Application of a rainfall-runoff model in estimating flood peaks for selected small natural drainage basins in Texas

Massey, B.C.; Schroeder, E.E.

doi:10.3133/ofr77792

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…The annual peak data from the 1966-74 CSG network were incorporated into prior USGS statistical analyses (Schroeder and Massey, 1977;Asquith and Slade, 1997). References to the data from the 1966-74 CSG network can be found in Ruggles (1966), Schroeder ( , 1971aSchroeder ( , b, 1972Schroeder ( , 1973Schroeder ( , 1974, Gilbert and Hawkinson (1971), and Massey and Schroeder (1977). Many of the stations operated for the 1966-74 CSG network can be identified in Asquith and Slade (1997, table 1) through inspection of those stations having 8 or 9 years of record in that referenced table-although not all stations having these record lengths were in the 1966-74 CSG network (review of the USGS-NWIS peak-streamflow database [U.S. Geological Survey, 2018a] by station identification number and pertinent years would be required).…”

Section: Background and Previous Studiesmentioning

confidence: 99%

Annual and approximately quarterly series peak streamflow derived from interpretations of indirect measurements for a crest-stage gage network in Texas through water year 2015

Asquith¹,

Harwell²,

Winters³

2018

Scientific Investigations Report

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In 2006, the U.S. Geological Survey (USGS), in cooperation with the Texas Department of Transportation, began collecting annual and approximately quarterly series peak-streamflow data at streamflow-gaging stations in smallto medium-sized watersheds in central and western Texas as part of a crest-stage gage (CSG) network, along with selected flood-hydrograph data at a subset of these stations. CSGs record the peak stage during storm events, which is the maximum gage height (elevation of water surface above a local vertical datum), at each CSG station. Established and widely used indirect methods of peak streamflow estimation and interpretation, such as culvert-flow, slope-area, and flow-over-road methods, are used in conjunction with peak gage height data to create the database of peak streamflow described herein. The CSG network is focused on hydrology of small-to medium-sized watersheds in central and western Texas because additional streamflow data for this semiarid to arid study area will eventually provide for more statistical information and presumably reduced uncertainty in regional regression equations or other regionalized statistical methods for peak-streamflow frequency estimation at ungaged locations. The database of annual and approximately quarterly peak streamflow is published through USGS ScienceBase and described in this report.

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Section: Background and Previous Studiesmentioning

confidence: 99%

Annual and approximately quarterly series peak streamflow derived from interpretations of indirect measurements for a crest-stage gage network in Texas through water year 2015

Asquith¹,

Harwell²,

Winters³

2018

Scientific Investigations Report

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show abstract

“…1). At 249 sites, recorded annual peak data were used in the analysis, and at 40 sites annual peaks derived from a rainfall-runoff simulation model (Massey and Schroeder, 1977) were used.…”

Section: Flood-frequency Analysismentioning

confidence: 99%

“…Because of the need for better definition of flood-frequency relations for small drainage areas (less than 50 square miles) in Texas, the rainfallrunoff simulation model developed by Dawdy, Lichty, and Bergmann (1972) was used to extend short-term records on small drainage areas so that the magnitude and frequency of floods with recurrence intervals as high as 100 years could be defined (Massey and Schroeder, 1977). The parameters developed from calibration of the simulation model, together with long-term rainfall and evaporation records, were used to simulate an array of annual peaks at each of 40 sites on small drainage areas with short-term records.…”

Section: Flood-frequency Analysismentioning

confidence: 99%

“…Most of the flood-frequency curves derived from synthesized data exhihited a characteristic regression effect of having a smaller standard deviation than the curves obtained by use of recorded data from several sites with more than 20 years of record (Massey and Schroeder, 1977). Adjustments were made by using a method proposed by W. H. Kirby (oral commun., 1975).…”

Section: Flood-frequency Analysismentioning

confidence: 99%

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Technique for estimating the magnitude and frequency of floods in Texas

Schroeder¹,

Massey²

1977

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Drainage area, slope, and mean annual precipitation were the only factors that were statistically significant at the 95-percent confidence level when the characteristics of the drainage basins were used as independent variables in a multiple-regression flood-frequency analysis of natural, unregulated streams in Texas. The State was divided into six regions on the basis of the distribution of the residuals from a single statewide regression of the 10-year flood. Equations were developed for predicting the magnitude of floods with recurrence intervals of 2, 5, 10, 25, SO, and 100 years in each of the six regions. These equations are applicable to unregulated rural streams with drainage basins ranging in area from 0.3 square mile to about 5,000 square miles in some regions. Regression equations were not developed for several areas, particularly in south Texas, because of the lack of definition of the flood-frequency characteristics.

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Surface water hydrology

Kibler¹,

Hipel²

1979

Reviews of Geophysics

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Steady progress in many areas of deterministic and stochastic hydrology has occurred in the period 1975–78. In almost every instance, the progress reported here is the result of work continuing from an earlier period and not the result of technical breakthrough during the past four years. With regard to deterministic hydrology, important advances have been made relative to: assessment of spatial variability in the sub‐processes of infiltration, surface depression storage, and surface and sub‐surface runoff; development of simplified methods of flood routing in rivers, reservoirs and storm drain systems; application of conceptual models to hydrologic‐environmental problems; selection of flood frequency models and the analysis of parameter uncertainty; and preliminary assessment of flood frequency methods for ungaged watersheds. In the field of stochastic hydrology, important advances have been made regarding: the Hurst phenomenon; Box‐Jenkins modeling; Kaiman filtering; simulation methods based on Bayesian and multivariate models; spectral methods applied to watershed response; and reservoir theory.

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Application of a rainfall-runoff model in estimating flood peaks for selected small natural drainage basins in Texas

Cited by 6 publications

References 3 publications

Annual and approximately quarterly series peak streamflow derived from interpretations of indirect measurements for a crest-stage gage network in Texas through water year 2015

Annual and approximately quarterly series peak streamflow derived from interpretations of indirect measurements for a crest-stage gage network in Texas through water year 2015

Technique for estimating the magnitude and frequency of floods in Texas

Surface water hydrology

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