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Spatial Statistical Power Laws in Flood Prediction

Hydro-Kansas project explores spatial statistical power laws in floods, testing the hypothesis that self-similarity of channel networks underpins power laws. Led by a team including Vijay Gupta and Hari Rajaram, the study conducts empirical diagnosis of predicted power laws at the hillslope-link scale. Collaborating institutions are University of Colorado, University of Iowa, USGS, DOE ACRF, and University of New Mexico.

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Spatial Statistical Power Laws in Flood Prediction

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  1. Hydro-Kansas Project:Prediction of spatial statistical power laws in floods and RET from conservation equations and physical processes at the hillslope-link scale on a terrain People: Vijay Gupta, Hari Rajaram, Bruce Milne, Brent Troutman, Witold Krajewski, Anton Kruger, William Eichinger and othersInstitutions: University of Colorado, University of Iowa, USGS, DOE ACRF, University of New Mexico

  2. Main Objective:Testing the hypothesis that the physical basis of power laws in floods has its origin in the self-similarity of channel networksMethodology:Empirical diagnosis of the predicted power laws

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