Title: Large-scale noise simulation and visualization of moving point sources
Other Titles: Grossräumige Lärmsimulation und Visualisierung von bewegen Punktquellen
Language: English
Authors: Arbesser, Clemens 
Qualification level: Diploma
Advisor: Gröller, Eduard  
Issue Date: 2013
Arbesser, C. (2013). Large-scale noise simulation and visualization of moving point sources [Diploma Thesis]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-76055
Number of Pages: 80
Qualification level: Diploma
Noise pollution is an ever increasing problem not just in urban environments but also in more rural areas such as small villages, along country roads or even in very sparsely populated regions. The demands of the industry and local governments often clash with the interests of people in the neighborhood, creating areas of conflict that often end up in court. Though in many countries noise assessments are mandatory in order to obtain building permission, these documents are usually not suited or sometimes conceivably not even intended to convey the impact of projects on their environment to the general public. The purpose of this master's thesis is to propose ways to simulate and visualize noise pollution in large-scale, non-urban environments in order to help communicate the impact of new sound emitters on affected neighbors. Knowledge of noise propagation, the influence of the terrain and other obstacles as well as how different emitters add up can provide valuable insights and help in the decision-making process. This knowledge may be particularly helpful when trying to decide on suitable locations for noise screens and/or when trying to find good places to offset some of the local noise emitters. The tool developed uses NVIDIA's CUDA architecture and the European norm ISO 9613-2: Attenuation of sound during propagation outdoors to create real-time visualizations in both 2D and 3D. Results are compared against ground truth data obtained by taking noise measurements in the field.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-76055
Library ID: AC11071039
Organisation: E186 - Institut für Computergraphik und Algorithmen 
Publication Type: Thesis
Appears in Collections:Thesis

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