My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
WMOD00192
CWCB
>
Weather Modification
>
Backfile
>
WMOD00192
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
7/28/2009 2:28:31 PM
Creation date
10/1/2006 2:15:32 PM
Metadata
Fields
Template:
Weather Modification
Applicant
Stauffer, Williams
Sponsor Name
Utah DWR
Project Name
Utah Cloud Seeding Runoff/Cost Analyses
Title
Utah Cloud Seeding Program Increased Runoff/Cost Analyses
Prepared For
Utah DWR
Prepared By
Norman E. Stauffer Jr., Kevin Williams
Date
2/1/2000
State
UT
Weather Modification - Doc Type
Report
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
16
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
Show annotations
View images
View plain text
<br />The High Uinta Mountain region has been seeded for only 2 years no\\'. There are <br />20 cloud seeding generators in the project area. Target and control regression analyses <br />indicates an average 5% increase in precipitation and an average 6% increase in April 1'1 <br />snow water content. <br />Table 2 shows a summary of the results for the project areas. <br /> <br /> Tabid. <br />Summary of Cloud Seeding Project Areas <br /> Number of Cloud Precipitation April I Snow <br /> Seeding Generators Seeded Increase during WalerContenl <br />Project Area 2003.2004 Season Years Seeding Period Increase <br />Central/Southern Utah 62 27 15% 4% <br />Tooele County 8 20 20% ]8% <br />East Box Elder/Cache County 2J 16 16% 10% <br />West Box Elder 10 12 SA 18% <br />WeslemUintas 14 10 1.3% 2.3% <br />lligh Uintas 20 2 5% 6% <br /> <br />Annual Runorr Estimated from April 1" Snow \Vater Content <br /> <br />April I st snow water content is often considered a predictor of the spring runoff 10 <br />come. Because spring runoff is a large percentage of annual runolT. snow water content <br />can also be a predictor of annual runoff. Regression equations were derived by relating <br />annual runofT 10 April I Sl snow water content. The snow watcr content was then increascd <br />by 10 pcrcent and thc equations were used to determine what the increase in annual <br />runoff would bc. <br />The 10 percent increase was chosen arbitrarily. It represents an easy reference to <br />relate expecled increases in runolT and is in the expected range of increased April 1'1 <br />snow water content due to cloud seeding. The actual increases in April IS! snow water <br />content are used in the following analysis to estimate the incrcase in nmotT for each <br />project area. Table 3 shows the gaged streamflow stations used for each projecl area. the <br />correlated SNOTEL/snow course stations. the regression equation correlation <br />coetlicients. and the percenl annual runolTincrease for a 10 percent increase in Aprillsl <br />snow water con lent. <br /> <br />6 <br />
The URL can be used to link to this page
Your browser does not support the video tag.