Persistent Link:
http://hdl.handle.net/10150/225411
Title:
Seasonal Variation in Runoff Curve Number
Author:
Price, Myra Ann
Issue Date:
1998
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The seasonal variation in rainfall - runoff response is investigated for about 300 small watersheds throughout the United States. Data from USDA research watersheds were used to define runoff Curve Number for ordered data sets by months. Three major patterns of cyclic variation are found and investigated: 1) distinct and well - defined seasonal variations as typified by forested watersheds in heavy rainfall zones; 2) mildly cyclic variation found typically in meadows and grasslands, and 3) non - cyclic or unidentifiable patterns, including those with insufficient seasonal data. The only pattern that may be present is the well-defined seasonal variation found so far only in forested watersheds. Regional characteristics were found for individual crop types. For the watersheds studied there seemed to be no difference in the variation between crops except for meadow during the summer. Some associated background factors are explored, including long-term and short-term antecedent rainfall.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Runoff -- Measurement.; Runoff -- United States -- Mathematical models.; Watersheds -- United States -- Measurement.; Hydrology.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Renewable Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Hawkins, Richard H.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSeasonal Variation in Runoff Curve Numberen_US
dc.creatorPrice, Myra Annen_US
dc.contributor.authorPrice, Myra Annen_US
dc.date.issued1998-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe seasonal variation in rainfall - runoff response is investigated for about 300 small watersheds throughout the United States. Data from USDA research watersheds were used to define runoff Curve Number for ordered data sets by months. Three major patterns of cyclic variation are found and investigated: 1) distinct and well - defined seasonal variations as typified by forested watersheds in heavy rainfall zones; 2) mildly cyclic variation found typically in meadows and grasslands, and 3) non - cyclic or unidentifiable patterns, including those with insufficient seasonal data. The only pattern that may be present is the well-defined seasonal variation found so far only in forested watersheds. Regional characteristics were found for individual crop types. For the watersheds studied there seemed to be no difference in the variation between crops except for meadow during the summer. Some associated background factors are explored, including long-term and short-term antecedent rainfall.en_US
dc.description.notehydrology collectionen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectRunoff -- Measurement.en_US
dc.subjectRunoff -- United States -- Mathematical models.en_US
dc.subjectWatersheds -- United States -- Measurement.en_US
dc.subjectHydrology.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHawkins, Richard H.en_US
dc.contributor.committeememberGuertin, D. Phillipen_US
dc.contributor.committeememberLopes, Vicenteen_US
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