Thesis (M.S.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains vi, 67 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 65-67).

Thesis (M.S.)--University of Wyoming, 2008. / Title from PDF title page (viewed on June 25, 2009). Includes bibliographical references (p. 24-25).

Thesis (Ph.D.)--University of Nebraska-Lincoln, 2009. / Title from title screen (site viewed January 12, 2010). PDF text: vii, 138 p. : ill. (come col.) maps (some col.) ; 2 Mb. UMI publication number: AAT 3360089. Includes bibliographical references. Also available in microfilm and microfiche formats.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (M. Eng.)--Colorado School of Mines, 1993. / Thesis advisor: Eileen Poeter, Dept. of Geology and Geological Engineering. Includes bibliographical references (leaves 93-97). Includes bibliographical references (p. 93-97). Also available in print version.

Using three years of daily streamflow and meteorological data from the Similkameen watershed at Princeton, B.C., the model parameters of the existing deterministic UBC Budget Model are evaluated. With these model parameters and the available meteorological data, the synthetic streamflow sequences are generated for the other seven years for the Similkameen watershed. These are subsequently compared with the actual flows. A separate statistical stochastic model is developed by using the spectral analysis, and the three years of the same daily flows are decomposed into 30 sub-harmonics or Fourier coefficients. By interpolating the Fourier coefficients and by estimating the anticipated mean annual flows from the snowpack data at Blackwall Peak, the synthetic traces of the daily streamflow sequences are simulated for the other seven years. A first order Markovian model is used to explain the random component. The comparative study is then carried out between the actual daily streamflow sequences and those generated by the deterministic UBC Budget Model and the stochastic spectral model. In comparison with the stochastic spectral model, good fits are obtained with the fixed model parameters of the UBC Budget Model for the sequence of peaks for the simulated hydro-graphs of the intervening years. Since the winter melt factor in the UBC Budget Model was assumed to be a constant for this analysis, some errors occur between the actual and the generated cumulative volumes. With the deterministic periodic component of the spectral model, the reconciliation between the cumulative volumes is fairly well maintained. Since the role of operational hydrology is not concerned with the prediction of actual flows, the stochastic spectral model should be judged on its ability in presenting the designer with a series of synthetic traces that are likely to occur during the lifetime of a particular project. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

Two independent hydrologic research projects, the development of (1) a research watershed system and (2) a streamflow prediction model, were carried out. The first project was primarily a field instrumentation task involving both design and implementation of a system of research watersheds. Two small (50 acre) research watersheds which may become either representative or experimental in nature were initiated within the University of British Columbia Research Forest. A larger research watershed system was described which could include the Alouette River Watershed. This system of watersheds when subjected to more rigorous experimental procedures should yield valuable, management and conservation design criteria for Pacific Coast forested regions. The second project was primarily analytic in nature, employing the use of multiple regression and a digital computer. A computer program was developed which models the snowmelt streamflow of large watersheds in a manner which makes short term prediction of the streamflow possible. The prediction variables were temperature recorded at a single centrally located station, time and streamflow recorded at the outlet from the watershed. The model predicted flood flow one to five days in advance of measured streamflow for the Fraser River Watershed (78,000 square miles in area) during the spring runoff period of 1955 and 1964. This model required calibration at the beginning of each spring runoff period. / Science, Faculty of / Resources, Environment and Sustainability (IRES), Institute for / Graduate

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This thesis defines a methodology for the evaluation of the worth of streamflow data using a Bayes risk approach. Using regional streamflow data in a regression analysis, the Bayes risk can be computed by considering the probability of the error in using the regionalized estimates of bridge or culvert design parameters. Cost curves for over- and underestimation of the design parameter can be generated based on the error of the estimate. The Bayes risk can then be computed by integrating the probability of estimation error over the cost curves. The methodology may then be used to analyze the regional data collection effort by considering the worth of data for a record site relative to the other sites contributing to the regression equations. The methodology is illustrated by using a set of actual streamflow data from Missouri. The cost curves for over- and underestimation of the streamflow design parameter for bridges and culverts are hypothesized so that the Bayes risk might be computed and the results of the analysis discussed. The results are discussed by demonstrating small sample bias that is introduced into the estimate of the design parameter for the construction of bridges and culverts. The conclusions are that the small sample bias in the estimation of large floods can be substantial and that the Bayes risk methodology can evaluate the relative worth of data when the data are used in regionalization.