Regression: Difference between revisions
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“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" /> | “The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.<ref name="NEH210-630-20" /> | ||
==Best Practices Resources== | ==Best Practices Resources== | ||
{{Document Icon}} [[ | {{Document Icon}} [[Guidelines for Determining Flood Flow Frequency (Bulletin 17C)|Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)]] | ||
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Revision as of 00:44, 17 September 2022
“In some areas, special studies have been conducted to develop multiple regression equations to predict water yield from precipitation and watershed characteristics... The equations from these studies, however, are location specific and should not be used in any other areas. Local experts should be consulted for information on the existence and applicability of regional equations”.[1]
“The most important variable in the regression equations is precipitation; therefore, the key to using this method is to have a good estimate of watershed average precipitation for the time period of interest”.[1]
Best Practices Resources
Guidelines for Determining Flood Flow Frequency (Bulletin 17C) (United States Geological Survey)
Citations:
Revision ID: 3640
Revision Date: 09/17/2022