HR: 1340h
AN: H13H-1410    [Abstracts]
TI: An Integrated Media, Integrated Processes Watershed Model of Various Temporal and Spatial Scales
AU: * Yeh, G
EM: gyeh@mail.ucf.edu
AF: University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816 United States
AU: Cheng, H
EM: Hwai-Ping.Cheng@erdc.usace.army.mil
AF: ERDC, US Army Corps, 3909 Halls Ferry Road, Vicksburg, MS 39180 United States
AU: Huang, G
EM: guobiao2002@yahoo.com
AF: Sutron Corp., 6903 Vista Parkway, West Palm Beach, FL 33411 United States
AU: Lin, H
EM: Hsin-Cji.J.Lin@erdc.usace.army.mil
AF: ERDC, US Army Corps, 3909 Halls Ferry Road, Vicksburg, MS 39180 United States
AB: In the past 30 years, lumped-parameter watershed models have been employed for integrated surface and groundwater modeling to calculate surface runoff and pollution loads on various temporal and spatial scales of hydrologic regimes. Physics-based, process-level models that have the design capability to cover various scales have been practically nonexistent until recently. It has long been recognized that only such models have the potential to further the understanding of the fundamental biological, chemical, and physical factors that take place in nature hydrologic regimes; to give mechanistic predictions; and most importantly to be able to couple and interact with weather/climate models. However, there are severe limitations with these models that inhibit their use. These are, among other things, the ad hoc approaches of coupling between various media and the excessive demand of computational time. This paper presents the development of an integrated media, integrated processes, first-principle, physics-based watershed model to address these issues. A rigorous coupling strategy is described for interactions among overland regime, rivers/streams/canals networks, and subsurface media. Introductions of non-physics parameters such as linkage terms are avoided. The cultivation of innovative numerical algorithms and the implementation of high performance computing to increase the computational speed by several orders of magnitude are discussed. Several examples are used to demonstrate the flexibility and efficiency of the model as applied to regional-level large scale and project-level small scale problems.
DE: 1805 Computational hydrology
DE: 1830 Groundwater/surface water interaction
DE: 1847 Modeling
DE: 1849 Numerical approximations and analysis
DE: 1879 Watershed
SC: Hydrology [H]
MN: Fall Meeting 2005