Development of a hazardous air pollutants monitoring program using the data quality objectives process

N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To effectively reduce the environmental compliance costs associated with meeting hazardous air pollutant emission requirements, the U.S. Environmental Protection Agency's Data Quality Objective (DQO) process has been proposed as a suitable framework for establishing a defensible monitoring program. Through the use of a hazardous materials pilot study, the variability in the composite vapor pressure for regulated handwipe cleaning solvents was established. These results served as inputs to the DQO process, which identified that for facility decision-makers to claim with a 99% confidence level that the facility is in compliance with the National Emission Standards for Hazardous Air Pollutants (NESHAP), a minimum of 12 handwipe cleaning solvent compliance samples (taken at random every 6 months) must have a composite vapor pressure equal to or below the regulatory limit of 45 mmHg at 20°C. Implementation of the DQO-based compliance-sampling plan eliminates the need for an affected facility to sample all regulated handwipe cleaning solvents while still maintaining a reasonably high level of confidence in the compliance status of its regulated sources. The approach described for designing a defensible compliance sampling plan can be extended to other aspects of the aerospace NESHAP rule, including compliance sampling for surface coating, chemical depainting, and hazardous waste disposal. © 2004 Air & Waste Management Association.

Cite

CITATION STYLE

APA

Mc Farland, M. J., Nelson, T. M., & Palmer, G. R. (2004). Development of a hazardous air pollutants monitoring program using the data quality objectives process. Journal of the Air and Waste Management Association, 54(5), 614–622. https://doi.org/10.1080/10473289.2004.10470932

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free