Journal articles: 'Noise pollution. Noise. Noise mapping'

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Mikhno, O., V. Dobrovolsky, and O. Mykolaenko. "EVALUATED MAPPING OF NOISE POLLUTION OF URBANIZED TERRITORY." Visnyk Taras Shevchenko National University of Kyiv. Military-Special Sciences, no. 1 (43) (2020): 61–65. http://dx.doi.org/10.17721/1728-2217.2020.43.61-65.

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Due to the acceleration of scientific and technological progress in the word, the level of traffic flows, industrialization, thenumber of automotive and technical equipment of the urban economy has increased, as a result of which people are constantlyexposed to high-intensity noise. However, few people know that, by its effect on the human body, noise is more harmful thanchemical pollution. Constant exposure to noise not only reduces hearing, but also causes other harmful effects – ringing in theears, dizziness, headache, increased fatigue. People working in noisy conditions have an increased level of neuropsychiatricdisorders.The article discusses the algorithm for evaluative mapping of noise pollution in the settlement area, which will ensurebringing the city territory to sanitary standards. The resulting noise map, which should be part of the master plan, captures thecurrent and future state of the noise regime in the city. Accurate noise maps require the analysis of large number of differentnoise sources and, as a result, are very costly, although in most cases only an estimate of the noise loading is required.Therefore, it is advisable to build a hierarchy of noise sources and take into account the most significant. Such the mostsignificant source of noise in settlements, as a rule, is a road network - streets and lanes on which movement of auto transport isallowed. The procedure for creating a geospatial model of noise pollution in the environment of a geographic information systemdescribed in the article includes creating a multibuffer for each noise source, translating the resulting vector image into a rastersurface, superposition of individual object noise rasters, and creating an integrated evaluated map. Formed ways to improve thenoise situation based on the results.

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Alías, Francesc, Rosa Ma Alsina-Pagès, Ferran Orga, and Joan Claudi Socoró. "Detection of Anomalous Noise Events for Real-Time Road-Traffic Noise Mapping: The Dynamap’s project case study." Noise Mapping 5, no. 1 (July 1, 2018): 71–85. http://dx.doi.org/10.1515/noise-2018-0006.

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Abstract Environmental noise is increasing year after year, especially in urban and suburban areas. Besides annoyance, environmental noise also causes harmful health effects on people. The Environmental Noise Directive 2002/49/EC (END) is the main instrument of the European Union to identify and combat noise pollution, followed by the CNOSSOS-EU methodological framework. In compliance with the END legislation, the European Member States are required to publish noise maps and action plans every five years. The emergence of Wireless Acoustic Sensor Networks (WASNs) have changed the paradigm to address the END regulatory requirements, allowing the dynamic ubiquitous measurement of environmental noise pollution. Following the END, the LIFE DYNAMAP project aims to develop a WASN-based low-cost noise mapping system to monitor the acoustic impact of road infrastructures in real time. Those acoustic events unrelated to regular traffic noise should be removed from the equivalent noise level calculations to avoid biasing the noise map generation. This work describes the different approaches developed within the DYNAMAP project to implement an Anomalous Noise Event Detector on the low-cost sensors of the network, considering both synthetic and real-life acoustic data.Moreover, the paper reflects on several open challenges, discussing how to tackle them for the future deployment of WASN-based noise monitoring systems in real-life operating conditions.

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Alam, Pervez, Kafeel Ahmad, S. S. Afsar, and Nasim Akhtar. "3D noise mapping for preselected locations of urban area with and without noise barriers: A case study of Delhi, India." Noise Mapping 7, no. 1 (May 4, 2020): 74–83. http://dx.doi.org/10.1515/noise-2020-0006.

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AbstractNoise pollution has been rising as a critical issue in recent days particularly for the people living in urban areas. This study has been conducted to find out the effects of traffic induced noise on nearby residential building through 3D noise mapping with and without noise Barriers. Monitoring has been carried out at various densely populated preselected locations of Delhi, India. Thereafter, 3D noise mapping has been done using hourly average noise levels for the locations exposed with maximum noise. The developed 3D noise map shows the variation of noise level along X, Y and Z direction for all selected locations before and after installation of noise barriers. Moreover, the result also shows that exact assessment of noise impact is possible through 3D noise mapping, when a multistory building close to the source of noise is taken into consideration. This paper also elaborates the adequate height, distance and NRC value of noise barrier to reduce the effect of road traffic noise on nearby high rise building. Reduction pattern of noise level can easily be visualized and evaluated by using these maps. This type of study could support decision makers during adaptation of suitable remedial measures.

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Aziz, Md Abdul, Ahasanul Karim, Md Mehedi Hassan Masum, and Kazi Kader Newaz. "Evaluation of Noise Environment and Noise Mapping with ArcGIS in Chittagong City, Bangladesh." Journal of Korean Society of Environmental Engineers 43, no. 4 (April 30, 2021): 230–40. http://dx.doi.org/10.4491/ksee.2021.43.4.230.

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Objectives : Noise pollution in Chittagong City of Bangladesh is a big concern because of huge population growth and urbanization. The objective of the study was to evaluate and mapping the noise levels in twelve locations of this city at different periods.Methods : Noise level data were collected at various locations by a precision grade sound level meter and the noise pollution parameters (Lmin, LAeq,2h and Lmax) were calculated. Furthermore, the noise pollution maps of Chittagong City were developed using geographical information system to address the locations which are prone to the environmental hazards.Results and discussion : The study revealed that the average noise levels were 64.6, 76.9, and 75.5 dB(A) for residential, commercial and silence zones, respectively. The interpolated noise maps showed that noise environment of this city was unsatisfactory, especially, in the areas of New Market, Nasirabad, and Bawa School & College were exposed to high noise pollutions. The afternoon and evening periods were experiencing higher noise pollution in the commercial and silence zones than the morning period of the day.Conclusions : The study suggests that the noise levels are above the acceptable limit and hence urgent measures should be taken into consideration to control the level of noise pollution in the city.

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Sonaviya, Dipeshkumar R., and Bhaven N. Tandel. "Integrated road traffic noise mapping in urban Indian context." Noise Mapping 7, no. 1 (June 12, 2020): 99–113. http://dx.doi.org/10.1515/noise-2020-0009.

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AbstractRoad traffic noise has been recognized as a serious issue that affects the urban regions. Due to urbanization and industrialization, transportation in urban areas has increased. Traffic noise characteristics in cities belonging to a developing country like India are highly varied compared to developed nations because of its heterogeneous conditions. The objective of the research study is to assess noise pollution due to heterogeneous traffic conditions and the impact of horn honking due to un-authorized parked vehicles on the main roadside. Noise mapping has been done using the computer simulation model by taking various noise sources and noise propagation to the receiver point. Traffic volume, vehicular speed, noise levels, road geometry, un-authorized parking, and horn honking were measured on tier-II city roads in Surat, India. The study showed not so significant correlation between traffic volume, road geometry, vehicular speed and equivalent noise due to heterogeneous road traffic conditions. Further, analysis of traffic noise showed that horn honking due to un-authorized parked vehicles contributed an additional up to 11 dB (A), which is quite significant. The prediction models such as U.K’s CoRTN, U.S’s TNM, Germany’s RLS-90 and their modified versions have limited applicability for heterogeneity. Hence, the noise prediction models, which can be used for homogeneous road traffic conditions are not successfully applicable in heterogeneous road traffic conditions. In this research, a new horn honking correction factor is introduced with respect to unauthorized parked vehicles. The horn honking correction values can be integrated into noise model RLS-90, while assessing heterogeneous traffic conditions.

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Dubey, R., S. Bharadwaj, M. I. Zafar, V. Bhushan Sharma, and S. Biswas. "COLLABORATIVE NOISE MAPPING USING SMARTPHONE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 24, 2020): 253–60. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-253-2020.

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Abstract. Noise pollution is considered to be one of the most prevalent environmental challenges affecting human health. Noise pollution is increasing in cities needing techniques to monitor and predict the noise. The monitoring of traffic noise levels in different parts of the cities at different times has become very difficult due to logistic constraints. It is thus required to measure the noise levels at certain strategic locations, such as, near the noise sources (e.g., roads), and then to utilize it to predict the noise levels at surrounding locations. The challenge of monitoring the noise near several road crossings in a city can be reduced using a smartphone-based noise monitoring technique. However, the prediction of noise levels and showcase it as maps require terrain data, noise data, and noise prediction models. The requirement of terrain data can be met using open-source terrain data, from which various terrain parameters can be extracted and integrated with a standard prediction model on the web platform to predict the noise map for an area. Smartphone-based noise monitoring and its subsequent mapping can be a very popular and effective option, which uses a crowdsourcing approach. The entire methodology is tried to be applied over Lucknow city in India. Noise levels are monitored at three different slots, daily, over 14 road crossings using the smartphone-based app. Further, collected noise levels were calibrated against standard noise meter to ascertain accurate noise levels for these locations. Thereafter, three categories of noise environments are chosen from it and mapped using open-source satellite images and standard noise models, over the web on the GIS platform. The predicted noise levels on the maps were verified with the recorded noise data from similar locations using standard noise meter. For these three crossings at different times the predictions are found to be accurate within ±4.5 dB.

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Sonaviya, Dipeshkumar R., and Bhaven N. Tandel. "2-D noise maps for tier-2 city urban Indian roads." Noise Mapping 6, no. 1 (January 1, 2019): 1–7. http://dx.doi.org/10.1515/noise-2019-0001.

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Abstract In today’s era, vehicular noise pollution has been identified as a serious danger that influence the attribute of the urban regions. To identify the influence of noise effects, noise maps are very useful. A noise mapping study has been carried out to study the propagation of urban road traffic noise in the areas along with field measurements. The computer simulation model (Sound- PLAN software) is used to developed noise maps. In developing nations like India, traffic composition is heterogeneous. These traffic compositions contain vehicles, which have different sizes, speeds variations and operating systems. Because of fluctuating speeds, deficiency of lane disciplines, and non-authorized parking on main road lanes, honking events becomes inevitable, which changes and affects the urban soundscape of nations like India. Due to horn events (heterogeneous traffic condition), noise level (LAeq) increase by 0.5–8 dB (A) as compared to homogeneous traffic conditions.

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Park, Tae Hong, Minjoon Yoo, Charles Shamoon, Christopher Dye, Stacey Hodge, and Asheque Rahman. "Mitigating noise and traffic congestion through measuring, mapping, and reducing noise pollution." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3801. http://dx.doi.org/10.1121/1.4988389.

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Aletta, Francesco, Stefano Brinchi, Stefano Carrese, Andrea Gemma, Claudia Guattari, Livia Mannini, and Sergio Maria Patella. "Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease." Noise Mapping 7, no. 1 (August 3, 2020): 114–22. http://dx.doi.org/10.1515/noise-2020-0010.

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AbstractThis study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a noise emission assessment conducted using the CNOSSOS-EU method, and an overall noise emissions reduction on the entire road network was found, even if its extent varied between road types.

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Poslončec-Petrić, V., V. Vuković, S. Frangeš, and Ž. Bačić. "VOLUNTARY NOISE MAPPING FOR SMART CITY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W1 (September 5, 2016): 131–37. http://dx.doi.org/10.5194/isprs-annals-iv-4-w1-131-2016.

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One of the main concept objectives of smart cities is to create a quality living environment that is long-term sustainable and economically justified. In that context, modern cities are aware of the exposure to various forms of physical and non-physical pollution that needs to be remediated, eliminated or reduced. To achieve that it is necessary to quality determine the sources and reasons of each pollution. The most prominent examples of physical pollution that affects the quality of life of citizens in cities are light and noise pollution. Noise pollution or noise, is mostly the consequence of road and rail traffic in cities and it directly affects the health of citizens. Traffic control, reduction of peak congestion, dispersion and traffic redirection or building protective barriers, are ways that cities use to reduce the amount of noise or its effects. To make these measures efficient it is necessary to obtain the information related to the level of noise in certain areas, streets, cities. To achieve this, smart cities use noise mapping. The city of Zagreb since 2012, participates in the i-SCOPE project (interoperable Smart City services trough Open Platform for urban Ecosystems). i-SCOPE delivers an open platform on top of which it develops, three "smart city" services: optimization of energy consumption through a service for accurate assessment of solar energy potential and energy loss at building level, environmental monitoring through a real-time environmental noise mapping service leveraging citizen's involvement will who act as distributed sensors city-wide measuring noise levels through an application on their mobile phones and improved inclusion and personal mobility of aging and diversely able citizens through an accurate personal routing service. The students of Faculty of Geodesy University of Zagreb, who enrolled in the course Thematic Cartography, were actively involved in the voluntary data acquisition in order to monitor the noise in real time. In this paper are presented the voluntary acquisitioned data of noise level measurement in Zagreb through a mobile application named Noise Tube, which were used as the basis for creating the dynamic noise map. The paper describes how citizens through voluntarily collected geoinformation can directly influence decision-making in their community, which certainly affects the quality of life.

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Poslončec-Petrić, V., V. Vuković, S. Frangeš, and Ž. Bačić. "VOLUNTARY NOISE MAPPING FOR SMART CITY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4/W1 (August 25, 2016): 131–37. http://dx.doi.org/10.5194/isprs-annals-iii-4-w1-131-2016.

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One of the main concept objectives of smart cities is to create a quality living environment that is long-term sustainable and economically justified. In that context, modern cities are aware of the exposure to various forms of physical and non-physical pollution that needs to be remediated, eliminated or reduced. To achieve that it is necessary to quality determine the sources and reasons of each pollution. The most prominent examples of physical pollution that affects the quality of life of citizens in cities are light and noise pollution. Noise pollution or noise, is mostly the consequence of road and rail traffic in cities and it directly affects the health of citizens. Traffic control, reduction of peak congestion, dispersion and traffic redirection or building protective barriers, are ways that cities use to reduce the amount of noise or its effects. To make these measures efficient it is necessary to obtain the information related to the level of noise in certain areas, streets, cities. To achieve this, smart cities use noise mapping. The city of Zagreb since 2012, participates in the i-SCOPE project (interoperable Smart City services trough Open Platform for urban Ecosystems). i-SCOPE delivers an open platform on top of which it develops, three "smart city" services: optimization of energy consumption through a service for accurate assessment of solar energy potential and energy loss at building level, environmental monitoring through a real-time environmental noise mapping service leveraging citizen's involvement will who act as distributed sensors city-wide measuring noise levels through an application on their mobile phones and improved inclusion and personal mobility of aging and diversely able citizens through an accurate personal routing service. The students of Faculty of Geodesy University of Zagreb, who enrolled in the course Thematic Cartography, were actively involved in the voluntary data acquisition in order to monitor the noise in real time. In this paper are presented the voluntary acquisitioned data of noise level measurement in Zagreb through a mobile application named Noise Tube, which were used as the basis for creating the dynamic noise map. The paper describes how citizens through voluntarily collected geoinformation can directly influence decision-making in their community, which certainly affects the quality of life.

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Puyana-Romero, Virginia, Giuseppe Ciaburro, Giovanni Brambilla, Christiam Garzón, and Luigi Maffei. "Representation of the soundscape quality in urban areas through colours." Noise Mapping 6, no. 1 (May 16, 2019): 8–21. http://dx.doi.org/10.1515/noise-2019-0002.

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AbstractNoise mapping is a useful and widespread method to visualise various items like the exposure to noise pollution, statistics of affected population, different noise source contribution analysis, and it is also a useful tool in designing noise-control plans. Some researches have moved a step further, proposing maps to represent the people perception of the acoustic environment. Most of these maps use colours as mere tools to display the spatial variability of acoustic parameters. In this paper the colours associated by interviewed people to different urban soundscapes have been analysed, and the possibility of using meaningful colours to represent the soundscape quality in noise mapping has been examined. For this purpose, correspondence analysiswas applied on the data collected fromon-site interviews, performed in the water front of Naples and its surroundings. The outcomes show that in the pedestrian areas nearby the sea, the blue colour was often associated with the soundscape rating, whereas in the areas nearby the sea but open to road traffic the interviewees selected mainly the blue and grey colours. In the areas away from the sea, a wider selection of colours was observed: red and greywere predominantly selected in the areas open to road traffic and green, yellow and red in the green areas.

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Zafar, M. I., S. Bharadwaj, R. Dubey, and S. Biswas. "DIFFERENT SCALES OF URBAN TRAFFIC NOISE PREDICTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 14, 2020): 1181–88. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1181-2020.

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Abstract. Noise pollution is an important problem. Places around the road or railway corridor can get serious noise hazards in the outdoor environment. The problem of noise is dynamic and varies from one location to another. It becomes more challenging due to the varying nature of noise sources (e.g., bus, truck, tempo, etc.) that differ in frequency spectra of audible noises. It is required to characterize the noise environment for an area, which requires noise measurement and use it for noise prediction. An attempt has been made to predict the noise levels in the form of noise maps. Noise prediction requires information on terrain data, noise data (of sources) and a model to predict noise levels around the noise sources. With the variation in terrain data, noise data, and use of prediction model the performance of prediction can vary. Thus, the study is conducted at three different locations i.e., (i) Ratapur Road crossing, Rae Bareli (ii) Bahadurpur Road crossing, at Jais, and (iii) RGIPT Academic Block close to the railway track. The three studies indicated how the performance of prediction can vary with changes in the quality of terrain data, noise sampling, and schemes of noise modeling. Generally, with a better quality of terrain data (comprehensive and precise), better prediction can be possible. Similarly, more focused and event-specific noise recording, modeling can provide more detailed time-specific noise mapping, which is not possible otherwise with customary average noise recording technique. However, detailed and comprehensive modeling warrants complex and bigger data handling.

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Nejad, Parviz Ghojogh, Anuar Ahmad, and Irina Safitri Zen. "ASSESSMENT OF THE INTERPOLATION TECHNIQUES ON TRAFFIC NOISE POLLUTION MAPPING FOR THE CAMPUS ENVIRONMENT SUSTAINABILITY." International Journal of Built Environment and Sustainability 6, no. 1-2 (April 1, 2019): 147–59. http://dx.doi.org/10.11113/ijbes.v6.n1-2.393.

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Mapping traffic noise pollution from an increasing number of vehicles facilitate better land use planning in order to measures the environment sustainability performances of institution in higher education. The aim of this research is to analyse the relationship on the increasing number of the motorized vehicles recorded as noise pollution data for further geostatistical analysis. Hence, by using the interpolation techniques, Kriging and IWD, the comparison performed to particularly create the noise pollution map for Universiti Teknologi Malaysia, UTM. With average noise of the collected sample, the performance of two methods; inverse distance weighting, IDW and Kriging evaluated based on the magnitude and distribution of errors where the cross-validation statistics with plots shows IDW better representation of reality for the means of Noise pollution levels measurement. then, other the noise map generated based on the maximum noise level recorded with the indicator Kriging Noise method. Further, these studies can be useful to conduct regular assessments to identify noise pollution level with multiple locations in the study area.

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Sotiropoulou, Alexandra, Ioannis Karagiannis, Emmanouil Vougioukas, Athanassios Ballis, and Aspasia Bouki. "Measurements and prediction of road traffic noise along high-rise building façades in Athens." Noise Mapping 7, no. 1 (March 20, 2020): 1–13. http://dx.doi.org/10.1515/noise-2020-0001.

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AbstractConstant exposure to traffic noise pollution can have significant impact on human health and well being. Occupants of high-rise buildings along noisy traffic arteries are severely affected. In an attempt to contribute to noise protection design of prospective high-rise buildings, traffic noise measurements and prediction using the CRTN (calculation of road traffic noise) model, were made along the façade of a high-rise building in central Athens. The aim was to test the accuracy of this model in predicting the vertical distribution (mapping) of traffic noise along such building façades, under the local urban characteristics of the Mediterranean capital. The predicted and measured noise levels were found to be highly coherent with each other, and their vertical distribution pattern, by and large, confirmed findings from earlier studies. Nevertheless, the predicted values had a tendency of underestimation, with a mean difference −2.2 dB(A) with reference to measured values. It is considered that this underestimation is associated mainly with a newly proposed feature of urban morphology, namely (local) geo-morphology. By and large, it can be inferred that the CRTN model is a useful tool, suitable for the prediction of traffic noise along high-rise building façades during their planning and design stage. The results represent a further step towards more general application of this model, as well as a contribution to the use of this model considering a wider number of urban features.

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Platon, Silviu Nicolae, and Corina Anda Hionis. "PREVENTING RISK OF NOISE EXPOSURE IN WORKING ENVIRONMENT USING NOISE MAPPING." Environmental Engineering and Management Journal 13, no. 6 (2014): 1349–54. http://dx.doi.org/10.30638/eemj.2014.143.

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Akhtar, Nasim, Kafeel Ahmad, and Pervez Alam. "Noise Monitoring and Mapping for Some Pre-selected Locations of New Delhi, India." Fluctuation and Noise Letters 15, no. 02 (June 2016): 1650019. http://dx.doi.org/10.1142/s021947751650019x.

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Road traffic is one of the major sources of noise pollution in urban areas. Noise measurements and sound observation surveys, alone or in relationship, can be helpful in understanding the complex problem of noise pollution in urban areas. The main aim of this paper is monitoring and mapping for some pre-selected locations of New Delhi, India. The [Formula: see text], noise climate, and noise pollution levels were calculated, this was further represented in the form of cartographic maps for easy understanding. Result of noise monitoring shows that the values of [Formula: see text] at Ashram ranges from 67.4 dB (A) to 82.3 dB (A) which is maximum of all pre-selected locations. It was found that the noise levels at all pre-selected location has been very high and above the permissible limits. Noise map shows that Ashram is the most affected area, most of the pre-selected locations are severally affected and the areas are in constant exposure of noise up to 80 dB vertically as well as horizontally.

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Wawa, Enock Abe, and Galcano Canny Mulaku. "Noise Pollution Mapping Using GIS in Nairobi, Kenya." Journal of Geographic Information System 07, no. 05 (2015): 486–93. http://dx.doi.org/10.4236/jgis.2015.75039.

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Beca, Ilinca Mirela, and Mihai Iliescu. "The Sunet System for Monitoring Noise Pollution in Cluj-Napoca." Romanian Journal of Transport Infrastructure 6, no. 2 (December 1, 2017): 33–44. http://dx.doi.org/10.1515/rjti-2017-0058.

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Abstract In Europe the need for local authorities to provide a high standard of living for their communities led to the establishment of the European noise mapping directive 2002/49/EC. Whilst Noise mapping itself doesn’t need continuous noise monitoring, states must produce a noise action plan which highlights actions they intend to take to reduce the number of people affected. SUNET platform (System for Urban Noise and Eco-Traffic) was designed for improved management of the noise pollution in Cluj-Napoca and to provide up-to-date public data on a user-friendly interface. The implementation of the application over the entire municipality is highly advantageous for it creates a link between the town’s administration (the local authorities, the City Hall of Cluj-Napoca) and the user (the citizens) through this system which is dynamic, modern and compliant with the European regulations.

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Enyedi, Fruzsina, Sándor Papp, and Viktor Pál. "Urban Noise Conflicts in Szeged." Belvedere Meridionale 32, no. 3 (2020): 47–58. http://dx.doi.org/10.14232/belv.2020.3.4.

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Noise pollution is a serious and complex city problem. While there are objective, measurable parameters for noise mapping assessments, since the effects of noise are also subjectively perceived, it has been difficult to accurately evaluate the urban problems and conflicts arising from noise. Urban noise and its perception is related to the quality of life; thus its analysis is can provide useful insights for decision-makers. Therefore, through an analysis of online media content, the paper presents local the attitudes in Szeged towards urban noise. During the analysis different noise categories and the city’s noise characteristics were determined. Even though the noise pollution in residential areas was found to be mainly concentrated in the city centre, it also affected more remote areas, and social problems and political discourses were also identified. Besides the noise of urban traffic, Szeged people appeared to be disturbed by noise related to leisure activities, such as urban (and university) programs and festival noise, which indicated that noise reduction efforts should be focus on more than just the reduction of traffic noise.

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Vasilyev, Andrey. "RUSSIAN EXPERIENCE OF TRANSPORT NOISE ESTIMATION AND MAPPING." Akustika 32 (March 1, 2019): 105–9. http://dx.doi.org/10.36336/akustika201932105.

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Presently noise impact may be considered as one of the most serious problems in conditions of modern towns. Transport noise is one of the main noise sources of the city environment. Some approaches to noise estimation and mapping in conditions of Russia are described. Formalization and modeling of transport flows it is convenient to do by using of influence diagrams. Program provision «Sound-City-Test» have been developed for calculation of external noise sources and for development of dynamic maps with using of principles of object oriented visual programming. Analysis of acoustical pollution of urban territories on the example of samara region of Russia was done. In total, the results of noise measurements in the territory of Samara region of Russia is showing that in the number of points of measurement there is exceeding of sanitary norms. The most serious problem of noise influence is for the dwelling territories adjoining to transport highways. The Russian experience of transport noise mapping is discussed.

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Khasawneh, O. F. S., H. Halim, S. N. Abdullah, S. A. Razali, H. R. F. Algburi, and A. H. Salleh. "Characterization of Environmental Noise Pollution Based on Noise Measurement and Mapping at USM Engineering Campus." IOP Conference Series: Materials Science and Engineering 920 (September 19, 2020): 012004. http://dx.doi.org/10.1088/1757-899x/920/1/012004.

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Paschalidou, Anastasia K., Pavlos Kassomenos, Fotini Chonianaki, and Thalia Valkouma. "3-year noise monitoring and strategic noise mapping in an extended motorway." Environmental Science and Pollution Research 26, no. 15 (April 3, 2019): 15608–16. http://dx.doi.org/10.1007/s11356-019-04966-w.

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Wu, Qiong, Xiaofeng Zhang, and Guanghua Cao. "Study on the prevention and control measures of China’s urban road traffic noise pollution." E3S Web of Conferences 96 (2019): 03003. http://dx.doi.org/10.1051/e3sconf/20199603003.

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Just like the other countries in the world, urban road traffic noise pollution is widespread in China, and with the acceleration of its urbanization process, noise pollution continuously arises. However, China’s legislation and governance measures on noise pollution control began in 1989, which is relatively late. Based on the urban road traffic noise pollution status and typical cities’ measures in China, and combined with the successful experiences of developed countries, this paper analyzes the causes and puts forward corresponding prevention and control measures from five aspects, such as improving the laws and regulations, focusing on planning and design, thinking highly of Noise Mapping, carrying out special noise reduction projects and strengthening management measures, as a reference for the relevant jurisdictions and scientific researchers.

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Wrótny, Marcin, and Janusz Bohatkiewicz. "Traffic Noise and Inhabitant Health—A Comparison of Road and Rail Noise." Sustainability 13, no. 13 (June 30, 2021): 7340. http://dx.doi.org/10.3390/su13137340.

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The negative effect of traffic noise on human health is indisputable. The article illustrates the magnitude of this problem in selected European capitals using data made available by the European Environment Agency, collected as a part of strategic noise mapping under Directive 2002/49/EC. The purpose of the described studies is to determine the number of people suffering from noise-induced health problems, and to compare the effect of the road noise on human health with the effect of noise from rail vehicles. Studies concern noise annoyance, induced sleep disturbance, and Disability-Adjusted Life Years, or DALY index. Analyses clearly show that environmental pollution from road noise often exceeds environmental pollution from railway noise by a factor of 10. In addition, studies show that in many cities, more than half of the population is exposed to road noise exceeding the acceptable values. The worst of all selected agglomerations with regard to people exposed to road and rail noise is Paris, the capital of France. It should be noted, however, that it has the highest population density of all the analyzed cities and a very well developed transport network. Further studies are needed to characterize the effect of traffic noise on inhabitant health more accurately, using specific indicators allowing to do so.

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Iglesias Merchan, Carlos, and Luis Diaz-Balteiro. "Noise pollution mapping approach and accuracy on landscape scales." Science of The Total Environment 449 (April 2013): 115–25. http://dx.doi.org/10.1016/j.scitotenv.2013.01.063.

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Monazzam, Mohammad Reza, Elham Karimi, Parvin Nassiri, Lobat Taghavi, and Samaneh Karbalaei. "Outdoor Noise Pollution Mapping Case Study: A District of Tehran." Fluctuation and Noise Letters 13, no. 04 (October 20, 2014): 1450027. http://dx.doi.org/10.1142/s0219477514500278.

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The main objective of this study was to investigate the noise levels at different land uses of District 14 in Tehran. For this purpose, a total number of 91 sampling stations were selected. Afterwards, the equivalent sound pressure level in each station was measured at three occasions of morning (7–9 am), noon (12–3 pm), and evening (5–8 pm). Based on the conformability requirement of each land uses, noise levels was divided in three zones wherein the land uses are exposed to different noise levels was estimated. The obtained results indicated that 8.79% of 78 land uses (residential, recreational and medical) in the Zone 1 were exposed to acceptable range of sound pressure level while the rest suffers from unacceptable noise levels. Among 10 land uses of Zone 2 (commercial–residential), 2.19% were within the acceptable range and 8.78% were in unacceptable range. None of the three land uses in Zone 3 were within the acceptable range. Accordingly, the Zone 3 was recognized to be in a critical condition. In other words, about 88.99% of the total and uses in the Zone 3 is exposed to unaccepted able noise level. Comparing with the standard equivalent sound pressure level of 55 dB(A) presented, the residential land use with the equivalent sound pressure level of 19.27 dB(A) accounted for the highest standard deviation. This is due to proximity of most of the residential areas to the crowded highways and streets.

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Yakimovich, A. V., A. V. Vasilyev, and V. A. Vasilyev. "Methods and Results of Monitoring of Acoustical Pollutions of Urban Territories on the Exhample of Samara Region of Russia." Ecology and Industry of Russia 23, no. 6 (June 11, 2019): 28–33. http://dx.doi.org/10.18412/1816-0395-2019-6-28-33.

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For the time being acoustical impact to the living territory is significantly increased. Imported methods of urban noise reduction are acoustical monitoring and noise mapping of urban territories. Important measures allowing to reduce negative noise impact are acoustical monitoring and noise mapping of urban territories. Peculiarities and negative features of existing methods of monitoring of acoustical pollutions are considered. Methods of monitoring with using of automated system are suggested allowing to carry out continuous measurements of noise and of the other parameters of environment. New approach to noise mapping is suggested. Methods and approaches to monitoring of acoustical pollutions are approbated in conditions of urban territory of Samara region of Russia. By using of the results of noise measurements and developed program provision noise maps of urban territory of Samara region have been developed.

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Maksymenko, Nadiya, Sergiy Sonko, Hanna Skryhan, Svitlana Burchenko, and Anton Gladkiy. "Green Infrastructure of Post-USSR Cities for Prevention of Noise Pollution." SHS Web of Conferences 100 (2021): 05004. http://dx.doi.org/10.1051/shsconf/202110005004.

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The green infrastructure provides many different benefits for the environment and for human well-being. One of these benefits – protecting from noise pollution. The study of the deterioration of the ecological situation in cities is associated not only with the study of natural but also with physical environmental factors of natural and artificial origin. Increasingly, physical factors are defined as risk factors for the urban population and belong to the group of anthropogenic factors. Increased urbanization, mechanization of processes and the development of the transport network are intensifying influences for citizens. Territorial organization of the urban landscape in post-USSR cities, is quite complex and has signs of spontaneous formation, without protective function of green infrastructure from noise pollution. The aim of this research is to measure noise levels in Moskovsky district in Kharkiv, Ukraine. Kharkiv is a large industrial city and noise pollution is a considerable factor of influence on the environment. Based on these tasks, we have analyzed noise pollution in Moskovsky district in Kharkiv. Were identified 80 experimental points. Noise measurement was performed using an instrument “Digital Sound Level Meter”. Was made the noise maps for working day and weekend in the mornings and in the evenings. For mapping was used QGIS instrument interpolation. The normal level of noise for this district is 60-70 according to the Ukrainian normative document. The WHO recommends the level of noise less than 20-30 decibels. According to this also was analyzed the change in the noise level in the zones of green spaces and was studied the objects of green infrastructure witch reduce noise in the cities.

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Zakpala, Rachel N., Frederick Ato Armah, Brigid M. Sackey, and Opoku Pabi. "Night-Time Decibel Hell: Mapping Noise Exposure Zones and Individual Annoyance Ratings in an Urban Environment in Ghana." Scientifica 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/892105.

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Although accumulating evidence over the past thirty years indicates that noise is an environmental stressor in residential settings, much of the data emanated from studies in high-intensity, noise impact zones around airports or major roads. Little is known about religious noise, especially at night, which is increasingly a growing concern for both the general public and policy-makers in sub-Saharan Africa. Using geographical information systems (GIS), this study measured and mapped exposure to religious noise in a rapidly urbanising municipality in Ghana. Quantitative noise risk assessment was used to evaluate the risk of religious noise-induced hearing loss to residents in the exposed neighbourhoods. The results show that all neighbourhoods where churches were situated had at least one location with significant risk of noise-induced hearing loss. However, there was no statistically significant relationship between neighbourhoods where religious noise exposure was the highest and where noise annoyance was the highest. The magnitude of the noise values for night-time exposure is remarkable particularly given that excessive night-time noise exposure has the greatest detrimental effect on public health. There is the need to focus on vulnerable groups, sensitive hours of the night, and possible confounding with air pollution in order to wholly address this potential hazard.

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Zannin, Paulo Henrique Trombetta, and Fernanda Ferraz. "Assessment of Indoor and Outdoor Noise Pollution at a University Hospital Based on Acoustic Measurements and Noise Mapping." Open Journal of Acoustics 06, no. 04 (2016): 71–85. http://dx.doi.org/10.4236/oja.2016.64006.

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Butorina, Marina, Lyudmila Drozdova, and Denis Kuklin. "IMPLEMENTATION OF NOISE DATA INTO BUILDING INFORMATION MODEL FOR TRANSPORT AND UNDUSTRIAL NOISE REDUCTION." Akustika 34 (November 1, 2019): 7–12. http://dx.doi.org/10.36336/akustika2019347.

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Noise mapping is the best way to present information on the acoustic pollution. To design noise protection measures, authors use modern software package SoundPLAN, which is based on the up-to-date normative documentation and scientific researches. The program allows importing the results of calculations to Autodesk tools. Improving the efficiency of the noise protection design process is executed through the implementation of building information modeling (BIM). Data exchange between SoundPLAN, AutoCAD 3D or Revit and Navisworks is used in the development of building information model. In the article we present a new approach to noise reduction through implementation of noise data into the overall information model of the infrastructure or building project. BIM helps to track the collision of calculated noise levels with residential buildings, protected premises and work places. It lays a basis for the sound proof allocation of work places and development of protection measures. BIM also serves as a support tool for the design process of sound protection barriers, since it helps to avoid interconnection of noise barriers basement with engineering networks or paste a barrier in the proper place to provide its efficiency.

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Loupa, G., A. Katikaridis, D. Karali, and S. Rapsomanikis. "Mapping the noise in a Greek general hospital." Science of The Total Environment 646 (January 2019): 923–29. http://dx.doi.org/10.1016/j.scitotenv.2018.07.315.

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Findlay, C. R., H. D. Ripple, F. Coomber, K. Froud, O. Harries, N. C. F. van Geel, S. V. Calderan, S. Benjamins, D. Risch, and B. Wilson. "Mapping widespread and increasing underwater noise pollution from acoustic deterrent devices." Marine Pollution Bulletin 135 (October 2018): 1042–50. http://dx.doi.org/10.1016/j.marpolbul.2018.08.042.

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Koehler, Mark, Frank Baader, and Peter Brandstätt. "Noise prediction for urban air taxi operation." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 2984–95. http://dx.doi.org/10.3397/in-2021-2278.

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Solutions to escape crowded streets are increasingly taking up new forms of mobility. This also includes air taxis or VTOLs. In addition to passenger traffic, suggestions, such as parcel delivery by drones, are also regularly part of future visions. Air taxis pose additional safety requirements due to the transport of people and they also represent a major potential source of noise. A challenge that urban planners, pollution control officers and decision-makers have to face. Using the concrete example of an urban landing place for air taxis at the main train station in the city of Ingolstadt, possible problems, issues related to noise protection and their legal basis were examined. This presentation is a summary of the projects results. The examinations include the creation of noise mapping in order to simulate the impact to the already existing noise situation. Those were based on current flight noise regulations with necessary alterations regarding VTOLs. Because air taxi noise is expected to be more annoying than regular traffic noise, the possible application of flight noise indexes such as the "Frankfurt flight noise index FFI 2.0" shall be reviewed. Based on the results of the previous examinations, possible noise protection measures shall be developed.

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Yilmaz, Guzel, and Yuksel Hocanli. "Mapping of Noise by Using Gis in ŞAnliurfa." Environmental Monitoring and Assessment 121, no. 1-3 (June 2, 2006): 103–8. http://dx.doi.org/10.1007/s10661-005-9109-1.

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Bocher, Erwan, Gwenaël Guillaume, Judicaël Picaut, Gwendall Petit, and Nicolas Fortin. "NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps." ISPRS International Journal of Geo-Information 8, no. 3 (March 4, 2019): 130. http://dx.doi.org/10.3390/ijgi8030130.

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The urbanisation phenomenon and related cities expansion and transport networks entail preventing the increase of population exposed to environmental pollution. Regarding noise exposure, the Environmental Noise Directive demands on main metropolis to produce noise maps. While based on standard methods, these latter are usually generated by proprietary software and require numerous input data concerning, for example, the buildings, land use, transportation network and traffic. The present work describes an open source implementation of a noise mapping tool fully implemented in a Geographic Information System compliant with the Open Geospatial Consortium standards. This integration makes easier at once the formatting and harvesting of noise model input data, cartographic rendering and output data linkage with population data. An application is given for a French city, which consists in estimating the impact of road traffic-related scenarios in terms of population exposure to noise levels in relation to both a threshold value and level classes.

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Nie, Junlan, Ruibo Gao, and Ye Kang. "Urban Noise Inference Model Based on Multiple Views and Kernel Tensor Decomposition." Fluctuation and Noise Letters 20, no. 03 (January 25, 2021): 2150027. http://dx.doi.org/10.1142/s0219477521500279.

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Prediction of urban noise is becoming more significant for tackling noise pollution and protecting human mental health. However, the existing noise prediction algorithms neglected not only the correlation between noise regions, but also the nonlinearity and sparsity of the data, which resulted in low accuracy of filling in the missing entries of data. In this paper, we propose a model based on multiple views and kernel-matrix tensor decomposition to predict the noise situation at different times of day in each region. We first construct a kernel tensor decomposition model by using kernel mapping in order to speed decomposition rate and realize stable estimate the prediction system. Then, we analyze and compute the cause of the noise from multiple views including computing the similarity of regions and the correlation between noise categories by kernel distance, which improves the credibility to infer the noise situation and the categories of regions. Finally, we devise a prediction algorithm based on the kernel-matrix tensor factorization model. We evaluate our method with a real dataset, and the experiments to verify the advantages of our method compared with other existing baselines.

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Cueto, José Luis, David Bienvenido-Huertas, Francisco Fernández-Zacarías, Ricardo Gey, and Ricardo Hernández-Molina. "Anthropogenic Noise Mapping of a Periurban Natural Park on the Coastal Area in the SW of Spain: Case Study of Bird's Ecosystem Protection." Acta Acustica united with Acustica 105, no. 6 (November 1, 2019): 1015–25. http://dx.doi.org/10.3813/aaa.919380.

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This article presents a methodological approach to try to respond to some of the protection and management needs against the noise of a peri-urban natural park. The methodology presented is based on the generation of "ad hoc" noise maps. To analyze its possibilities and the limits of use, a coastal park surrounded by a densely populated area in the southwest of Spain is used as a case study. In this study, birds in their diverse ecosystems are the main target noise receiver of the study. The source of noise pollution considered is the traffic noise of the highways and the urbanized areas surrounding the park. However, the methodology can be extrapolated to any source of noise and other protection figures. An adequate diagnosis of the environmental noise would help to overcome the supposed incompatibility between the preservation of nature and the tourist exploitation of natural spaces. With this in mind, it has also been proposed as target noise receivers, the ornithologists and visitors who wish to become bird-watchers and bird-listeners. To this end, it has been proposed to produce noise maps with certain methodological guidelines that fit on a case-by-case basis. Several heights are used in this paper, adapting the map to noise receivers. With the same purpose, noise level maps in octave bands were developed. The tonal frequencies of interest are those that the birds use in their songs (according to the species, normally between 2 and 8 kHz). The maps have been contrasted with noise measurements carried out throughout the park. The study shows that in the areas most exposed to the noise of the Rio San Pedro and the university campus, noise levels at 2 kHz can reach 74 dB during the peak traffic hours. In addition, a large percentage of the area of both areas is affected by noise levels that exceed 50 dB (100% and 44% respectively). We are also concerned that a small population of birds has been counted in these areas based on preliminary observations at peak traffic times. The results can help the decision-makers to evaluate how traffic noise invades different ecosystems and where it can mask the sound of birds.

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Lokhande, Satish K., Satyajeet A. Dhawale, Samir S. Pathak, Rakesh Gautam, Mohindra C. Jain, and Ghanshyam L. Bodhe. "Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping." Archives of Acoustics 42, no. 3 (September 26, 2017): 423–32. http://dx.doi.org/10.1515/aoa-2017-0044.

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Abstract Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq,T ) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq,T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2-62.2 dB(A) and 30.5-53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0-5.3 dB(A).

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Esmeray, Ertugrul, and Sercan Eren. "GIS-based mapping and assessment of noise pollution in Safranbolu, Karabuk, Turkey." Environment, Development and Sustainability 23, no. 10 (February 27, 2021): 15413–31. http://dx.doi.org/10.1007/s10668-021-01303-5.

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Vogiatzis, Konstantinos, and Nicolas Remy. "From environmental noise abatement to soundscape creation through strategic noise mapping in medium urban agglomerations in South Europe." Science of The Total Environment 482-483 (June 2014): 420–31. http://dx.doi.org/10.1016/j.scitotenv.2013.07.098.

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Luo, Liyan, Hongming Qin, Xiyu Song, Mei Wang, Hongbing Qiu, and Zou Zhou. "Wireless Sensor Networks for Noise Measurement and Acoustic Event Recognitions in Urban Environments." Sensors 20, no. 7 (April 8, 2020): 2093. http://dx.doi.org/10.3390/s20072093.

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Nowadays, urban noise emerges as a distinct threat to people’s physiological and psychological health. Previous works mainly focus on the measurement and mapping of the noise by using Wireless Acoustic Sensor Networks (WASNs) and further propose some methods that can effectively reduce the noise pollution in urban environments. In addition, the research on the combination of environmental noise measurement and acoustic events recognition are rapidly progressing. In a real-life application, there still exists the challenges on the hardware design with enough computational capacity, the reduction of data amount with a reasonable method, the acoustic recognition with CNNs, and the deployment for the long-term outdoor monitoring. In this paper, we develop a novel system that utilizes the WASNs to monitor the urban noise and recognize acoustic events with a high performance. Specifically, the proposed system mainly includes the following three stages: (1) We used multiple sensor nodes that are equipped with various hardware devices and performed with assorted signal processing methods to capture noise levels and audio data; (2) the Convolutional Neural Networks (CNNs) take such captured data as inputs and classify them into different labels such as car horn, shout, crash, explosion; (3) we design a monitoring platform to visualize noise maps, acoustic event information, and noise statistics. Most importantly, we consider how to design effective sensor nodes in terms of cost, data transmission, and outdoor deployment. Experimental results demonstrate that the proposed system can measure the urban noise and recognize acoustic events with a high performance in real-life scenarios.

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Juarez, Juan H., Marco A. Moreno, and Miguel J. Torres-Ruiz. "GIS Approach for Collaborative Monitoring and Prediction of Environmental Noise in Urban areas." International Journal of Knowledge Society Research 7, no. 1 (January 2016): 1–25. http://dx.doi.org/10.4018/ijksr.2016010101.

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Environmental noise, as well as being a form of environmental pollution that affects mainly urban areas, it is a problem that involves people's quality of life. This paper presents a methodology that takes advantage of the Volunteered Geographic Information (VGI) in obtaining georeferenced environmental noise maps and the corresponding statistics for a particular area of interest. The methodology herein presented considers the phases of Data acquisition, Analysis and data processing, and Visualization of the information. The design and development of a Geographic Information System is presented, which consists of a web mapping application, an application for mobile devices, called NoiseMonitor, Geospatial Analysis and Machine Learning methods (Support Vector Machines and Artificial Neural Networks) for acoustic noise prediction using contextual information, that is, some factors around the measurements. A study case is based on Mexico City.

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Wosniacki, Giacomo Gustavo, and Paulo Henrique Trombetta Zannin. "Framework to manage railway noise exposure in Brazil based on field measurements and strategic noise mapping at the local level." Science of The Total Environment 757 (February 2021): 143721. http://dx.doi.org/10.1016/j.scitotenv.2020.143721.

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Kephalopoulos, Stylianos, Marco Paviotti, Fabienne Anfosso-Lédée, Dirk Van Maercke, Simon Shilton, and Nigel Jones. "Advances in the development of common noise assessment methods in Europe: The CNOSSOS-EU framework for strategic environmental noise mapping." Science of The Total Environment 482-483 (June 2014): 400–410. http://dx.doi.org/10.1016/j.scitotenv.2014.02.031.

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Alías, Francesc, Ferran Orga, Rosa Ma Alsina-Pagès, and Joan Claudi Socoró. "Aggregate Impact of Anomalous Noise Events on the WASN-Based Computation of Road Traffic Noise Levels in Urban and Suburban Environments." Sensors 20, no. 3 (January 22, 2020): 609. http://dx.doi.org/10.3390/s20030609.

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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.

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Gliesmann, L., and A. Brückner. "Umgebungslärmrichtlinie in Schleswig-Holstein/Environmental Noise Directive in Schleswig-Holstein." Lärmbekämpfung 14, no. 06 (2019): 184–89. http://dx.doi.org/10.37544/1863-4672-2019-06-10.

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Die dritte Runde der Umgebungslärmrichtlinie 2002/49/EG [1] wird mit der Lärmkartierung 2017 und der aktuellen, in Schleswig-Holstein (SH) noch nicht vollständig abgeschlossenen Aufstellung der Lärmaktionspläne umgesetzt. Die Zuständigkeit für die Ausarbeitung der Lärmkarten und für die Aufstellung der Aktionspläne liegt in SH gemäß § 47 e Bundes-Immissionsschutzgesetz [2] bei den Gemeinden. Dem Land obliegt die Berichterstattung an die Bundesregierung.   The third round of the Environmental Noise Directive 2002/49/ ED [1] will be implemented with noise mapping 2017 and the current list of noise action plans, which has not yet been completed in Schleswig-Holstein (SH). The responsibility for the development of the noise maps and for the preparation of the action plans lies in SH according to § 47 e Federal Immission Control Act [2] in the municipalities. The country is responsible for the reporting to the Federal Government.

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Picaut, Judicaël, Erwan Bocher, Pierre Aumond, Gwendall Petit, and Nicolas Fortin. "Exploiting data from the NoiseCapture application for environmental noise measurements with a smartphone." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3149–59. http://dx.doi.org/10.3397/in-2021-2316.

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NoiseCapture is a smartphone application initially developed as part of a participative approach for environmental noise mapping. After more than 3 years, the database produced from all over the world contributions is considerable (more than 77k contributors, nearly 300k tracks representing about 72 million 1-second measurements, in nearly 200 countries). Beyond the initial objective, other uses of the application have emerged: individually by users for their own needs, by associations of people in charge of the fight against noise pollution, within the framework of educational activities, by researchers for the realization of their own research, by communities to address the subject of noise pollution. As these new applications emerged, the development team of NoiseCapture was led to extend the possibilities of exploitation of these data. Thus, in this paper, we present different possibilities for a user to perform his own data analysis, namely: a local export of data from the smartphone, access to raw data and pre-processed data from the NoiseCapture server, access to formatted GIS layers from OGC standard service. All these methods are enabled thanks to the open source ecosystem, such as Python libraries, R software suite and GIS tools.

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Leao, Simone, Kok-Leong Ong, and Adam Krezel. "2Loud?: Community mapping of exposure to traffic noise with mobile phones." Environmental Monitoring and Assessment 186, no. 10 (June 12, 2014): 6193–206. http://dx.doi.org/10.1007/s10661-014-3848-9.

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Journal articles on the topic 'Noise pollution. Noise. Noise mapping'

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