HR: 1340h
AN: H33D-0489    [Abstracts]
TI: Better Insight Into Water Resources Management With Integrated Hydrodynamic And Water Quality Models
AU: * Debele, B
EM: bd58@cornell.edu
AF: Cornell University, Biological and environmental engineering, Riley-Robb, 235, Ithaca, ny 14853 United States
AU: Srinivasan, R
EM: r-srinivasan@tamu.edu
AF: Texas A&M university, Spatial sciences lab, centq bldg, suite 221E, College station, tx 77845 United States
AU: Parlange, J
EM: jp58@cornell.edu
AF: Cornell University, Biological and environmental engineering, Riley-Robb, 235, Ithaca, ny 14853 United States
AB: Models have long been used in water resources management to guide decision making and improve understanding of the system. Numerous models of different scales -spatial and temporal - are available. Yet, very few models manage to bridge simulations of hydrological and water quality parameters from both upland watershed and riverine system. Most water quality models, such as QUAL2E and EPD-RIV1 concentrate on the riverine system while CE-QUAL-W2 and WASP models focus on larger waterbodies, such as lakes and reservoirs. On the other hand, the original SWAT model, HSPF and other upland watershed hydrological models simulate agricultural (diffuse) pollution sources with limited number of processes incorporated to handle point source pollutions that emanate from industrial sectors. Such limitations, which are common in most hydrodynamic and water quality models undermine better understanding that otherwise could be uncovered by employing integrated hydrological and water quality models for both upland watershed and riverine system. The SWAT model is a well documented and verified hydrological and water quality model that has been developed to simulate the effects of various management scenarios on the health of the environment in terms of water quantity and quality. Recently, the SWAT model has been extended to include the simulation of hydrodynamic and water quality parameters in the river system. The extended SWAT model (ESWAT) has been further extended to run using diurnally varying (hourly) weather data and produce outputs at hourly timescales. This and other improvements in the ESWAT model have been documented in the current work. Besides, the results from two case studies in Texas will be reported.
DE: 1871 Surface water quality
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting