HR: 16:00h
AN: H34B-01 INVITED     [Abstracts]
TI: Integrated, Multi-Scale Modeling for Process, Parameter and Policy Research at the River Basin Scale
AU: * Duffy, C J
EM: cxd11@psu.edu
AF: Penn State University, 212 Sackett Bldg Civil & Environmental Engineering, University Park, PA 16802 United States
AU: Qu, Y
EM: yuq100@psu.edu
AF: Penn State University, 212 Sackett Bldg Civil & Environmental Engineering, University Park, PA 16802 United States
AU: Kumar, M
EM: muk139@psu.edu
AF: Penn State University, 212 Sackett Bldg Civil & Environmental Engineering, University Park, PA 16802 United States
AB: A new strategy for large-scale integrated hydrological modeling is proposed, which reduces the governing partial differential equations (PDE's) to ordinary differential equations (ODE's) using the semi-discrete finite volume method (FVM). The distributed model is formed on an unstructured grid constructed from domain decomposition using Delaunay Triangulation. The finite volume elements are prisms, projected from an unstructured grid (triangular irregular network, TIN) with constraints. This approach results in a local ODE system referred to as the model kernel. The global ODE system is formed by assembling the local system over the chosen hydrologic domain. The constraints are related to the river network and the watershed boundary, elevation contours, geology, vegetation, etc. The system is solved with an efficient ODE solver. The model is designed to capture "dynamics" in multiple processes with a minimum of elements, while maintaining the conservation of mass at all cells, as guaranteed by the finite volume formulation. The complexity or dimension of the model is determined by the choice of support scale of the geospatial data and the purpose of the model. The present paper focuses on how integrated, multi-scale models can utilize qualitative characteristics of climate, vegetation, landuse, and hydrogeologic conditions for developing dynamic water management scenarios in ungauged or poorly gauged regions. A "simulation scenario" is presented showing how natural climate variation might affect seasonal, interannual and decadal recharge; and how climate change interacts with the time scales of water development policy decisions. The scenario is meant to show how the evolution of human water practice and natural climate variability in a river basin, together affect the long-term water balance in a river basin. The scenario also illustrates the importance of coupled models to the dynamics of complex human-hydrologic landscapes.
DE: 1655 Water cycles (1836)
DE: 1803 Anthropogenic effects
DE: 1833 Hydroclimatology
DE: 1836 Hydrologic budget (1655)
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting