HR: 1340h
AN: H33C-0476    [Abstracts]
TI: Multiscale Trend Analysis of River Basin Dynamics
AU: Foufoula-Georgiou, E
EM: afi@umn.edu
AF: National Center for Earth-surface Dynamics (NCED) St. Anthony Falls Laboratory, University of Minnesota Mississippi River at 3rd Avenue SE, Minneapolis, MN 55414 United States
AU: * Zaliapin, I
EM: zal@ess.ucla.edu
AF: Institute of Geophysics and Planetary Physics, 3845 Slichter Hall University of California, Los Angeles, CA 90095 United States
AU: Dodov, B
EM: dodo0001@tc.umn.edu
AF: National Center for Earth-surface Dynamics (NCED) St. Anthony Falls Laboratory, University of Minnesota Mississippi River at 3rd Avenue SE, Minneapolis, MN 55414 United States
AB: Storm runoff hydrographs are the signature of a basin's dynamics to a given precipitation forcing. As such, their study across basins and over a range of scales offers the opportunity to detect and quantify nonlinearities and scaling laws in river basin dynamics. Manual extraction of hydrograph characteristics (e.g., time to peak, relaxation time and peak magnitude) however, is tedious and has prevented extensive regional analyses of such observations for the purpose of scaling and regionalization. In this paper, (1) we propose a new methodology, called multiscale trend analysis (MTA) for the automatic and reliable extraction of hydrograph characteristics from hourly or finer scale streamflow series, and (2) we report the results of a regional multiscaling analysis of hydrologic response characteristics from 31 stations for drainage areas ranging from 10 to $10^4$ km$^2$ over the Kansas/Oklahoma region. Our results suggest the presence of statistical multiscaling in hydrologic response characteristics and a change of scaling regimes at a scale of approximately 700 km$^2$. We relate this scale to the scale at which channel morphometry properties, fluvial regimes, and statistical properties of floods also change and highlight the interconnection of physical processes and statistical laws in river basin dynamics.
DE: 1800 HYDROLOGY
DE: 1860 Runoff and streamflow
DE: 1869 Stochastic processes
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting