Creating Acoustic Maps Employing Supercomputing Cluster

The implemented online urban noise pollution monitoring system is presented with regard to its conceptual assumptions and technical realization. A concept of the noise source parameters dynamic assessment is introduced. The idea of noise modeling, based on noise emission characteristics and emission simulations, was developed and practically utilized in the system. Furthermore, the working system architecture and the data acquisition scheme are described. The method for increasing the speed of noise map calculation employing a supercomputer is explained. The practical implementation of noise maps generation and visualization system is presented, together with introduced improvements in the domain of continuous noise monitoring and acoustic maps creation. Some results of tests performed using the system prototype are shown. The main focus is put on assessing the efficiency of the acoustic maps created with the discussed system, in comparison to results obtained with traditional methods.

[1]  B. Kostek,et al.  Long-Term Comparative Evaluation of Acoustic Climate in Selected Schools Before and After Acoustic Treatment , 2010 .

[2]  Diana Ioana Popescu,et al.  Monitoring the reaction and response of people to urban noise , 2010 .

[3]  Z. Engel From the history of the Noise Control Conference , 2010 .

[4]  Piotr Dalka,et al.  Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing , 2006 .

[5]  Chun-Jen Chen,et al.  A linear-time component-labeling algorithm using contour tracing technique , 2004, Comput. Vis. Image Underst..

[6]  John E. Harmon,et al.  The Design and Implementation of Geographic Information Systems , 2003 .

[7]  K. Attenborough,et al.  An improved ray-tracing algorithm for predicting sound propagation outdoors , 1998 .

[8]  Tony F. W. Embleton,et al.  Tutorial on sound propagation outdoors , 1996 .

[9]  W. Batko,et al.  Non-parametric methods of estimation of type A uncertainty of theenvironmental noise hazard indices , 2009 .

[10]  Rufin Makarewicz,et al.  Verification of two methods of railway noise propagation , 2009 .

[11]  Andrzej Czyzewski,et al.  Software for Calculation of Noise Maps Implemented on Supercomputer , 2009 .

[12]  W. Probst STRATEGIC NOISE MAPPING - CAN IT SERVE AS A TOOL IN CITY PLANNING? , 2009 .

[13]  Maciej Szczodrak,et al.  Investigation of the Road Noise Source Employing an Automatic Noise Monitoring Station , 2008 .

[14]  B. Kostek,et al.  The noise-induced harmful effect assessment based on the properties of thehuman hearing system , 2008 .

[15]  Marek Pawełczyk,et al.  Active noise control - a review of control-related problems , 2008 .

[16]  Andrzej Czyzewski,et al.  Multimedia Services Applied to Noise and Hearing Monitoring and Measuring , 2008 .

[17]  Tadeusz Wszołek,et al.  Noise hazard to the population of areas connected with functioning of roadway frontier crossings , 2007 .

[18]  Andrzej Czyzewski,et al.  Multimedialny System Monitorowania Hałasu , 2007 .

[19]  Radosław Kucharski,et al.  Complex noise indicator for noise mapping based on the EU working groups' and Polish results of the annoyance investigations , 2007 .

[20]  Bozena Kostek,et al.  Determining the noise impact on hearing using psychoacoustical noise dosimeter , 2007 .

[21]  Hans Jonasson,et al.  Source modelling of road vehicles , 2004 .

[22]  Ulf Sandberg,et al.  Harmonoise. Work package 1.1. Deliverable 9: Source modelling of road vehicles , 2004 .

[23]  S. Merler,et al.  WEBGIS technologies for geolocation of epidemiological data : an application for the surveillance of the risk of Lyme borreliosis disease , 2002 .