Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri

Southard, Rodney E.

doi:10.3133/sir20135090

Cited by 7 publications

(26 citation statements)

References 9 publications

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“…An improvement in accuracy was made by partitioning the streamgage data by primary physiographic province and then by basin divides. The difference in regional boundaries from Alexander and Wilson (1995) and Southard (2013) were minimal with Southard (2013) using GIS-derived basin boundaries and available streamgage data to define the regional boundaries. An exception to this minimal difference was Crowley's Ridge, which lies in the Mississippi Alluvial Plain region ( fig.…”

Section: Ordinary-least-squares Regressionmentioning

confidence: 99%

“…Information in this report builds upon the work originally done in cooperation with the Missouri Department of Natural Resources by using the suite of basin characteristics that were considered potentially significant for the low-flow frequency study (Southard, 2013) and for flood-frequency analyses. A primary component of this study includes the application of a new B-WLS/B-GLS analysis to compute a new regional skew for Missouri; this methodology also was recently used to develop a new regional skew model for Iowa (Eash and others, 2013).…”

Section: Purpose and Scopementioning

confidence: 99%

“…Southard (2013) defined low-flow regional boundaries and developed a set of regression equations for low-flow frequency statistics similar to the regional boundaries defined by Alexander and Wilson (1995). For this study, the definition of regions was based on the previous work of Alexander and Wilson (1995) and the primary basin boundaries that were defined by Southard (2013) to establish the low-flow regional boundaries. Streamgages in the vicinity of the boundaries were evaluated to determine if geographic bias existed and thus to verify the final flood regions.…”

Section: Definition Of Flood Regionsmentioning

confidence: 99%

“…The ability to measure the basin characteristics by using GIS methods helped automate the process of measuring basin characteristics and solving the regression equations for ungaged sites. In a previous study by Southard (2013), a list of 35 basin characteristics pertaining to low-and high-flows were compiled and computed for every streamgage in Missouri except for those streamgages on springs and for those on the Missouri and Mississippi Rivers.…”

Section: Basin Characteristicsmentioning

confidence: 99%

“…In Missouri, 2008 was the wettest calendar year on record since 1895 with an average rainfall of 57.34 inches (Southard, 2013). In 2011, record flooding in the Central United States caused 33 fatalities and approximately $4.2 billion in damages (Holmes and others, 2013).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Methods for estimating annual exceedance-probability discharges and largest recorded floods for unregulated streams in rural Missouri

Southard¹,

Veilleux²

2014

Scientific Investigations Report

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Section: Ordinary-least-squares Regressionmentioning

confidence: 99%

Section: Purpose and Scopementioning

confidence: 99%

Section: Definition Of Flood Regionsmentioning

confidence: 99%

Section: Basin Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Methods for estimating annual exceedance-probability discharges and largest recorded floods for unregulated streams in rural Missouri

Southard¹,

Veilleux²

2014

Scientific Investigations Report

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Using Sensor Data to Dynamically Map Large‐Scale Models to Site‐Scale Forecasts: A Case Study Using the National Water Model

Fries

Kerkez

2018

Water Resources Research

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There has been an explosive growth in the ability to model large water systems. While these models are effective at routing water across massive scales, they do not yet forecast the street‐level information desired by local decision makers. Simultaneously, the increasing affordability of sensors has made it possible for even small communities to measure the state of their watersheds. However, these real‐time measurements are often not attached to a predictive model, thus making them less useful for applications like flood warnings. In this paper, we ask the question: how can highly localized forecasts be generated by fusing site‐scale sensor measurements with outputs from large‐scale models? Rather than altering the larger physical model, our approach uses the outputs of the unmodified model as the inputs to a dynamical system. To evaluate the approach, a case study is carried out across the U.S. state of Iowa using publicly available measurements from over 180 water level sensors and outputs from the National Water Model. The approach performs well across a third of the studied sites, as quantified by a high normalized root mean squared error. A performance classification is carried out based on Principal Component Analysis and Random Forests. We discuss how these results will enable stakeholders with local measurements to quickly benefit from large‐scale models without needing to run or modify the models themselves. The results are also placed into a broader sensor‐placement context to provide guidance on how investments into local measurements can be made to maximize predictive benefits.

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An initial abstraction and constant loss model, and methods for estimating unit hydrographs, peak streamflows, and flood volumes for urban basins in Missouri

Huizinga¹

2014

Scientific Investigations Report

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The author gratefully acknowledges the assistance of Jeff Shiner at Metropolitan Sewer District of St. Louis, who provided rain gage information and interpretation that was useful in the verification of the values obtained from next generation weather radar data. Several people at the National Oceanic and Atmospheric Administration provided valuable insight on the usefulness and applicability of the various next generation weather radar products; most notable are Daniel Berkowitz and David Kitzmiller.

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Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri

Abstract: Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri: U.

Cited by 7 publications

References 9 publications

Methods for estimating annual exceedance-probability discharges and largest recorded floods for unregulated streams in rural Missouri

Methods for estimating annual exceedance-probability discharges and largest recorded floods for unregulated streams in rural Missouri

Using Sensor Data to Dynamically Map Large‐Scale Models to Site‐Scale Forecasts: A Case Study Using the National Water Model

An initial abstraction and constant loss model, and methods for estimating unit hydrographs, peak streamflows, and flood volumes for urban basins in Missouri

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