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Abstract: Estimation
of time series of monthly streamflows at ungauged locations is of paramount importance
to many hydrologic projects and applications. This project uses leave-one-out
experiments to assess the relative performance of a few traditional, regional,
hydrostatistical prediction techniques at minimally-impacted streamflow gauges across
the United States. This project considers ... read morefour traditional flow-transfer techniques:
drainage-area ratios (DA), standardization by mean (SM), maintenance of variance
extension (MOVE) and the use of flow duration curves (QPPQ). Under idealized conditions,
all methods significantly outperformed the drainage-area ratio (DA). However, when the
flow-transfer techniques were combined with regional regression methods the relative
performances were significantly degraded. A weighting scheme is introduced, combining
the advantages of DA with the improved performance of MOVE or SM. This so-called
weighted average (WAve) offers significant advantages over the traditional drainage area
ratio techniques.
Thesis (M.S.)--Tufts University,
2012.
Submitted to the Dept. of Civil
Engineering.
Advisor: Richard
Vogel.
Committee: Kenneth Strzepek, and Stacey
Archfield.
Keywords: Hydrologic sciences, Water
resources management, and Environmental engineering.read less
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