A method of assessing measures to reduce road traffic noise: A case study in Santiago, Chile

Dintrans, Alejandro; Préndez, Margarita

doi:10.1016/j.apacoust.2013.06.012

Cited by 44 publications

(22 citation statements)

References 8 publications

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“…In addition, in terms of studies on noise control in urban areas, there were several studies performing noise control in urban [26][27][28][29][30][31][32]. Noise mapping has an important role to indicate noise exposure in the urban scape.…”

Section: Noise Control On the Aircraft Noisementioning

confidence: 99%

Establishing Grounds for Building Orientation Mapping and Validation of Noise Level Correlation Modeling on Aircraft Take-off and Landing

2019

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This research highlights correlation modeling between residential buildings orientation toward the runway as noise source and noise level. Many studies used noise mapping to identify noise performance in cities, but none of them discussed building orientation as an effort to reduce noise. This research aims to resolve the noise exceeding threshold of 55 dB for landed residential area. The method used was empirical experiments based on ISO 1996-1 using a 1:1-scaled building block model that was rotatable on its axis on various orientation angles. To examine the difference in sound reduction patterns, measurements were carried out during aircraft take-off and landing in three measurement conditions: outside the building model (OS), inside the model with both closed (CW) and open window (OW). The relative values of sound reduction in every angle were mapped and a Correlation Modeling was then empirically developed and theoretically validated by origin-8 software. As a result, the empirical validation formula deviation averaged only 1.20% and 1.13% during take-off and landing respectively from the actual noise and the theoretical validation. Furthermore, the new modeling was verified as a derivation from the grand theory of inverse square law and could be applied for master plan design.

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Section: Noise Control On the Aircraft Noisementioning

confidence: 99%

Establishing Grounds for Building Orientation Mapping and Validation of Noise Level Correlation Modeling on Aircraft Take-off and Landing

2019

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“…As such, Olayinka 10 conducted a study in Ilorin metropolis, Nigeria and found that the highest traffic noise index (TNI) and noise pollution level (NPL) were 122 dBA and 106 dBA at a station adjacent to the road junction, respectively. 7 Chowdhury et al 11 revealed through an analysis of daytime traffic noise level in Kolkata, India revealed that the fluctuation of noise levels (NC) was higher in non-peak traffic hours. Besides, the average of TNI and NPL was equal to 103.7 AE 4.56 dBA and 96.25 AE 2.76 dBA in peak traffic hours, respectively.…”

Section: Introductionmentioning

confidence: 99%

Analytical comparison of traffic noise indices—A case study in District 14 of Tehran City

Nassiri

Karimi

Monazzam

et al. 2016

Journal of Low Frequency Noise, Vibration and Active Control

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Noise pollution is a growing concern of majority of people around the world. Accordingly, the present study was carried out to analyze, for the first time, traffic noise indices and to introduce an optimal noise index for road traffic noise. For this purpose, the District 14 of Tehran Metropolitan City was selected as a case study wherein a total number of 91 stations were selected so as to cover noise susceptible areas. The measurements were performed at three occasions of morning, noon, and evening. In order to estimate the traffic noise index, noise pollution level, and noise impact index, the L 10 , L 50 , and L 90 , were recorded at each station with 40 replicates. According to the obtained results, among different land uses in the study area, the maximum and minimum traffic noise index values of 113.7 dBA and 50.1 dBA were reported from educational land use. The highest noise pollution level of 96.8 dBA was measured at the educational land use while the lowest noise pollution level of 65 dBA was recorded at the medical land use. The noise impact index value was estimated at 1.5 for the entire region indicating noise level is much higher than the acceptable threshold for residents. Overall, noise pollution level would be a better index when the objective is to measure the overall noise pollution condition in the study area, whereas it gives much more weight to the difference between the ambient and peak noise levels. However, in situations where traffic-induced noise measurement is required, the traffic noise index seems more appropriate. Further, the noise impact index would be more useful to quantify the effect of noise pollution on exposed people.

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“…Thus, it is essential that proper selection and implementation of noise control measures as suggested in Figure 13 be executed to bring the ambient noise levels below the recommended standards. It is also recommended that further expansion of the diversified network thus established should be undertaken in these cities so as to develop noise maps of these cities; evaluate the population exposed to higher noise levels; assess the environmental noise impact over the sensitive receptors and also serve as support tool for decision-making process concerning local action plans as highlighted in recent study of Dintrans and Préndez 36 . It is also recommended that studies on noise annoyance and effect of noise on human health should be conducted in parallel exclusively for the Indian scenario so as to quantify the environmental noise impact assessment in Indian cities.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

“…Thus, various control measures such as appropriate land use planning and creating buffer zones for sensitive receptors; installation of noise barriers for hospitals, schools, colleges, old age homes; enforcement of maximum speed limit for heavy vehicles in residential areas; development of poro-elastic road surfaces for traffic noise control; establishment of no honking zones especially for residential and silence zones and traffic management can be instrumental in ambient noise control. However, the best practicable and economical option (BPEO) may be executed considering all these possible noise abatement alternatives [29][30][31][32][33][34][35][36][37] for each of these sites under consideration individually.…”

Section: Overall Noise Scenariomentioning

confidence: 99%

Study on the Establishment of a Diversified National Ambient Noise Monitoring Network in Seven Major Cities of India

et al. 2017

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We describe the diversified National Ambient Noise Monitoring Network (NANMN) set up across 7 major cities of India and covering 70 stations for continuous noise monitoring throughout the year. The annual average L day (06-22 h) and L night (22-06 h) values observed in 2015 for these 70 locations are described. Of these, 25 locations are in commercial zones, 12 in industrial, 16 in residential and 17 in silence zones. Each city has 10 noise monitoring stations installed for analysing environmental noise pollution levels round the clock (24  365 h). The long-term noise monitoring shows that ambient noise levels are very high compared to the recommended standards for some sites and thus noise abatement measures are essentially required for controlling these levels. The present study is focused on evaluation, analysis and reporting of environmental noise pollution in seven major cities of India and is instrumental in planning for the noise abatement measures for controlling noise pollution in these cities. Such a noise monitoring network established in India is unique and one of the largest noise monitoring networks of its kind across the globe. Keywords: Day equivalent level, day-night average sound level, National Ambient Noise Monitoring Network, night equivalent level.NOISE pollution has become a serious concern over the past several years in India. With growing vehicular population and urbanization, it is imperative to monitor the ambient noise levels and devise suitable measures for control to avoid health hazards and annoyance faced by the community. The evidence for effects of environmental noise on health is strongest for annoyance, sleep and cognitive performance in adults and children. The occupational noise exposure also shows some association with high blood pressure 1 . There have been many such studies conducted so far on the noise exposure and correlation with human blood pressure 2-5 . Meta-analyses have been carried out to derive the exposure-response relationships that can be used for quantitative health impact assessments 6 . The meta analysis of 24 cross-sectional studies on the relationship between road traffic noise and prevalence of hypertension reported an odds ratio (OR) of 1.07 (95% confidence interval (CI) = 1.02-1.12, P < 0.05) per 10 dB increase of 16 h day-time average road traffic noise level (L Aeq,16 h ) in the range of <50 to >75 dB (refs 7, 8). In India, there have been limited studies carried out on correlating the effect of noise on human health. A recent study provides evidence that road traffic noise is a serious cause of concern 9 . The study infers that association between transportation noise exposure and cardiovascular disease is evident, but not at significant level. A similar study suggests epidemiological evidence that exposure to road traffic noise of

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A method of assessing measures to reduce road traffic noise: A case study in Santiago, Chile

Cited by 44 publications

References 8 publications

Establishing Grounds for Building Orientation Mapping and Validation of Noise Level Correlation Modeling on Aircraft Take-off and Landing

Establishing Grounds for Building Orientation Mapping and Validation of Noise Level Correlation Modeling on Aircraft Take-off and Landing

Analytical comparison of traffic noise indices—A case study in District 14 of Tehran City

Study on the Establishment of a Diversified National Ambient Noise Monitoring Network in Seven Major Cities of India

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