Sentence examples for output dispersion from inspiring English sources

Exact(3)

Sensitivity analysis aims at quantifying influence of input parameters dispersion on the output dispersion of a numerical model.

The key metrics that emerge from a new theoretical analysis are: i) gas fraction of the output dispersion (εgen), ii) interfacial area density of the output dispersion (agen), iii) the energy necessary to create interfacial area, and iv) cost and maintenance.

It is based on a sensitivity analysis, which identifies inputs that have negligible influence on the computed infrared signature and can be set at a constant value, and on a quasi-Monte Carlo survey of the code output dispersion.

Similar(57)

In addition, both PM2.5 and NOx models included geographic covariates such as roadway density and land use characteristics, and outputs from dispersion models, to improve predictions.

It is shown that knowledge of the mean output torque and dispersion in output torque can then help inform the design process with such units.

These maps link the output of atmospheric dispersion and deposition models with data on the nitrogen sensitivity of protected habitats in the Natura 2000 network.

To examine whether deterministic dispersion output improves LUR predictions for nitrogen dioxide (NO2), we incorporated hourly Caline3QHCR dispersion information into existing winter-time regression models originally designed to disentangle effects of multiple sources (e.g., legacy industry, vehicle traffic) and concentration modifiers (e.g., elevation) across Pittsburgh, PA.

Outputs from such dispersion models take the form of probabilistic maps and exceedance probability curves for key locations (Jenkins et. al., Assessment of ash and gas hazard for future eruptions at Santorini Volcano, Greece. forthcoming).

It is an output of some tephra dispersion models (e.g., Tephra2; Bonadonna et al., 2005).

Impeller speed and cohesion showed a significant interacting effect on the output variable, the axial dispersion coefficient.

Thickness contributes to damage and functionality disruption for most infrastructure (Wilson et al., 2014), is easily measured in the field, and is also an output of some tephra dispersion models (e.g., ASHFALL; Hurst, 1994).

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