RUSSIAN EXPERIENCE OF TRANSPORT NOISE ESTIMATION AND MAPPING

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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EXPERIMENTAL RESEARCH OF ENVIRONMENTAL NOISE IN URBAN CONDITIONS BEFORE AND DURING COVID-19 PERIOD ON THE EXAMPLE OF SAMARA REGION OF RUSSIAN FEDERATION

Akustika ◽

10.36336/akustika202139193 ◽

2021 ◽

pp. 193

Author(s):

Andrey Vasilyev

Keyword(s):

Noise Level ◽

Low Frequency ◽

Environmental Noise ◽

Industrial Plants ◽

City Environment ◽

Industrial Enterprises ◽

Urban Territories ◽

Noise Measurements ◽

Urban Conditions ◽

The City

Today the acoustical pollution is well monitored, especially in the urban environment, and in particular area it is still increasing. Environmental noise impact is increasing every year and may cause serious negative problems for inhabitants. Transport and industrial plants are making the most significant noise levels in the city environment. This paper presents the results of research of environmental noise in urban conditions before and during COVID-19 period on the example of Samara region of Russia. In Russia strong COVID-19 restrictions of traffic movement and industrial enterprises operation have caused significant variations of environmental noise generation and impact in conditions of urban territories. Comparison of results of environmental noise measurements noise in urban conditions before and during COVID-19 period is showing that transport noise level is reduced, but the industrial noise level is almost the same, especially in low frequency range.

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Innovation in Noise Mapping in Natural Gas Compressor Stations

2010 8th International Pipeline Conference, Volume 3 ◽

10.1115/ipc2010-31048 ◽

2010 ◽

Author(s):

K. K. Botros ◽

A. Hawryluk ◽

J. Geerligs ◽

B. Huynh ◽

R. Phernambucq

Keyword(s):

Sound Pressure Level ◽

Gas Turbines ◽

Sound Pressure ◽

Dominant Frequency ◽

Pressure Level ◽

Multiple Point ◽

Noise Sources ◽

Noise Mapping ◽

Noise Measurements ◽

Future Work

Noise is generated at gas turbine-based compressor stations from a number of sources, including turbomachinery (gas turbines and compressors), airflow through inlet ducts and scrubbers, exhaust stacks, aerial coolers, and auxiliary systems. Understanding these noise sources is necessary to ensure that the working conditions on site are safe and that the audible noise at neighbouring properties is acceptable. Each noise source has different frequency content, and the overall sound pressure level (OSPL) at any location in the station yard or inside the compressor building is the result of a superposition of these noise sources. This paper presents results of multiple-point spectral noise measurements at three of TransCanada’s compressor stations on the Alberta System. A method is described to determine the overall noise map of the station yard using Delaunay Triangulation and Natural-Neighbour Interpolation techniques. The results are presented in OSPL maps, as well as animated pictures of the sound pressure level (SPL) in frequency domain which will be shown on a video at the conference. The latter will be useful in future work to determine the culprit sources and the respective dominant frequency range that contributes the most to the OSPL.

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Methods and Results of Monitoring of Acoustical Pollutions of Urban Territories on the Exhample of Samara Region of Russia

Ecology and Industry of Russia ◽

10.18412/1816-0395-2019-6-28-33 ◽

2019 ◽

Vol 23 (6) ◽

pp. 28-33 ◽

Cited By ~ 1

Author(s):

A.V. Yakimovich ◽

A.V. Vasilyev ◽

V.A. Vasilyev

Keyword(s):

Noise Reduction ◽

The Other ◽

Automated System ◽

Noise Mapping ◽

New Approach ◽

Noise Impact ◽

Urban Territories ◽

Noise Measurements ◽

Acoustical Monitoring ◽

Urban Territory

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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Estimation of Noise Influence to the Health of Population: Italian and Russian Approache

Safety in Technosphere ◽

10.12737/24147 ◽

2016 ◽

Vol 5 (5) ◽

pp. 22-26

Author(s):

Васильев ◽

Andrey Vasilyev ◽

Луцци ◽

Sergio Luzzi

Keyword(s):

Quality Of Life ◽

Population Health ◽

Urban Areas ◽

Noise Estimation ◽

Influence Diagrams ◽

Noise Propagation ◽

Noise Mapping ◽

Factors Influencing ◽

Acoustic Comfort

Negative noise influence to the population health is increasing every year. Italian and Russian approaches to noise influence estimation are described. Acoustic comfort in urban areas cannot be completely separated by other factors influencing the quality of life. Results of estimation of noise influence are presented. Modeling of noise propagation and noise mapping in Russia are considered. Formalization and modeling of transport flows it is suggested to do by using of influence diagrams. Example of transport noise estimation in Italy is described.

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Duplicate Detection of Spike Events: A Relevant Problem in Human Single-Unit Recordings

Brain Sciences ◽

10.3390/brainsci11060761 ◽

2021 ◽

Vol 11 (6) ◽

pp. 761

Author(s):

Gert Dehnen ◽

Marcel S. Kehl ◽

Alana Darcher ◽

Tamara T. Müller ◽

Jakob H. Macke ◽

...

Keyword(s):

Data Quality ◽

Single Unit ◽

Human Subjects ◽

External Noise ◽

Hospital Environment ◽

Noise Sources ◽

Recording Channels ◽

Waveform Similarity ◽

Therapeutic Procedures ◽

Single Unit Recordings

Single-unit recordings in the brain of behaving human subjects provide a unique opportunity to advance our understanding of neural mechanisms of cognition. These recordings are exclusively performed in medical centers during diagnostic or therapeutic procedures. The presence of medical instruments along with other aspects of the hospital environment limit the control of electrical noise compared to animal laboratory environments. Here, we highlight the problem of an increased occurrence of simultaneous spike events on different recording channels in human single-unit recordings. Most of these simultaneous events were detected in clusters previously labeled as artifacts and showed similar waveforms. These events may result from common external noise sources or from different micro-electrodes recording activity from the same neuron. To address the problem of duplicate recorded events, we introduce an open-source algorithm to identify these artificial spike events based on their synchronicity and waveform similarity. Applying our method to a comprehensive dataset of human single-unit recordings, we demonstrate that our algorithm can substantially increase the data quality of these recordings. Given our findings, we argue that future studies of single-unit activity recorded under noisy conditions should employ algorithms of this kind to improve data quality.

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