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BUILDING STRONG®
Ecological Modeling Workshop USACE ERDC Science and Technology Direction and Solutions
Dr. Beth Fleming USACE ERDC CW Business Area Lead Director, USACE ERDC Environmental Laboratory 30 July 2012
US Army Corps of Engineers BUILDING STRONG®
BUILDING STRONG®
Overview Why is Ecological Modeling Important?
► Environmental Quality Future Directions ► Civil Works R&D Vision and Strategic Plan
Ecological Modeling, Goals, and Objectives Direct Funded Research (a subset)
► System Wide Water Resources Program (SWWRP) ► Systems Thinking ► Engineering with Nature (EWN) ► Ecosystem Goods and Services (EGS)
Applied Technology Solutions
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Biosciences
Computational Materials Science
Computational & Green Chemistry
Operationalizing Sustainability
Academia Warfighters
Collaborators - Stakeholders - Partners Synergized and Aligned Technology
Solutions
Emerging Science
Army Green – Army Strong
Nanosciences
EcoDynamics
Sustainable Army Ranges & Lands
Resilient Facilities & Infrastructure
Science & Risk Based Decision Analysis
Net-Zero Operational and Installation Footprint
Reduced Liabilities/ Total Ownership Costs
Government Labs
Industry Network Science
• Stability Operations
• Homeland Defense
• Fixed Installations
• Forward Operating Bases
Advance and Exploit Science & Technology to Maximize the Long-Term Contributions of Built and Natural Environments to Readiness & Operational Success
Secure & Scalable Energy Systems
Innovation – Development – Transition Environmental Quality/Installations (EQ/I)
Military Unique Requirements Simulation Supported
by Experimentation Systems Approach
Multi-Scale Applications
Cost Effective Solutions
First Principle Phenomenology
Natural Environment
Built Environment
MISSION
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USACE Business Areas Navigation and Hydropower Flood and Coastal, Water
Supply, Emergency Management
Environment - Restoration, Regulation, Stewardship
• FY13 Business Lines
Navigation
Environment Flood & Coastal
4 DRAFT
CW R&D at a Glance
Set-down
Set-down
Infrastructure Navigation
Integrated Water Resources
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5 DRAFT
BoR, DHS, FEMA, NOAA, USACE, USGS Strategic Plan Meeting, 22 Jun 2011
Overarching Strategy • Integrated Water Resources Management Cross-Cutting Strategies • Systems Approach • Collaboration and Partnering • Risk-Informed Decision Making • Innovative Financing • Adaptive Management • State-of-the-Art Technology
HQ USACE Emphasis for CW R&D
Draft Overarching R&D Strategy • State-of-the-art Technology through innovative science, strategic collaboration, and extensive partnering Cross-Cutting Strategies • Ready access to state-of-the-art technology • Adaptive Solutions • Multidisciplinary and Integrated Teams • Research for Tomorrow • Innovation • Technology Transfer
CW R&D Strategic Plan Development
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6 DRAFT
CW R&D Strategic Plan Development
Strategic Capability Topics • Infrastructure • Integrated Water Resources Technology
Strategic Enabling Topics • Advanced Macro and Micro Scale Sedimentation Knowledge • Impacts on the Environment • Planning Methodologies
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ERDC Vision for Ecological Modeling
Goals and Objectives: • Develop a robust , next-generation Ecological Modeling System (EMS) that:
• Accounts for the inherent complexity of natural systems • Facilitates multidisciplinary modeling and problem solving • Empowers users to rapidly develop and apply models of ecological systems in an efficient and scientifically-defensible manner
Technology Leaders for Ecological Modeling Systems
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Background
Hydrological Modeling
Ecological Modeling
Water movement and material transport, including chemical constituents
Population growth Movement of populations Movement of individuals Predator-prey dynamics Resource competition Disease and epidemic Reproduction/survival Genetic adaptation Migration Colonization/invasion Fire impacts Plant succession Habitat fragmentation
Communication Territorial behavior Food networks Population viability Commensalism Parasitism/Symbiosis Nutrient cycling Diversity/Community dynamics Connectivity/refugia Biotic response to chemicals Flocking/schooling behavior Response to disturbance Landscape dynamics
The Ecological Modeling Challenge:
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SWWRP
Riverine Models
Watershed Models
• Restoration Projects • Project Operations • Activities of Others
Estuarine and Coastal Models
Reservoir Models
Ecological
Models
• Improved science/engineering in water resources management – Right level of sophistication – At the correct scale(s) – All operating efficiently and productively
• Improved forecasting and adaptive management approaches keyed to
alternative analysis
• Products that empower USACE to engage multiple stakeholders through a collaborative decision support environment
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Systems Thinking…
“Understanding the performance of system elements in the individual and interconnected contexts, with their dynamic interactions, feedbacks, and perturbations, for characterizing attendant influences from internal and external stressors and drivers, to objectively quantify effects on relevant receptors in assessing and managing mission risks and uncertainties”.
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High-resolution watershed simulations
Operations SME team deliberation and rule- and decision-making
Agent-based operations research engine: • Interception of SME rule- and decision-making • Machine learning and diagnostic/predictive skill enhancement • Pattern analysis, recognition, and solution optimization • Simulation versus event reality hind-casting • Wisdom creation, institutionalization, and adviser
Probabilistic stressor and
scenario driver inputs
Agent wisdom adviser
Real-time field gauging
Systems risk and reliability performance visualization dashboard
River atlas knowledge base
Tradeoffs and consequences management
Water Resources Expert System Technology (WREST)
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Engineering with Nature (EWN)
Engineering With Nature is the intentional alignment of natural and engineering processes to efficiently and sustainably deliver economic, environmental and social benefits through collaborative processes.
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The Essential Ingredients of EWN
Use science and engineering to produce operational efficiencies ► Support sustainable delivery of project benefits.
Use natural process to maximum benefit ► To reduce demands on limited resources, minimize the
environmental footprint of the project, and to enhance the quality of benefits produced
Broaden and extend the benefits provided by projects ► To include substantiated economic, social, and
environmental benefits Use science-based collaborative processes to organize
and focus interests, stakeholders, and partners ► To reduce social friction, resistance, and project delays while
producing more broadly acceptable projects
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Example EWN Opportunities Strategic placement of sediments for beneficial use of dredged material
► Make use of hydrodynamics and natural transport processes to build near-shore habitats
Use of engineering features to focus natural processes ► To minimize navigation channel infilling and to transport and focus
sediments for positive benefits Cost-efficient engineering practices
► For enhancing the habitat value of infrastructure Optimizing the use of natural systems, such as wetlands and other features
► To reduce the effects of storm processes and sea level rise on shorelines and coasts
Science-based communications processes ► To significantly improve stakeholder engagement, collaboration and
communication
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Themes of Ecological Good and Services
Conceptual models to link restoration actions to predicted benefits Empirical, stochastic and mechanistic forecasts of ecosystem response to hydro-geomorphic manipulation Metrics for assessing benefits in different ecosystem types, across regions and applicable at the project and program scale Multi-criteria decision analysis to support risk-informed planning, recognizing local needs while ensuring national interest Environmental benefits quantification in alternatives and post- project evaluation to document contribution to NER account Ecosystem services using economic principals to account for social, economic, and ecological benefits Tools for programmatic assessment at regional and national levels
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Applied Solutions - Integrated Ecological Modeling
Focuses on quantitative, multiscalar modeling approaches to address issues in wetlands and coastal ecology.
Techniques include coupled hydrodynamic-ecological modeling, systems dynamics approaches, habitat suitability and spatial analyses, agent-based modeling, among others
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Applied Solutions - Oyster Modeling in Chesapeake Bay
Oyster reefs
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SHAPE Start with a HEC- RAS model Slope, flow, and x-sections
Highlight important habitat features (LWD, etc)
LWD
Transect data
Applied Solutions - Stream Habitat Analyses (SHAPE) Package
Supplement with aerial photos
Model bathymetry between transects
Develop MultiD environment Add important habitat features
Other data as available… - LIDAR - bathymetry surveys - habitat surveys
Consider desired future conditions
Alternative channel designs Meanders, bank protection, engineered log jams
Mesh modification
Analyze multiD simulation with risk- based biological model
Δ Flow, channel morphology etc
Resp
onse
Alt 1
Alt 2
Reference
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Baltimore
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1 2 4 8 16 32 64 128 256 512
CHA_HABCHA_MIGCHB_HABCHB_MIGCHC_HABCHC_MIGCHD_HABCHD_MIGD
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Time (s)
Project site Conceptual design (one of five alternatives)
Model domain with features from conceptual design
Hydrodynamic output from ADH
Fish movement in CFD
Fish movement analysis as function of CFD and selection of an alternative
Applied Solutions - Implementation of SHAPE for stream restoration design - Baltimore District
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Questions
Providing Solutions to Tomorrow’s
Environmental Problems
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Background
What technical and scientific developments or innovations will be required?
Workshop: Advancing Ecosystem Modeling and Forecasting Capabilities
Develop a virtual environment that supports collaborative problem-solving and a multi-disciplinary modeling approach Develop models and integrated modeling approaches that are easily adaptable across a range of problem sets Facilitate community or participatory model development and application.
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Reimbursable Examples
Integrated Ecological Modeling – Norfolk District Stream Habitat Analysis Package
(SHAPE) – Baltimore District
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Current Path Forward JUL-DEC 12: PgMP development
► Foster continued collaboration with IWR-HEC, USACE Modeling
& Mapping Consequences CX, and science agencies (e.g., NOAA, USGS)
► Cultivate client-partner relationships with Miss River Watershed
(MRW) divisions/districts for: • Identifying WREST MRW general technical requirements • Developing WREST MRW framework model capability • Defining details of WREST MO River development and demonstration
► Near-term briefs to corporately inform on WREST:
• Watershed Operations Management Chiefs, MRW MSCs • MRC • CoPs • HQUSACE
JAN 13: PgMP execution initiation