220 likes | 325 Views
CL EAN ER C ollaborative L arge-scale E ngineering A nalysis N etwork for E nvironmental R esearch. CLEANER Vision.
E N D
CLEANERCollaborative Large-scale Engineering Analysis Network for Environmental Research
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
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).
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)
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 SystemsAddress 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
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.
In situ Moveable Fixed Platform
Estuarine Monitoring and Modeling
An Integrated Analytical Framework for Environmental Science and Engineering (adapted in conjunction University of Illinois collaborations)
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, analysisand 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.
CLEANER Cyberinfrastructure • 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
LARGE-SCALE ENVIRONMENTAL CHALLENGES: THE ENGINEERING APPROACH • Objectives for an Engineering Analysis Network (EAN): • Extend knowledge base on anthropogenically-stressed, large-scale, 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.
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
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
CLEANER Rational • Analytical breakthroughs are now possible for high resolution spatial/temporal data collection, modeling, and analysis of environmental systems • Geographic scope should be nationwide • Data Sharing is important and worthwhile • New discoveries will transform the way Environmental Engineering/Science is conducted and Conveyed