2010
DOI: 10.3133/sir20105052
|View full text |Cite
|
Sign up to set email alerts
|

Regional Regression Equations to Estimate Flow-Duration Statistics at Ungaged Stream Sites in Connecticut

Abstract: Multiple linear regression equations for determining flow-duration statistics were developed to estimate select flow exceedances ranging from 25-to 99-percent for six "bioperiods"-Salmonid Spawning (November), Overwinter (December-February), Habitat Forming (March-April), Clupeid Spawning (May), Resident Spawning (June), and Rearing and Growth (July-October)-in Connecticut. Regression equations also were developed to estimate the 25-and 99-percent flow exceedances without reference to a bioperiod. In total, 32… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
15
0

Year Published

2010
2010
2020
2020

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(16 citation statements)
references
References 6 publications
(6 reference statements)
1
15
0
Order By: Relevance
“…It is possible that I was able to discriminate among multiple effects due to the restricted time period of my analyses (1985–2015), whereas earlier models have used all available data. Predictive models for summer/July/August median flows and/or annual 7Q10 values have been developed by USGS for five of the six states in New England (Ries and Friesz ; Flynn ; Dudley , ; Ahearn ; Bent et al. ), but no models have been specifically developed for baseflows during summer months (New Hampshire models also include observations from Vermont, Maine, and Massachusetts).…”
Section: Discussionmentioning
confidence: 99%
“…It is possible that I was able to discriminate among multiple effects due to the restricted time period of my analyses (1985–2015), whereas earlier models have used all available data. Predictive models for summer/July/August median flows and/or annual 7Q10 values have been developed by USGS for five of the six states in New England (Ries and Friesz ; Flynn ; Dudley , ; Ahearn ; Bent et al. ), but no models have been specifically developed for baseflows during summer months (New Hampshire models also include observations from Vermont, Maine, and Massachusetts).…”
Section: Discussionmentioning
confidence: 99%
“…The Efroymson method is an automatic procedure for regression model selection when there are a large number of potential explanatory variables. The procedure is similar to forward selection, which tests basin characteristics one by one and identifies those that are statistically significant, except as each new basin characteristic is identified as being significant, partial correlations are checked to see if any previously identified variables can be deleted (Ahearn, 2010). When basin characteristics were found to be highly correlated to each other, only one basin characteristic at a time was tested in the Efroymson selection process.…”
Section: Ordinary-least-squares Regressionmentioning
confidence: 99%
“…To identify basin characteristics that are statistically significant for inclusion in the regression analyses, the Efroymson stepwise-selection method (Efroymson, 1960) was used to define potential explanatory variables from the list of 35 characteristics. The procedure is similar to forward selection, which tests basin characteristics one by one and identifies those that are statistically significant; however, as each different basin characteristic is identified as being significant, partial correlations are checked to see if any previously identified variables can be deleted (Ahearn, 2010). Highly correlated characteristics were included in the Efroymson selection method one at a time to avoid problems with multicollinearity.…”
Section: Final Regional Regression Equationsmentioning
confidence: 99%