Health Effects Lecture 12: Noise Part 6 (20.05.2020) Mark Brink - - PowerPoint PPT Presentation

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Health Effects Lecture 12: Noise Part 6 (20.05.2020) Mark Brink - - PowerPoint PPT Presentation

[701-0662-00 L] Environmental Impacts, Threshold Levels and Health Effects Lecture 12: Noise Part 6 (20.05.2020) Mark Brink ETH Zrich D-USYS Homepage: http://www.noise.ethz.ch/ei/ D- USYS M. Brink Environmental Impacts - Noise Part


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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 1

[701-0662-00 L] Environmental Impacts, Threshold Levels and Health Effects Lecture 12: Noise Part 6 (20.05.2020)

Mark Brink

ETH Zürich D-USYS

Homepage:

http://www.noise.ethz.ch/ei/

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 2

  • Questions from students from previous lecture
  • Sleep disturbances: study types and methods
  • Polysomnography (PSG)
  • Actimetry / Actigraphy / Seismosomnography
  • Sleep disturbances: Awakening probability
  • Countermeasures / noise abatement in the night
  • Long-term health effects of noise
  • Cardiovascular effects

Topics covered in the previous lecture

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 3

► Long-term health effects (cont'd)

► Metabolic effets ► Effects on cognitive performance ► The question of causality, study types in epidemiology

► Quantifiying the costs of noise ► Noise abatement and regulation of noise

► Prinicples of noise abatement in Switzerland ► Noise exposure limits in the Swiss noise abatement regulation

► Final conclusions

Lecture overview for today

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 4

Long term metabolic effects of noise Type 1 Diabetes Type 2 Diabetes (insulin resistance)

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 5 Baseline (BL) Noise (NN2) Noise (NN3) Noise (NN4) Noise (NN5) Recover y (RC)

Baseline ("no noise") LAeq,1h : 30 dB Road traffic or railway noise simulations LAeq,1h : 45 dB

Polysomnography

8h 8h 8h 8h 8h 8h Oral Glucose Tolerance Test (OGTT)

Oral glucose tolerance after noisy nights (SiRENE study)

Legend:

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 6

Oral glucose tolerance after noisy nights (SiRENE study)

4 5 6 7 8 9

  • 20

30 80 130 Glucose (mmol/L) Time (min)

  • 15 0 10 20 30 60 90 120

20 40 60 80 100

  • 20

30 80 130 Insulin (µIU/ml) Time (min)

  • 15 0 10 20 30 60 90 120

650 700 750 800 850

Area under the curve

2000 4000 6000 8000

Area under the curve

After baseline night After recovery night After last noise-nights

* * * *

* p<0.05; vs. BL * p<0.05; vs. BL

Glucose Insulin

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 7 Eze IC et al. Int J Epidemiol, 2017

Diabetes risk increase per 10 dB (SiRENE/SAPALDIA study)

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 8

Reading performance Aircraft noise exposure, LAeq, 07:00-23:00 h, [dB(A)]

Effects of noise on (cognitive) performance

RANCH study (Stansfeld et al., 2005) -- Aircraft noise

  • Exposure-effect model for reading performance
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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 9

  • Exposure-effect model for reading performance

Adjusted T-value of reading performance Aircraft noise exposure, LAeq, 08:00-14:00 h [dB(A)]

Effects of noise on (cognitive) performance

NORAH study (Klatte et al., 2015) -- Aircraft noise

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 10

Causality?

"Bradford-Hill criteria" (1965)

Strength of association: stronger associations are more likely to have a causal component Consistency: the association must be seen consistently across studies or populations Specificity: the association must produce a specific end- point Temporality: the factor being advocated as causative must precede the outcome Biological gradient: the outcome must be obtained in a dose- responsive manner Plausibility: the causal explanation must be biologically plausible Coherence: a cause-and-effect interpretation of the data should not contradict present knowledge Experimental support: the association is experimentally supported

Bradford-Hill, A. (1965). The Environment and Disease: Association or Causation? Proc R Soc Med, 58, 295-300.

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 11

Study types in epidemiology

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 12

Quantifying the costs of noise

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 13 Source: Ecoplan (2014): Auswirkungen des Verkehrslärms auf die Gesundheit

Quantifcations of the "cost" of noise on an aggregate level (I)

Disability Adjusted Life Years (DALY) lost in Switzerland

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 14

770 99 104 874 25 124 100 200 300 400 500 600 700 800 900 Mietzinsausfälle Gesundheitskosten

  • Mio. CHF

Strasse Schiene Total 320 101 27 550 347 651 100 200 300 400 500 600 700 Personenverkehr Güterverkehr

  • Mio. CHF

Strasse Schiene Total

Quantifcations of the "cost" of noise on an aggregate level (II)

External costs of transportation noise in CHF, Switzerland, 2005 Road Rail Total Road Rail Total Rent deficits Healthcare costs Passenger traffic Goods traffic

Source: Bundesamt für Raumentwicklung, 2008

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 15 Source: Bundesamt für Raumentwicklung, 2008

Quantifcations of the "cost" of noise on an aggregate level (III)

External costs of transportation, Switzerland, 2005, in Million CHF

Total external costs: 8 529 000 000 CHF per year thereof: 1 174 000 000 CHF due to noise

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 16

Quantifcations of the "cost" of noise on an aggregate level (IV)

Hedonic pricing analysis – reduction of rent/propery value per 1 dB

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 17

Noise abatement and regulation of noise

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 18

Rationale for noise abatement

Noise is undesirable sound that can harm human health and interfere with people’s daily activities at school, at work, at home and during leisure time. It can disturb sleep, cause cardiovascular and psychophysiological effects, reduce performance and provoke annoyance responses and changes in social behavior. Noise causes economic losses (health costs, abatement measures, reduced value of real estate property etc.).

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 19

Roles of Science and of Policy in noise abatement

Risk Assessment Risk Management

Action plans

Science Science Polic Policy

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 20

Assessment principle

Exposure- effect

Remediation principle

Existing noise problems

Prevention principle

Future noise problems Noise costs

Polluter pays principle

Role of players

Cooperation principle Source principle

Abatement Measures

The six basic principles of noise abatement in Switzerland

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 21

Push Pull

Incentives

  • Technical feasibility (research)
  • Subventions
  • Economic Incentive instruments

Enforcement

  • Regulations (emission limits,

exposure limits)

  • Penalties, compensations

"Pull" and "Push" measures

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 22

?

Target level

(Limit value)

Source Propagation

Encapsulation Muffling Operational restrictions Walls Barriers Sound proof windows

Effective level

(Rating level)

Measures Rules

Noise abatement as a feedback-controlled system

Receiver

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 23

Rating Level Lr [dB] = Average Level + Correction

Lr = Leq + K

 The Rating Level Lr is not a physical measure, but a measure for the noise effect! (but it is expressed in dB)

Exposure limits in Swiss noise legislation

The rating level Lr

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 24

Noise exposure

Alarm values for assessing the urgency of abatement measures and as a criterion for fitting soundproof windows. Immission limit values must be set so that, in the light of current scientific knowledge and experience, immissions below these levels will not seriously disturb the well-being of the population. Planning values for permitting the construction of new installations and for for ruling out and development of new building areas (land use planning).

Exposure limits in the Swiss noise abatement legislation

Definition of three types of limit values

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 25

Exposure limits in Swiss noise legislation

Limit values on an exposure-effect curve

Noise exposure Planning value PV Alarm value AW Immission limit value ILW Percent highly annoyed 100 80 60 40 20

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 26

10 9 8 7 6 5 4 3 2 1 Extremely Very Moderately Slightly Not at all

Serious annoyance

  • f the population

(highly annoyed)

verbal 5-point scale

Assessment of % highly annoyed (%HA)

... using ICBEN scales

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 27

15-25%

Planning value Immission limit value Alarm value Protection Zones (ES I) Residential Areas (ES II) Mixed Areas (ES III) Industrial Areas (ES IV)

X

X-5 X+5 X+10 x-5 x x+5 x-10 x+10 x+10 x+15 x+5

Sensitivity categories

Acoustic Exposure Lr % highly annoyed

Exposure limits in Swiss noise legislation

Method for setting limit values in Lr [dB]

x

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 28

III Mixed areas Exposure [Lr] Sensitivity category

Planning value

Day Night

50 40 65 60 55 45 60 50 70 65 60 50 65 55 70 65 65 55 70 60 75 70 55 45

IV Industrial areas

Day Night Day Night

Immission limit value Alarm value

II Residential areas I Protection zones

Exposure limits (in the measure "Lr") for road traffic noise Day =06:00-22:00 Night =22:00-06:00

Exposure limits in Swiss noise legislation

Noise abatement ordinance ("Lärmschutzverordnung")

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 29

Exposure limits in Swiss noise legislation

Noise abatement ordinance ("Lärmschutzverordnung")

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 30

Example: Aircraft noise contours... ...at the Planning, Immission limit

and Alarm values (Lr for day period)

1-Stunden-Leq von 55 dB 1 zus. Aufwachreaktion pro Tag 1 zus. Aufwachreaktion pro 2 Tage

N

Source: http://www.fluglaerm-frankfurt.de/349.0.html

Lr=57 dB(A): Planning value Lr=60 dB(A): Immision limit value Lr=65 dB(A): Alarm value

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 31

Number of residents above Immission limit values during day

.. in Switzerland (2009) Road traffic Railways Aircraft Shooting ranges

Number of residents

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 32

A few last words...

Final conclusions for the Part "Noise" (I)

After all, how harmful is noise at the end?

► Science is well able to demonstrate effects, but less so in (clearly) demonstrating damage. ► Any health effect assessment depends on an accepted definition of what constitutes "health" (cp. the definition of health by the WHO) ► Exposure limit values are normative postulates (that means, they are

  • ften the result of a political compromise and hence not directly derived

from scientific findings...) ► Effects: Cardiovascular effects starting at 45 dB(A) LDay (outdoors) Awakening reactions as low as ca. 33 dB(A) Lmax (indoors) No threshold observed with annoyance ► People react differently to noise → On the individual level, noise effects can occur as low as at 0 dB!

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 33

A few last words...

Final conclusions for the Part "Noise" (II)

What kind of statements can noise effects research make?

► Results that consistently show associations between noise exposure and effects across different studies suggest that this relationship is causal (even if this can often not be 'proven' in the strong sense) ► Statements about exposure-effect relationships are possible only on the population or sample level ► Individual predictions are not possible ► Effects = Ratios, Probabilities, Percentages, Calculated risks... ► Precautionary principle is important: Although sometimes the available evidence lacks the demonstration of a clear relationship between exposure and health effects, a scientifically well founded presumption suffices to take appropriate measures

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 34

► Uncertainties concerning the exposure (exposure history) of individuals (exposure misclassification bias) in epidemiological and observational studies ► (Usually) weak relationship between exposure and effects ► No established quality standards for noise effects studies ► Data about noise exposure are usually based on metrics and methods that are defined in regulations (often, other interesting noise metrics are not available, e.g. frequency distribution of the maximum sound pressure level etc.) ► No possibility to carry out (field)-experiments (but only observational studies) ► Research often takes place in a politically defined context with many conflicting interests

A few last words...

Final conclusions for the Part "Noise" (III)

Issues/research gaps in noise effects research

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 35

Some information regarding the "Sessionsprüfung"

Date, time, and place: Use official ETH channels... Supervisor: Christian Monn Duration: 60 Minutes Credit points: 3 Weighting: 50% Air pollution part (Ch. Monn) 50% Noise part (M. Brink) Type of test: Written examination, you are asked to:

  • Answer multiple choice questions
  • List keywords
  • Draw diagrams
  • Label diagrams, flow charts etc.

Allowed helpers: Everything on paper (Books, Your own notes, Handouts of slides...) Recommended: Lecture handouts and your notes Not allowed: Laptops, Tablets, Smartphones etc.

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D-USYS • M. Brink • Environmental Impacts - Noise Part 6 Slide 36

Thank you very much for your attention!