Main results of strategic noise maps and action plans in Navarre (Spain)

Arana, Miguel; Martín, Ricardo San; Nagore, Iñaki; Pérez, David

doi:10.1007/s10661-012-2916-2

Cited by 8 publications

(5 citation statements)

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“…The development of a practical framework for strategic noise mapping is considered in [52], while, in [4], a noise mapping in the EU is studied using models and procedures. An analysis of road traffic noise propagation is reported in [5], and strategic noise maps and action plans in Navarre (Spain) are presented in [6]. Advances in the development of common noise assessment methods in Europe, within the CNOSSOS-EU framework for strategic environmental noise mapping, is discussed in [53].…”

Section: Related Work Relevant To the Dynamap Projectmentioning

confidence: 99%

“…Until recently, noise maps were normally obtained by using mean vehicle flows, averaged over a period of one year, but this simple approach clearly lacks accuracy when dealing with varying noise on a daily basis. As a result, noise maps had been evolving towards a multi-source predictive approach [4][5][6][7][8]. It then became clear that instead 'dynamical' (i.e., time dependent) noise maps should be developed for obtaining realistic and accurate noise predictions over shorter time scales.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone

2021

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We review a Dynamap European Life project whose main scope was the design, commissioning, and actual implementation of “real-time” acoustic maps in a district of the city of Milan (District 9, or Z9, composed of about 2000 road stretches), by employing a small number of noise monitoring stations within the urban zone. Dynamap is based on the idea of finding suitable sets of roads displaying similar daily traffic noise behavior, so that one can group them together into single dynamical noise maps. The Dynamap sensor network has been built upon twenty-four monitoring stations, which have been permanently installed in appropriate locations within the pilot zone Z9, by associating four sensors to each one of the six group of roads considered. In order to decide which road stretches belong to a group, a non-acoustic parameter is used, which is obtained from a traffic flow model of the city, developed and tested over the years by the “Enviroment, Mobility and Territory Agency” of Milan (EMTA). The fundamental predictive equation of Dynamap, for the local equivalent noise level at a given site, can be built by using real-time data provided by the monitoring sensors. In addition, the corresponding contributions of six static traffic noise maps, associated with the six group of roads, are required. The static noise maps can be calculated from the Cadna noise model, based on EMTA road traffic data referred to the ‘rush-hour’ (8:00–9:00 a.m.), when the road traffic flow is maximum and the model most accurate. A further analysis of road traffic noise measurements, performed over the whole city of Milan, has provided a more accurate description of road traffic noise behavior by using a clustering approach. It is found that essentially just two mean cluster hourly noise profiles are sufficient to represent the noise profile at any site location within the zone. In order words, one can use the 24 monitoring stations data to estimate the local noise variations at a single site in real time. The different steps in the construction of the network are described in detail, and several validation tests are presented in support of the Dynamap performance, leading to an overall error of about 3 dB. The present work ends with a discussion of how to improve the design of the network further, based on the calculation of the cross-correlations between monitoring stations’ noise data.

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Section: Related Work Relevant To the Dynamap Projectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone

2021

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“…Data required for mapping are noise levels (L Aeq ), road inventory data, geometric features of mapping area, category wise traffic counts, category wise vehicle speed, meteorological data such as wind velocity, humidity, temperature, air pressure (Sonaviya, Tandel, 2019b). The noise maps can be useful at planning stages, or prior evaluation of action plans, or determination of the most polluted areas (Arana et al, 2013). Furthermore, with strategic noise maps developed in this study, an accurate assessment of the number of people exposed to below and above permissible noise standards is possible (Sonaviya, Tandel, 2020).…”

Section: Introductionmentioning

confidence: 99%

Archives of Acoustics

Sonaviya

Tandel

2021

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Noise pollution is a major problem nowadays. In urban context, road traffic is the main source of noise pollution. People directly exposed to road traffic noise suffer from moderate to severe annoyance, headache, stress, feeling of exhaustion, and reduced work performance efficiency. As the sources and severity of noise pollution continue to grow, new approaches are needed to reduce the exposure. In this research, noise abatement has been investigated using a computer simulation model (SoundPLAN essential 4.0). Noise maps were developed using SoundPLAN essential 4.0 software. Noise maps are very beneficial to identify the impact of noise pollution. Data required for mapping are noise data (L Aeq ), road inventory data, geometric features of mapping area, category wise traffic counts, category wise vehicle speed, meteorological data such as wind velocity, humidity, temperature, air pressure. L Aeq observed on all locations of the Central zone of Surat city was greater than the prescribed central pollution control board (CPCB) limits during day time and night time. This paper is focused on using acoustic software for the simulation and calculation methods of controlling the traffic noise. According to the characteristics of traffic noise and the techniques of noise reduction, road traffic noise maps were developed using SoundPLAN essential 4.0 software to predict the scope of road traffic noise. On this basis, four reasonable noise control schemes were used to control noise, and the feasibility and application effect of these control schemes can be verified by using the method of simulation modelling. The simulation results show that L Aeq is reduced by up to 5 dB(A). The excess noise can be efficiently reduced by using the corresponding noise reduction methods.

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“…Noise maps are gaining increasing importance as means for evaluating the noise exposure of the population, especially after the publication of the Directive 2002/49/EC [1] and the 2018 WHO Environmental noise guidelines [2] reporting dose harmful effects of noise on health. Indeed, strategic maps and Action Plans represent a vigorous boost for noise prevention and control [3,4] and have become a common tool for local intervention measures and policymaking [5,6]. Noise mapping are rapidly progressing towards the description of more realistic scenarios through the implementation of techniques of sound source recognition, predictive models and vehicles speed assessment [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak

et al. 2020

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From March 23rd to May 3rd 2020, Italy underwent a complete lockdown in the attempt to contain the spread of the pandemic due to Covid-19 outbreak. During this period, a new kind of environment has been experienced in all cities, resulting in an abatement of traffic noise levels. Consequently, due to the prohibition of all non-essential activities, traffic noise dynamics changed as well. In this paper, we analyse the data recorded from the permanent noise monitoring network installed in the pilot area of the city of Milan, Italy. The results show how, besides a dramatic reduction of the noise levels (about 6 dB on average), also the noise pattern was profoundly changed. This is particularly important in the framework of DYNAMAP, a statistically based European project able to predict traffic noise over an extended area based on the noise recorded by limited number of monitoring stations. The change of the traffic dynamics, resulting in different noise patterns of the normalized hourly median profiles for each sensor, pose some limitations about the use of such predicting tool during extraordinary situations such as that experienced during a lockdown.

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Main results of strategic noise maps and action plans in Navarre (Spain)

Cited by 8 publications

References 4 publications

Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone

Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone

Archives of Acoustics

Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak

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