Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements

Kirsten A Koehler; Jun Zhu; Haonan Wang; Thomas M Peters

doi:10.1093/annweh/wxw025

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Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements

Journal article

Open access

Peer reviewed

Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements

Kirsten A Koehler, Jun Zhu, Haonan Wang and Thomas M Peters

Annals of work exposures and health, Vol.61(2), pp.183-194

03/01/2017

DOI: 10.1093/annweh/wxw025

PMID: 28395352

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Abstract

Hazard mapping is an effective way to depict spatial variability in hazard intensity obtained with direct-reading instruments on a facility floor plan. However, the extent to which temporal variability affects map accuracy is unknown, and guidance on sampling strategies to minimize map bias is lacking. In this study, we evaluated the accuracy of hazard maps produced for simulated sources and sampling strategies in a hypothetical facility. Hazard maps were produced from sampled data at high, mid, and low spatial resolution and with and without replicates and compared to a reference time-weighted average hazard map using several map comparison metrics. In agreement with 'real-world' mapping datasets, the simulation showed that increasing the number of replicates improved the overall comparability of the hazard map produced from the sampled data with the time-weighted average hazard map more efficiently than increasing the sampling spatial resolution. However, if accurately capturing peak exposures near sources is of interest, increasing the spatial resolution of the measurements, particularly near sources, is needed. From these results, we formulated guidelines to use the preliminary assessment of the temporal variability of large and intermittent sources to inform the spatial resolution and need for replicate measures to minimize the bias in hazard maps.

Environmental Monitoring - instrumentation

Time Factors

Data Collection - standards

Noise

Humans

Environmental Monitoring - methods

Geographic Mapping

Maps as Topic

Models, Statistical

Sampling Studies

Details

Title: Subtitle: Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements
Creators: Kirsten A Koehler - Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
Jun Zhu - Department of Entomology, University of Wisconsin, 1450 Linden Drive, Madison, WI 53706, USA
Haonan Wang - Department of Statistics, Colorado State University, 1877 Campus Delivery, Fort Collins, CO 80523, USA
Thomas M Peters - Department of Occupational and Environmental Health, University of Iowa, 145 N. Riverside Drive, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Annals of work exposures and health, Vol.61(2), pp.183-194
DOI: 10.1093/annweh/wxw025
PMID: 28395352
NLM abbreviation: Ann Work Expo Health
ISSN: 2398-7308
eISSN: 2398-7316
Publisher: England
Grant note: R01 OH010533 / NIOSH CDC HHS
Language: English
Date published: 03/01/2017
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Occupational and Environmental Health
Record Identifier: 9983997304802771

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