SLIDE 1
- !
Lessons learnt - - PowerPoint PPT Presentation
Lessons learnt - - PowerPoint PPT Presentation
Experiences with the 1st + 2nd round of Noise Mapping and Noise Action Planning: Lessons learnt ! "
SLIDE 2
SLIDE 3
- &'4 # $
" 5, %,'(
- " 5,!*2 (
4 6,7 4 %*!,!7 4 #**!/*7 4 '&82
SLIDE 4
- &'(**
# %,9*,* 8 %!%:'&3;5< *! %, =* " & % !,*% ! %!* %=!*%-**&8
SLIDE 5
- >?!99@
SLIDE 6
- " #
4 %2,!A/
- ,!9*
" 6B*
4 #3*!*AC, 2
" 6B-2
4 -2AC/2
" 6B
4 AD/2
0%,@
SLIDE 7
- !&8
" '& =!(
E !*(
SLIDE 8
- &=! *
'&
SLIDE 9
- !&8
" ;5 =!(
E !*(
SLIDE 10
- *0'!F2(
G;,20'!*G
SLIDE 11
- &F!* %'
+; '2#*B!*%H:'#H<
SLIDE 12
- &I!(%
" I! %,,2%2 :I H<
,,2%2,!*JK&! !!*,,,:! ,<
" !*:!*!/!
- ,!<(
6 '#H JF&!
SLIDE 13
- )*%(=
" 6,* *!*%%=!!(
4 ,**, *2*%%, !27
4
&8*,-**!2/% ,***(
Germany
0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00% 18.00% 20.00% "55-59 "60-64 "65-69 "70-74 ">75
UK
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% "55-59 "60-64 "65-69 "70-74 ">75
,*IF&F *%!!/=*
*
52*/+ H)/*%% *%!%- *
SLIDE 14
- *
" C'&
4 '56 !%* 4 '&6 !*,, 4 F) 4 &)$! 4 5,2 4 F*38* 4 F
" *!2!
4 4 2 4
" #%0!
4 ,) 4 #%2 4 -%,)
" *!
4 -2 4 5%%%- 4 5%%* 4 L;I 4 *!%2
" !
4 4 5%%%- 4 5* 4 52 4 ,*!,
" #2
4 !! 4 !*! 4 F!*!
SLIDE 15
- *! ,*
" ',**,&! :#= I</,&'-,* */%2/,!* ! "
- :IF&F<
;- ,*!2%IF&F &',*1
SLIDE 16
- &'$IF&F( !*2
'%%%%,!/,!* ***%%*%,=* !
0.00% 1.00% 2.00% 3.00% 4.00% 5.00% 6.00% 7.00% 8.00% 9.00% 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 levels dB(A) % population Lden END Lden VBEB
&#/F"# $ %&'% (/# #!!*-, #!/I!MK/
SLIDE 17
- %*%%
" 0%*-),*=!!/ ,%N2*!7 " -,*/N **-,%-!7 " ,*,!/-* &!,*2 00 0 " !,-,*%%,**2
- " IF&F,&',*-,,
%!2=!
SLIDE 18
- O!# *%
'% % .! !.! -, , &'/-)*%*!,*(
" O # , >, / **2,!,2/%-,, =* ! % * % , * , ! 2 , 60/%2!?7 " ) # , >, / **2,!,2/,!*!*2 %%%/*!2?
SLIDE 19
- O!#
*% *
" *%%.!!3!2*(
4 #!:,,*!< 4 6=* :!/*2/=< 4 2*/2/!/ %,P
" )
SLIDE 20
SLIDE 21
- 0-,-*1
+#&**$ & %'5,,&=% %&##* (
- ,(*/
!!*.!2** !*2%!*!%!
- (,,*%J*F,
*D*F* ,!*!%! * !,!
SLIDE 22
- O!(***%**/
.!%Q*,!**%* % &=!!(**%! ,!**%*
- %,!(,+#&%
K!*%%!* , #(=%***,!* **/!*!* .!2/*%
- ),',!**
SLIDE 23
- ,*
&8B( 00 0 00, *0
>%!?%-)% ,* -,-*B( " !(%=! " * !(*%=! 6,*,*-,**!!(
4 *,%! 4 0!,%%2 4 0!,%%2:>-,%? <
SLIDE 24
- 00 0 %
" &8/%/* " %*( -*% >*?E?=? " -**%= *% " 2= * " *!* " -**/!2**
SLIDE 25
- O!(-!*,
" !/0*! 5,!%,, /2%%, %2 " *,!**,*2 %%29R!% " 5,**!-,!!2*>, !* ,?(
SLIDE 26
- 5,=!*,
*%
" 5,!*) %2 ***!-, *,== *!!%* !**!*%**,/-,!*!, ,%!%,-,,,2*
A software processes in real time the soundtracks chosen among a meta-compositive database to make them effective for the purpose of noise masking. Thus, the post-operam SPL will be higher than the ante-operam value, but the reduction in the perceived annoyance greatly compensate for the SPL increase.
SLIDE 27
- +#&
'$ (
*++, " 5,***,/!*** ***% %,!* %,!(
4 % ,!%,!%*, =,-,%,7 4 ,!,%*
SLIDE 28
- 5,%6#
" %!=*,**
- 4 -*%*
4 *!2!
" #!
4 0!*3* 4 !2!=* 4 9*!2.! #%!*!2
$
SLIDE 29
- 66!
" !,(
4 F%%**!!B
" *!,,(
4 F%%=**!%
- " *!,!(
4 F%%,-,! 4 )!,,%-*
0 !%,
SLIDE 30
- 6
SLIDE 31
- %%
" !)*(
SLIDE 32
- %*! !
*!% 23* 2(
4 -*!%2 4 - 2 %
" " "
! *!(
%,2*!2 ,/ %,*!2 ,/ C%
SLIDE 33
- ,2 3
" 5,*!%-MK*MMS! *2K *F:#<
SLIDE 34
- ,2 3
" !,- ,% %% %*%%*
- ./#0
+./#0
- 1
5,!% ,2*!2,:* %% J4 D*F%**D4 *F%
SLIDE 35
- %% 3
" 5,*!% -,,2 *!** * *!%,%% !(
4 5,*!!* ,,2, !%!%!%!* ,2 * *,!* 2,, , *%% 4 # *! *%%, ,=/ 2%
SLIDE 36
- %% 3
DL% 2!** ,
- *!%!%
*2*2, %% -
- *
:<KDS% #**2
- 3./#01
SLIDE 37
- *
" %% ,&860, ! " %,2%! % B*:-2* < " 5,*%, %/ -,,*%*2,&8 " 5,% % !
SLIDE 38
- 5,,,
" 5,!* !,2 -,!%!*2 *!(
4 *,-,7 4 5!)!7 4 ,*7 4 7 4 &%%*7 4 *!3%%!7 4 *!%7 4 97 4 !!
SLIDE 39
- !
" #- %&'(, %,%-!*-!, *7 " #%-)2**9,** ,-%,%&'7 " /-,,/-,
- !*!,7
" #,,*!**-, (!*@
SLIDE 40
- !,%
" !,*%,!(
- &**F2