Can weekly noise levels of urban road traffic, as predominant noise source, estimate annual ones?

Abstract

The effects of noise pollution on human quality of life and health were recognised by the World Health Organisation a long time ago. There is a crucial dilemma for the study of urban noise when one is looking for proven methodologies that can allow, on the one hand, an increase in the quality of predictions, and on the other hand, saving resources in the spatial and temporal sampling. The temporal structure of urban noise is studied in this work from a different point of view. This methodology, based on Fourier analysis, is applied to several measurements of urban noise, mainly from road traffic and one-week long, carried out in two cities located on different continents and with different sociological life styles (Cáceres, Spain and Talca, Chile). Its capacity to predict annual noise levels from weekly measurements is studied. The relation between this methodology and the categorisation method is also analysed.

Statistical requirements for noise mapping based on mobile measurements using bikes

“…For the case of noise maps based on measurements, it is necessary to perform spatio-temporal sampling. Thus, to improve the temporal sampling process, several techniques have been proposed to estimate long-term noise levels from short-term measurements (Safeer et al, 1972;Gaja et al, 2003;Ng and Tang, 2008;Romeu et al, 2011;Brocolini et al, 2013;Prieto and Barrigón, 2015;Prieto et al, 2016;Quintero et al, 2018). For the spatial sampling, many ways reduce the amount of sampling points through street classifications have also been proposed (Barrigón Morillas et al, 2005;Romeu et al, 2006;Zambon et al, 2016;Jiménez et al, 2008;Quintero et al, 2019).…”

Time-Series Prediction of Environmental Noise for Urban IoT Based on Long Short-Term Memory Recurrent Neural Network

“…IoT must overcome some challenges to extract new insights from data [49]. In previous studies [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], environmental noise prediction mainly focused on the spatial propagation of noise, and there were few studies focused on the variation of noise in short-term. The noise data set used in this study is in seconds, which is more random.…”

A low-cost noise measurement device for noise mapping based on mobile sampling

“…To create a noise map based on measurements, the levels shown in the noise map must be representative, which requires having a large amount of data in both the duration of the measurements [1][2][3][4] and in sampling sites [5,6]. The measurement equipment should fulfill minimum requirements regarding its accuracy which makes more expensive the sampling process.…”