Air and Climate Change Research
Models, Methods & Databases
Disclaimer of Liability
With respect to distributed software and documentation, neither the United States Government nor any of their employees, assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed. Furthermore, software and documentation are supplied "as-is" without guarantee or warranty, expressed or implied, including without limitation, any warranty of merchantability or fitness for a specific purpose.
Disclaimer of Endorsement
Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United Sates Government. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government, and shall not be used for advertising or product endorsement purposes.
The U.S. Government retains a non-exclusive, royalty-free license to publish or reproduce the documents and software provided on this web site, or allow others to do so, for U.S. Government purposes. The software and documentation may be freely distributed and used for scientific and educational purposes.
Indoor Air Quality Modeling: IAQ models are used for analyzing the impact of sources, sinks, ventilation, and air cleaners on indoor air quality. Early versions of the model allowed calculation of indoor concentrations as a function of time. The model predictions have been compared with results of test house experiments and the agreement between model predictions and experiment have been very good.
IAQX (Indoor Air Quality and Inhalation Exposure) Model: performs multi-zone, multipollutant simulations and allows gas-phase chemical reactions. In addition to performing conventional IAQ simulations, which compute the time concentration profile and inhalation exposure, IAQX can estimate the adequate ventilation rate when certain air quality criteria are provided by the user, a unique feature useful for product stewardship and risk management.
PARAMS 1.0 (an abbreviation of parameters) Model: used for estimating the parameters in indoor emissions source models, which are an essential component of indoor air quality (IAQ) and exposure models. It implements 30 methods for estimating the parameters in indoor emissions source models, which are an essential component of indoor air quality (IAQ) and exposure models. These methods fall into eight categories:
- the properties of indoor air,
- the first-order decay rate constants for solvent emissions from indoor coating materials,
- gas-phase, liquid-phase, and overall mass transfer coefficients,
- molar volume,
- molecular diffusivity in air, liquid, and solid materials,
- solid-air partition coefficient,
- vapor pressure and volatility for pure organic compounds and petroleum-based solvents, and
- the properties of water.
Risk Model: designed to allow calculation of individual exposure to indoor air pollutants from sources and to calculate exposure due to individual, as opposed to population, activity patterns and source use. The model also provides the capability to calculate risk due to the calculated exposure.
Integrated Air Pollution Control System (IAPCS) Cost: includes a preliminary design, material balance, emission summary, capital cost estimate, and annualized cost estimate (including capital charges and operation and maintenance expense) for about 16 control technologies (and combinations of these) applicable to coal-fired power plants ranging in size from 100-1300 Mwe of electric generating capacity. Costs are output in any year dollars (cost indexes and inflation rates are used) as first year and levelized costs and cost per unit of pollutant reduced.
MEASURE (Mobile Emissions Assessment System for Urban and Regional Evaluation): develops and validates an air pollutant emissions estimation model for highway vehicles in order to gain a better understanding of the complex relationships between vehicle activity factors and emissions.
Natural and Specialized Ambient Emissions and Modeling: Emissions from natural sources are important contributors to many environmental problems. Our researchers have the capability to conduct on-site emission testing of natural sources such as forests and other vegetative species at both the ground and canopy levels. These include biogenic VOCs with current emphasis placed on fast reacting species and their role in aerosol formation. In addition the techniques being developed and utilized address sources of ammonia and its fate in the biosphere. Biomass burning, such as in prescribed burns in forests, are a major activity. In each area the work includes utilizing the data to enhance databases and to develop and/or improve models. This work has been extended to trans-boundary pollutants and has involved testing campaigns in other countries (e.g., Brazil and China).