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Last modified
1/26/2010 3:15:18 PM
Creation date
10/12/2006 4:36:41 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8449.860
Description
South Platte Projects - Metropolitan Denver Water Study
State
CO
Basin
South Platte
Date
1/1/1985
Author
USACOE
Title
Metropolitan Denver Water Supply Environmental Impact Statement - Appendix 2 - Future Water Demands Technical Review
Water Supply Pro - Doc Type
EIS
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<br />Table 2 <br />Modified Use Factor for the <br />City and County of Denver and the Suburbs <br /> <br />Use <br /> <br />City and County Suburban <br />of Denver Use Factor Use Factor Combined <br />_______________ gallons/unit/~_____ <br /> <br />SFM (Single- 550 <br />Family Metered) <br />(gallons/household/day) <br /> <br />469 <br /> <br />478 <br /> <br />P (Public) <br />(gallons/capita/day) <br /> <br />22 <br /> <br />9 <br /> <br />14 <br /> <br />THE USE FACTOR MODEL <br /> <br />Summary of Comments <br /> <br /> <br />Comments concerning the use factor model included a feeling that <br /> <br />the model was used to "predict" a predetermined demand. The accuracy <br /> <br />of the model in light of its inability to model SFF, MF, E, and P <br /> <br /> <br />sector water use on a district by district basis was also questioned. <br /> <br />Questions were raised regarding the assumptions used in estimating <br /> <br />water savings through natural replacement of old plumbing and appli- <br /> <br /> <br />ances, the estimation of demand reductions due to metering of unmetered <br /> <br /> <br />homes, and the marginal price of water in certain flat rate districts. <br /> <br /> <br />The inclusion of an intercept value in the use fac tor model was ques- <br /> <br /> <br />tioned. Numerous comments were received concerning the ability of the <br /> <br />use factor model to backcast data and the backcasting errors that were <br /> <br />made for individual districts. <br /> <br />Response <br /> <br /> <br />The COE has steadfastly maintained its independence and objectivi- <br /> <br /> <br />ty in preparing the Task 2 report. Assumptions were adopted and model- <br /> <br />ing techniques were selected with the objective of making as accurate a <br /> <br /> <br />forecast as possible. In so doing, the available data, the listed <br /> <br />20 <br />
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