Descripción
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Noise mapping is a complex process requiring a large amount of data from different sources, which are not always available. In the process, there are many factors involving simplifications, approaches and deviations that contribute to the final uncertainty of the result. An error in the final result of the noise map causes an incorrect amount of exposed population, as well as the design and implementation of inadequate or wrong noise action plans. The uncertainty analysis in the creation of noise maps is therefore a key tool to design noise action plans. However, up to now, there are only guides giving an approximate range of possible contribution to the uncertainty depending on the quality of input data. The present paper analyses the contributions to the total uncertainty of a noise map, proposing a methodology to quantify it. After analyzing the sources that contribute to the overall system uncertainty, a method to quantify the expanded uncertainty properly is proposed, through an analytical calculation and experimental determination. Thus, a specific value of the uncertainty of a map can be calculated avoiding approximations and range values. | |
Internacional
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Si |
ISSN o ISBN
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cd |
Entidad relacionada
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Nacionalidad Entidad
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Sin nacionalidad |
Lugar del congreso
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Lisboa |