Deterministic Model
Term · Environment · MLC-T-ENV-007821
1. A model that provides a solution for the state variables rather than a set of probabilistic outcomes. Because this type of model does not explicitly simulate the effects of data uncertainty or variability, changes in model outputs are solely due to changes in model components.
2. A model that does not include built-in variability: same input will always equal the same output.
3. A model that provides a solution for the state variables rather than a set of probabilistic outcomes. Because this type of model does not explicitly simulate the effects of data uncertainty or variability, changes in model outputs are solely due to changes in model components or in the boundary conditions or initial conditions.
4. A mathematical model in which the parameters and variables are not subject to random fluctuations, so that the system is at any time entirely defined by the initial conditions chosen. Contrast with a stochastic model. [Swinton 1999]
| Identifier | MLC-T-ENV-007821 |
|---|---|
| Field | Environment |
| Subject | Policy and guidance |
| References | Modeling Glossary; Sediment Total Maximum Daily Loads (TMDLs) Glossary; EPA Guidance on the Development, Evaluation and Application of Environmental Models EPA/100/K-09/003 | March 2009 at http://www.epa.gov/crem/library/cred_guidance_0309.pdf; Thesaurus of Terms Used in Microbial Risk Assessment |
Record as JSON
{
"id": "MLC-T-ENV-007821",
"term": "Deterministic Model",
"field": "Environment",
"definition": "1. A model that provides a solution for the state variables rather than a set of probabilistic outcomes. Because this type of model does not explicitly simulate the effects of data uncertainty or variability, changes in model outputs are solely due to changes in model components.\n\n2. A model that does not include built-in variability: same input will always equal the same output.\n\n3. A model that provides a solution for the state variables rather than a set of probabilistic outcomes. Because this type of model does not explicitly simulate the effects of data uncertainty or variability, changes in model outputs are solely due to changes in model components or in the boundary conditions or initial conditions.\n\n4. A mathematical model in which the parameters and variables are not subject to random fluctuations, so that the system is at any time entirely defined by the initial conditions chosen. Contrast with a stochastic model. [Swinton 1999]",
"subject": "Policy and guidance",
"references": [
"Modeling Glossary",
"Sediment Total Maximum Daily Loads (TMDLs) Glossary",
"EPA Guidance on the Development, Evaluation and Application of Environmental Models EPA/100/K-09/003 | March 2009 at http://www.epa.gov/crem/library/cred_guidance_0309.pdf",
"Thesaurus of Terms Used in Microbial Risk Assessment"
],
"url": "https://mlchart.com/terminology/environment/deterministic-model/"
}
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