Environmental Modeling Predicts Emission, Dispersion Behaviors
MRIGlobal offers a complete suite of modeling skills, including emission modeling and dispersion modeling, multimedia transport/transformation modeling and secondary re-suspension modeling.
These techniques are used to predict, manage, and develop controls for hazards and pollutants, in indoor and outdoor environments.
The models study cyclic emissions from open dust sources, continuous releases from traditional “smokestack” industrial processes, sudden releases from sources like explosives detonation, and worker exposure in handing or batching operations involving solids or liquids.
- Regression-based and quasi-empirical models
- Characterizing how aerosols and airborne particles, ranging from 10 micrometer (PM10) to 2.5 micrometer (PM2.5), interact with their surroundings, from emission to dispersion
- Dispersion modeling, fate and transport analyses
- Analysis of biological uptake, electrophoresis impact, condensation, precipitation, electrical attraction and gravitational settling in groundwater or ground surfaces
- Computational fluid dynamics (CFD) analysesComputational Analysis brochure
MRIGlobal’s Environmental Modeling Successes:
- Remote sensing: MRIGlobal has adapted output from U.S. Environmental Protection Agency dispersion models for use with remote sensing. MRIGlobal has developed sensing and modeling tools for specific purposes.
- Dispersion analyses: MRIGlobal has integrated data detected from a ground-based infrared sampler or remote line-of-sight sensors on aircraft to characterize the dispersion of concentration field.
- Expert evaluations: MRIGlobal evaluated the potential of large-scale wind fences to control dust from stockyards and analyzed controls for use in dumping iron ore from rotary railcars.