Scenario Simulation
Scenario Simulation - Related Videos
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
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Cited by 1 •
2016
There is a critical need for tools and methodologies capable of managing aquatic systems in the face of uncertain future conditions. We provide methods for conducting a targeted watershed assessment that enables resource managers to produce landscape-based cumulative effects models for use within a scenario analysis management framework.
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
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2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
01:26
Pharmaceutical Poisoning: Potential Scenarios
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2026
Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
07:30
A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
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Cited by 8 •
2017
Using an anthropometric head and neck, optical fiber-based fit force transducers, an array of head acceleration and neck force/moment transducers, and a dual high speed camera system, we present a test bed to study helmet retention and effects on biomechanical measures of head and neck injury secondary to head impact.
09:46
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cited by 48 •
2012
An efficient way to gain insight into how humans navigate themselves in three dimensions is described. The method takes advantage of a motion simulator capable of moving observers in ways unattainable by traditional simulators. Results confirm that movement in the horizontal plane is underestimated, while vertical movement is overestimated.
FAQs
A simulation begins by specifying a plausible set of conditions, such as altered climate, land use, resource availability, or policy. Inputs describe the changing circumstances, assumptions clarify how those circumstances are represented, and system rules determine how components respond and interact. Together, these elements create a consistent basis for comparing possible environmental outcomes.
Assumptions and system rules shape how the model translates changing conditions into projected responses. They can represent interactions among ecological, social, and physical processes, so different choices may produce different outcomes even under similar scenario inputs. Making these elements explicit helps researchers examine why projections differ and identify which parts of a result depend on the model structure.
Rather than presenting one outcome as certain, scenario simulation compares results across multiple plausible conditions. The range of projections shows how environmental responses may change when climate, land use, resources, or policy differ. This approach supports risk assessment and adaptation planning by revealing alternative consequences, while preserving uncertainty about which future will occur.
Researchers first define the scenarios and the environmental question, then select relevant inputs, state assumptions, and specify rules for system responses. They run the model under each scenario and compare the resulting projections. Interpreting differences among runs can reveal risks, trade-offs, and possible consequences of management strategies without treating any single projection as a guaranteed outcome.
The method is useful when decisions must account for changing conditions and uncertain consequences. Environmental researchers can apply it to conservation planning, environmental impact assessment, climate adaptation, and resource management. By comparing plausible futures, they can evaluate risks and examine how proposed strategies might perform across altered ecological, social, and physical circumstances.
Outputs can show possible consequences of changes in climate, land use, resource availability, or policy, including interactions among ecological, social, and physical processes. Comparing these outcomes helps identify risks and assess management strategies. The results support planning by clarifying sensitivity to different conditions, but they should be interpreted as plausible projections rather than precise predictions.