Environmental Noise Directive

First results

Núria Blanes and Jaume Fons

ETC-LUSI / UAB

NRC for Noise Meeting

Copenhagen, 12 November 2008

Coverage

Coverage

EU 27

END25%

121 Millions of people …and 162 agglomerations

Agglomerations: sources of noise (Lden)

0

5

10

15

20

25

30

35

40

Road Rail Airport Industry

Peop

le a

ffec

ted

(Mio

)>7570-7465-6960-6455-59

Noise bands

Noise source

42 Mio people

exposed

42 Mio people

exposed

Agglomerations: impact of roads (Lden)

0

10

20

30

40

50

60

70

250 - 500 500 - 1000 > 1000

Perc

enra

ge o

f pe

ople

aff

ecte

d

>75

70-75

65-70

60-65

55-60

Noise bands

Agglomeration class (1000 inh.)

People affected by major roads (Lden)

0 100 200 300 400 500 600 700 800 900 1000

UK

CZ

SK

SE

HU

SI

P L

ES

DE

IE

FI

NO

LT

NL

RO

DK

IT

LU

EE

People affected / km major road

12 Mio people exposed outside agglomerations

12 Mio people exposed outside agglomerations

People affected by major rails (Lden)

0 100 200 300 400 500 600

SE

NL

FI

DE

SI

ES

PL

DK

CZ

UK

LU

HU

People affected / km of rail

2 Mio people exposed outside agglomerations

2 Mio people exposed outside agglomerations

Major airports

1

10

100

1 000

10 000

100 000

1 000 000

0 100 000 200 000 300 000 400 000 500 000 600 000

Movements / year

Nr

peop

le e

xp

ose

d

Copenhagen

770 000 people exposed outside agglomerations

770 000 people exposed outside agglomerations

Next steps

• Data base finalised (completed + “clean”)• Data integration

– Noise contour maps + NRL – Tabular data + NRL

• Further explore the results– Use of additional sources (e.g. Urban Audit)– Spatial assessment

• Provide a user-friendly platform to present the results (web interactive tool)

Remarks on Reportnet

• Noise: – complex requirements, – a lot of information– need to ensure/facilitat data collection to reduce

mistakes

• Data not properly reported may be “useless”

• What Reportnet offers:– Streamlining the process– One single place (Data dictionary, templates, QA)– Easy to keep track

QA on demand

• QA to avoid/recognise “common” mistakes– Data format– Hundreds– Empty cells

Empty cells

• Interesting to kow different situations: better assessment.

• Use of 2 codes to indicate that data is not reported:– Below END thresholds– No major sources of noise (“0” has several

meanings)– Data not mandatory / not YET available /not

available