Grantee Research Project Results
2000 Progress Report: Mechanistic-based Watershed Modeling for Evaluation of Ecosystem Conditions
EPA Grant Number: R827956Title: Mechanistic-based Watershed Modeling for Evaluation of Ecosystem Conditions
Investigators: Yeh, Gour-Tsyh
Current Investigators: Yeh, Gour-Tsyh , Schayek, Lily , Gwo, J. P.
Institution: University of Central Florida
Current Institution: Pennsylvania State University
EPA Project Officer: Packard, Benjamin H
Project Period: January 10, 2000 through September 30, 2003 (Extended to September 30, 2005)
Project Period Covered by this Report: January 10, 2000 through September 30, 2001
Project Amount: $888,637
RFA: Computing Technology for Ecosystem Modeling (1999) RFA Text | Recipients Lists
Research Category: Environmental Statistics
Objective:
The major tasks of this research project include: (1) improvement in robustness and accuracy of WASH123D; (2) visualization/user interface with selected modeling environments; (3) high performance computing with several hardware architectures; and (4) verification and validation of numerical modeling software.Progress Summary:
For Task 1, the mathematical formulation of flow equations in the form of characteristic variables has been completed. Equations governing all species of reactive chemicals have been transformed to the transport of total components and kinetic variables and the mass action. Numerical approximations of these governing equations have been initiated. Several subroutines to implement rigorous boundary conditions for junctions, internal structures such as weirs and gate, and pumping have been completed.The development of innovative numerical algorithms based on the adaptive local grid refinement and the local adjoin method has begun. Preliminary investigations with one-dimensional cases have resulted in mass-conserved, accurate, and efficient advection-diffusion solvers. Their extension to two-dimensional and three-dimensional problems will be carried out in FY 2001.
Under Task 2, the development of pre- and post-processing for WASH123D using the Department of Defense Watershed Modeling System has begun. This work is a collaborative effort between the PI and the Waterway Experiment Station, U.S. Army Corps of Engineers, at Vicksburg, Mississippi. The possible adaption of WASH123D to EPA's BASIN and Multimedia Integrated Modeling System (MIMS) is being investigated. A finite element grid generator required for a successful integration of WASH123D with BASIN and MIMS (or other environmental model systems developed at Argonne National Laboratory, such as DIAS) is being assembled. The development of graphical interfaces for importing GIS and DEM data to WASH123D has been initiated.
Under Task 3, the subcontract to Dr. J. P. Gwo, University of Maryland, to implement parallel algorithms in WASH123D under a variety of hardware architectures is being prepared. Dr. Gwo should start the parallel implementation of WASH123D once the subcontract is in place.
For Task 4, the MOC method to model river dynamics and overland runoff with fully dynamic wave approaches has been implemented in WASH123D. A verification with a standing wave problem has been performed.
The review of databases in Christina basin, DE, for the validation of WASH123D has been completed. The development of scripts to manipulate these data for adequate input to WASH123D using GIS under the AVENUE has begun.
Future Activities:
Under Task 1, efforts will continue on the development of innovative numerical algorithms based on the adaptive local grid refinement and the local adjoin method. Investigations with two-dimensional and three-dimensional problems will be carried out in FY 2001. For Task 2, work will continue on the development of graphical interfaces for importing GIS and DEM data to WASH123D. Under Task 3, Dr. Gwo will start the parallel implementation of WASH123D once the subcontract is in place. For Task 4, we will continue the development of scripts to manipulate the data for adequate input to WASH123D using GIS under the AVENUE.Journal Articles on this Report : 1 Displayed | Download in RIS Format
Other project views: | All 51 publications | 12 publications in selected types | All 7 journal articles |
---|
Type | Citation | ||
---|---|---|---|
|
Zhang F, Jiang L, Yeh GT, Parker JC. An adaptive local grid refinement and peak/valley capture algorithm to solve nonlinear transport problems with moving sharp-fronts. Transport in Porous Media 2008;72(1):53-69. |
R827956 (2000) R827956 (2003) |
Exit Exit |
Supplemental Keywords:
watershed modeling, first principle-based model, numerical modeling, fully dynamic wave, surface runoff, subsurface flow, river hydrodynamics, reactive chemical transport, sediment transport, high performance computing., RFA, Scientific Discipline, Toxics, Waste, Water, Ecosystem Protection/Environmental Exposure & Risk, Hydrology, Nutrients, Ecology, Contaminated Sediments, Mathematics, Environmental Chemistry, Ecosystem/Assessment/Indicators, Ecosystem Protection, Chemistry, pesticides, Fate & Transport, computing technology, Wet Weather Flows, Biology, Ecological Indicators, hydrological stability, aquatic ecosystem, nutrient transport, ecosystem modeling, fate and transport, ecological exposure, high performance computing, computer simulation model, streams, watershed, mechanistic based watershed modeling, ecological modeling, sediment transport, contaminated sediment, ecosystem evaluation, numerical models, sediment, mechanistic-based watershed modeling, watershed modeling, industrial chemicals, tidal influence, computer science, tidal water bodies, microbial pollution, numerical model, bioindicators, subsurface media, component-based software, information technology, water quality, lake ecosystemsProgress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.