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Title: Ozone Risk Assessment Utilities

Abstract

ORAMUS is a user-friendly, menu-driven software system that calculates and displays user-selected risk estimates for health effects attributable to short-term exposure to tropospheric ozone. Inputs to the risk assessment are estimates of exposure to ozone and exposure-response relationships to produce overall risk estimates in the form of probability distributions. Three fundamental models are included: headcount risk, benchmark risk, and hospital admissions. Exposure-response relationships are based on results of controlled human exposure studies. Exposure estimates are based on the EPA''s probabilistic national ambient air quality standards (NAAQS) exposure model, pNEM/Osub3, which simulates air quality associated with attainment of alternative NAAQS. Using ORAMUS, risk results for 27 air quality scenarios, air quality in 9 urban areas, 33 health endpoints, and 4 chronic health endpoints can be calculated.

Authors:
; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
DOE/ER
OSTI Identifier:
1230359
Report Number(s):
ORAMUS(WINDOWS); 001117IBMPC02
DOE Contract Number:  
P
Resource Type:
Software
Software Revision:
02
Software Package Number:
001117
Software Package Contents:
Media Directory; Software Abstract; ANL/DIS/TM-44, VOL.1; ANL/DIS/TM-44, VOL.2; Errata sheets (2 pages) Media Includes Source Code, Executables, Auxiliary Material, Object Module, Sample Problem Input and Output Data, DOS Text Help Files;\ CD-ROM
Software CPU:
IBMPC
Open Source:
No
Source Code Available:
Yes
Other Software Info:
The following explain some of the file naming conventions used in ORAMUS: .exe Executable files, .scn Screen files for menus and forms, .hlp Help files for menus and forms, .1o, .1p Exposure probability files for 1-h exposures at heavy exertion (accute effects), .2o,.2p Exposure probability files for 1-h exposures at moderate exertion (acute effects), .8o, .8p Exposure probability files for 8-h exposures at moderate exertion (acute effects), .sp Exposure probability files for seasonal exposures (chronic effects), .erf Exposure-response relationship files for headcount risk model, .hpr, .hor Risk output files for headcount risk models, .bmr Risk output files for benchmark risk models, .erp Exposure-response relationship files for benchmark risk model, .aqp Air quality probability files for benchmark risk model, .aqd Air quality data files for hospital admissions model, and .crf Concentration-response relationship files for hospital admissions model
Country of Publication:
United States

Citation Formats

Whitfield, R. G., Jusko, M. J., and Clemmons, M. A. Ozone Risk Assessment Utilities. Computer software. Vers. 02. DOE/ER. 10 Aug. 1999. Web.
Whitfield, R. G., Jusko, M. J., & Clemmons, M. A. (1999, August 10). Ozone Risk Assessment Utilities (Version 02) [Computer software].
Whitfield, R. G., Jusko, M. J., and Clemmons, M. A. Ozone Risk Assessment Utilities. Computer software. Version 02. August 10, 1999.
@misc{osti_1230359,
title = {Ozone Risk Assessment Utilities, Version 02},
author = {Whitfield, R. G. and Jusko, M. J. and Clemmons, M. A.},
abstractNote = {ORAMUS is a user-friendly, menu-driven software system that calculates and displays user-selected risk estimates for health effects attributable to short-term exposure to tropospheric ozone. Inputs to the risk assessment are estimates of exposure to ozone and exposure-response relationships to produce overall risk estimates in the form of probability distributions. Three fundamental models are included: headcount risk, benchmark risk, and hospital admissions. Exposure-response relationships are based on results of controlled human exposure studies. Exposure estimates are based on the EPA''s probabilistic national ambient air quality standards (NAAQS) exposure model, pNEM/Osub3, which simulates air quality associated with attainment of alternative NAAQS. Using ORAMUS, risk results for 27 air quality scenarios, air quality in 9 urban areas, 33 health endpoints, and 4 chronic health endpoints can be calculated.},
doi = {},
year = {1999},
month = {8},
note =
}

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