Relevant bibliographies by topics / Noise pollution. Noise. Noise mapping

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Noise pollution. Noise. Noise mapping'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "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. <br><br> 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. <br><br> 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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Dissertations / Theses on the topic "Noise pollution. Noise. Noise mapping"

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Shoegima, Thiago França. "Poluição sonora urbana: estudo de caso da subprefeitura de Pinheiros/SP." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-09032016-145105/.

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Esse trabalho apresenta uma análise de dados dos níveis de ruído referentes à Subprefeitura de Pinheiros/SP. Foram feitas medições em quarenta pontos, divididas em três fases que puderam ser comparadas com os limites estabelecidos pela lei de zoneamento. Nos processos de levantamentos de dados elaboramos mapas que serviram de suporte tanto em decisões como posteriormente na análise/comparação destes em relação aos limites sonoros estabelecidos. Na primeira fase observou-se uma grande quantidade de pontos com valores acima de 15 dB em relação aos limites estabelecidos. Nas fases seguintes houve uma diminuição, quando comparadas a primeira. Assim obtivemos um panorama dos níveis de ruído da área de estudo e sua situação em relação à lei de zoneamento urbano da cidade de São Paulo.
This paper presents an analysis of data concerning the noise levels referring to Pinheiros Subprefecture (in São Paulo city). Measurements made in forty spots, divided in three steps that could be compared with the limits established by zoning law. In procedures for survey data were prepared maps that served as pillar in decisions as well as later in analysis/comparison of these in relation to the noise limits established. In the first phase there were large numbers of points with values above 15 dB above the limits. In later stages there was an improvement compared with the measurements of the first phase. So we got a picture of the noise levels of the study area and its situation in relation to the urban zoning law of São Paulo city.
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Von, Holdt Diana (Diana Sheila). "GIS mapping and analysis of aircraft noise at Cape Town International Airport." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53441.

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Thesis (MA)--Stellenbosch University, 2003.
ENGLISH ABSTRACT: The noise produced by aircraft during operations around airports represents a senous social, technical, economic and environmental problem which is only going to get worse as air traffic volumes increase. Rapid urbanisation, development encroachment and poor planning in the past have resulted in noisy airport runways being situated too close to residents' living space. Rapid industrial growth and lack of funding exacerbate noise problems in developing countries. Moreover, developing countries and especially South Africa tend to have moderate climates and open-window living, which makes insulation an ineffective solution to the noise problem. This study aims at employing GIS to establish the potential noise exposure of various sensitive land use categories and population groups in the noise-controlled area at Cape Town International Airport. Firstly, options for the demarcation of a noise-controlled area were evaluated. Thereafter, incompatible land uses and priority areas for land use compatibility projects were identified and recommendations made for urban renewal projects for these areas. Lastly, the noise-exposed population were profiled according to vulnerability characteristics and vulnerable groups identified and located. A recommendation was made that Cape Town International Airport set up an interactive map-based website to disseminate information to the public about noise and any other important issues concerning the airport. An Internet GIS application would empower citizens by providing them with a dynamic and interactive tool for improved public participation and a better understanding of the potential environmental and socio-economic effects of the airport. Noise complaints could also be investigated through the website and prompt feedback given to the communities complaining about aircraft noise. At the local community level where people are being annoyed every day and night resulting in negative health effects, the problem of aircraft noise demands urgent attention, and measures should be put in place to reduce vulnerability to noise and improve the overall quality of life of noiseweary residents. Keywords: aircraft noise, noise mapping, noise-controlled area, noise contours, land use compatibility, noise exposure
AFRIKAANSE OPSOMMING: Die geraas veroorsaak deur vliegtuie by lughawens bied ernstige sosiale, tegniese, ekonomiese en omgewingsprobleme, wat net erger gaan raak namate vlugverkeer toeneem. Snelle verstedeliking, ontwikkelings-oorskryding en swak beplanning in die verlede het veroorsaak dat raserige aanloopbane te nabyaan mense se leefruimte gebou is. Vinnige industriële groei en 'n tekort aan befondsing vererger geraasprobleme in ontwikkelende lande. Bowendien het ontwikkelende lande, en veral Suid Afrika, 'n matige klimaat en oop-venster-leefwyse wat isolering 'n oneffektiewe oplossing maak vir die geraasprobleem. Hierdie studie het ten doelom GIS te gebruik om die potensiële geraas blootstelling van sensitiewe grondgebruike en bevolkingsgroepe in die geraas-kontrole area by Kaapstad Internasionale Lughawe vas te stel. Eerstens is opsies vir die afbakening van die geraas-kontrole area geëvalueer. Daaropvolgend IS onversoenbare grondgebruike en prioriteitsareas VIr grondgebruikversoeningsprojekte geïdentifiseer en aanbevelings gemaak vir stedelike vernuwingsprojekte vir hierdie areas. Laastens is 'n profiel daargestel van die geraas-blootgestelde bevolkings volgens kwesbaarheidskenmerke en kwesbare groepe is geïdentifiseer en hulligging aangedui. 'n Voorstel is gemaak dat Kaapstad Internasionale Lughawe 'n interaktiewe kaart-gebaseerde webwerf in werking moet stelom inligting oor geraas- en ander belangrike probleme in verband met die lughawe beskikbaar te stel vir die publiek en ander belanghebbendes. 'n Internet-GIS toepassing sal mense bemagtig deur hulle te voorsien van 'n dinamiese en interaktiewe meganisme wat sal lei tot beter gemeenskapsdeelname en ook 'n beter begrip van die potensiële omgewings- en sosio-ekonomiese uitwerking van die lughawe. Klagte oor geraas kan ook deur die webwerf hanteer en ondersoek word, en verder hulp verleen word deur vinnige terugvoering aan die gemeenskap wat die klagtes gelê het. Op plaaslike gemeenskapsvlak, waar mense elke dag en nag geïrriteerd raak en waar dit dan kan lei tot negatiewe gesondheidsinvloed, sal die probleem van vliegtuiggeraas dringend aangespreek moet word, en stappe geneem word ten einde kwesbaarheid van inwoners teenoor vliegtuiggeraas te verminder. Dit sal dan lei tot die algehele verbetering van die lewensgehalte van geraas-moeë Inwoners. Sleutelwoorde: vliegtuiggeraas, geraaskartering. geraas-kontrole area, geraaskontoere, grondgebruik versoenbaarheid, geraas blootstelling
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Pinto, D?bora Nogueira. "Mapeamento ac?stico como ferramenta para predi??o de ru?do urbano na ?rea de influ?ncia do est?dio Arena das Dunas, Natal/ RN." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/12393.

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Made available in DSpace on 2014-12-17T13:57:12Z (GMT). No. of bitstreams: 1 DeboraNP_DISSERT.pdf: 3960791 bytes, checksum: 9647ee4242a9677af8d31483a39ab9ab (MD5) Previous issue date: 2013-07-25
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The Noise Pollution causes degradation in the quality of the environment and presents itself as one of the most common environmental problems in the big cities. An Urban environment present scenario and their complex acoustic study need to consider the contribution of various noise sources. Accordingly to computational models through mapping and prediction of acoustic scene become important, because they enable the realization of calculations, analyzes and reports, allowing the interpretation of satisfactory results. The study neighborhood is the neighborhood of Lagoa Nova, a central area of the city of Natal, which will undergo major changes in urban space due to urban mobility projects planned for the area around the stadium and the consequent changes of urban form and traffic. Thus, this study aims to evaluate the noise impact caused by road and morphological changes around the stadium Arena das Dunas in the neighborhood of Lagoa Nova, through on-site measurements and mapping using the computational model SoundPLAN year 2012 and the scenario evolution acoustic for the year 2017. For this analysis was the construction of the first acoustic mapping based on current diagnostic acoustic neighborhood, physical mapping, classified vehicle count and measurement of sound pressure level, and to build the prediction of noise were observed for the area study the modifications provided for traffic, urban form and mobility work. In this study, it is concluded that the sound pressure levels of the year in 2012 and 2017 extrapolate current legislation. For the prediction of noise were numerous changes in the acoustic scene, in which the works of urban mobility provided will improve traffic flow, thus reduce the sound pressure level where interventions are expected
A Polui??o Sonora provoca degrada??o na qualidade do meio ambiente e se apresenta como um dos mais frequentes problemas ambientais nas grandes cidades. Os ambientes urbanos possuem cen?rios ac?sticos complexos e seus estudos precisam considerar a contribui??o de fontes sonoras diversas. Nesse sentido, os modelos computacionais, por meio do mapeamento e predi??o do cen?rio ac?stico, se tornam importantes, uma vez que possibilitam a realiza??o de c?lculos, de an?lises e de relat?rios que permitem a interpreta??o de resultados satisfat?rios. O bairro de estudo ? o bairro de Lagoa Nova, ?rea central da cidade do Natal, o qual passar? por grandes mudan?as no espa?o urbano devido ?s obras de mobilidade urbana previstas para o entorno do est?dio Arena das Dunas em decorr?ncia da Copa de 2014 e as consequentes mudan?as da forma urbana e no tr?fego. Dessa forma, este trabalho objetiva avaliar o impacto sonoro provocado pelas altera??es vi?rias e morfol?gicas no entorno deste est?dio no bairro de Lagoa Nova em Natal, a partir de medi??es in loco e do mapeamento com a utiliza??o do modelo computacional SoundPLAN no ano 2012 e a evolu??o do cen?rio ac?stico para 2017. Para tal an?lise, realizou-se, primeiramente, a constru??o do mapeamento ac?stico atual com base no diagn?stico ac?stico do bairro, mapeamento f?sico, contagem classificada dos ve?culos e medi??o do n?vel de press?o sonora; e para se construir a predi??o de ru?do, observou-se, para a ?rea de estudo, as modifica??es previstas para o tr?fego, forma urbana e obras de mobilidade. Conclui-se que os n?veis de press?o sonora do ano 2012 e para 2017 extrapolam, em parte, a legisla??o vigente. Para a predi??o do ru?do foram verificadas v?rias modifica??es no cen?rio ac?stico, no qual as obras de mobilidade urbana previstas melhorar?o o fluxo do tr?fego, consequentemente, reduzir?o o n?vel de press?o sonora onde est?o previstas as interven??es
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Ventura, Raphaël. "Estimation de la pollution sonore en milieu urbain par assimilation d'observations mobiles." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS387.

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La pollution sonore en milieu urbain est un enjeu sanitaire important, et l'exposition des populations doit être estimée adéquatement. Les simulations qui permettent de générer les cartes de bruit employées à cet effet sont cependant entachées d'erreurs. L'observation de l'environnement est alors judicieuse car elle permet la récolte d'informations supplémentaires en différents points de l'espace et à différents instants. Nous proposons dans cette thèse des méthodes d'assimilation de données permettant la fusion d'une carte de bruit issue de la simulation (ébauche), et d'observations acquises via l'application mobile Ambiciti. La fiabilité des observations est évaluée dans différents contextes, et nous mettons en place une méthode d'étalonnage qui permet de réduire autant que possible le biais de mesure. La combinaison de l'ébauche et des observations résulte en un estimateur nommé analyse, dont la variance de l'erreur est minimisée grâce à une estimation préalable des erreurs suivantes : corrélations spatiales des erreurs d'ébauche; erreurs d'instrumentation, de représentativité temporelle et spatiale pour l'observation. Une méthode d'assimilation à l'échelle du quartier est développée afin de générer des cartes horaires à partir d'une carte d'ébauche de bruit moyen sur une période de la journée, et d'observations acquises par un expérimentateur à travers Ambiciti. Une seconde méthode exploite l'ensemble des données partagées anonymement par les utilisateurs d'Ambiciti. Cet ensemble est filtré et classifié, et la précédente méthode est adaptée afin de produire des cartes de bruit d'analyse à l'échelle de la ville
Noise pollution is a major environmental health problems, and the determination of populations exposure is needed. This can be done through noise mapping. Usually, maps are simulation-based, and subject to high uncertainties. Observational data is distributed in space and time and hence conveys information that is complementary to simulation data. In this thesis, we propose data assimilation methods that allow one to merge prior noise maps issued by numerical simulation with phone-acquired (via the Ambiciti app) noise observations. We run a performance analysis that addresses the range, accuracy, precision and reproducibility of measurements. Conclusions of this evaluation lead us to the proposition of a calibration strategy that has been embedded in Ambiciti. The result of the prior map and observations merging is called an analysis, and is designed to have minimum error variance, based on the respective uncertainties of both data sources that we evaluated: spatial correlations for the prior error; measurement errors, time and location representativeness for the observations. We address the estimation problem on two different scales. The first method relies on the so-called ``best linear unbiased estimator''. It produces hourly noise maps, based on temporally averaged simulation maps and mobile phone audio data recorded at the neighborhood scale. The second method leverages the crowd-sensed Ambiciti user data available throughout the covered city. The observations set must be filtered and pre-processed, in order to only select the ones that were generated in adequate conditions. The prior simulation map is then corrected in a global fashion
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Gratjios, George A. "Airport noise pollution legal aspects." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59857.

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This dissertation broadly explores the problems of aircraft noise in the vicinity of major airports.
Part 1 defines the technical terms of noise and sonic boom and discusses their harmful effects on airport neighbours and their environment.
Part 2 reviews international legal regulations, commencing with the conference convened by the British Government in 1966, and ending with the ICAO Council proposals to be addressed at the 28th (Extraordinary) Session of the Assembly, in October 1990. Further, ICAO efforts in balancing the conflicting interests between developed and developing countries is highlighted, and the legal status of Annex 16 on Environmental Protection is discussed in some detail.
Part 3 examines national legislation relating to aircraft noise with an emphasis on the approach of the United States.
Part 4 canvasses liability issues through an analysis of the jurisprudence in various countries with a concentration on litigation in the United States. Of particular relevance is the applicability of the 1952 Rome Convention with respect to damages caused by noise and sonic boom.
Part 5 examines and evaluates proposed and already implemented solutions to the airport noise problem.
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Chau, Pak-lam. "Evaluation on the effectiveness of noise barriers for road traffic noise mitigation /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20038173.

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Miksis-Olds, Jennifer L. "Manatee response to environmental noise /." View online ; access limited to URI, 2006. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3225323.

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Pettit, Michael D. "A compreshensive review of the hearing conservation program at XYZ Company." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009pettitm.pdf.

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Nchemanyi, John Ngeh. "Community perceptions on noise pollution generated by aircraft in Cape Town." Thesis, Cape Peninsula University of Technology, 2006. http://hdl.handle.net/20.500.11838/781.

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Thesis (MTech (Environmental Health))--Cape Peninsula University of Technology, 2006
Airport operations have become a major source of concern due to aircraft nOIse, particularly in areas close to airports and aircraft flight tracks. Public opposition to aircraft noise is a threat to the continued growth of civil aviation in South Africa. This study investigated the psychological effects of aircraft noise on residents and school activities at a neighbourhood close to the airport, particularly the area located under the flight tracks or adjacent to the landing and departure pattern of aircraft. Bishop Lavis was chosen as the experimental area and Kensington, about 17km away from the airport, was chosen as a control area. Questionnaires coupled with oral interviews and observations were used to gather information. The findings are focused on annoyance and disturbance. The study revealed that noise exposure caused annoyance, activity disturbance and some mild effects on school results, when compared with the control area. Disturbances were experienced in some activities that need concentration. Aircraft noise also caused communication interference, sleep deprivation and affected the teaching process. The community at the experimental area indicated some non-acoustical effects, such as fear of aircraft crashing over their homes but they indicated no willingness to leave the area. As such, it becomes essential when locating and designing airports to optimise flight paths in a way to reduce noise exposure to nearby communities. Recommendations for mitigation of noise exposure are proposed, which include operational procedure, banning chapter I and 2 aircraft, restricting night flights, proper land use planning and enforcing international environmental regulations.
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Chau, Pak-lam, and 周栢林. "Evaluation on the effectiveness of noise barriers for road traffic noise mitigation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31253970.

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Books on the topic "Noise pollution. Noise. Noise mapping"

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Noise mapping in the EU: Models and procedures. Boca Raton, FL: Taylor & Francis, 2012.

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Inseth, Zachary. Noise pollution. [Chanhassen, MN]: Child's World, 1999.

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1952-, McManus Francis, ed. Noise and noise law: A practical approach. London: Wiley Chancery Law, 1994.

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Janello, Paul R. Donavan and Carrie J. Mapping Heavy Vehicle Noise Source Heights for Highway Noise Analysis. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24704.

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Kamboj, N. S. Control of noise pollution. 2nd ed. New Delhi: Deep and Deep, 1999.

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National Society for Clean Air. Noise pollution fact pack. Brighton: National Society for Clean Air, 1988.

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Kamboj, N. S. Control of noise pollution. New Delhi: Deep & Deep Publications, 1993.

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Bailey, Donna. Noise and fumes. New York: F. Watts, 1991.

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Anna, Schwarz, and SpringerLink (Online service), eds. Combustion Noise. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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Shilling, Eric. SPreAD noise prediction program. [San Dimas, Calif.]: U.S. Dept. of Agriculture, Forest Service, Technology & Development Program, 1998.

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Book chapters on the topic "Noise pollution. Noise. Noise mapping"

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Maisonneuve, Nicolas, Matthias Stevens, Maria E. Niessen, and Luc Steels. "NoiseTube: Measuring and mapping noise pollution with mobile phones." In Information Technologies in Environmental Engineering, 215–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88351-7_16.

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Chandrappa, Ramesha, and Diganta Bhusan Das. "Noise Pollution." In Environmental Health - Theory and Practice, 141–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64484-0_7.

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Theodore, Mary K., and Louis Theodore. "Noise Pollution." In Introduction to Environmental Management, 439–45. 2nd ed. Second Edition. | Boca Raton ; London: CRC Press, 2021. | “First edition published by CRC Press 2009”—T.p. verso.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003171126-58.

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Sharma, Himanshu, Yogesh Rawal, and Navneet Batra. "Noise Pollution." In Basic Concepts in Environmental Biotechnology, 45–53. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003131427-5.

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Bahadori, Alireza. "Noise Pollution Control." In Pollution Control in Oil, Gas and Chemical Plants, 211–37. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01234-6_4.

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Modi, Jahanvi. "Zero Noise Pollution." In Zero Waste, edited by Ashok K. Rathoure, 25–49. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429059247-3.

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Can, Arnaud. "Noise Pollution Indicators." In Environmental Indicators, 501–13. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9499-2_30.

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Gokhale, Sharad. "Environmental Noise Pollution." In Handbook of Environmental Engineering, 565–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119304418.ch18.

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De Muer, Tom, Andy Verkeyn, and Dick Botteldooren. "Noise Annoyance Mapping." In Spatio-Temporal Databases, 369–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09968-1_17.

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Tiwary, Abhishek, and Ian Williams. "Noise and light pollution." In Air Pollution, 583–601. Fourth edition. | Boca Raton : CRC Press, 2018. | Earlier editions written by Jeremy Colls.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429469985-13.

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Conference papers on the topic "Noise pollution. Noise. Noise mapping"

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Lakhtaria, Ketan, Sandip Trivedi, and Anurag Kandya. "Spatio-Temporal Assessment of Noise Pollution in Ahmedabad City of Gujarat through Measurements and Mapping." In ASCE India Conference 2017. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784482025.033.

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Szopinska, Kinga. "Creation of Theoretical Road Traffic Noise Model with the Help of GIS." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.122.

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Road traffic noise, as a form of environmental pollution, is an important element causing discomfort among inhabitants and leading to the emergence of noise nuisance influencing the shaping of urban space. The basic tool in combating noise is a Strategic Noise Map (SNM), which, understood as a system, constitutes an element of a city’s information layer. The system, illustrating the noise situation within a city, is prepared by means of a calculationmeasurement method using specialized computer programs. The assessment of road traffic noise begins by defining the amount of noise emissions coming from acoustically-homogenous sections (emission map), and ends with determining the extent of noise propagation in urban space (immission map). The above process is based on the analysis of actual input data describing, in a detailed manner, the analyzed road infrastructure in terms of the characteristics of the road section, information on the volume and type of traffic, and data on the organization of traffic. Under such extensive analysis of the condition of the environment, it is appropriate to apply GIS data as a methodological basis for creating SNMs. GIS data make it possible to unify the rules for collecting and archiving values characterizing the condition of the environment, as well as parameters influencing the level of noise. The aim of work is create a theoretical road traffic noise model with the help of GIS. The scope of information in attribute tables of acoustically-homogenous road sections comprising a GIS thematic layer was described in detail. The above information are the basis for generating digital road traffic noise emission maps as well as being the starting point for assessing road traffic noise in the area of a city in the form of immission maps. The article additionally analyzes the results of data derived from the first phase of noise mapping in Europe, as well as familiarizing the reader with the procedure of modelling road traffic noise emission in accordance with the CNOSSOS-EU which will become binding as of 31 December 2018 throughout the European Union, and which was introduced by the provisions of the new noise directive – Directive 2015/996 of 19 May 2015.
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Ji, Z. J., J. M. Wang, G. H. Liu, and J. Wang. "New integrated noise absorbing coating." In AIR POLLUTION 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/air100131.

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Andre, M., T. Johansson, E. Delory, and M. van der Schaar. "Cetacean biosonar and noise pollution." In Oceans 2005 - Europe. IEEE, 2005. http://dx.doi.org/10.1109/oceanse.2005.1513199.

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Butorina, Marina, Anastasiya Shabarova, and Denis Kuklin. "Noise Zoning of the City Using Noise Mapping." In 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2020. http://dx.doi.org/10.1109/eiconrus49466.2020.9039022.

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Marinov, Marin, Dimitar Nikolov, Borislav Ganev, and Georgi Nikolov. "Environmental noise monitoring and mapping." In 2017 40th International Spring Seminar on Electronics Technology (ISSE). IEEE, 2017. http://dx.doi.org/10.1109/isse.2017.8000992.

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Crewe, Alun, Florent Perrin, Gene Smiley, Vincent Benoit, and Karim Haddad. "New Procedure for Noise Source Mapping During Pass-By Noise Measurements." In SAE Brasil 2003 Congress and Exhibit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-3734.

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Habásková, Lucie, and Antonio P. Carvalho. "Squealing noise in light rail transport systems: Implications in noise mapping." In 158th Meeting Acoustical Society of America. ASA, 2010. http://dx.doi.org/10.1121/1.3274792.

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Istrate, I. A., T. Oprea, E. C. Rada, and V. Torretta. "Noise and air pollution from urban traffic." In SUSTAINABLE CITY 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/sc141162.

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Liu, Kai, Yi Zhang, Xiao-Ping Wang, and Kai Lu. "Restoration from noise pollution for quantum images." In The 2015 International Conference on Mechanics and Mechanical Engineering (MME 2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813145603_0130.

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Reports on the topic "Noise pollution. Noise. Noise mapping"

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Wanda Sowa, Wanda Sowa. Do humans and noise pollution impact the way birds sing? Experiment, April 2014. http://dx.doi.org/10.18258/2449.

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Haedrich, Caitlin, Daniel Breton, and D. Wilson. Isarithmic mapping of radio-frequency noise in the urban environment. Engineer Research and Development Center (U.S.), August 2020. http://dx.doi.org/10.21079/11681/37959.

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Breton, Daniel, Caitlin Haedrich, Matthew Kamrath, and D. Wilson. Street‐scale mapping of urban radio frequency noise at very high frequency and ultra high frequency. Engineer Research and Development Center (U.S.), August 2020. http://dx.doi.org/10.21079/11681/37824.

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Clark, Christopher W., William T. Ellison, Leila T. Hatch, Richard L. Merrick, Sofie M. Van Parijs, and David N. Wiley. An Ocean Observing System for Large-Scale Monitoring and Mapping of Noise Throughout the Stellwagen Bank National Marine Sanctuary. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada496444.

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Clark, Christopher W., William T. Ellison, Leila T. Hatch, Richard L. Merrick, Sofie M. Van Parijs, and David N. Wiley. An Ocean Observing System for Large-Scale Monitoring and Mapping of Noise Throughout the Stellwagen Bank National Marine Sanctuary. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada539192.

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Clark, Christopher W., William T. Ellison, Leila T. Hatch, Richard L. Merrick, Sofie M. Van Parijs, and David N. Wiley. An Ocean Observing System for Large-Scale Monitoring and Mapping of Noise Throughout the Stellwagen Bank National Marine Sanctuary. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531638.

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Clark, Christopher W., William T. Ellison, Leila T. Hatch, Richard L. Merrick, Sofie M. Van Parijs, and David N. Wiley. An Ocean Observing System for Large-Scale Monitoring and Mapping of Noise Throughout the Stellwagen Bank National Marine Sanctuary. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada555134.

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Coulson, Saskia, Melanie Woods, Drew Hemment, and Michelle Scott. Report and Assessment of Impact and Policy Outcomes Using Community Level Indicators: H2020 Making Sense Report. University of Dundee, 2017. http://dx.doi.org/10.20933/100001192.

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Making Sense is a European Commission H2020 funded project which aims at supporting participatory sensing initiatives that address environmental challenges in areas such as noise and air pollution. The development of Making Sense was informed by previous research on a crowdfunded open source platform for environmental sensing, SmartCitizen.me, developed at the Fab Lab Barcelona. Insights from this research identified several deterrents for a wider uptake of participatory sensing initiatives due to social and technical matters. For example, the participants struggled with the lack of social interactions, a lack of consensus and shared purpose amongst the group, and a limited understanding of the relevance the data had in their daily lives (Balestrini et al., 2014; Balestrini et al., 2015). As such, Making Sense seeks to explore if open source hardware, open source software and and open design can be used to enhance data literacy and maker practices in participatory sensing. Further to this, Making Sense tests methodologies aimed at empowering individuals and communities through developing a greater understanding of their environments and by supporting a culture of grassroot initiatives for action and change. To do this, Making Sense identified a need to underpin sensing with community building activities and develop strategies to inform and enable those participating in data collection with appropriate tools and skills. As Fetterman, Kaftarian and Wanderman (1996) state, citizens are empowered when they understand evaluation and connect it in a way that it has relevance to their lives. Therefore, this report examines the role that these activities have in participatory sensing. Specifically, we discuss the opportunities and challenges in using the concept of Community Level Indicators (CLIs), which are measurable and objective sources of information gathered to complement sensor data. We describe how CLIs are used to develop a more indepth understanding of the environmental problem at hand, and to record, monitor and evaluate the progress of change during initiatives. We propose that CLIs provide one way to move participatory sensing beyond a primarily technological practice and towards a social and environmental practice. This is achieved through an increased focus in the participants’ interests and concerns, and with an emphasis on collective problem solving and action. We position our claims against the following four challenge areas in participatory sensing: 1) generating and communicating information and understanding (c.f. Loreto, 2017), 2) analysing and finding relevance in data (c.f. Becker et al., 2013), 3) building community around participatory sensing (c.f. Fraser et al., 2005), and 4) achieving or monitoring change and impact (c.f. Cheadle et al., 2000). We discuss how the use of CLIs can tend to these challenges. Furthermore, we report and assess six ways in which CLIs can address these challenges and thereby support participatory sensing initiatives: i. Accountability ii. Community assessment iii. Short-term evaluation iv. Long-term evaluation v. Policy change vi. Capability The report then returns to the challenge areas and reflects on the learnings and recommendations that are gleaned from three Making Sense case studies. Afterwhich, there is an exposition of approaches and tools developed by Making Sense for the purposes of advancing participatory sensing in this way. Lastly, the authors speak to some of the policy outcomes that have been realised as a result of this research.
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