Sentence examples for air quality models from inspiring English sources

As part of the NARSTO Critical Reviews, this article discusses the current strengths and weaknesses of air quality models and the modeling process.

These are divided into three categories: preferred or recommended refined dispersion models, screening models that can precede the use of a refined modeling analysis, and refined air quality models for use on a case-by-case basis for individual regulatory applications.

Biogenic VOC emission estimates from the earth's surface are crucial input parameters in air quality models.

PAQMSG is an MPI-based, Fortran 90 communication library for the parallelization of air quality models (AQMs) on structured grids.

Numerical simulations of air quality models provide unique and different outputs for different choices of grid size.

Air quality models are widely used to estimate pollutant deposition rates and thereby calculate critical loads and critical load exceedances (model deposition > critical load).

This makes direct application of comprehensive air quality models such as the Community Multiscale Air Quality CMAQQ) modeling system impractical due to computational cost.

Photochemical air quality models play a central role in both schentific investigation of how pollutants evlove in the atmosphere as well as developing policies to manage air quality.

DSSs implementing cost-effective or multi-objective methodologies require fast air quality models, able to properly describe the relations between emissions and air quality indexes.

Air quality models are often used to simulate how emission scenarios influence the concentration of primary as well as secondary pollutants in the atmosphere.

The meteorological predictions of fully coupled air-quality models running in "feedback" versus "no-feedback" simulations were compared against each other and observations as part of Phase 2 of the Air Quality Model Evaluation International Initiative.