Fine particle (2.5 microns) emissions: regulations, measurement, and control
Abstract
Contents: Introduction; Health effects; Air monitoring; Emission control methods - fabric filter/baghouses, electrostatic precipitators, wet scrubbers; Environmental technology verification and baghouse filtration products; Cost considerations; and Nanoparticulates.
- Authors:
- Publication Date:
- OSTI Identifier:
- 21150516
- Resource Type:
- Book
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 01 COAL, LIGNITE, AND PEAT; PARTICULATES; PARTICLE SIZE; EMISSION; POLLUTION REGULATIONS; AIR POLLUTION CONTROL; USA; US EPA; HEALTH HAZARDS; AIR POLLUTION; AIR QUALITY; STANDARDS; AIR POLLUTION MONITORING; POLLUTION CONTROL EQUIPMENT; BAGHOUSES; FABRIC FILTERS; ELECTROSTATIC PRECIPITATORS; SCRUBBERS; NANOSTRUCTURES
Citation Formats
McKenna, John D, Turner, James H, and McKenna, Jr, James P. Fine particle (2.5 microns) emissions: regulations, measurement, and control. United States: N. p., 2008.
Web. doi:10.1002/9780470391327.
McKenna, John D, Turner, James H, & McKenna, Jr, James P. Fine particle (2.5 microns) emissions: regulations, measurement, and control. United States. https://doi.org/10.1002/9780470391327
McKenna, John D, Turner, James H, and McKenna, Jr, James P. 2008.
"Fine particle (2.5 microns) emissions: regulations, measurement, and control". United States. https://doi.org/10.1002/9780470391327.
@article{osti_21150516,
title = {Fine particle (2.5 microns) emissions: regulations, measurement, and control},
author = {McKenna, John D and Turner, James H and McKenna, Jr, James P},
abstractNote = {Contents: Introduction; Health effects; Air monitoring; Emission control methods - fabric filter/baghouses, electrostatic precipitators, wet scrubbers; Environmental technology verification and baghouse filtration products; Cost considerations; and Nanoparticulates.},
doi = {10.1002/9780470391327},
url = {https://www.osti.gov/biblio/21150516},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 15 00:00:00 EDT 2008},
month = {Mon Sep 15 00:00:00 EDT 2008}
}
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