{"title":"185 测量不确定性和环境因素对工作场所暴露评估的影响","authors":"Robert Emonds, Theo Scheffers","doi":"10.1093/annweh/wxae035.073","DOIUrl":null,"url":null,"abstract":"According to good occupational hygiene practices, measurement uncertainty (U) should be included when testing TWA workplace atmosphere measurement against OEL. In some countries such as the US (OSHA) and Belgium, this is included in legislation: law enforcement tests the TWA lower confidence limit LCL=TWA*(1-U) exceedance of the OEL while employers test the TWA upper confidence limit UCL=TWA*(1+U) compliance with the OEL. International standards such as EN482 and ISO-20581 help establish U, UCL and LCL. Current exposure assessment strategies promoted by IOHA members, such as AIHA (2015), EN689 (2018) and BOSH/NVvA (2022), ignore measurement uncertainty. This may be due to historical work (Nicas, 1991), which shows that in similar exposure groups (SEG), lognormal long-term daily environmental variability exceeds U. However, Monte-Carlo simulations, which will be shown in this lecture, show that the influence of U on the lognormal, one-sided upper confidence limit of the 95th percentile (UTL95,##%) can be significant in occupational hygiene practice with sample sizes often smaller than n=6. Also in the last decade, several strategies promote a simplified screening/preliminary test (French Code du Travail, EN689:2018 §5.5.2, BOSH/NVvA 2011/2022). In these tests, the highest result (TWAmax) of 3 to 5 measurements is compared with the OEL or with a defined fraction f(OEL). In line with the above, these TWAmax tests should use TWAmax*(1-U) ≤ f(OEL) for compliance and TWAmax*(1+U) > OEL for exceedance. IOHA member organisations are advised not only to align the numerical test schedules for compliance, but also to include measurement uncertainty in the OEL tests.","PeriodicalId":8362,"journal":{"name":"Annals Of Work Exposures and Health","volume":"14 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"185 The influence of measurement uncertainty and environmental factors in the assessment of workplace exposure\",\"authors\":\"Robert Emonds, Theo Scheffers\",\"doi\":\"10.1093/annweh/wxae035.073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to good occupational hygiene practices, measurement uncertainty (U) should be included when testing TWA workplace atmosphere measurement against OEL. In some countries such as the US (OSHA) and Belgium, this is included in legislation: law enforcement tests the TWA lower confidence limit LCL=TWA*(1-U) exceedance of the OEL while employers test the TWA upper confidence limit UCL=TWA*(1+U) compliance with the OEL. International standards such as EN482 and ISO-20581 help establish U, UCL and LCL. Current exposure assessment strategies promoted by IOHA members, such as AIHA (2015), EN689 (2018) and BOSH/NVvA (2022), ignore measurement uncertainty. This may be due to historical work (Nicas, 1991), which shows that in similar exposure groups (SEG), lognormal long-term daily environmental variability exceeds U. However, Monte-Carlo simulations, which will be shown in this lecture, show that the influence of U on the lognormal, one-sided upper confidence limit of the 95th percentile (UTL95,##%) can be significant in occupational hygiene practice with sample sizes often smaller than n=6. Also in the last decade, several strategies promote a simplified screening/preliminary test (French Code du Travail, EN689:2018 §5.5.2, BOSH/NVvA 2011/2022). In these tests, the highest result (TWAmax) of 3 to 5 measurements is compared with the OEL or with a defined fraction f(OEL). In line with the above, these TWAmax tests should use TWAmax*(1-U) ≤ f(OEL) for compliance and TWAmax*(1+U) > OEL for exceedance. 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185 The influence of measurement uncertainty and environmental factors in the assessment of workplace exposure
According to good occupational hygiene practices, measurement uncertainty (U) should be included when testing TWA workplace atmosphere measurement against OEL. In some countries such as the US (OSHA) and Belgium, this is included in legislation: law enforcement tests the TWA lower confidence limit LCL=TWA*(1-U) exceedance of the OEL while employers test the TWA upper confidence limit UCL=TWA*(1+U) compliance with the OEL. International standards such as EN482 and ISO-20581 help establish U, UCL and LCL. Current exposure assessment strategies promoted by IOHA members, such as AIHA (2015), EN689 (2018) and BOSH/NVvA (2022), ignore measurement uncertainty. This may be due to historical work (Nicas, 1991), which shows that in similar exposure groups (SEG), lognormal long-term daily environmental variability exceeds U. However, Monte-Carlo simulations, which will be shown in this lecture, show that the influence of U on the lognormal, one-sided upper confidence limit of the 95th percentile (UTL95,##%) can be significant in occupational hygiene practice with sample sizes often smaller than n=6. Also in the last decade, several strategies promote a simplified screening/preliminary test (French Code du Travail, EN689:2018 §5.5.2, BOSH/NVvA 2011/2022). In these tests, the highest result (TWAmax) of 3 to 5 measurements is compared with the OEL or with a defined fraction f(OEL). In line with the above, these TWAmax tests should use TWAmax*(1-U) ≤ f(OEL) for compliance and TWAmax*(1+U) > OEL for exceedance. IOHA member organisations are advised not only to align the numerical test schedules for compliance, but also to include measurement uncertainty in the OEL tests.
期刊介绍:
About the Journal
Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?"
We are interested in high quality scientific research addressing:
the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures;
the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities;
populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers;
the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems;
policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities;
methodologies and mechanisms that underlie the quantification and/or control of exposure and risk.
There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.