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Database tools for modeling emissions and control of air pollutants from consumer products, cooking, and combustion / Cynthia Howard Reed, Brian Polidoro.

National Institute of Standards and Technology (NIST) Publications Available online

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Format:
Book
Government document
Author/Creator:
Howard-Reed, Cynthia, author.
Contributor:
Polidoro, Brian.
Building and Fire Research Laboratory (U.S.)
Series:
NISTIR ; 7364.
NISTIR ; 7364
Language:
English
Subjects (All):
Indoor air pollution--Computer simulation.
Indoor air pollution.
Computer simulation.
Physical Description:
1 online resource (64 pages) : illustrations.
Place of Publication:
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology, [2006].
System Details:
text file
Summary:
In order to estimate building contaminant concentrations and associated occupant exposures, indoor air quality (IAQ) model users require data related to source strengths and other contaminant transport mechanisms (e.g. sinks, filters). Much of this information exists in the literature; however, it is not readily accessible, thereby requiring users to expend significant efforts in searching for this information. To support the modeling process, the National Institute of Standards and Technology (NIST) has created a series of model input databases for use in its multizone IAQ and ventilation model CONTAM. As part of this effort, a standard data entry format was developed, as well as a computer program to search the database for specific records and build a CONTAM input library. These databases and tools can serve as a basis for building an extensive collection of model input parameters, assessing the quality and completeness of existing data sets, and allow for identification of significant data gaps.
Notes:
"November 2006."
Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.
Title from page [1], viewed March 5, 2007.
Includes bibliographical references (pages 19-24).
OCLC:
86108536
Publisher Number:
GOVPUB-C13-2473605914731220e2f0f0ce89e6586e
Access Restriction:
Open Access Unrestricted online access

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