Geostatistical modeling of sound propagation: Principles and a field application experiment
| Autor: | Olivier Baume, Hans Wackernagel, Michel Berengier, Benoit Gauvreau, Fabrice Junker, Jean-Paul Chilès |
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| Přispěvatelé: | Department of Environmental Sciences, Wageningen University and Research [Wageningen] (WUR), Division Entretien, Sécurité et Acoustique des Routes (LCPC/ESAR), Laboratoire Central des Ponts et Chaussées (LCPC)-PRES Université Nantes Angers Le Mans (UNAM), Laboratoire Central des Ponts et Chaussées (LCPC), EDF (EDF), Centre de Géosciences (GEOSCIENCES), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) |
| Rok vydání: | 2009 |
| Předmět: |
Acoustics and Ultrasonics
Point source Computation 01 natural sciences Leerstoelgroep Landdynamiek 03 medical and health sciences 0302 clinical medicine Arts and Humanities (miscellaneous) [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] Kriging 0103 physical sciences Statistics Life Science Land Dynamics 030223 otorhinolaryngology Variogram 010301 acoustics ComputingMilieux_MISCELLANEOUS Remote sensing [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] PE&RC Field (geography) Noise Aeroacoustics Geology Interpolation |
| Zdroj: | Journal of the Acoustical Society of America Journal of the Acoustical Society of America, Acoustical Society of America, 2009, 126 (6), pp.2894-2904 Journal of the Acoustical Society of America, 126(6), 2894-2904 Journal of the Acoustical Society of America 126 (2009) 6 |
| ISSN: | 0001-4966 1520-8524 |
| DOI: | 10.1121/1.3243301 |
| Popis: | The assessment of noise sources for environmental purposes requires reliable methods for mapping. Numerical models are well adapted for sophisticated simulations and sensitivity analyses; however, real-time mapping of large frequency bands must be based on fast and acceptable computations and honor in situ measurements. In this paper, a real-time mapping procedure of noise exposure is proposed. The procedure is based on geostatistical modeling of spatial variations and applied to a case study taken from an experimental campaign, where a point source was placed on a flat meadow. An analytical approximation of the acoustic field was first computed with the Embleton model. The difference between this approximation and the actual measurements (L(eq15 min) 1/3-octave bands samples from 19 microphones spread over the meadow) showed spatial structure, which has been modeled with a variogram. Finally, the geostatistical technique of kriging with external drift provided an optimal interpolation of the acoustic field data while encapsulating the first approximation from the Embleton model. Systematic geostatistical inference and real-time mapping with the proposed procedure can be envisaged in simple cases. |
| Databáze: | OpenAIRE |
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