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

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 lacki...

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Publicado en:Annals of Work Exposures & Health Vol. 61; no. 2; pp. 183 - 195
Autores principales: Koehler, Kirsten A., Jun Zhu, Haonan Wang, Peters, Thomas M.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Oxford University Press / USA Mar2017
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements.
      aug:
        au:
          Koehler, Kirsten A.
          Jun Zhu
          Haonan Wang
          Peters, Thomas M.
        affil: Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
      sug:
        subj:
          Noise
          Environmental Monitoring Methods
          Occupational Exposure Analysis
          Maps
          Work Environment
          Hazardous Materials
          Spatial Perception
          Simulations
          Manufacturing Industry
          Comparative Studies
          Data Analysis Software
          Funding Source
      ab: 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.
      pubtype: Academic Journal
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        equations & formulas
        pictorial
        research
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      ougenre: Article
    language: English
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