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Noise Mapping

Ed. by Asdrubali, Francesco

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Reconstruction of historical noise exposure data for environmental epidemiology in Switzerland within the SiRENE project

Ioannis Karipidis
  • Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Danielle Vienneau
  • Swiss Tropical and Public Health Institute, Basel, Switzerland, and University of Basel, Basel, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Manuel Habermacher / Micha Köpflii / Mark Brink / Nicole Probst-Hensch
  • Swiss Tropical and Public Health Institute, Basel, Switzerland, and University of Basel, Basel, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Martin Röösli
  • Swiss Tropical and Public Health Institute, Basel, Switzerland, and University of Basel, Basel, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Jean-Marc Wunderli
  • Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-07-31 | DOI: https://doi.org/10.2478/noise-2014-0002

Abstract

In 2014 the three-year interdisciplinary study SiRENE (Short and Long Term Effects of Traffic Noise Exposure) was launched in Switzerland. The goal of SiRENE is to investigate acute, short- and long-term e_ects of road, railway and aircraft noise exposure on annoyance, sleep disturbances and cardio-metabolic risk.

The study is based on a detailed Swiss-wide assessment of transportation noise exposure, including diurnal distributions. The exposure analysis comprises current as well as historical exposure calculations for up to 20 years in the past.

We present the major challenges of compiling sufficient data to support a Swiss-wide model for all buildings and including all transport infrastructure as a basis for the subsequent SiRENE sound exposure analysis for the years 2011, 2001 and 1991. The task is particularly challenging for the early years due to poor data quality and/or lack of availability. We address the integration of geo-referenced input datasets from various sources and time periods, the assignment of tra_c noise exposure from façade points to dwelling units, as well as the processing of traffic information and statistics. Preliminary results of the noise exposure calculations are presented.

Keywords: Noise exposure; transportation noise; traffic noise; annoyance; sleep disturbance; cardio-metabolic risk

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About the article

Received: 2014-05-05

Accepted: 2014-07-02

Published Online: 2014-07-31


Citation Information: Noise Mapping, Volume 1, Issue 1, ISSN (Online) 2084-879X, DOI: https://doi.org/10.2478/noise-2014-0002.

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© 2014 Ioannis Karipidis et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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