Conversion between noise exposure indicators Leq24h, LDay, LEvening, LNight, Ldn and Lden: Principles and practical guidance

International Journal of Hygiene and Environmental Health

Volumn 221, Issue 1, 2018, Pages 54-63

  Brink, Mark ^a   Schäffer, Beat ^b   Pieren, Reto ^b   Wunderli, Jean Marc ^b  

^a Bundesamt fur Umweltschutz   (Switzerland)

^b SWISS FEDERAL LABORATORIES FOR MATERIALS SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Conversion; Noise exposure; Noise indicator; Noise metric

Indexed keywords

AIRPORT; CIRCADIAN RHYTHM; EXERCISE; HUMAN; INFORMATION PROCESSING; META ANALYSIS; NOISE; RAILWAY; SCIENTIST; SWITZERLAND; UNCERTAINTY; ANALYSIS; ENVIRONMENTAL EXPOSURE; EUROPE; STATISTICS AND NUMERICAL DATA; TRAFFIC NOISE;

ENVIRONMENTAL EXPOSURE; EUROPE; NOISE, TRANSPORTATION;

EID: 85031409165     PISSN: 14384639     EISSN: 1618131X     Source Type: Journal    
DOI: 10.1016/j.ijheh.2017.10.003     Document Type: Article

References (23)

1. Abbott, P.G., Nelson, P.M., Converting the UK Traffic Noise Index LA10, 18 H to EU Noise Indices for Noise Mapping. 2002, Environment Group of TRL Limited.
2. Brink, M., Pieren, R., Foraster, M., Vienneau, D., Eze, I., Schaffner, E., Héritier, H., Cajochen, C., Probst-Hensch, N., Roosli, M., Wunderli, J.M., Do short-term temporal variations of noise exposure explain variance of noise annoyance?. INTER-NOISE 2016, Hamburg, 2016.
3. Bundesamt für Umwelt, SonBase – The GIS Noise Database of Switzerland. Technical Bases [English version], Environmental Studies Nr. 0908 E. 2009, Bundesamt für Umwelt, Bern.
4. Bundesanstalt für Straßenwesen, Automatische Zählstellen auf Autobahnen und Bundesstraßen. 2015 http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916.
5. Department for Transport, Statistical Data Set Average Annual Daily Flow and Temporal Traffic Distributions (TRA03). 2015 https://www.gov.uk/government/statistical-data-sets/tra03-motor-vehicle-flow.
6. Deutsches Zentrum für Luft- und Raumfahrt, Bewertung und Berechnung von Fluglärm. 1999 (FE-Nr. L-2/96-50144/96).
7. Direction des routes Île-de-France (http://www.enroute.ile-de-france.developpement-durable.gouv.fr/les-comptages-a174.html), 2011. Les comptages.
8. Empa, FLULA2, Ein Verfahren zur Berechnung und Darstellung der Fluglärmbelastung. Technische Programm-Dokumentation (FLULA2, a Method for the Calculation and Illustration of Aircraft Noise Exposure. Technical Program Documentation). Version 4. 2010 Dübendorf.
9. Environmental Protection Agency (EPA), Information on Levels of Environmental Noise Requisite to Protect Public Health and Welfare with an Adequate Margin of Safety (EPA Report No. 550/9-74-004)., 1974, Environmental Protection Agency, Washington.
10. EUROCONTROL, STATFOR Interactive Dashboard (SID). Statistics and Forecast Service (STATFOR). 2017, EUROCONTROL, Brussels, Belgium URL: www.eurocontrol.int/statfor.
11. European Commission, Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 Relating to the Assessment and Management of Environmental Noise. 2002.
12. European Commission, Position Paper on Dose Response Relationships Between Transportation Noise and Annoyance. 2002.
13. European Commission, Commission Directive (EU) 2015/996 of 19 May 2015 establishing common noise assessment methods according to Directive 2002/49/EC of the European Parliament and of the Council. Off. J. Eur. Union, 2015 58.
14. European Environmental Agency, Good Practice Guide on Noise Exposure and Potential Health Effects., 2010 [EEA Technical report No 11/2010].
15. ISO/IEC, Uncertainty of Measurement – Part 3: Guide to the Expression of Uncertainty in Measurement (GUM:1995). Guide 98-3. 2008, International Organisation for Standardization (ISO) and International Electrotechnical Commission (IEC), Geneva, Switzerland.
16. Miedema, H., Oudshoorn, C., Annoyance from transportation noise: relationships with exposure metrics DNL and DENL and their confidence intervals. Environ. Health Perspect. 109 (2001), 409–416.
17. Naish, D., Tan, A.C.C., Demirbilek, F.N., A review of road traffic noise indicators and their correlation with the LA10(18 hour). ACOUSTICS 2011, Gold Coast, Australia, 2011.
18. Pietrzko, S., Hofmann, R.F., Prediction of A-weighted aircraft noise based on measured directivity patterns. Appl. Acoust. 23 (1988), 29–44.
19. Röösli, M., Vienneau, D., Foraster, M., Eze, I., Héritier, H., Schaffner, E., Thiesse, L., Rudzik, F., Pieren, R., Habermacher, M., Köpfli, M., Brink, M., Cajochen, C., Wunderli, J.-M., Probst-Hensch, N., Short and long term effects of transportation noise exposure (SiRENE): an interdisciplinary approach [Mini-Symposium]. 12th ICBEN Congress on Noise as a Public Health Problem, Zurich, 2017.
20. Schäffer, B., Bütikofer, R., Plüss, S., Thomann, G., Aircraft noise: accounting for changes in air traffic with time of day. J. Acoust. Soc. Am. 129 (2011), 185–199.
21. Umweltbundesamt, Vergleich nationaler und internationaler Fluglärmbewertungsverfahren Aufstellung von Näherungsbeziehungen zwischen den Bewertungsmaßen. 1984 (Forschungsbericht 81-105 01 307, UBA-FB 82-025).
22. van den Berg, F., Criteria for wind farm noise: Lmax and Lden. EURONOISE 2008, Paris, 2008.
23. Wunderli, J.M., Pieren, R., Habermacher, M., Vienneau, D., Cajochen, C., Probst-Hensch, N., Röösli, M., Brink, M., Intermittency ratio: a metric reflecting short-term temporal variations of transportation noise exposure. J. Expo. Sci. Environ. Epidemiol. 26 (2016), 575–585.