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dc.contributor.advisor Robison, E. George en
dc.contributor.author Bousfield, Gregg en
dc.date.accessioned 2008-04-28T21:55:59Z en
dc.date.available 2008-04-28T21:55:59Z en
dc.date.issued 2008-04 en
dc.identifier.uri http://hdl.handle.net/2148/330 en
dc.description Thesis (M.S.)--Humboldt State University, Natural Resources: Watershed Management, 2008 en
dc.description.abstract The vast majority of small watersheds in Northwest California lack stream gauge information. Understanding the high flow behavior of these watersheds is crucial for guiding resource managers in project planning. The purpose of this thesis was to develop a predictive relationship between precipitation and peakflow of streams draining small forested watersheds of the Northern California Coast Range. An antecedent precipitation index approach was developed for this purpose. The five selected watersheds are covered by coastal coniferous forests with drainage areas ranging from 0.4 to 34 km2. Streamflow and precipitation data from the South Fork of Caspar Creek was used to create the calibration model. Data from the North Fork of Caspar Creek, Hennington Creek, Little Lost Man Creek, and Freshwater Creek were used for independent model testing. The calibration linear regression model, predicting peakflow as a function of peak antecedent precipitation index, resulted in a r2 of 0.83 and a residual standard error of 1.20 L s-1 ha-1. When peakflow was predicted, using precipitation data from test watersheds, the results were fair to poor with average absolute prediction errors ranging from 28.6 to 66.3 percent. When the ten largest peakflows were predicted separately, the average absolute prediction errors were significantly lower at 10.2 to 44.9 percent. The model was positively biased at all test watersheds except Freshwater Creek. The root mean square error was within 15 percent of the calibration residual standard error at all test watersheds except Little Lost Man Creek. The variability in prediction accuracy could be explained by changing unit-discharge relationships, heterogeneous lithologies, different cumulative land management effects, and spatial variation in precipitation intensity. Prediction errors were the greatest for the smallest peakflows, which may be due to greater variation in interception rates during small rainfall events. The antecedent precipitation index approach outlined in this study is best suited for predicting larger rather than smaller peakflow events that may be influenced more by factors other than short-term rainfall history. en
dc.format.extent 2557716 bytes en
dc.format.mimetype application/pdf en
dc.language.iso en_US en
dc.publisher Humboldt State University en
dc.subject Antecedent precipitation index en
dc.subject Rainfall-runoff en
dc.subject Peakflow en
dc.subject Forested watershed en
dc.title Peakflow prediction using an antecedent precipitation index in small forested watersheds of the Northern California Coast Range en
dc.type Masters Thesis en
dc.description.program Watershed Management en


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