Annual traffic noise levels estimation based on temporal stratification.
This paper proposes a temporal sampling strategy that increases the accuracy of long-term noise level estimation and allows to establish the estimation error according to the number of sampled days. Days of the week are stratified into working days and weekend days. This research shows how to use me...
| Publicado en: | Journal of Environmental Management Vol. 206; pp. 1 - 10 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Jan2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=126805755&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 126805755 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Jan2018 vid: 206 pid: 735 pub: Academic Press Inc. artinfo: ui: 126805755 10.1016/j.jenvman.2017.10.008 ppf: 1 ppct: 9 formats: tig: atl: Annual traffic noise levels estimation based on temporal stratification. aug: au: Quintero, G. Balastegui, A. Romeu, J. affil: Laboratory of Acoustics and Mechanical Engineering (LEAM), Polytechnic University of Catalonia, Colom 11, 08222, Terrassa, Spain su: Differences Noise pollution Sampling (Process) Sampling (Sound) Noise measurement sug: subj: Differences Noise pollution Sampling (Process) Sampling (Sound) Noise measurement keyword: Noise assessment Noise mapping Sampling strategy Temporal variability Noise assessment Noise mapping Sampling strategy Temporal variability ab: This paper proposes a temporal sampling strategy that increases the accuracy of long-term noise level estimation and allows to establish the estimation error according to the number of sampled days. Days of the week are stratified into working days and weekend days. This research shows how to use measurements of L e q on working days to estimate the corresponding values for weekend days. This is possible because working days have higher noise levels and less variability than weekend days. The improvement in accuracy allows for a reduction in the number of required sampled days compared to taking samples randomly, which would help to reduce the uncertainty in environmental noise assessment. As a reference, to obtain a 90% confidence interval of ± 1 dB for L d a y , the proposed sampling strategy reduces the required measurement days by more than 38%. For L D E N , the reduction is close to 18% of the total number of days. The proposed strategy could be adapted to different environments by simply changing a few parameters. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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