2 edition of Graphical correlation of gaging-station records found in the catalog.
Graphical correlation of gaging-station records
James Kincheon Searcy
|Statement||by James K. Searcy.|
|Genre||Handbooks, manuals, etc.|
|Series||Geological Survey water-supply paper -- 1541-C, Manual of hydrology. Part 1. General surface-water techniques|
|Contributions||Geological Survey (U.S.)|
|The Physical Object|
|Pagination||iv, 67-100 p.,  folded leaf of plates :|
|Number of Pages||100|
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Full text of "Guidebook for field trips in southwestern Maine, New England Intercollegiate Geological Conference, 78th annual meeting, Bates College, Lewiston, Maine, . The correlation of strata between wells or outcrops is called stratigraphy. Sedimentary rocks are classified on the basis of texture (grain size and shape) and composition. Clastic rocks consist of particles of broken or worn material and include shale, siltstone, sandstone, and conglomerate.
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Correlation can be either numerical or graphical, but graphical correlation of gaging-station records has several advantages. The graphical correlation method is described in a step-by-step procedure with an illustrative problem of simple correlation, illustrative problems of threeCited by: A gaging-station record is a sample of the rate of flow of a stream at a given site.
This sample can be used to estimate the magnitude and distribution of future flows if the record is long enough to be representative of the long-term flow of the stream.
The reliability of a short-term record for estimating future flow characteristics can be improved through correlation with a long-term record. Get this from a library. Graphical correlation of gaging-station records. [James K Searcy]. Get this from a library.
Graphical correlation of gaging-station records. [James K Searcy; Geological Survey (U.S.),]. distributions or graphical curves. As recommended by the Water Resources Council (), the mathematically fitted log-Pearson Type III probability distribution is used to define frequencY curves for unregulated gaging station records 10 or more years in length.
Brand new Book. Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos.
(2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the.
Stream-gaging stations for research on small watersheds by: Reinhart, Kenneth G., Published: () Levels at gaging stations by: Kenney, Terry A. Published: (). United States are the records upon which flood-frequency studies are based. Most of the records are short and the sampling errors are correspondingly large, or the records for different streams are for different periods of time.
Few records are for as long as 60 years, and most are for less than 30 by: IL Ro Suite Long Grove, Illinois Phone: () WSP C / Searcy, J. / Graphical Correlation of Gaging-Station Records, Manual of Hydrologoy: Part 1. General Surface-Water Techniques,pb, 33 pages, 1.
Correlation is simple if there is only one independent variable; multiple, if there is more than one independent variable. For gaging station records, the usual variables are the short-term gaging-station record and one or more long-term gaging-station records.
(Searcy, ) Correlative estimate. A discharge determined by correlation. SCHUMM U. Geological Survey, Denver, Colo. Sinuosity of Alluvial Rivers on the Great Plains Abstract: Data on the morphologic and sediment.
Hydrology and Hydraulic Systems Ram S. Gupta For more than 25 years, the multiple editions of Hydrology & Hydraulic Systems have set the standard for a comprehensive, authoritative treatment of the quantitative elements of water resources development. MULTIPLE-GRAPHICAL CORRELATION FOR WATER SUPPLY FORECASTING Jack F.
Hannaford!/ Introduction The primary purpose Of this paper is to acquaint you with a method of multiple-graphical correlation for use in water supply forecasting. The method has been used quite successfully by the California Division of Water Re.
Regression relation between concurrent peak flows for water years to for gaging stationCongaree River at Columbia, SC, and gaging stationBroad River at Richtex, SC. Flow-duration analysis curves can be prepared only if gaging records for single locations on a stream are available for a substantial period of time, usually several years.
In the United States, gaging records can be obtained through local offices of the USGS (or their website: given in Section ). Otherwise, a gaging station or a staff gauge Cited by: Correlation of Gaging-Station Records for Estimation of Streamflow Correlation of Duration Curves for Estimation of Streamflow Synthetic Techniques.
The MOVE.1 mathematical method and a graphical correlation method can be used to estimate low-flow statistics for low-flow partial-record stations. gaging station is linear, and the graphical. COVID campus closures: see options for getting or retaining Remote Access to subscribed contentCited by: The mean annual flood for a gaging station is by definition, the year flood from the graphic-frequency curve defined by points which are referred to the same base-time period.
The magnitude of the mean annual flood may be affected by many factors, which can. WORKSHOP IN SAMPLING REQUIREMENTS FOR MONITORING AND EVALUATION OF WATERSHED MANAGEMENT PRACTICES Presented by Simons, Li & Associates, Inc.
Daryl B. Simons Run-Ming Li -vvO Thomas P. Ballestero -MD Kenneth G. Eggert Sponsored by U.S. Environmental Protection Agency.^ Environmental Research Laboratory Athens, Georgia In cooperation with U.S. .This sampling provided estimates of density and age-structure of the trout community that are used in this analysis.
Flow statistics were based on USGS gaging station records from the Red River near Questa, NM (USGS gage ) and from the Arkansas River near Leadville, CO (USGS gage ).Horn () examined annual streamflow records for stream gages in and near Idaho to determine the annual flow characteristics.
Two sets of equations for north central and southern Idaho provi ded the best predictive results, with the equations for north central Idaho yielding multiple correlation coefficients in excess of (Horn, ).