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Assimilation of mobile phone measurements for noise mapping of a neighborhood

Raphaël Ventura 1 Vivien Mallet 1 Valérie Issarny 2 
1 ANGE - Numerical Analysis, Geophysics and Ecology
Inria de Paris, LJLL (UMR_7598) - Laboratoire Jacques-Louis Lions
Abstract : Noise maps are a key asset in the elaboration of urban noise mitigation policies. However, simulation-based noise maps are subject to high uncertainties, and the estimation of population exposition to noise pollution generally relies on static averages over an extended period of time. This paper introduces a method to produce hourly noise maps based on temporally averaged simulation maps and mobile phone audio recordings. The data assimilation method produces an analysis noise map which is the so-called best linear unbiased estimator: it merges the simulated map and the measurements based on respective uncertainties so that the analysis map has minimum error variance. The method is illustrated through a neighborhood-wide experiment. A systematic study of the errors associated with both the simulation map and the observations (measurement error, temporal representativeness error, location error) is carried out. Two LAeq,1h maps are produced, corresponding, respectively, to a morning and an evening time slot. The analysis maps achieve a reduction of at least 25% of root-mean-square error. The a posteriori error variance of the maps are generally around 50% of the a priori error variance in the vicinity of the observed locations.
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Submitted on : Wednesday, October 31, 2018 - 2:48:58 PM
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Raphaël Ventura, Vivien Mallet, Valérie Issarny. Assimilation of mobile phone measurements for noise mapping of a neighborhood. Journal of the Acoustical Society of America, Acoustical Society of America, 2018, 144 (3), pp.1279 - 1292. ⟨10.1121/1.5052173⟩. ⟨hal-01909933⟩



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