Road Noise in the Environment Measurements in Real Life
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Best LIFE Environment Projects 2015
RONM VI EN N T E P E R O F I J L E C T T S S E B Best LIFE Environment projects 2015 LIFE Environment Environment LIFE ENVIRONMENT | BEST LIFE ENVIRONMENT PROJECTS 2015 EUROPEAN COMMISSION ENVIRONMENT DIRECTORATE-GENERAL LIFE (“The Financial Instrument for the Environment”) is a programme launched by the European Commission and coordinated by the Environment and Climate Action Directorates-General. The Commission has delegated the im- plementation of many components of the LIFE programme to the Executive Agency for Small and Medium-sized Enterprises (EASME). The contents of the publication “Best LIFE Environment Projects 2015” do not necessarily reflect the opinions of the institutions of the European Union. Authors: Gabriella Camarsa (Environment expert), Justin Toland, Jon Eldridge, Wendy Jones, Joanne Potter, Stephen Jones, Stephen Nottingham, Marianne Geater, Isabelle Rogerson, Derek McGlynn, Carlos de la Paz (NEEMO EEIG), Eva Martínez (NEEMO EEIG, Communications Team Coordinator). Managing Editor: Hervé Martin (European Commission, Environment DG, LIFE D.4). LIFE Focus series coordination: Simon Goss (LIFE Communications Coordinator), Valerie O’Brien (Environment DG, Publications Coordinator). Technical assistance: Chris People, Luule Sinnisov, Cristóbal Gines (NEEMO EEIG). The following people also worked on this issue: Davide Messina, François Delceuillerie (Environment DG, LIFE Unit), Giulia Carboni (EASME, LIFE Unit). Production: Monique Braem (NEEMO EEIG). Graphic design: Daniel Renders, Anita Cortés (NEEMO EEIG). Photos database: Sophie Brynart (NEEMO EEIG). Acknowledgements: Thanks to all LIFE project beneficiaries who contributed comments, photos and other useful material for this report. Photos: Unless otherwise specified; photos are from the respective pro- jects. For reproduction or use of these photos, permission must be sought directly from the copyright holders. -
Problems in Residential Design for Ventilation and Noise
Proceedings of the Institute of Acoustics PROBLEMS IN RESIDENTIAL DESIGN FOR VENTILATION AND NOISE J Harvie-Clark Apex Acoustics Ltd, Gateshead, UK (email: [email protected]) M J Siddall LEAP : Low Energy Architectural Practice, Durham, UK (email: [email protected]) & Northumbria University, Newcastle upon Tyne, UK ([email protected]) 1. ABSTRACT This paper addresses three broad problems in residential design for achieving sufficient ventilation provision with reasonable internal ambient noise levels. The first problem is insufficient qualification of the ventilation conditions that should be achieved while meeting the internal ambient noise level limits. Requirements from different Planning Authorities vary widely; qualification of the ventilation condition is proposed. The second problem concerns the feasibility of natural ventilation with background ventilators; the practical result falls between Building Control and Planning Authority such that appropriate ventilation and internal noise limits may not both be achieved. Greater coordination between planning guidance and Building Regulations is suggested. The third problem concerns noise from mechanical systems that is currently entirely unregulated, yet again can preclude residents from enjoying reasonable indoor air quality and noise levels simultaneously. Surveys from over 1000 dwellings are reviewed, and suitable noise limits for mechanical services are identified. It is suggested that commissioning measurements by third party accredited bodies are required in all cases as the only reliable means to ensure that that the intended conditions are achieved in practice. 2. INTRODUCTION The adverse effects of noise on residents are well known; the general limits for internal ambient noise levels are described in the World Health Organisations Guidelines for Community Noise (GCN)1, Night Noise Guidelines (NNG)3 and BS 82332. -
Survey of Noise in Image and Efficient Technique for Noise Reduction
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391 Survey of Noise in Image and Efficient Technique for Noise Reduction Arti Singh1, Madhu2 1, 2Research Scholar, Computer Science, BBAU University, Lucknow , Uttar Pradesh, India Abstract: Removing noise from the image is big challenge for researcher because removal of noise in image causes the artifacts and image blurring. Noise occurred in image during the time of capturing and transmission of the image. There are many methods for noise removal from the images. Many algorithms and techniques are available for removing noise from image, but each method exist their own assumptions, merits and demerits. Noise reduction algorithms for remove noise is totally depends on what type of noise occur in the image. In this paper, focus on some important type of noise and noise removal techniques is done. Keywords: Impulse noise, Gaussian noise , Speckle noise ,Poisson noise, mean filter, median filter ,etc 1. Introduction or over heated faulty component can cause noise arise in image because of sharp and sudden changes of Digital image processing is using of algorithms for image signal. 퐼 푖, 푗 푥 < 푙 improve quality order of digital image .This error on 퐼푠푝 푖, 푗 = image is called noise in image which do not reflect real 퐼푚푖푛 + 푌 퐼푚푎푥 −퐼푚푖푛 푥 > 푙 intensities of actual scene. There are two problems found x,y∈[0,1] are two uniformly distributed random variables in image processing: Blurring and image noise. Noise image occurred by many reasons: When we capture image from camera (scratches are available in camera). -
All You Need to Know About SINAD Measurements Using the 2023
applicationapplication notenote All you need to know about SINAD and its measurement using 2023 signal generators The 2023A, 2023B and 2025 can be supplied with an optional SINAD measuring capability. This article explains what SINAD measurements are, when they are used and how the SINAD option on 2023A, 2023B and 2025 performs this important task. www.ifrsys.com SINAD and its measurements using the 2023 What is SINAD? C-MESSAGE filter used in North America SINAD is a parameter which provides a quantitative Psophometric filter specified in ITU-T Recommendation measurement of the quality of an audio signal from a O.41, more commonly known from its original description as a communication device. For the purpose of this article the CCITT filter (also often referred to as a P53 filter) device is a radio receiver. The definition of SINAD is very simple A third type of filter is also sometimes used which is - its the ratio of the total signal power level (wanted Signal + unweighted (i.e. flat) over a broader bandwidth. Noise + Distortion or SND) to unwanted signal power (Noise + The telephony filter responses are tabulated in Figure 2. The Distortion or ND). It follows that the higher the figure the better differences in frequency response result in different SINAD the quality of the audio signal. The ratio is expressed as a values for the same signal. The C-MES signal uses a reference logarithmic value (in dB) from the formulae 10Log (SND/ND). frequency of 1 kHz while the CCITT filter uses a reference of Remember that this a power ratio, not a voltage ratio, so a 800 Hz, which results in the filter having "gain" at 1 kHz. -
Unit 2. Lesson 5. Noise Pollution
ACOUSTICAL OCEANOGRAPHY Unit 2. Lesson 5. Noise Pollution Objectives: Upon completion of this unit, students will understand that noise pollution is more than loud noises. They will also learn what causes hearing damage and that animals, as well as humans, are subject to hearing loss. Vocabulary words: litter, pollution, loudness-related hearing loss, blast trauma What is Noise Pollution? Litter on the side of the road, is thought to be a sound so junk floating in the water, and intense that it could shatter smokes spewing into the glass, or crack plaster in rooms atmosphere from factory or on buildings. That is not so. smokestacks are obvious forms It can come from sources such of pollution. There are other as jet airplanes, constant types of pollution that are not droning of traffic, motorcycles, as obvious. Noise pollution is high-power equipment, or loud one form. What is noise music. pollution? It is defined as sounds, or noises, that are loud, annoying and harmful to the ear. Often, sound pollution How is Noise Pollution Harmful? Sound energy is transferred When sound reaches the through compressions and human ear, it causes structures rarefactions. to vibrate. Intense vibrations (Reference can rupture the eardrum, but lesson 1, if more often, loudness-related necessary.) hearing loss usually develops If the over time. When sound enters intensity is the ear, it is transferred to the very large, it can harm human brain as a nerve impulse. Each and animal ears, and do nerve is composed of tiny nerve damage to physical structures. fibers, surrounded by special fluid within the ear. -
Monitoring of Sound Pressure Level
1. INTRODUCTION Noise is one of the main environmental problems of modern life and it is inseparable from human activities, urban and technological growth. National and international standards provide for a minimum of acoustic comfort for coexistence between man and industrial development. That's why a study of noise emission and environmental noise at the PALAGUA - CAIPAL Field was carried out; samples of measurements were taken in specific (punctual) manner to meet the sound pressure level (SPL) with a duration of five minutes per sample/measurement for noise measurements and 15 minutes for ambient or environmental noise in each direction: (north, east, south, west and vertical). The result of these measurements was compared with the maximum permissible noise emission and environmental noise standards stated in Resolution 627 of 2006 Ministry of Environment, Housing, and Territorial Development (MAVDT) and thus it was verified that they comply with environmental regulations in the PALAGUA - CAIPAL Field. 1 INFORME DE LABORATORIO 0860-09-ECO. NIVELES DE PRESIÓN SONORA EN EL AREA DE PRODUCCION CAMPO PALAGUA - CAIPAL PUERTO BOYACA, BOYACA. NOVIEMBRE DE 2009. 2. OBJECTIVES • To evaluate the emission of noise and environmental noise encountered in the PALAGUA - CAIPAL Gas Field area, located in the municipality of Puerto Boyacá, Boyacá. • To compare the obtained sound pressure levels at points monitored, with the permissible limits of resolution 627 of the Ministry of Environment, SECTOR C: RESTRICTED INTERMEDIATE NOISE, which allows a maximum of 75 dB in the daytime (7:01 to 21:00) and 70 dB in the night shift (21:01 to 7: 00 hours) 2 INFORME DE LABORATORIO 0860-09-ECO. -
The Psychophysiological Implications of Soundscape: a Systematic Review of Empirical Literature and a Research Agenda
International Journal of Environmental Research and Public Health Review The Psychophysiological Implications of Soundscape: A Systematic Review of Empirical Literature and a Research Agenda Mercede Erfanian * , Andrew J. Mitchell , Jian Kang * and Francesco Aletta UCL Institute for Environmental Design and Engineering, The Bartlett, University College London (UCL), Central House, 14 Upper Woburn Place, London WC1H 0NN, UK; [email protected] (A.J.M.); [email protected] (F.A.) * Correspondence: [email protected] (M.E.); [email protected] (J.K.); Tel.: +44-(0)20-3108-7338 (J.K.) Received: 16 September 2019; Accepted: 19 September 2019; Published: 21 September 2019 Abstract: The soundscape is defined by the International Standard Organization (ISO) 12913-1 as the human’s perception of the acoustic environment, in context, accompanying physiological and psychological responses. Previous research is synthesized with studies designed to investigate soundscape at the ‘unconscious’ level in an effort to more specifically conceptualize biomarkers of the soundscape. This review aims firstly, to investigate the consistency of methodologies applied for the investigation of physiological aspects of soundscape; secondly, to underline the feasibility of physiological markers as biomarkers of soundscape; and finally, to explore the association between the physiological responses and the well-founded psychological components of the soundscape which are continually advancing. For this review, Web of Science, PubMed, Scopus, and -
Noise Tutorial Part IV ~ Noise Factor
Noise Tutorial Part IV ~ Noise Factor Whitham D. Reeve Anchorage, Alaska USA See last page for document information Noise Tutorial IV ~ Noise Factor Abstract: With the exception of some solar radio bursts, the extraterrestrial emissions received on Earth’s surface are very weak. Noise places a limit on the minimum detection capabilities of a radio telescope and may mask or corrupt these weak emissions. An understanding of noise and its measurement will help observers minimize its effects. This paper is a tutorial and includes six parts. Table of Contents Page Part I ~ Noise Concepts 1-1 Introduction 1-2 Basic noise sources 1-3 Noise amplitude 1-4 References Part II ~ Additional Noise Concepts 2-1 Noise spectrum 2-2 Noise bandwidth 2-3 Noise temperature 2-4 Noise power 2-5 Combinations of noisy resistors 2-6 References Part III ~ Attenuator and Amplifier Noise 3-1 Attenuation effects on noise temperature 3-2 Amplifier noise 3-3 Cascaded amplifiers 3-4 References Part IV ~ Noise Factor 4-1 Noise factor and noise figure 4-1 4-2 Noise factor of cascaded devices 4-7 4-3 References 4-11 Part V ~ Noise Measurements Concepts 5-1 General considerations for noise factor measurements 5-2 Noise factor measurements with the Y-factor method 5-3 References Part VI ~ Noise Measurements with a Spectrum Analyzer 6-1 Noise factor measurements with a spectrum analyzer 6-2 References See last page for document information Noise Tutorial IV ~ Noise Factor Part IV ~ Noise Factor 4-1. Noise factor and noise figure Noise factor and noise figure indicates the noisiness of a radio frequency device by comparing it to a reference noise source. -
Monitoring the Acoustic Performance of Low- Noise Pavements
Monitoring the acoustic performance of low- noise pavements Carlos Ribeiro Bruitparif, France. Fanny Mietlicki Bruitparif, France. Matthieu Sineau Bruitparif, France. Jérôme Lefebvre City of Paris, France. Kevin Ibtaten City of Paris, France. Summary In 2012, the City of Paris began an experiment on a 200 m section of the Paris ring road to test the use of low-noise pavement surfaces and their acoustic and mechanical durability over time, in a context of heavy road traffic. At the end of the HARMONICA project supported by the European LIFE project, Bruitparif maintained a permanent noise measurement station in order to monitor the acoustic efficiency of the pavement over several years. Similar follow-ups have recently been implemented by Bruitparif in the vicinity of dwellings near major road infrastructures crossing Ile- de-France territory, such as the A4 and A6 motorways. The operation of the permanent measurement stations will allow the acoustic performance of the new pavements to be monitored over time. Bruitparif is a partner in the European LIFE "COOL AND LOW NOISE ASPHALT" project led by the City of Paris. The aim of this project is to test three innovative asphalt pavement formulas to fight against noise pollution and global warming at three sites in Paris that are heavily exposed to road noise. Asphalt mixes combine sound, thermal and mechanical properties, in particular durability. 1. Introduction than 1.2 million vehicles with up to 270,000 vehicles per day in some places): Reducing noise generated by road traffic in urban x the publication by Bruitparif of the results of areas involves a combination of several actions. -
AN279: Estimating Period Jitter from Phase Noise
AN279 ESTIMATING PERIOD JITTER FROM PHASE NOISE 1. Introduction This application note reviews how RMS period jitter may be estimated from phase noise data. This approach is useful for estimating period jitter when sufficiently accurate time domain instruments, such as jitter measuring oscilloscopes or Time Interval Analyzers (TIAs), are unavailable. 2. Terminology In this application note, the following definitions apply: Cycle-to-cycle jitter—The short-term variation in clock period between adjacent clock cycles. This jitter measure, abbreviated here as JCC, may be specified as either an RMS or peak-to-peak quantity. Jitter—Short-term variations of the significant instants of a digital signal from their ideal positions in time (Ref: Telcordia GR-499-CORE). In this application note, the digital signal is a clock source or oscillator. Short- term here means phase noise contributions are restricted to frequencies greater than or equal to 10 Hz (Ref: Telcordia GR-1244-CORE). Period jitter—The short-term variation in clock period over all measured clock cycles, compared to the average clock period. This jitter measure, abbreviated here as JPER, may be specified as either an RMS or peak-to-peak quantity. This application note will concentrate on estimating the RMS value of this jitter parameter. The illustration in Figure 1 suggests how one might measure the RMS period jitter in the time domain. The first edge is the reference edge or trigger edge as if we were using an oscilloscope. Clock Period Distribution J PER(RMS) = T = 0 T = TPER Figure 1. RMS Period Jitter Example Phase jitter—The integrated jitter (area under the curve) of a phase noise plot over a particular jitter bandwidth. -
Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction
Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction Santosh Paudel Ajay Kumar Shrestha Pradip Singh Maharjan Rameshwar Rijal Computer and Electronics Computer and Electronics Computer and Electronics Computer and Electronics Engineering Engineering Engineering Engineering KEC, TU KEC, TU KEC, TU KEC, TU Lalitpur, Nepal Lalitpur, Nepal Lalitpur, Nepal Lalitpur, Nepal [email protected] [email protected] [email protected] [email protected] Abstract—During the acquisition of an image from its systems such as laser, acoustics and SAR (Synthetic source, noise always becomes integral part of it. Various Aperture Radar) images [3]. algorithms have been used in past to denoise the images. Image denoising still has scope for improvement. Visual This paper introduces different types of noise to be information transmitted in the form of digital images has considered in an image and analyzed for various spatial become a considerable method of communication in the and transforms domain filters by considering the image modern age, but the image obtained after transmission is metrics such as mean square error (MSE), root mean often corrupted due to noise. In this paper, we review the squared error (RMSE), Peak Signal to Noise Ratio existing denoising algorithms such as filtering approach (PSNR) and universal quality index (UQI). and wavelets based approach, and then perform their comparative study with bilateral filters. We use different II. BACKGROUND noise models to describe additive and multiplicative noise The Wavelet Transform (WT) is a powerful tool of in an image. Based on the samples of degraded pixel signal and image processing, which has been neighborhoods as inputs, the output of an efficient filtering successfully used in many scientific fields such as signal approach has shown a better image denoising performance. -
Soundscape Mapping in Environmental Noise Management and Urban Planning
This is a repository copy of Soundscape mapping in environmental noise management and urban planning. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/128385/ Version: Published Version Article: Margaritis, E. and Kang, J. orcid.org/0000-0001-8995-5636 (2017) Soundscape mapping in environmental noise management and urban planning. Noise Mapping (4). 1. pp. 87-103. ISSN 2084-879X https://doi.org/10.1515/noise-2017-0007 Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can’t change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Noise Mapp. 2017; 4:87ś103 Research Article Efstathios Margaritis* and Jian Kang Soundscape mapping in environmental noise management and urban planning: case studies in two UK cities https://doi.org/10.1515/noise-2017-0007 tentional design process comparable to landscape and to Received Dec 22, 2017; accepted Dec 28, 2017 introduce the theories of soundscape into the design pro- cess of urban public spaces”. Lately, suggestions of ap- plied soundscape practises were introduced in the Master plan level thanks to the initiative of the local authorities.