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WSP00029
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Last modified
1/26/2010 12:12:26 PM
Creation date
10/11/2006 9:29:02 PM
Metadata
Fields
Template:
Water Supply Protection
File Number
8271.300
Description
Colorado River Basin Salinity Control Program - General Information and Publications-Reports
Basin
Colorado Mainstem
Water Division
5
Date
6/1/1976
Title
Computer Simulation of Surface Water Hydrology and Salinity with and Application to Studies of Colorado River Management -- Part 2 of 2 -- Page 143 - end
Water Supply Pro - Doc Type
Report/Study
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<br />C;) <br />o l~ <br />~ <br />l~ <br />~ periods of time are required for reservoir storage to ,ecover from <br />~ <br />severe drawdown, barring curtailment of either upstream or downstream <br /> <br />depletions. <br /> <br />6.2 Determination of Simulation Time and Stability of System Response <br /> <br />The simulation time is the number of years for which the system is <br /> <br />observed. It is desired that there be a sufficient number of observa- <br /> <br />tions to provide stable estimates of system response. <br /> <br />A common practice for obtaining stable measurements of system <br /> <br />response from simulation studies is to make several simulations and <br /> <br />treat them as replications of a single experiment. Analyzing the <br /> <br />results from several runs may indicate convergence and provide estimates <br /> <br />of average response and variance of response (Emshoff and Sisson, 1970; <br /> <br />Mize and Cox, 1968). The length of each simulation and the number of <br /> <br />simulations required for a given degree of convergence determine the <br /> <br />efficiency and feasibility of this approach. No standard technique <br /> <br />for determining either the length or number of simulations presently <br /> <br />exists, and their determination has been labeled an art (Mize and Cox, <br /> <br />1968). <br /> <br />Factors affecting the total length of simulation required to obtain <br /> <br />convergence of system response are (1) the variability of the stochas- <br /> <br />tic inputs to the model (Me1entijevich, 1965); (2) the degree of <br /> <br />dependency or autocorrelation between observations within a simulation <br /> <br />run (Emshoff and Sisson, 1970); and (3) the degree of convergence <br /> <br /> <br />desired. <br />
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