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Title: Linking biological models and spatial descriptions of environmental complexity with coupled models
Authors: Nestler, John M.
Goodwin, R. Andrew
Schneider, L. Toni.
Keywords: Mathematical models
Spatial distribution
Environmental impact
Mathematical prediction
Hybrid systems
Euler equations
Trade off analysis
Impact prediction
Water resources
Lagrangian functions
Publisher: Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Note (Ecosystem Management and Restoration Research Program (U.S.)) ; no. ERDC/TN EMRRP-EM-01
Abstract: Effective planning and management of water resources require models to predict and evaluate the multiple biological, economic, physical, and social impacts that may result from any proposed hydraulic infrastructure design plan or operating policy. Different stakeholders care about different sets of these impacts. Models allow planners to identify the tradeoffs among the values of various conflicting objectives that are of interest to the stakeholders. Models can also aid in the synthesis of alternative designs, plans, or policies that may help reduce conflicts among the interested stakeholders. Those who develop and use models to assist in the solution of planning and management issues and problems must work with specialists from multiple disciplines. These multiple impact prediction models must be developed and calibrated based on knowledge that comes from these different disciplines.
Description: Technical Note
Gov't Doc #: ERDC/TN EMRRP-EM-01
Rights: Approved for public release; distribution is unlimited
Size: 10 pages/1.12 MBs
Types of Materials: PDF/A
Appears in Collections:Technical Note

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