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Saturday, July 25, 2020 | History

3 edition of use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models found in the catalog.

use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models

C. L. Sanders

use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models

by C. L. Sanders

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  • 37 Currently reading

Published by U.S. Dept. of the Interior, U.S. Geological Survey, Earth Science Information Center, Open-File Reports Section [distributor] in Columbia, S.C, Denver, CO .
Written in English

    Subjects:
  • Computer programs,
  • Programming languages (Electronic computers),
  • Computer software

  • Edition Notes

    Other titlesUse of three parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models.
    Statementby Curtis L. Sanders, Jr.
    SeriesWater-resources investigations report -- 95-4090.
    ContributionsGeological Survey (U.S.)
    The Physical Object
    Paginationiii, 17 p. :
    Number of Pages17
    ID Numbers
    Open LibraryOL17007879M
    OCLC/WorldCa34066146


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Use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models by C. L. Sanders Download PDF EPUB FB2

Get this from a library. The use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models. [C L Sanders; Geological Survey (U.S.)].

Sanders, C.L.,The use of three-parameter rating table lookup programs, RDRAT and PARM3, in hydraulic flow models: U.S. Geological Survey Water-Resources Investigations Report18 p. TRAINING Modeling of Ground-Water Flow Using Finite-Difference Methods (GWTC), offered annually at the USGS National Training Center.

NAME branch - Branch-Network Dynamic Flow Model ABSTRACT The Branch-Network Dynamic Flow Model--BRANCH--is used to simulate steady or unsteady flow in a single open-channel reach (branch) or throughout a system of branches (network) connected in a dendritic or looped pattern.

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Definition of the issues to the use of latent trait models, specifically one- and three-parameter logistic models, in conjunction with multi-level achievement batteries, forms the basis of this.