Spatial Interpolation contribution to noise maps uncertainty

Asensio Rivera, César and Recuero López, Manuel and Ruiz González, Mariano and Ausejo Prieto, Miguel and Pavón García, Ignacio (2010). Spatial Interpolation contribution to noise maps uncertainty. In: "39th International Congress on Noise Control engineering. Inter-noise 2010", 13/06/2010 - 16/06/2010, Lisboa, Portugal. ISBN 9781617823961.

Description

Title: Spatial Interpolation contribution to noise maps uncertainty
Author/s:
  • Asensio Rivera, César
  • Recuero López, Manuel
  • Ruiz González, Mariano
  • Ausejo Prieto, Miguel
  • Pavón García, Ignacio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 39th International Congress on Noise Control engineering. Inter-noise 2010
Event Dates: 13/06/2010 - 16/06/2010
Event Location: Lisboa, Portugal
Title of Book: Proceedings of the 39th International Congress on Noise Control engineering. Inter-noise 2010
Date: 2010
ISBN: 9781617823961
Subjects:
Freetext Keywords: noise map, uncertainty, interpolation, sampling grids, simulation
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica y de Fabricación [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Noise maps results are usually presented as contour graphs or isophone curves, which describe the sound levels as functions of spatial location. These maps are added to Geographic Information Systems (GIS), allowing sound level evaluation as a function of the continuous coordinates x and y, for a given height above ground. Although the outcome of the system is a continuous variable, the calculations that allow its evaluation are obtained in discrete points that form a calculation grid, which is created by the application of spatial sampling techniques. Using spatial interpolation tools, values are assigned to the locations in which measures or calculations have not been performed. The application of sampling and interpolation techniques (the type of grid, its density, the interpolation algorithms…) contributes to the uncertainty of the results. This paper describes a calculation method to quantify the uncertainty associated to the spatial sampling and interpolation process. We also propose a revision of the classical meaning of noise mapping uncertainty, taking into account the final application of the results.

More information

Item ID: 7965
DC Identifier: http://oa.upm.es/7965/
OAI Identifier: oai:oa.upm.es:7965
Deposited by: Memoria Investigacion
Deposited on: 13 Jul 2011 08:43
Last Modified: 20 Apr 2016 16:53
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