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Ohio River power curve regression equations
Author(s) -
Lee Larry J.,
Henson Bob L.
Publication year - 1977
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr013i006p01006
Subject(s) - sorting , regression analysis , regression , statistics , hydrology (agriculture) , mathematics , linear regression , power (physics) , environmental science , geology , geotechnical engineering , algorithm , physics , quantum mechanics
By the use of a statistical computer program, power curve regression equations and correlation coefficients were developed for as many river parameters as could be accurately quantified for the Ohio River. This was done with the expectation that these equations would be useful in sorting from the many river parameters those variables that are strongly related and would aid in predicting changes that the river might undergo as a result of the manipulative behavior of man. Results indicate that the equations developed may be useful for both purposes.