System dynamics modeling of transboundary systems: the bear river basin model

Area of Science:

• Environmental Science
• Hydrology
• Computer Science

Background:

• System dynamics is a computer-aided method for analyzing complex systems.
• It has been applied across various scientific and policy domains.
• National laboratories are exploring its use for large-scale environmental modeling.

Purpose of the Study:

• To evaluate the utility of system dynamics modeling for large, complex hydrological systems.
• To assess its effectiveness in integrating diverse data types for decision support.
• To model the Bear River basin, a transboundary watershed.

Main Methods:

• Developed and applied a system dynamics model.
• Modeled the Bear River basin, incorporating surface and groundwater data.
• Integrated hydrologic data with policy, regulatory, and management criteria.

Main Results:

• System dynamics modeling effectively integrates surface and groundwater data.
• The model facilitated simulation of interactions between water sources.
• It proved useful in creating a decision support system for basin management.
• Enabled visualization of hydrologic elements and management constraints.

Conclusions:

• System dynamics modeling is valuable for large-scale hydrological analysis.
• Its strength lies in integrating disparate and interdisciplinary data.
• It supports better management decisions through "what-if" scenario simulation.
• Facilitates understanding of cause-effect relationships in complex water systems.