Transcript EAN Collaborative Large-scale for Environmental Research E

CLEANER
Collaborative Large-scale
Engineering Analysis Network
for Environmental Research
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CLEANER Vision
• CLEANER is envisioned to be a collaborative
Engineering Analysis Network, using high
performance tools and infrastructure, to
transform our scientific understanding of
environmental change in Human Dominated
Ecosystems (HuDEs)….
• Statement of Vision Working Group: S. Long, Chair; P.
Brezonik, D. Scavia, D. DiToro, and N. Clesceri
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CLEANER Research Structure
CLEANER
EAN
RES
RES
RES
EFF EFF EFF
EFF EFF EFF
RES
EAN = Environmental Analysis Network
RES = Regional Environmental Systems
EFF = Environmental Field Facilities
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LARGE-SCALE
ENVIRONMENTAL CHALLENGES:
THE ENGINEERING APPROACH
Goal:
Devise engineering implementation options to
prevent and mitigate adverse impacts for informed
environmental resource management.
Approach:
A cybernetwork of Environmental Field (EFFs) for
problem-driven environments to facilitate and
coordinate research and synthesis across all EFFs
of the Regional Environmental System (RES).
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Examples of Regional
Environmental Systems Within the
EAN
• Major river basins (Mississippi River/Hudson
River).
• Major airsheds (Los Angeles/Denver)
• Major coastal waters (Gulf of Mexico/Long Island
Sound)
• Major estuary/bay (Chesapeake Bay/Santa Monica
Bay)
• Major groundwater aquifer (Southwest USA/Long
Island)
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THE CLEANER AGENDA
Engineering Analysis
Identify societal environmental issue
Analyze existing information (data mining) and critique existing
models
Formulate integrated assessment models and identify new theory and
data needs
Target Anthropogenically-stressed Environmental Systems
Address resources critical to economic productivity and human and
environmental well-being
Link RES activities and findings through the EAN
Engineering Implementation for Decision Support
Develop model forecasts from cause and effect relationships with
feedback controls
Integrate socioeconomic concerns and issues
Provide engineering options for transforming the targeted systems
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CLEANER APPROACH
• Assessment of anthropogenic processes on
HuDEs,
• Multi-media (air, soil, water),
• Linkage of environment to Civil
Infrastructures,
• Linkage of environmental observations to
security and defense applications,
• Impact of global change on a regional scale.
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List Of CLEANER Planning Grants
Principal Investigator
Institution
Title
Ball, William
Johns Hopkins University
DiToro, Dominic
University of Delaware
Gross, Thomas
Chespke Res Consrtium Inc
Kemp, William
U of MD Ctr Environ Scs
Bonner, James
Texas Engineering Exp Sta
Jones, Kimberly
Howard University
Love, Nancy
VA Polytechnic Inst & St U
Wentling, Tim
U of Ill Urbana-Champaign
Zaslavsky, Ilya
U of Cal San Diego
Collaborative Research: Collaborative large-Scale Engineering Analysis
Network for Environmental Research for the Coastal Margin
Eheart, J. Wayland
U of Ill Urbana-Champaign
Cyberinfrastructure and Management System Development for the
National CLEANER Network
Fernando, Harindra
Arizona State University
MEASURES: A Proof of Concept Demonstration [Multi-scale
Environmental Analysis in Urban and Regional Ecosystems
Harmon, Thomas
U of Cal - Merced
Planning a Multiscale Sensor Network to Observe, Forecast and Manage
Hondzo, Miki
U of Minnesota-Twin Cities
Planning for a Full-Scale CLEANER: Options for Field Facilities and
Cyberinfrastructure in America's Heartland
Collaborative Research: Concept Development toward a Collaborative
Large-Scale Engineering Analysis Network for Environmental Research
(CLEANER) with Focus on the Chesapeake Bay
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List Of CLEANER Planning Grants
Principal Investigator
Institution
Title
Pancake, Cherri
Oregon State University
Developing IT and Coordination Architectures for CLEANER
Peirce, J. Jeffrey
Duke University
Prudhomme,
Thomas
U of Ill Urbana-Champaign
Collaborative Research: Developing a Plan for a CLEANER Neuse River
Basin in North Carolina
Reckhow, David
U of Massachusetts Amherst
Plan for the Blackstone River EFF and the next Generation
Cyberinfrastructure
Sanderson, Arthur
Rensselaer Polytech Inst
Bell, Robin
Columbia University
Collaborative Research: Riverscope: Large Scale Engineering Analysis
Network For Environmental Research on the Hudson River
Schnoor, Jerald
University of Iowa
A Large-Scale Environmental Research and Analysis Network of the Upper
Mississippi River Basin (UMRB) for Hydrology, Sediments, Nutrients,
and Emerging Chemical Contaminants
Welty, Claire
U of MD Baltimore County
Piasecki, Michael
Drexel University
Collaborative Research (CLEANER): Cyberinfrastructure Needs for a
Model Environmental Field Facility in Baltimore, Maryland as Part of
an Engineering Analysis Network
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In situ
Moveable
Fixed
Platform
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Estuarine Monitoring
and Modeling
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Platform Schematic of Network Architecture
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An Integrated Analytical Framework for Environmental Science and
Engineering (adapted in conjunction University of Illinois collaborations)
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CLEANER INCORPORATES THREE
DATA ASPECTS
Acquisition
Network of environmental f ield facilities highly instrumented for
innovative monitoring and real-time analysis of environmental data from
anthropogenically-stressed regions.
Analysis
Environmental cyberinfrastructure to enable a virtual repository of data
and information technology for engineering modeling, analysis and
visualization of data.
Sharing
Collaboratories for multidisciplinary research and education among
engineers, natural and social scientists, educators, policy makers,
industry, non-governmental organizations, the public, and other
stakeholders directed toward the protection, remediation and restoration
of stressed environments, and sustainability of environmental resources.
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CLEANER Cyberinfrastructure
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Sensors and Sensor Networks
Modeling and Simulation
Database and Visualization
Decision Technologies and Adaptive
Management
• Report of Research Plan Working Group A. Costello,
Chair; K. Reckhow, A. Sanderson, W. Krajewski, J. Culbertson
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Thanks
Questions
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LARGE-SCALE
ENVIRONMENTAL CHALLENGES:
THE ENGINEERING APPROACH
Objectives for an Engineering Analysis Network (EAN):
• Extend knowledge base on anthropogenically-stressed, largescale, geographically-distributed systems/regions (RES).
• Foster and exploit new developments in information sensing,
imaging, transmission, storage, processing, and visualization.
• Quantify fluxes of materials and energy, from anthropogenic
impacts, and their progression over time.
• Identify hierarchies (scale and complexity) of environmental
systems and their linkages through integrated assessment models
for engineering implementation.
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Funding Strategies
• Traditional – Independent PI/work group
• Incremental – collaborative proposals,
piecing together existing NSF programs that
establishes a skeleton network
• Phased – CUAHSI model – where we add
nodes in a phased approach
• MREFC approach with subsequent core
funding
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Role of Collaboratories
• Enhance model formulation with critique from industry,
policy makers, the academic community, non-governmental
organizations, the public, and other stakeholders.
• Identify insufficiencies in model forecasts.
• Involve local and regional expertise in materials flow
accounting and analysis of perturbations from urbanization,
transportation, land use, and product and process life-cycle
assessment, including pollution prevention.
• Result in educational advances and improved public
information especially as an “early warning” for system
contamination and upset.
PEOPLE
IDEAS
TOOLS
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CLEANER Rational
•
Analytical breakthroughs are now possible for high
resolution spatial/temporal data collection,
modeling, and analysis of environmental systems
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Geographic scope should be nationwide
•
Data Sharing is important and worthwhile
•
New discoveries will transform the way
Environmental Engineering/Science is conducted
and Conveyed
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