Record Display for the EPA National Library Catalog

RECORD NUMBER: 61 OF 237

Main Title Dispersion of airborne particulates in surface coal mines : data analysis /
CORP Author TRC--Environmental Consultants.
Publisher U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards,
Year Published 1985
Report Number EPA-450/4-85-001; EPA-68-02-3514; PB85185411
Stock Number PB85-185411
OCLC Number 12071172
Subjects Dispersion ; Coal mines and mining--Dust control--United States
Additional Subjects Dispersion ; Coal mines and mining--United States--Dust control ; Particles ; Air pollution ; Surface mining ; Meteorology ; Comparison ; Particle size distribution ; Mathematical models ; Atmospheric dispersion ; Air quality
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000N5YV.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBD  EPA-450/4-85-001 Research Triangle Park Library/RTP, NC 08/27/1999
ELBD ARCHIVE EPA 450-4-85-001 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 450-4-85-001 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB85-185411 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation iii, 74, 3 pages : illustrations ; 28 cm
Abstract
This report summarizes the results of an effort to better understand the dispersion and transport of particulate matter released within surface coal mine pits. Data previously collected at four surface coal mines were used in this investigation. This report describes the analysis and interpretation of those data, examines the relationship between meteorology and smoke puff behavior, and compares mine pit escape fraction (that portion of the dust emitted in the pit that leaves the pit) with those predicted by existing equations. Two independent techniques were used in conjunction with assumed particle size distributions and the onsite data, to infer values of escape fraction. These values were then used to determine the predictive ability of two widely used model algorithms. The report contains numerous tabulations and discusses the relative merits of each method.
Notes
Distributed to depository libraries in microfiche. "January 1985." "EPA/450-4-85-001." Includes bibliographical references. Contract Number: 68-02-3514.