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Spatial scaling properties of annual streamflow in the United States
Authors:RICHARD M VOGEL  A SANKARASUBRAMANIAN
Institution:Department of Civil and Environmental Engineering , Tufts University , Medford, Massachusetts, 02155, USA E-mail: rvogel@tufts.edu
Abstract:Abstract

The spatial scaling properties of annual average streamflow is examined using records from 1 433 river basins across the continental United States. The log-linear relationship ln(EQr i]) = a + br ln(Ai) is representative throughout the United States, where EQr i] represents the expectation of the rth moment of annual streamflow at site i, and Ai represents drainage area. The scaling model parameters ar and br follow nearly perfect linear relationships ar = rα and br = rβ throughout the continental United States. We conclude that the probability distribution of annual streamflow follows simple scaling relationships in all regions of the United States. In temperate regions where climate is relatively homogeneous, scale alone describes most of the variability in the moments of annual streamflow. In the more climatically heterogeneous regions, such as in the Upper Colorado and Missouri river basins, scale alone is a poor predictor of the moments of annual flow.
Keywords:evaporation  evapotranspiration  irrigation  cloud screening  remote sensing  Makkink  Sonora  Mexico
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