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Coupling of Engineering and Biological Models for Ecosystem Analysis
- Source :
- Journal of Water Resources Planning and Management. 131:101-109
- Publication Year :
- 2005
- Publisher :
- American Society of Civil Engineers (ASCE), 2005.
-
Abstract
- Robust ecosystem analysis of water resource systems remains elusive. A principle reason is the difficulty in linking engineering models used to simulate physicochemical processes associated with project design or operation with biological models used to simulate biological population attributes. A retrospective shows that each modeling tradition can be generally assigned (with exceptions) into either an Eulerian or Lagrangian reference framework. Eulerian and Lagrangian reference frameworks can be coupled to create a new synthesis, the Coupled Eulerian-Lagrangian Hybrid Ecological Modeling Concept (CEL Hybrid Concept), capable of simulating different ecosystem processes that range widely in spatial and temporal scale. The foundation of the CEL Hybrid Concept is the coupler, a collection of algorithms based on conservation principles that transform and conserve data in a way that allows the two frameworks to share a common information base. The coupling algorithm allows the simulation to aggregate, disaggregate, and translate information, as required by each framework, so that processes that differ substantially in scale can each be adequately simulated. The coupled system is illustrated by linking a fish swim path selection model with a hydrodynamic and water quality model.
- Subjects :
- Engineering
education.field_of_study
business.industry
Distributed computing
Scale (chemistry)
Geography, Planning and Development
Simulation modeling
Aggregate (data warehouse)
Population
Eulerian path
Management, Monitoring, Policy and Law
symbols.namesake
Resource (project management)
Coupling (computer programming)
Ecosystem model
symbols
business
education
Simulation
ComputingMethodologies_COMPUTERGRAPHICS
Water Science and Technology
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19435452 and 07339496
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- Journal of Water Resources Planning and Management
- Accession number :
- edsair.doi...........2b33af82c06bad561f0e960f5732e12c
- Full Text :
- https://doi.org/10.1061/(asce)0733-9496(2005)131:2(101)