Last edited by Mezirg
Tuesday, July 21, 2020 | History

2 edition of Error analysis of streamflow data for an alluvial stream found in the catalog.

Error analysis of streamflow data for an alluvial stream

D. E. Burkham

Error analysis of streamflow data for an alluvial stream

Gila River phreatophyte project

by D. E. Burkham

  • 340 Want to read
  • 7 Currently reading

Published by U.S. Govt. Print. Off. in Washington .
Written in English

  • Gila River (N.M. and Ariz.)
    • Subjects:
    • Stream measurements -- Gila River (N.M. and Ariz.),
    • Alluvial streams -- Gila River (N.M. and Ariz.)

    • Edition Notes

      Bibliography: p. 13.

      Statementby D. E. Burkham and D. R. Dawdy.
      SeriesGeological Survey professional paper 655--C, Geological Survey professional paper ;, 655-C.
      ContributionsDawdy, D. R. 1926- joint author.
      LC ClassificationsQE75 .P9 no. 655-c
      The Physical Object
      Paginationiii, 13 p.
      Number of Pages13
      ID Numbers
      Open LibraryOL4693295M
      LC Control Number77606922

      Edit: I am wondering if anyone has come across papers using common time series analysis techniques to identify the peaks in real time streamflow observations. Additionally, I am wondering if once these peaks have been identified, if any further analysis (such . As part of a broader project analyzing trends in climate, streamflow, vegetation, salmon, and ocean conditions in northern California national park units, we compiled average monthly air temperature and precipitation data from 73 climate stations, streamflow data from 21 river gaging stations, and limited stream temperature data from salmon-bearing rivers in north coastal California.

      Examine the range of flow values present in the data. Determine the number of log cycles (powers of 10) the data spans, and then for tallying data use the class intervals suggested in the table below. Range in daily discharge 1 log cycle 2 log cycles 3 log cycles 4 log cycles 5 log cycles 10 10 10 10 10 11 12 15 15 15 12 14 20 20 20 13 17 25 30 Temperature data were collected in single-channel submersible microloggers or temperature data were collected simultaneously with water-elevation data in dual-channel down-hole data loggers. Stream stage and streamflow data were collected at USGS stream gaging stations located near Hopland, Healdsburg, and Guerneville over a km reach of the.

        Generally, a minimum time period of 30 years is considered ideal for flood frequency analysis and therefore, the annual peak streamflow data from to is used in this step. Practical Outcomes Students will be able to search for, view and download annual peak streamflow data from the USGS website. Current Conditions for Colorado: Streamflow -- site(s) found. PROVISIONAL DATA SUBJECT TO REVISION Predefined displays Page Contact Information: Colorado Water Data Maintainer Page Last Modified: EDT sdww

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Error analysis of streamflow data for an alluvial stream by D. E. Burkham Download PDF EPUB FB2

ERROR ANALYSIS OF STREAMFLOW DATA FOR AN ALLUVIAL STREAMC3 The stilling well for the Gila Elver near Bylas gage (fig. 2) was established on the downstream side of the concrete bridge on U.S. Highway There is some tur­ bulence of flow past Cited by: COVID Resources.

Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

The book covers both traditional methods of data collection and methods involving the use of new and advanced technologies. It provides hydrologists and engineers with a complete reference from which to establish the accurate and reliable collection of information.

Open Library is an open, editable library catalog, building towards a web page for every book ever published. Read, borrow, and discover more than 3M books for free. 1. Introduction. Alluvial rivers are increasingly viewed as groundwater-dependent ecosystems (Stanford and Ward,Trush et al.,Hancock et al.,Larned et al., ).Groundwater inputs are necessary to sustain streamflow in most alluvial rivers, and the temperature and chemical composition of inflowing groundwater is an important control on the Cited by: 9.

Streamflow measurements are commonly based on water level measurements that are converted to a discharge rate using a rating curve (see Fig. ).The rating curve is constructed based on a sample of streamflows measured using the (time-consuming) velocity–area method and their corresponding water level (concurrent streamflow and water level data sample is termed gauging).

Stream stage is important in that it can be used (after a complex process described below) to compute streamflow, or how much water is flowing in the stream at any instant. Stream stage (also called stage or gage height) is the height of the water surface, in feet, above an established altitude where the stage is zero.

Standard errors of annual discharge and change in reservoir content data from selected stations in the Lower Colorado River streamflow-gauging station network D W Anning. Part National Engineering Handbook Chapter 5 Stream Hydrology 5–ii (–VI–NEH, August ) Tables Table 5–1 Sensitivity analysis on gage record, Willow Creek case 5–8 study Table 5–2 K-values for the Gumbel extreme value distribution 5–12 Table 5–3 K-values for the log-Pearson type III distribution 5–13 Table 5–4 Discharge peaks, with basic statistics 5– The Program T&M Chapter 6 of Book 4, The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites; Alabama.

SIRMagnitude and frequency of floods for urban streams in Alabama, ; SIRMagnitude and Frequency of Floods in Alabama, ; SIRMagnitude and Frequency of Floods on Small Rural.

The U.S. Geological Survey measures streamflow in rivers and streams across the United States using continuous monitoring devices called stream gauges.

This indicator is based on data from stream gauges located in areas where trends are not substantially influenced by dams, reservoir management, wastewater treatment facilities, or land-use.

Abstract. This paper, the first in a series of two, employs the principle of maximum entropy (POME) via maximum entropy spectral analysis (MESA) to develop a univariate model for long-term streamflow.

[1] In‐stream flow protection programs require accurate, real‐time streamflow data to aid in the protection of aquatic ecosystems during winter base flow periods. In cold regions, however, winter streamflow often can only be estimated because in‐channel ice causes variable backwater conditions and alters the stage‐discharge relation.

David Dawdy. David Dawdy is a distinguished hydrologist, with over 60 years of experience in research, teaching and consulting. He began his career at the USGS surface water branch inworking with Luna Leopold and Walter Langbein.

I can access the Issue Data, Issue Galley, and Identifier tabs fine. × KB The table of contents loads fine for volume 37 which appear just fine on the website. hour was chosen (i.e., Ohio EPA data at p.m.

was paired with USGS data at p.m.). When the Ohio EPA data was reported at an even half hour, the USGS data chosen was at the larger hour (i.e., Ohio EPA data at p.m. was paired with USGS data.

Long-term (13 years) analysis showed negative streamflow differentials (i.e., a losing stream condition) coincided with high river stages and indicated that streamflow intrusion into the aquifer. needed to periodically access and process streamflow data for the computation of streamflow statistics.

The U.S. Geological Survey (USGS) provides streamflowinformation in a variety of formats. Time-series data and some basic statistics are available from the USGS National Water Information System Web (NWISWeb, ).

Missing observed data were estimated in this study by linear regression between the streamflow for the location of interest and data from nearby stream gauges. Only % of the observed streamflow data values needed to be estimated, and, based on the strength of the correlation coefficients of the regression equations, the estimated values are.

We use streamflow statistics to mathematically manipulate discharge data in order to generate ideas about the larger (longer) "population" of streamflow at a site based on the record (sample). Streamflow statistics quantify the characteristics of the stream.

Streamflow statistics are calculated depending on the type of statistical method chosen. [49] Water level variations near Rillito Creek are defined by data from wells north of the stream and near the streamflow gauging station, Rillito Creek near Tucson.

The longest continuous record is for well (D‐13‐13)13bba, which is about km north of the creek. Water level variations at this well are dominated by long‐term declines.Streamflow from Measurements of Stage John D.

Fenton and Robert J. Keller Technical Report 01/6 September Preface A major dilemma in fl ood estimation is that the data on the largest observed fl oods, which should carry the greatest amount of information relevant to the estimation of extreme fl oods, are also the ones with the.Peak flow analysis was done using data from all three streams.

The results of the flood frequency analysis are listed in the tables and chart that follow. The flood discharge values calculated for each stream were scaled down to the drainage area of Big Noise Creek using a ratio of drainage areas (DA of Big Noise Creek/DA of nearby gage).