watershed modeling for improved surface water predictions in the tennessee and mobile bay basins
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Watershed Modeling for Improved Surface Water Predictions in the Tennessee and Mobile Bay Basins. Jairo N. Diaz, William H. McAnally, James L. Martin, John H. Cartwright, Vladimir J. Alarcon, and Mary L. Tagert Alabama Water Resources Conference Orange Beach, September 6-7, 2007. - PowerPoint PPT PresentationTRANSCRIPT
Watershed Modeling for Improved Surface Water Predictions in the
Tennessee and Mobile Bay Basins
Jairo N. Diaz, William H. McAnally, James L. Martin, John H. Cartwright, Vladimir J. Alarcon, and
Mary L. Tagert
Alabama Water Resources ConferenceOrange Beach, September 6-7, 2007
Objectives
• Introduce the Northern Gulf Institute (NGI)
• Introduce three projects focused on Mobile river basin
• Report on the progress and conclusions of these projects to date
• Solicit input on basin data and resource management needs
Northern Gulf Institute (NGI)
A NOAA-sponsored cooperative institute led by Mississippi State University in partnership with:
University of Southern Mississippi
Louisiana State University
Florida State University
Dauphin Island Sea Lab
http://www.ngi.msstate.edu/
Northern Gulf Institute (NGI)
• NGI Themes– Ecosystem Management– Geospatial Data Integration and Visualization– Climate Change & Variability– Coastal Hazards
• Common to Themes– Water Quantity– Water Quality– Ecosystem Responses– Tools Needed– Basin-wide Perspective
Three 1st Year Projects Focused on Mobile Basin
• Watershed Modeling Improvements to Enhance Coastal Ecosystems
• Spatial Technology and High Performance Computing - Improving Water Quality Prediction
• Modeling Mobile Bay Sediments and Pollutants with New Technologies
Study Area
Mobile Bay
Courtesy of Tim Wool EPA Region 4
Mobile Bay
• Drains waters in 4 states: AL, GA, MS, TN with 7 major subbasins and 32 8-Digit HUCs
• 6th largest basin in the U.S. (based on area) at 44,000 square miles; 350 miles long with a maximum width of 250 miles
• Shipping channel in the middle of the bay and heavy barge traffic into Mobile, AL and upstream transport of coal and goods
People
• Investigators– Civil and Environmental Engineering (4)– Biology (1)– Landscape and Geospatial (3)– USACE Vicksburg (3)
• Graduate Students– Civil and Environmental Engineering (4 master, 2
Ph.D.)– Computer Sciences (1 master)– Biology (1 Ph.D.)
Watershed Modeling Improvements to Enhance Coastal Ecosystems
• Goal– Decision support for resource management agencies
improved watershed-wide– Investigate additional data products to improve the
performance of the BASINS models
• Plan– Fully engage Mobile Basin stakeholders and
technology partners– Water budget for the Basin– Validated watershed models using standard models
and inputs
Watershed Modeling Improvements to Enhance Coastal Ecosystems
Stakeholder and Resource Agency Meetings
• May 2007– EPA and Tetra Tech modelers (HSPF, WASP, and EFDC)
• June 2007 – Deputy Director of the Mobile Bay National Estuary Program– Technical Interagency Committee (TIC) Members for The Alabama Coastal Area
Management Program– USACE modelers (WMS, GSSHA, SMS, CEQUAL-W2)– EPA and Tetra Tech modelers (Grid Based Mercury Model - GBMM) – Dauphin Island Sea Lab modelers (EFDC)– USACE Regional Sediment Management Team
• July 2007– Big Black/Tenn Tom Basin Coordinator for MDEQ
• August 2007– Alabama Department of Environmental Quality
Watershed Modeling Improvements to Enhance Coastal Ecosystems
• Hydrologic Simulation Program FORTRAN (HSPF)– Conceptual model (water balance + empirical
relations)– Lumped parameter model (homogeneous areas)– Water quantity and water quality simulations– Event and continuous simulations– Supported by EPA– Evaluated in U.S., Europe, Africa, Caribbean, Asia
Watershed Modeling Improvements to Enhance Coastal Ecosystems
• Study areas:– Luxapallila Creek Watershed
– Mobile River Watershed
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Luxapallila Creek Watershed
• Summary of the Luxapallila Creek simulation studies using the HSPF model – Hydrology and water quality (sediments, DO, WT)– Land use databases (MODIS, GIRAS, NLCD)– Rainfall databases (gauge and radar)– Topographic databases (300 vs 30 mts resolution)– Parameter uncertainty (Monte Carlo simulation and
Probabilistic Point Estimate Methods – Harr and Li)– Parameter sensitivity (Monte Carlo Simulation)– Channel property variability (RF1 and USGS data)– Potential evapotranspiration data sensitivity
Luxapallila Creek Watershed
• Application of the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model
physically base
distributed-parameter model
supported by the USACE
DEM
Soils
Land Use
Grid
Grid
Mobile River Watershed
Rainfall spatial distribution using Thiessen polygons
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54 Sub-basin delineation and USGS flow stations
Spatial Technology and High Performance Computing - Improving Water Quality Prediction
Goal: Develop and demonstrate advanced technologies to predict water quality impacts of management actions.
3-D Models
HPC
GIS
Integrated Solutions
HPC
GIS
3-D Models
Graphics by GRI, NASA, and USACE
Modeling Mobile Bay Sediments and Pollutants with New Technologies
Goal: A management model for sediment, mercury and DDT in Mobile Bay and Tributaries.
Clay flocs (above) sorb contaminants. NASA Image
Summing Up
• Three interlocking projects on Mobile Basin
• Goal: Contribute to better water resources management in the basin – More and better observed data– Improved models– Improved data analysis and
visualization– System-wide perspective
HPC
GIS
3-D Models
Solicit Input
• Basin data needs?
• Resource management needs?
Questions!
Contact Information
William H. [email protected]
James L. [email protected]
Jairo N. [email protected]
http://www.ngi.msstate.edu/