Digital Watershed Intelligent River
PSA Remote Data Acquisition Network Planning Committee
Linking Water, Land Use, Energy, and Global Climate
ChangeResearch Funding Sponsor:
Digital Watershed Intelligent River
•Land, water, and energy are being impacted by unsustainable human demands. •Evidence is mounting that competing demands for water resources worldwide are resulting in both economic and ecological challenges. •This explosive demand is caused by population growth, economic development, and coastal urbanization.
Watershed-scale river experiments are needed to define ecosystem needs for informed policy development
Our nation’s watersheds are at risk
The Research Drivers:
DroughtNon-point source
pollutantsMicro-pollutants
BiodiversitySustainability
Economy Ecology
Digital Watershed Intelligent River
Water quantity and quality will determine economic vitality and future patterns of economic growth.
Is it time to shift the water resources management paradigm to the digital watershed and intelligent river?
Water Policy will shape the Economic Future of South Carolina
Digital Watershed Intelligent River
•real-time data will be necessary to optimize water withdrawal, wasteload allocation, and hydropower generation while preserving the ecology of our rivers and streams
•remote data acquisition system will be essential to establish long-term water quality trends, monitor flow, track land-use changes, document pollution impacts, and effectively manage major rivers using real-time data
Within the next decade
Digital Watershed Intelligent River
Cyber Infrastructure: Remote Monitoring Initiative6 December 200716 November 2007 PSA Remote Data Acquisition
Network Planning CommitteeLinking Water, Land Use, Energy, and Global Climate Change•Bannockburn Project – Baruch•Savannah River Project – 200 River Mile SRAR Collaboration•Clemson Forest – Lake Issaqueena
Source: WATERS Network cyberinfrastructure, NSF
Digital Watershed Intelligent River
How do we link watershed research throughout the state
Digital Watershed Intelligent River
Bannockburn
Clemson University Cyberinfrastucture Network
Savannah River
Lake Issaqueena
Digital Watershed Intelligent River
Demonstration Project: Savannah River
Digital Watershed Intelligent River
Continuous Physical Parameter Monitoring Specific Conductance
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20
40
60
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120
1/4/2006 0:00 1/5/2006 0:00 1/6/2006 0:00 1/7/2006 0:00 1/8/2006 0:00 1/9/2006 0:00 1/10/2006 0:00 1/11/2006 0:00 1/12/2006 0:00 1/13/2006 0:00
us/
cm2
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6000
8000
10000
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cfs
Betty NA 520 Nutra Stan DS VogUp VogDow n Flow
SensorsNetworksMetadataSecurityAnalysisVisualizationEducationCollaborationData Sharing
Clemson University Center for Watershed Excellence
Betty’s Branch
Stevens Creek
North Augusta
Augusta Diversion Dam
Horse Creek
Nutrasweet
NSB Lock & Dam
I520
Stan’sButler Creek
Downstream
International Paper
Below IP
Vogtle Upstream
Vogtle Downstream
301
Brier Creek
Clyo•Continuous Physical Parameters•Monthly Chemical and Biological Monitoring
Technology-based Lagrangian Scheme
JST Dam
Digital Watershed Intelligent River
Integrated Water Quality/Water Quantity Models
Savannah River Water QualityModel Components
ImpoundmentsDam ReleaseCanal Operations
Point Source Discharges
Stream Discharge
Non-Point Source Discharges
Stochastic Events
Atmospheric Deposition
EvaporationTranspiration
Water Withdrawal
Interbasin Transfers
Municipality
Industry
AgricultureForestry ConstructionGroundwater
Digital Watershed Intelligent River
Demonstration Project: Bannockburn
Digital Watershed Intelligent River
Hydrologic and Water Quality Monitoring
Water level recorders Open canopy rain gages Flow gages for culverts
Event-based samplingSoil moisture and water table measurements
Clemson University Center for Watershed Excellence
Forest Visualization
SensorsNetworksMetadataSecurityAnalysisVisualizationEducationCollaborationData Sharing
Digital Watershed Intelligent River
The Belle W. Baruch Institute of Coastal Ecology and Forestry SciencePISCES: Program of Integrated Study for Coastal Environmental Sustainability
Clemson University Center for Watershed Excellence
SensorsNetworksMetadataSecurityAnalysisVisualizationEducationCollaborationData Sharing
Digital Watershed Intelligent River
PSA Remote Data Acquisition Task ForceGene Eidson, Chair, Jeff Allen, Bob Becker, Nathan Bohlmann, Richard Brooks, William Conner, Sam Esswein, Jill Gemmill, Sebastien Goasguen, John Hains, Jason Hallstrom, Dan Hitchcock, Anand Jayakaran, Tim Kelly, Steve Klaine,, Larry Murdoch, Chris Post, Bruce Rafert, Cal Sawyer, Dan Schmiedt, Bo Song, Steve Stevenson, KC Wang, Caroline Weilhamer, Mike Weilhamer, and Oscar Flite, SNSA, Ralph Nichols, SRNL
Project Managers and Task ForcePSA Remote Data Acquisition Project Managers
PROJECT RESOURCE INFORMATION
Project Manager Tim Howard Project Sponsor Gene Eidson
Business Units Involved Core Team Members (FTE) Role Responsible Manager
PSA Jon Van Bergen PSA Project Coordinator Gene Eidson
PSA Cal Sawyer CWE Project Manager Gene Eidson
PSA Chris Post Project Technical Leader
CITI David White CITI software implementation Jill Gemmill
CRLT Tim Howard Project Manager Carla Rathbone
PSA Will Conner/Dan Hitchcock Bannockburn Project Manager
PSA/SNSA Gene Eidson/Oscar FliteSavannah River Project Manager
PSA Steve KlaineClemson Forest/CLUE Project Manager