everett (2002);Mikhailov (1970);Miller (1958);Moody and Troutman (2002);Mulvihill and Baldigo (2012);Pugh and Redman (2019);Rachol and Boley-Morse (2009); Rhoads (1991);Sweet and Geratz (2003);Xu (2004). DHS, downstream hydraulic geometry.…”

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Rationalizing the Differences Among Hydraulic Relationships Using a Process‐Based Model

Coco

Townend

et al. 2021

Water Resources Research

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An ancient Chinese proverb states: "Don't push the river, it flows by itself." Scientists and engineers have long struggled to fully translate the second part of the proverb into a mathematical description. Leopold and Maddock (1953) linked the time-varying measurements of instantaneous river width B, depth H and velocity U at a gauging station to the corresponding discharge Q using simple power functions, and termed such empirical relationships as at-a-station hydraulic geometry (denoted as "AHG" hereafter). At the same time, the authors created downstream hydraulic geometry (denoted as "DHG" hereafter) to describe the hydraulic relations with bankfull (or mean annual) B, H, U, and Q downstream along a river. The fundamental difference between these two relationships is that AHG deals with temporal variability while DHG focuses on spatial variability. In addition, the mean annual or bankfull parameters used in DHG generally have a longer returning period than the time-varying parameters of AHG. Despite their conceptual difference, both AHG and DHG were expressed by the same well-known functional forms:

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Development of Regional Curves for Hydrologic Landscape Regions (HLR) in the Contiguous United States

Blackburn-Lynch

Agouridis

Barton

2017

J American Water Resour Assoc

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Regional curves relate drainage area to the bankfull channel characteristics discharge, cross‐sectional area, width, and mean depth. These curves are used for a variety of purposes, including aiding in the field identification of bankfull elevation and in the natural channel design process. When developing regional curves, the degree to which landform, geology, climate, and vegetation influence stream systems within a single physiographic province may not be fully considered. This study examined the use of the U.S. Geological Survey's Hydrologic Landscape Regions (HLR), as well as data from 2,856 independent sites throughout the contiguous United States (U.S.), to develop a set of regional curves (bankfull discharge, cross‐sectional area, width, and mean depth) for (1) the contiguous U.S., (2) each of the 20 HLRs, (3) each of the eight physiographic divisions, (4) 22 of the 25 physiographic provinces, and (5) individual HLRs within the physiographic provinces. These regional curves were then compared to each other, as well as those from the literature. Regional curves developed for individual HLRs, physiographic divisions, and physiographic provinces tended to outperform the contiguous U.S. indicating increased stratification was beneficial. Further stratifying physiographic provinces by HLR markedly improved regional curve reliability. Use of HLR as a basis of regional curve development, rather than physiographic region alone, may allow for the development of more robust regional curves.

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Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers

Abstract: The author would like to acknowledge the following people for their contributions to and support of this study. Field survey crews led by Jessica Mistak and Chris Freiburger of the Fisheries

Cited by 6 publications

References 4 publications

Scaling frequency of channel‐forming flows in snowmelt‐dominated streams

Scaling frequency of channel‐forming flows in snowmelt‐dominated streams

Rationalizing the Differences Among Hydraulic Relationships Using a Process‐Based Model

Development of Regional Curves for Hydrologic Landscape Regions (HLR) in the Contiguous United States

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