Assessing the influence of the sampling strategy on the uncertainty of environmental noise measurements through the bootstrap method

Mateus, Mário; Carrilho, João Dias; Silva, Manuel Gameiro da

doi:10.1016/j.apacoust.2014.09.021

Cited by 14 publications

(6 citation statements)

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“…In (3) the set of obtained results for the relationship between the uncertainty of the noise equivalent level and the sampling parameters (number ( ) and duration (∆ ) of sampling episodes) allowed to obtain the following generalised expression that may be applied to the various reference periods (day, evening, night), where the coefficients c 1 , α 1 , α 2 and α 3 are characteristic of the site and must be determined experimentally [37] and [44]. Error!…”

Section: Environmental Noisementioning

confidence: 99%

Teaching and researching the indoor environment: From traditional experimental techniques towards web-enabled practices

Pereira

Carrilho

Brito

et al. 2016

Sustainable Cities and Society

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Highlights Summary of recent developments and work at ADAI's Energy, Environment and Comfort research group is presented  The Indoor Live Lab (I2L) and an e-learning course on Indoor Environmental Comfort in Buildings are introduced  The paper aims to present the facilities, instruments and the purposes behind I2L project  Several Indoor Environmental Quality (IEQ) parameters studies are discussed in particular 1 AbstractIn this paper some of the recent developments and ongoing work at the Energy, Environment and Comfort research group of ADAI (Association for the Development of Industrial Aerodynamics), in the areas of Indoor Environmental Quality and Energy Efficiency in Buildings are presented. Summarily, it is showcased a state of the art of the Indoor Live Lab, developed at the Mechanical Engineering Department of the University of Coimbra. The Indoor Live Lab (I2L) is a new platform for research and technology demonstration in IndoorEnvironmental Quality (IEQ). The main motivation for initiating this effort arose from the increasing necessity that researchers, educators and decision makers have for continuously available monitored data on all aspects of building functioning. This paper aims at presenting early developments at the I2L, as well as associated research projects which were at the centre of its creation. Firstly, the objectives of the I2L are presented. Secondly, ongoing research on both residential buildings and services buildings is exposed. After, the several IEQ parameters studies are discussed in particular. This is followed by the I2L description, location and specific features. Finally, a conclusion and future work section is presented.

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Section: Environmental Noisementioning

confidence: 99%

Teaching and researching the indoor environment: From traditional experimental techniques towards web-enabled practices

Pereira

Carrilho

Brito

et al. 2016

Sustainable Cities and Society

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“…Ruiz-Padillo (2014) proposed a methodology to sort, by priority, road stretches requiring appropriate action, identified by their noise problems using a selection of road stretch priority variables weighted according to their influence on the road traffic noise problem. Mateus et al (2015) looked at the influence of the sampling parameters on the uncertainty of the equivalent continuous noise level in environmental noise measurements. They found, for short term measurements, not only the integration time but also the number of samples obtained in order to characterize a given time period have influence on the uncertainty of the result.…”

Section: Relative Importance Of Spatial and Temporal Variablesmentioning

confidence: 99%

Urban Noise Analysis Using Multinomial Logistic Regression

Geraghty

O’Mahony

2016

J. Transp. Eng.

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15The research uses a database of urban noise data collected continually from April 2013 to 16 March 2014 at ten sites in Dublin, Ireland. The first objective of the paper is to investigate if 17 the morning daily noise level peak is related to transport characteristics of households, such 18 as, car ownership levels, the mode by which people travel to work and morning work trip demonstrates that location is the most important variable followed in order by hour of the 26 day, month of the year and weekday, in predicting urban noise levels. Introduction 30Noise in urban environments can be a major source of concern from health and quality of life found that there is emerging evidence that short-term effects of environmental noise, 35particularly when the exposure is nocturnal, maybe followed by long-term adverse cardio 36 metabolic outcomes. Tobías et al (2015) found that exposure to traffic noise should be 37 considered an important environmental factor having a significant impact on health. Sygna et 38 al (2014) found that road traffic noise may be associated with poorer mental health among 39 subjects with poor sleep. 41Other research focuses on noise measurement and modelling. Mehdi (2011) As identified above, the specific objectives addressed by the paper are summarised as 117 follows:Investigate if the daily peak in morning noise levels is related to characteristics of 119 households in the area, such as, car ownership levels, the mode by which people travel 120 to work and work trip departure time. The analysis is done using data from the 2011 121Irish census and noise measurement data collected over a year from five urban sites. The sites at which the monitors are located are presented in Figure 1 where it can be seen that In Figure 2, the range of noise levels experienced across the sites is expressed in terms of LDAY, The data used for the analysis on household transport characteristics are from the 2011 census 164 the times at which people depart for work in the area. 165 Multinomial Logistic Regression 166To address the second objective of the paper, multinomial logistic regression was used to 167 determine the relative importance of location, month of the year, weekday and hour of the 168 day on noise levels. Noise will vary depending on the level of each of those variables but it 169 can also be influenced by other factors e.g. proximity to a busy transport artery, exposure to Where π= probability that the noise level falls in a particular Leq dBA band 203The independent variables were not chosen, as such, rather they were the only available Results 210The results section is divided in two parts. The first presents the results of the analysis which section is divided into sub-sections each focusing on one of those variables. 219 Impact of Household Characteristics on Noise Levels 220 Peak Period Noise Levels 221The first issue to be investigated was the cyclical daily profile evident for all sites, an 222 example of which for site 3 is presented in Figure 3. For this stage of ...

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“…Fort his reason, in the following it is proposed to use different models for constructing confidence intervals by means of the bootstrap method. The bootstrap method has been successfully applied to point estimation of expected value and uncertainty of noise indicators [16,17].…”

Section: Introductionmentioning

confidence: 99%

Bootstrap Confidence Intervals for Noise Indicators

Stępień¹

2016

Acta Acustica united with Acustica

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Five non-classical models of interval estimation based on the bootstrap resampling method are compared in this paper.The non-classical models do not have to assume belonging of random sample to normal distribution. Theoretical basis of the proposed models is presented and an example of calculation process which makes possible determining confidence intervals of the expected value of long-term noise indicators L DEN and L N .The statistical analysis wascarried out for 95% interval widths obtained by using each of these models. The inference of their usefulness wasperformed on the basis of results of non-parametric statistical tests at significance level α = 0.05. The data used to illustrate the proposed solutions and carry out the analysis were results of continuous monitoring of trafficnoise recorded in 2009 in one of the main arteries of Krakow,Poland.

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Assessing the influence of the sampling strategy on the uncertainty of environmental noise measurements through the bootstrap method

Cited by 14 publications

References 7 publications

Teaching and researching the indoor environment: From traditional experimental techniques towards web-enabled practices

Teaching and researching the indoor environment: From traditional experimental techniques towards web-enabled practices

Urban Noise Analysis Using Multinomial Logistic Regression

Bootstrap Confidence Intervals for Noise Indicators

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