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Last modified
1/26/2010 3:17:00 PM
Creation date
10/12/2006 4:54:38 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8273.100
Description
Colorado River Basin Salinity Control - Federal Agency Reports - BOR
Basin
Colorado Mainstem
Water Division
5
Date
5/1/1975
Title
Application of Stochastic Hydrology to Simulate Streamflow and Salinity in the Colorado River
Water Supply Pro - Doc Type
Report/Study
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<br /> <br />~ <br />~ <br />en <br />~l <br /> <br />1.3 Scope and Purpose <br /> <br />The purpose of this report is threefold. First, it is a progress <br />report in that it will describe the status of the data analysis, river <br />basin simulation, and synthetic hydrology programs. Second, it will <br />explain the techniques we have incorporated into the models; and <br />finally, it is intended to show specific results of the application <br />of the methods to the Colorado River. This report will serve as a <br />written record of the progress of the entire effort as well as <br />specific numerical results. Also, results from our experience will <br />help define the need for further refinement. The order of the dis- <br />cussion will be to first describe the procedures and techniques <br />used to define time series, how this is used to generate synthetic <br />streamflows, and some observations on how to do a better job in the <br />future. In general, an attempt will be made to describe the philosophy <br />and logic of a procedure or approach before giving numerical results <br />of applying it. <br /> <br />II. DATA ANALYSIS AND SYNTHESIS TECHNIQUES <br /> <br />Before discussing the data generation aspect of this modeling effort, <br />the problem of obtaining numerical coefficients to describe streamflow <br />must be approached, However, since the data analysis results are <br />used for generating synthetic streamflow, it is helpful to see the <br />entire process before inspecting either phase in too much detail, <br />In fact, the streamflow generation technique involves the same <br />statistical properties as the data analysis, The philosophy is to <br />define a mathematical structure (or model) which reflects major <br />characteristics and attributes of the streamflow series (or, in general, <br />any time series), use data or historic records to estimate the <br />values of coefficients used in the model, and finally use those values <br />with the model to generate synthetic traces. The following block diagram <br />may help the reader to visualize this broad philosophy. <br /> <br />4 <br />
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