Spatial Interpolation contribution to noise maps uncertainty

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

Descripción

Título: Spatial Interpolation contribution to noise maps uncertainty
Autor/es:
  • Asensio Rivera, César
  • Recuero López, Manuel
  • Ruiz González, Mariano
  • Ausejo Prieto, Miguel
  • Pavón García, Ignacio
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 39th International Congress on Noise Control engineering. Inter-noise 2010
Fechas del Evento: 13/06/2010 - 16/06/2010
Lugar del Evento: Lisboa, Portugal
Título del Libro: Proceedings of the 39th International Congress on Noise Control engineering. Inter-noise 2010
Fecha: 2010
ISBN: 9781617823961
Materias:
Palabras Clave Informales: noise map, uncertainty, interpolation, sampling grids, simulation
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Mecánica y de Fabricación [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 7965
Identificador DC: http://oa.upm.es/7965/
Identificador OAI: oai:oa.upm.es:7965
Depositado por: Memoria Investigacion
Depositado el: 13 Jul 2011 08:43
Ultima Modificación: 20 Abr 2016 16:53
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