scholarly journals Annoyance from Road Traffic, Trains, Airplanes and from Total Environmental Noise Levels

2015 ◽  
Vol 13 (1) ◽  
pp. 90 ◽  
Author(s):  
Martina Ragettli ◽  
Sophie Goudreau ◽  
Céline Plante ◽  
Stéphane Perron ◽  
Michel Fournier ◽  
...  
Keyword(s):  
Road Traffic ◽  
Environmental Noise ◽  
Noise Levels

scholarly journals Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal

2016 ◽  
Vol 13 (8) ◽  
pp. 809 ◽  
Author(s):  
Stéphane Perron ◽  
Céline Plante ◽  
Martina Ragettli ◽  
David Kaiser ◽  
Sophie Goudreau ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Road Traffic ◽  
Environmental Noise ◽  
Noise Levels

scholarly journals Road Traffic Noise on the Santa Marta City Tourist Route

2021 ◽  
Vol 11 (16) ◽  
pp. 7196
Author(s):  
Dámaris A. Jiménez-Uribe ◽  
Darwin Daniels ◽  
Zoë L. Fleming ◽  
Andrés M. Vélez-Pereira
Keyword(s):  
Traffic Flow ◽  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Time Of Day ◽  
Road Traffic Noise ◽  
Sampling Point ◽  
Heavy Vehicles ◽  
Noise Levels

The objective of this study was to determine the influence of vehicular traffic on the environmental noise levels of the Santa Marta City tourist route on the Colombian coast. An analysis of vehicle types and frequencies at various times of the day over nearly a year helped to track the main sources of environmental noise pollution. Five sampling points were selected, which were distributed over 12 km, with three classified as peripheral urban and two as suburban. The average traffic flow was 966 vehicles/h and was mainly composed of automobiles, with higher values in the peripheral urban area. The noise level was 103.3 dBA, with background and peak levels of 87.2 and 107.3 dBA, respectively. The noise level was higher during the day; however, there were no differences between weekdays and weekends. The results from the analysis of variance showed that the number of vehicles and the noise levels varied greatly according to the time of day and sampling point location. The peak and mean noise levels were correlated with the number of automobiles, buses and heavy vehicles. The mean noise levels were similar at all sample points despite the traffic flow varying, and the background noise was only correlated for automobiles (which varied much more than the heavy vehicles between day and night).

scholarly journals MODELLING URBAN NOISE IN CITYGML ADE: CASE OF THE NETHERLANDS

2017 ◽  
Vol IV-4/W5 ◽  
pp. 73-81 ◽  
Author(s):  
K. Kumar ◽  
H. Ledoux ◽  
T. J. F. Commandeur ◽  
J. E. Stoter
Keyword(s):  
Urban Areas ◽  
Input Data ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Motor Vehicles ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Mapping ◽  
Urban Noise

Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More than 44 % of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted value prescribed by the Environmental Noise Directive for road traffic noise. With continuously increasing population and number of motor vehicles and industries, it is very unlikely to hope for noise levels to diminish in the near future. Therefore, it is necessary to monitor urban noise, so as to make mitigation plans and to deal with its adverse effects. The 2002/49/EC Environmental Noise Directive aims to determine the exposure of an individual to environmental noise through noise mapping. One of the most important steps in noise mapping is the creation of input data for simulation. At present, it is done semi-automatically (and sometimes even manually) by different companies in different ways and is very time consuming and can lead to errors in the data. In this paper, we present our approach for automatically creating input data for noise simulations. Secondly, we focus on using 3D city models for presenting the results of simulation for the noise arising from road traffic and industrial activities in urban areas. We implemented a few noise modelling standards for industrial and road traffic noise in CityGML by extending the existing Noise ADE with new objects and attributes. This research is a steping stone in the direction of standardising the input and output data for noise studies and for reconstructing the 3D data accordingly.

scholarly journals The “sound of silence” in Granada during the COVID-19 lockdown

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Jerónimo Vida Manzano ◽  
José Antonio Almagro Pastor ◽  
Rafael García Quesada ◽  
Francesco Aletta ◽  
Tin Oberman ◽  
...  
Keyword(s):  
Human Activity ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Sources ◽  
Comparison Results ◽  
The Impact ◽  
The City

Abstract Exceptional circumstances in the city of Granada due to the COVID-19 lockdown have provided the opportunity to characterise the impact of humans on its urban acoustic climate. Traditional environmental noise management and urban sound planning usually take into account noise sources in the city, such as industrial activities or road traffic noise, in model estimations, as well as in empirical research. But trying to isolate human impact by itself, human activity including social activity, walking, talking or just going around the city, has always been a difficult or even impossible task. The COVID-19 lockdown measures have provided the opportunity to study urban climate as never before, affected just by natural or animal noise sources. Previous soundscape research at some iconic sites in the city of Granada carried out in 2019 before the lockdown and a special measuring campaign carried out at the same locations during the lockdown in 2020 offered valuable information on sound levels and local characteristics in order to carry out this comparison. Results show a great change in environmental noise levels that is interesting not only because of its magnitude, but also for its implications, especially at those sites where social human activity was an identifying characteristic. Natural or animal sounds became surprisingly evident at some study sites, especially where road traffic noise dramatically decreased, leading to significantly lower background noise levels. Important spectral changes are observed before and during the lockdown, suggesting a shift from anthropic to animal sources in the acoustic environment.

scholarly journals Strategic directions in implementation of environmental noise directive in international and national legislation

2006 ◽  
Vol 4 (1) ◽  
pp. 21-34 ◽  
Author(s):  
D. Cvetkovic ◽  
M. Prascevic
Keyword(s):  
Road Traffic ◽  
Local Level ◽  
Environmental Noise ◽  
Green Paper ◽  
Noise Levels ◽  
Noise Emission ◽  
Noise Sources ◽  
Noise Mapping ◽  
The Public

Until 1996, the noise policy in Europe had concentrated on the regulations of noise emission from noise sources as road traffic, aircraft and equipment used outdoors. Although noise limits have become increasingly stringent over the years, no corresponding significant reduction in noise emission has been observed. In response to this, the European noise policy has been revised to focus on noise reception. Thus, the Green Paper from 1996 defines as the basic aim of future noise policy that "no person should be exposed to noise levels which endanger health and quality of life". The structure of a new future noise policy has to be based on the Directive on the Assessment and Management of Environmental Noise, 2002/43/EC. The Directive defines the three key elements: assessment of environmental noise through strategic noise mapping, implementation of action plans to reduce noise where necessary and information for the public about noise levels and its effects. The Directive defines the common noise indicators and methods for strategic noise mapping as well as the deadline for the Directive implementation. The Directive implementation at national and local level means enacting the new acts or amending existing acts. In this paper, the proposal of steps that can be taken for harmonization of national acts with the basic principles and elements of the Directive is presented and discussed.

scholarly journals Aggregate Impact of Anomalous Noise Events on the WASN-Based Computation of Road Traffic Noise Levels in Urban and Suburban Environments

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 609 ◽  
Author(s):  
Francesc Alías ◽  
Ferran Orga ◽  
Rosa Ma Alsina-Pagès ◽  
Joan Claudi Socoró
Keyword(s):  
Sensor Networks ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Integration Time ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Mapping ◽  
Acoustic Data

Environmental noise can be defined as the accumulation of noise pollution caused by sounds generated by outdoor human activities, Road Traffic Noise (RTN) being the main source in urban and suburban areas. To address the negative effects of environmental noise on public health, the European Environmental Noise Directive requires EU member states to tailor noise maps and define the corresponding action plans every five years for major agglomerations and key infrastructures. Noise maps have been hitherto created from expert-based measurements, after cleaning the recorded acoustic data of undesired acoustic events, or Anomalous Noise Events (ANEs). In recent years, Wireless Acoustic Sensor Networks (WASNs) have become an alternative. However, most of the proposals focus on measuring global noise levels without taking into account the presence of ANEs. The LIFE DYNAMAP project has developed a WASN-based dynamic noise mapping system to analyze the acoustic impact of road infrastructures in real time based solely on RTN levels. After studying the bias caused by individual ANEs on the computation of the A-weighted equivalent noise levels through an expert-based dataset obtained before installing the sensor networks, this work evaluates the aggregate impact of the ANEs on the RTN measurements in a real-operation environment. To that effect, 304 h and 20 min of labeled acoustic data collected through the two WASNs deployed in both pilot areas have been analyzed, computing the individual and aggregate impacts of ANEs for each sensor location and impact range (low, medium and high) for a 5 min integration time. The study shows the regular occurrence of ANEs when monitoring RTN levels in both acoustic environments, which are especially common in the urban area. Moreover, the results reveal that the aggregate contribution of low- and medium-impact ANEs can become as critical as the presence of high-impact individual ANEs, thus highlighting the importance of their automatic removal to obtain reliable WASN-based RTN maps in real-operation environments.

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Herni Halim ◽  
◽  
Nur Fatin Najiyah Hamid ◽  
Mohamad Firdaus Mahamad Yusob ◽  
Nur Atiqah Mohamad Nor ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Different Types

scholarly journals People exposed to traffic noise in european agglomerations from noise maps. A critical review

Noise Mapping ◽  
2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Miguel Arana ◽  
Ricardo San Martin ◽  
Juan C. Salinas
Keyword(s):  
Road Traffic ◽  
Noise Source ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Action Plans ◽  
Implementation Phase ◽  
Pollution Levels ◽  
Input Variables ◽  
The Impact

AbstractTwo of the main objectives of the European Directive on environmental noise are, firstly, to unify acoustic indices for assessing environmental noise and, secondly, to standardize assessment methodologies. The ultimate goal is to objectively and comparably manage the impact and evolution of environmental noise caused both by urban agglomerations and by traffic infrastructures (roads, rails and airports). The use of common indices and methodologies (together with five-year plan assessment required by the authorities in charge) should show how noise pollution levels are evolving plus the effectiveness of corrective measures implemented in the action plans. In this paper, available results fromnumerous European agglomerations (with particular emphasis on Spanish agglomerations) are compared and analysed. The impact and its evolution are based on the percentage of people exposed to noise. More specifically, it demonstrates the impact caused by road traffic, which proves to be the main noise source in all agglomerations. In many cases, the results are extremely remarkable. In some case, the results are illogical. For such cases, it can be concluded that either assessment methodologies have been signifi- cantly amended or the input variables to the calculation programs have been remarkably changed. The uncertainty associated with the results is such that, in our opinion, no conclusions can be drawn concerning the effectiveness of remedial measures designed within the action plans after the Directive’s first implementation Phase.

scholarly journals Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 456-478 ◽  
Author(s):  
Irene Lebrusán ◽  
Jamal Toutouh
Keyword(s):  
Smart City ◽  
Road Traffic ◽  
Positive Impact ◽  
Noise Levels ◽  
Pm 2.5 ◽  
Population Concentration ◽  
Traffic Reduction ◽  
Definition Of ◽  
Pm 10 ◽  
The City

Population concentration in cities brings new risks as an increase in pollution, which causes urban health problems. In order to address this problem, traffic reduction measures are being implemented as pedestrianization areas; they are the definition of Low Emissions Zones (LEZs). When the effectiveness of these types of measures is in doubt, smart city tools provide data that can be used to scientifically asses their impact. This article analyzes the situation of Madrid Central (Spain), a LEZ subject to controversy. We apply statistical and regression analyses to evaluate the effectiveness of this measure to reduce air pollution and outdoor noise. According to the results, this LEZ was able to significantly reduce NO 2 , PM 2.5 , and PM 10 concentration locally, having the same positive impact in the rest of the city. In terms of noise, this measure was able to mitigate background noise levels generated by road traffic.

scholarly journals Environmental noise, its types and effects on health

2021 ◽  
pp. 41-48
Keyword(s):  
New Technologies ◽  
Road Traffic ◽  
Human Life ◽  
Traffic Noise ◽  
Well Being ◽  
Environmental Noise ◽  
Road Traffic Noise ◽  
Negative Effects ◽  
Railway Traffic ◽  
The Impact

Noise can be defined as an undesirable sound that pollutes the environment. If noise is continuous and exceeds certain levels, negative effects on health can be observed. In recent years, the impact of environmental noise (road traffic noise, railway traffic noise, air traffic noise and industrial noise) on human health has come under increasingly intense scrutiny. Noise can cause a number of negative effects on health that directly or indirectly affect humans. The occurrence of some certain and harmful health effects drives the onset of others and may contribute to the development of various diseases. Health is not only a state of physical well-being, but also mental well-being. Mental health primarily depends on the quality of life, which can be affected by various environmental factors, such as noise. An important aspect of fighting noise is the most effective protection of the population by avoiding sources of noise and reducing it. This can be achieved by introducing new technical solutions and new technologies, including devices that generate less noise. Another important measure is educating the society and influencing the change of individual and collective behavior, which may contribute to reducing the harmful factor, which is noise in human life, and minimize the resulting negative effects on health.

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