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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the US environmental protection agency's data quality objectives process

机译:使用美国环保署的数据质量目标流程来保持大批量,低压表面涂层监管合规性

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摘要

To effectively reduce the environmental compliance costs associated with meeting specific requirements under the Aerospace Manufacturing and Rework Facility's National Emission Standard for Hazardous Air Pollutants rule, the U.S. Environmental Protection Agency's (EPA) Data Quality Objective (DQO) process has been proposed as a suitable framework for developing a scientifically defensible surface compliance monitoring program. By estimating the variability associated with the air cap pressure of high-volume, low-pressure (HVLP) surface-coating spray equipment, the number of monitoring samples necessary for an affected facility to claim compliance with a desired statistical confidence level was established. Using data taken from the pilot test facility, the DQO process indicated that the mean of at least 21 HVLP air cap pressure samples taken over the compliance period must be less than or equal to 10 pounds per square inch (psig) gauge for the facility to claim regulatory compliance with 99.99% statistical confidence. Fewer compliance samples could be taken, but that decision would lead to a commensurate reduction in the compliance confidence level. Implementation of the DQO-based compliance sampling plan eliminates the need for an affected facility to sample all regulated HVLP surface-coating processes while still maintaining a high level of compliance assurance.
机译:为了有效降低与满足航空航天制造和返修设施的《国家有害空气污染物排放标准》规定的特定要求相关的环境合规成本,美国环境保护局(EPA)的数据质量目标(DQO)流程已被提议作为合适的框架用于制定科学依据的表面柔韧性监测程序。通过估计与大容量,低压(HVLP)表面涂层喷涂设备的气帽压力相关的变异性,确定了受影响的工厂声称符合所需的统计置信度所必需的监视样本数。 DQO过程使用从中试测试设施获得的数据表明,在合规期内采集的至少21个HVLP气帽压力样本的平均值必须小于或等于10磅每平方英寸(psig)表压声称其合规性达到99.99%的统计置信度。可以采用更少的合规性样本,但是该决定将导致合规性置信度水平相应降低。基于DQO的合规性采样计划的实施消除了受影响的机构对所有受监管的HVLP表面涂层工艺进行采样的需求,同时仍保持了高水平的合规性保证。

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