• No results found

OR-03-83.pdf (1.491Mb)

N/A
N/A
Protected

Academic year: 2022

Share "OR-03-83.pdf (1.491Mb)"

Copied!
21
0
0

Laster.... (Se fulltekst nå)

Fulltekst

(1)

NILU

OPPDRAGSRAPPORT NR: 3/83 REfERENCE: 23179

DATE: JANUARY 1983

EMISSION OF POLLUTION THROUGH SHAFTS FROM FLØYFJELLSTUNNELEN, BERGEN

BY

KNUT ERIK GRØNSKE!

NORWEGIAN INSTITUTE FOR AIR RESEARCH P.O.BOX 130, N-2001 LILLESTRØM

NORWAY

(2)
(3)

- 2 -

LIST OF CONTENT

Page 1

2 3

INTRODUCTION ..•...•...•...•.••...••.••.•

METHODS OF EVALUATION •...•...•...

EAST TUBE EMISSION ...•...••

3.1 Alternative 1 3.2 Alternative 2

V WEST TUBE EMISSION ...•...

3 3 V V V

V 4.1 Dispersion calculations ...•... 7

4.2 Selection of emission condition 10

5 NEGATIVE BUOYANCY EFFECT ON DISPERSION NEAR HILLSIDES. 10·

6 CONCLUTIONS • . . . • . . . • . . . 11 7 REFERENCES . . . • . . . • • . 12 APPENDIX I: mefeorological measurements 13

(4)

EMISSION OF POLLUTION THROUGH SHAFTS FROM FLØ)'.'FJELLSTUNNELEN, BERGEN

1 INTRODUCTION

Hordaland road authorities have asked for an evaluation of the shaft emissions from FlØyfjellstunnelen in Bergen including a recommendation for emission conditions at different sites. The amount of ventilation air and the pollution concentrations to be considered have been specified in ref. 1.

2 METHODS OF EVALUATION

The report refer to wind measurements carried out near different sites in Bergen. Further reference is made to results of one tracer experiment recording the dispersion of SF

6 tracer gas around an existing shaft from "Løvstakktunnelen" in Bergen (2).

Different methods for dispersion calculations have been considered including

a) dispersion from a ground-level source

b) dispersion effect caused by the wake behind the shaft house

c) dispersion from an elevated source.

The results indicate the importance of high emission velocity in order to get an elevated plume.

In the following evaluation formulaes presented in (3) were found most applicable. These formulaes discribe our tracer experiment reasonably well. The methods separate between the stack aerodynamic effect and the momentum phase of dispersion being important for the problem to be considered.

(5)

2 V 2

3 EAST TUBE EMISSION

Two alternative emission sites are shown in Figure 3.1, marked alt. 1 and alt. 2. The site for the wind station is marked in the figure. The wind statistics of one year of hourly measurements are given in Appendix 1. The terrain profile of each site is given in Figure 3.2a and b.

3.1 Alternative 1

Due to distance and height of release above the building areas, the influence of pollution in this area will be negligible. This location is preferable to alternative 2.

3.2 Alternative 2

The horizontal distance from the shaft to the living areas is about 75 m and the height difference 30 m. A critical wind sector is marked on the figure. The windfrequencies for each season given in Appendix 1 show that at Sandviken the wind is blowing in the critical sector about 7-10% of the time during daytime (07-19) when emission occur. In summer a very small frequency of wind observa- tion was recorded in the critical sector. On the other hand calm conditions are recorded 10-20% of the time when emission occur.

When the wind is blowing in the critical sector, the wind speed is smaller than 2 m/s and the air mixing is poor.

4 WEST TUBE EMISSION

The emission site is shown in Figure 4.1, further the site of the wind station, and the critical wind sector for the shaft emission are marked on the map. The terrain profile is shown in Figure 4.2.

(6)

.· svine

yggen __ ,,

2~ /m •.

M=1;5000

åseskjæret

0

v_.

Ekv.5m

Figure 3.1: Alternative sites for the east tube emission.

(7)

- 6 -

a) Alt.1

=_Fa

M•1 :1000. =( F

=hF

=VF

=RF

=zF

==F

=FF eF

Building area so.

Sandviken

F hF =FF =hFa

.b) Alt.2 Ms1 :1000

.Jfr l/lllllll'll1

Building area Fjellveien

=VF

=RF

=zF

==F

=FF eF 80 _F ( F

so

Figure 3.2: Terrain profiles with alternative shaft location for

a Lbernatn: ve 1.

(8)

Figure 4. 2 show that the height differe.nce between the ventilation shaft and Skansemyren building areas is close to 100 m and the

e Z feet of the em Lss Lon wi.11 here be negligible.

The height difference between the ventilation shaft and Fløyen is about 30 m. The wind rose from Skansemyren show that (see Appen- dix 1) the wind is blowing in the critical sector more than 20%

of the time in the afternoon. The distance between the emission shaft and Fløyen is about 75 m.

4.1 Dispersion calculations

Following the procedure of Briggs (3) the mean dilution factor over a 30 deg sector may be written

1. e D

·

u x(h+R)

z

(4.1)

x: distance from source

C: concentration at distance X

CT: concentration in the ventilation air F flux of ventilation air (m3/s)

u windspeed m/s

h effective emission height, m

' vertical scale of the plume, m z

' =ax a= 0.25 strong atmospheric turbulence z

= 0.1 weak atmospheric turbulence

As a result of vertical momentum the effective height of emission will be

s

h ·

Y + z0bbb3Gb 2 1.51D

s u (4.21

h: the height of the ventilation shaft (ml

s

V: emission velocity (m/s)

s

D: The diameter of the ventilation shaft (m)

(9)

8 -

M=1; 5000

Ek v.firn

f

~ ◊2999/2 · 9

<F'-,.. ···- ,

Figure 4.1: Location of the shaft for the west tube emission.

(10)

Building area Skansemyren

0

FLØYEN

JIOm

300 290 280 270 260 250 240 230 220 210 200

50 100m

Figure 4.2: Terrain profile for shaft locatio~ near Fløyen.

(11)

- 10 -

4.2 Selection of emission conditions

Dispersion is improved and may be estimated by formular 4.1 when the ventilation air is lifted above the ground. For the ventilation air to avoid the wake behind the stack- ~ s > l.

9 u

5

To take into account medium wind velocities V > 10 m/s

s

When F

·

350 m /s we get 3 D < 6.7 m

Further the dilution factor should be less than 0.1 to obtain satisfactory CO-concentrations. (The maximum CO-concentration in the tunnel will be 250 ppm).

When V = 10 m/s, u

=

2 m/s and x

=

75 m.

s

= =9e • RhF mR/s ·

10 3

z • _ h • 0 =F + (

2 -

= • h m • ( • _ + _ h • F • z h m m / s

·

0.085

Comparing the two additive terms in the denominator in equation 4.1 it is seen that the effective emission height is important for the dilution factor.

5 NEGATIVE BUOYANCY EFFECT QN D'ISPER;Sl0N'

NEAR

° %l l : c$; C'

In the afternoon during summer- the -vent,ila,t;i0n a,ir may be colder than the surrounding air. Measurements in the L¢-vstakk tunnel showed that in July the temperature difference may be

( ° ◊

or more about

RF) of the days. (see Appendix

==9

The difference in density will influ- ence dispersion when the windspeed u is small. Empirical data support the following expression given in reference 3 for this to occur

(12)

u < 0.22 • B • /g6D g

·

10 m/s2

6

·

~T the relative difference in density between the ventilation air and the atmosphere.

T

·

Temperature in (0c) D

·

Stack Diameter

t

·

Empirical factor.

For the emission sites in Bergen t

·

5 during day time.

The dispersion is expected to be smaller than previously calculated when the windspeed u is smaller than

u < 0.22•5• ✓10•6 •6.7 m/s ~ 1 m/s.

273

However, when the exit velocity exceeds 10 m/s this is not expected to be a problem. The difference in density will be reduced during the momentum phase of dispersion.

6 CONCLUSIONS

The emission through the shaft from.east tube may effect Fløyen area at 75 m distance in a few afternoon hours about 20% of the days in the summer. If the emission velocity is higher than 10 m/s (stack diameter 6.7 m) and the emission height is 5-10 m, the concentrations are expected to be acceptable (not exceeding standards for outdoor air quality). Due to the height difference and the wind distribution the impact on the building areas near Skansemyren is expected to be negligible.

Two alternat~ves have been given for the location of the shaft from the east tube.

Alternative 1: From an air pollution point of view this location is recommended. Due to the height difference there will be neglig- ible pollution in the building areas. If the emission conditions previously recommended are used, the polluted air will mainly remain

(13)

- 12 -

elevated in weak wind situations and the concentration in the close neighbourhood wi.11 also be small.

Alternative 2:

During calm wind conditions polluted ventilation air may drift to- wards the building areas. These conditions are expected to occur during the morning hours a few percent of the days.

The air turbulence (mixing) will be low in these situations.

However, when the emission velocity is above 10 m/s, ground level concentrations is expected to be low in the weak wind situations.

7 REFERENCES

(1) P.R. Tharaldsen: Letter from Hordaland Vegkontor dated 2.12.82. Bergen 1982.

(2) Y. Gotaas: Spredning av sporstoff fra vegtunneler i Bergen.

Lillestrøm 1981. (NILU OR 37/81.)

(3) G.A. Briggs: Diffusion estimation for small emissions.

Oak Ridge, Tennessee 1973 (ATOL Contribution file no. 79).

(14)

APPENDIX I

Meteoroleg: ;teal _mea,~m:t;e.rnent::s

Wind data from Skansemyren, Table

Al-A3.

Wind data from Sandviken, Table

A4-A8.

The tables show frequences of wind observati0ns in different wind sectors in percent. The frequency distributions are given for each 3 hour.

For each wind sector the frequency of observations in different wind speed classes is given.

Figure Al shows monthly frequencies of observed temperature differencies between ventilation air from the Løvstakk tunnel and the ambient air at Gyllenpris.

(15)

- 14 -

Table A1: Skansemyren

VJNnRO~F FRA SKANSF.:HYRF.:N

291 1-8t

-

:7.81 2-~1 FRA TAPF.: 1

\lTNnROSF. Kl..

:',FKTnR

'

4 I 3. ~ 10 13 Aq 19 22 ; G9NO

7r,- 40 0. 0 3 ~ 0. 0 F9 F 0. 0 6. '5 0. 0 1. 5 :-i()- _F F9 F :~. '2 3. 2 0. 0 0. 0 0. 0 3. 2 3. 2 1. 3

P,()- • (1() I:,_ 5 e9 _ =z9 e 3. 2 3.2 b. '5 =( 9 1 ( 9 h 6.3

A = 0m2 = '.'l() •9e 9 F ., 9. 4 % e9 = •9e9 F 3. 2 e9 _ =z 99 e 32. 3 20: o

I .1,,-1 f,(, ?? .. I:, 12. 6 7')_.':, 2:-1. 8 zz9 ( 22. 6 32.3 29. 0 27. 0 170-190 F9 F I, 5 ~- 2 3. 2 =e9 V =( 9 A ~ 2 h 0. 0 o.3

?00-7;,n ( 9 h 3. 2 F9 F 3. 2 ( 9 h =( 9 = F9 F 7R9z 3. 6 . ?::':0-";°'.~0 _ 8. 2 3. "2 0. 0 0. q 9 .. =e9 4 R9 z 0. C, 3. 2 4. 4 _t 3q2c3K/cq 3. 2 3. 2 ( 9 h 3. 2 12. 9 16. = 3. 2 ( 9 /c 5. 6 _3c33=2/9 Q 0 3. 2 i 5 ( 9 :=; R9 z ( 9 ~ R9 z 6.5 3. 2 q9 '5;

:-,?0-;1'1() q/s 9. 7 =_9 e :?S. 8 6. 5 ( 9 5 9. 7 ( 9 ~ 9. 8

3~0- \0 0. 0 0 a ~ 2 •9 9 0.-0 F9 Q 0. 0 0. 0 0. 0 9_

STTI 1..F J e9 V 9. 7 b. 5 3. 2 0. 0 C,. 0 3. 2 6. 5 6. 3

/'\NT. OfiS. /-Kt 9R= 31 31 31 31 31 ,31 744

nrru., VJ ND 3. 5 3. 3 3. 4 R9 V 3. 8 3. 9 R9 h Rc h 3. 7t VJ NnANf\1. VSF.

ZA' 03Z9=== T nnF! 30 60 90 120 150 180 210 240 270 300 33C, 360TOTAL

sr n.i.e ( 9 R

. 1:,- •99 0 HIS 1. t .9 4. 4 9. 9 R9 :s 1. 2 1. 6 1. 9 2. 7 1. ( 4.6 .5 34.0 2. 1- 4 Q HIS .4 .3 =9 1 9. 7 ( 9 b 22 1. 3 . 3 1. 1 9G 2. 7 9 = 26. 5

4 I- f... 0 MIS F 0 1

2~

.9 _9 F 1. = 9 R 9s . 8 =9 z .9 0. 0 =R9 V

OVF.R I, 0 NIS 0. 0 0. 0 9R 0. 0 9. 9 =9 e .4 1. _ 1. 1 28 1. 6 0. 0 19. 8 TOTAi.. t 9 5 1. 3 ( 9 R 1(1. 0 27. 0 6. 3 R9 o 4. 4 5. 6 6. 7h 9.8 . 7100. 0

UPP/ 99 vrNn HIS 1. 4 1. 9 2.0 z 9 z 5. 3 4. 4 27 4. 6 3. 4 5. 5 3.4 =9 h 3. 5

At~T N' 4·s 9 · = t =F 47 153 201 47 z_ 33 42 48 _R 5 744

HTnt FRF VT NnSTYR:F. FClR HFI..F. DATASETTET ER 3. 5 t= ft 3 BASERT p,i_ 744 013SERVAs.JONER

(16)

Table A2: Ska:nsemyren

vrNOKCSF FRA Sl(ANSF.MYREN

-1/ 3-31

-

3t/ !'5-81 FRA 1'APF. l

VJNDROSE KL

SF.KTQR t 4 7 10 13 1.; 19 22 ' DOON

20- 40

~-

3 2,. 2 l. 1 o. 0 0. 0 ·o. 0 2. 2 10: 1 3. 1 ·

:-::o- 7Q 2. ?. 1. 1 ..,,.. ?. 0. 0 0. 0 0. 0 2. 2 2.2 1. 6

er,-1 oo 2. 2 4. 5 4. 5 0. 0 0. 0 3. 3 l. 1 43. 4 2. 4

t10-t'.;:(, t 3. 2 tC:·. 9 11. 2 l=-. 7 l. 1 3. 3 :.o. ? !.S. 0 lC. 4 140-;~-o 18. 7 74. 7 ..,,...

1 :2 •. l 17. 4 17. e lo. 3 22. s 20. 1

...~.

t70-1<",(> 8. 8 14. C, 12. 4 lb. 7 20. 7 16. 7 13. 0 6. 7 13. 0

700:-:!:'C> 3. 3 0. (, 0. 0 l 1. l 7. 6 .4. 4 3. 3 l. 1 4.-7

·2'."':0-~~-0 t. 1 0. 0 0. 0 1. 1 3. 3 3. 3 l. 1 0. 0 1. 3

21;.1)-;,:;:r) 1. l 2. 2 3. 4 7. 8 7. 6 3.3 0. 0 0. 0 2. 4

?.S•(1-::: !0 t. l 1. 1 1. 1 7. :3 9.8

.... ...

0 3. 3 0. 0 ,r ..,_ 1

~;!(')-3~(') 7. 7 7. 9 6. 7 •o ... 9 2S. 0 30. 1) ~2. 6

...

..... 6 16.. 4

:'=;~()- 10 t~. 4 .

-~.

0 7. 9 4. 4 6. ,..

C. 0 8. 7 18. 0 3. 6 s r n.i.s 22. •) 15. 7 11. 3 4. 4 1. ·-·1 -, ,.. 2 S. 4 12. 4 10. 9

ANT. n~s. 91 :;:9 89 90 92 90 92 89 21-~9

MI(IL. ViNO 2. 2 2. 4 2. 6 3.2 3; 9 4. 0 3. 3 2. e 3.0

'./ r Nn,-.~JAl YSE

· [111:::r-1~1 !flDFI 30 60 90 120 150 180 210 240 270 300 330 3(:,0TOTAL

STtLLE 10. 9

. 6- 7. 0 MIS 2. 5 1. 2 1. 7 4. 8 4. 6 2. 3 1. 4 .8 1. 9 2. 4 6 .. 1 3. b 33.3 2. 1- 4. 0 1118 .b

.

..,.., . ..,

...

3. b 7. 1 3. 0 2. 1 . 5 .2 2. 0 6.4 2. 9 29. 0 4. 1- 6. 0 M/S . 0 1 1 !. ~ ~ 3. 3 3. g .9 .0 .2 .3 2.2 1. 2 13. S .

OVF.R 6. 0 1:113 0. 0 .0 1 . S 5 . 1 4. 0 .3 0. 0 .0 .4 l. 7 .3 13. 2 TOTAL. 3. 1 l. b 2. 4 10. 4 20. 1 13. 0 4. 7 1. 3 2. 4

... ~·-

l 16.4 6. 6100. 0

1":JC'lL. VINO MIS t. 4 1. 6 2. 1 2. 8 4. 3 4. 8 3. 1 .1. 9 1. S 2. 6 3. 1 2. 9 3. 0 A~T. C1r-:s. 67 35 52 275 435 283 102 29 .,...,~•.., 110 3~5 1S6 21c9

M!(ll.F.RF. v:Nr.:::nRl(f FOR HF.l.E flATM,ETTET ER 3. 0 HIS, !?-AS:::1-:T F'.l. 22(>,~ 08SE:RVASJONER

Table A3: Skansemyren

VtNrR8~~ FR~ SKnNS~MYRFN

1/ 6-81 - 311 8-8, FRA TAPF. l V;: :~TJRflSE •~L.

:.:=r<1r,r,· 4 7 10 13 16 19 22 O0GN

-✓,D·- 10 8. ~ h.

-

•;> 4. 1 0. o ____ o._Q_ 0. 0 _2_ e_ 15. 3 ..:4 ..9 --- 5()- 70 7.. 7 1. 4 0. 0 0. 0 0. (1 0. 0 0. 0 . l. 4 6 ::;:::1-t(I0 t. 4 t. 4 1. 4 0. 0 0. 0 o: 0 1. 4 0. 0 .7 ) ; ,:,-::::o .,. 5

9. 6 0. 0 0. 0- 0. (l 0. 0 0. 0 s. 3 3. b ,,.

t •·tt)-t~O 21. 9 27. 4 ?.8. 3 13. 9 .,.

6

-~-

9 4. 2 23. ,; 15. 5

..J.

l 7(>-; ·j,,) 71. 9 ...,...,_ 1 7.6. 0 27. 2 H,. 7 !..94 4 2-• l:, 20. 8 :?O. s -:::c1:)-;:·;:o I.. t .,...,. 5 ..J. .,. 5 t -~·..,. 'j) 19. 4 16. 7 1~ '-'• l 2. :3 ! l. 4

J~;.:;-.2,~.(,. 0. f'\ c. I) 1. 4 I.·,. 9 4. 2 4. 2 1. 4 0. 0 ·2. 1

':°'.,S.<)-?:~C,

-. ...

7 t. 4 2. 7 5. 6 15. 3 4. 2 4. 0. 0 3. 8

:i9(•-~lv 0. C 2. 7 .;._ l 8. :::: 16. 7 15. 3 4. 2 1. 4 7. 0

:-::·/.0-:':;,';() tt. () \2 "" lt. () ·✓.s. 0 18. l ::o.·6 3S. 9 16. 7 ::o. 2 :,~.(,- Ii) l l. 0 8. 2 5 s 7. 8 2. 8 l. 4 1. 4 6. 9 4. 6

srt: I-~ 9. ~ 8. 2 9. c-, l. 4 1. 4 1. 4 0. 0 2. 8 4. 4

1~NT. c,r.,~,. 72- 73 78 77. 72 72 72 72 t733

M"il)i.. V!N0 2. 6 ?_ 4 2. 4 "2. 3 3. 3 3. 7 ~. ·1 2. 7 2.·9 V\ i ~T)flN!°ll .. Y$F.

n111~NM ! O!')i='.!. 80 1-,0 ';•0 120 150 180 210 240 270 300 330 3t-OTOTAL

STJI l f 4. 4

. I-.- ::::?. 0 NIS 3. 5 6 .7 :.:. 9 5.6 ;f 5 2. 2 l. 0 2. 8 2. 4 9. 3 ..,

....

2 35. b

,.

l- ·). 0 MIS ,. 4 0. o 0. 0 7 6. 9 6. 5 4. 1 .l. 2 l. 0 4. C"..., e. 4 2.

. .

36. e

4. t- I-,. 0 1,1s l 0. \J 0. 0 ◊. 0 2. 4 6. 4 3. 7 0. 0. 0. 0 .2 2. 0 .3 !~. 0

(p.;,:r, R. ~- 0 MIS 0,.0 0. 0 0. 0 C. () . 6 5 -:, 1. 3 0. 0 0. 0 0. 0 1. 2 0. 0 S. 3

TOT,"IL. 1. 9 .6 .7 3. 6 15. 5 20. 5 11. 4 2. 1 3. e 7. () 2<;._ 8 4. 6100. 0 MtnL. VTW) r11s

..

. 1. h 7 9 ! . 3 2. 8 4. 5 3. 8 1. s, 1. 6 2. 4 2. 6 2. 3 :'!. 9 A~T. ()BS. 8 ... _., 11 · 12 62 270 ~Z7 !99 37 66 122 362 eo 1738

!•;rnu=.Ri=.: VTNQ:::;7YRKF: F•")R HF.I..F. DATASETTET ER 2. 9 MIS, BA";;ERT P.l 1738 0BSCRVASJ0~JER

(17)

- 16 -

Table A4: Sandviken

v r ~1[,F,•,")·=:F FRA SANC1VIl-:EN

tO/ 7-80

-

~1/ s-::10 FRA TAPE 1

VINDROSE KL

~F.:l·.TIJR 20- 40 0. 01 0. 0 4 0. 70 2.106 4.

1=

9 7.:: 16 '5. 19 4 i, 22 OOGJ"2. 1 . 5<t- 7t) 15 0 2. 5 0 0 0, C 0. 0 C. 0 0, C 0, 0 2. 1 ! ::·,:·--·100 _.,

0 35. 0 7. 7 7. 7 2. 4 4. 9 0. 0 25, l,

..:-...,. 13. 1

!11)-1 '.:'0 (I 0 .., c-

2. 6 2. .; 0. 0 2. 4 5. 4 10, 3 ::i. 3

..,

141)-l ':-•) 1,:, 0 17. 5 18. 2 43. 6 86. l, ';'_ 8 10. C 7. 7 20, 4 t7•'-J">t) .,

<• .., .,

5. 1 2. 6 14 :;, 17. : 0. 0 5 1 7. 3

-··

..,

:::0,:,-:::-.2 ,:, 2. s 0. 0 0. 0 2. b 1~. I:., ? 8 8. 1 2. l, '5. 1

.:::::c•--:..:~c• .., 5 .., 5

0. 0 0. 0 0 (j 0. 0 0. 0 0. 0 4

-

=~-,:'i-2~:() 0. 0 0. 0 0. 0 0. 0 0. 0 ·O. 0 0. 0 0. 0 0. 0

·;~-~'')- ;: !0 0 0 0. 0 0. 0 0. 0 4. ? 2. 4 2. 7 0. 0 1. 0 :'.;:;·•.(•-341) 7 5 7. 5 10. 3 15. 4 lZ . ., 2l... ~ '2.7. 0

7. 7 14. 4

-

::::-(,- 1(I t 0. 0 7. 5 10. 3 12. s 7. 3 12. 2 t '")•

--

5 7. 7 10. 5 STILLF, 1 -. 5

..,., ...

35.

'? 10. 3 .., 4 7 . :: 27. 0 ?C (,, 1?. 7

'"-·

-· ...

_..,,

lNT. (1E:S 40 40 39 39 41 41 '37 3? ?~~

MICiL l,,'TNO 1. 1 1 1 1. 3 1. 3 t. 4 1. 4 1. 2 1. 0 1. 2

•,; !N(l,~NAL YSE

il•:tGN1'1I(l[IEL 30 60 ~o 120 150 180 210 240 270 300 330 360TOTAL

STILLE 19. 7

. b- 2. 0 M/S 2. 1 2. 7 13. 0 3. 2 16. 7 5. 3 4. 0 4 0. 0 .4 e. 4 I.::,, I:, (,2 9

?. t-

..

(,,) t1/S 0. 0 0. 0 1 1 3. 7 1. 6 1. 2 0. 0 0. 0 ., b.

0 3. 3 lb. b . ..,

4 1- f:.. () ~1/S 0. 0 0. 0 0. 0 0 0 0. 0 . 3 0. 0 0. 0 0, 0 0. 0 o. 0 .4 ,-7 01/ER ,-:.. 0 11/$ 0. 0 0. 0 0. 0 0. 0 0. 0 0. 0 0. 0 0. 0 0. (J 0, 0 o. 0 1 1

Tl)TAL 2. 1 2. 7 1 ..,, 1 3. 3 20. 4 7. :: .,

1 .4 o·. o l. 0 14. 4 10. 5100. O·

~·- -'·

.MiC1L. vruo MIS .8 ·. 3 .8 1. 0 1. 4 1. 7 1. 4 1. 1 0. 0 2. 2 1. 9 1. 3 1. 2 ANT. OBS .. 20 2S f-.-.

..

.:, 31 1 S'l 63 48 4 0 9 1::s 9C S'::,)J..

M!C1t_".c:-c,,•: V I ~!C,:3TYRl(E FOR HELE OATASETTCT ER 1. 2 M/$, E~!::CRT P.t. 98? 0[3::-EF;VA·?:,.IONER

Table A5: Sandviken

',i i NDF:(1·::E FRA SANDVIKEN

1/ ·?-:::()

-

80/11-80 FRA TAPE 1

ViNDROSE KL

:3C:KTOR 1 4 7 10 1~ 16 19 22 O~)GN

~(>- 4(1 9. 4 7. 1 S. 2 3. s 3. 6 11. 9 12. 11. 9 8. 0

5C·- 70 12. 9 lo. s 15. 3

s.

9 2. 4 6. 0 3. 4 10. 7 9. ~

:=>.(.)-t(.)0 9. 4 9. 4

~:;

9. 4 ....

....

4 4. e 1""

-- 3\

19. 0 10. 4

110-130 4. 7 1. 2 3. s 2. 4 4. 8 7. 3. (;, 3. a

1 4(1-1.~.o 11. 3 15. 3 15. 2, lb. s 21. 4 20. 2 16. 9 19. 0 17. 8

1 70-1 '7'1) 21. 2 20. 0 15. 3

.,... _,._

4 Z3. s .-"-· .,

.

4 20. 5 1?. 0 20. 0

·;'.00-2·20 9. 4 3. 5 4. 7 2. 4 t.. 0 -4. s 4. 8 4. s s. 2

~81)-250 0. 0 1. 2 0. 0 1. 2 1. 2 0. 0 0. 0 0. 0 .3

·;!t,0-2'::('I 0. 0 0. 0 0. 0 0. 0 1. 2 0. 0 0. 0 0. 0 1 290··310 0. 0 0. 0 0. 0 1. 2 . 2. 4 1. 2 0. 0 0. 0 0 82()-:;!4() 1. 2 1.

-. -

0. 0 3. 5 o. 0 2. 4. 0. I 0. 0 1. 8 9}

::..:~/)- 10 4. 7 7. 1 8. 2 10. 6 9. 10. 7 6. C, 4. i:: 7.

:,':TILLE 15. 3 17. b 1•!•

8 20. 0 17. y 11. 9 10. 8 7. 1 14. ~ r..r-n. oi::·::. 85 85 -:,..- 'J•J 85 z.-; 84 83 84 2026 11 I DI.. VIND 1. 0 1. 0 1. 5 1. 6 1.? 1. s 1. 6 . 1. 7 1. 7 V f NDAl·!AL YSE

ru:11:::N:·1 I l1(•F.L STILLE 6- 2 0 11/S 2. 1- ;;_ (J t1/3 -l. , - -~·- (I 111S OVE~, 6 0 MIS TOTAL

rtN r C•BS

30 7. 2

. 8 0. 0 0. 0 8. 0

60 9. 3 . ......,

0. 0 0. I) 9. b 11IDL. VIND 11/S 1.'3 1. 0

90 120 150 180 210 240 270 300 3:]0 J~OTOTAL 14. 4 10. 2

.0 1 0 0 10. 4

.2

10.?

6. 1 .0 2 0. 0 3. C 17. 8

6. 3 11. 0

2. 5 .2

2(1. 0

27 2. 0

.5 0. 0 5. 2

.2 .0 0. 0 0. 0 .3 8 2. 0 1. 9 2. 7 2. 3 1. 3 16:.3 194 ?.10 70 3,!,0 406 105 b

1 0. 0 0. 0 0. ()

1

2

0. 0

0. 0 .6

12

7 1. 1)

l.

o. 0 1.0

4. 2 '54. 7 J. l 2:;. ~ . :., 4. 9 (>. 0 . 4

·1. 9100. I)

. 7 1. 8 2. _4 2. 1 7

37 161 2026

....

MID!.ERE VIN::•~TYR~'E FOR HELF DATA!:-!::TTE'T E:1 t ..<., M/S, llA~f:IH f'Å 2040 l1r,~.e;:::vA~~-JONE'H

:? 3 I O 3 2. oo 4 00. t:.,_.(lQ 0. 01) 0. 00 i>. 00 . ~O

B~TANIEN 12 1 1 .0 0 0 ~ 00

(18)

Table A6: Sandviken

VINnRl)C;F. FRA SANnVI!<.:EN

]/12-80 28/ 2-81 FRA TAPE 1 VINDROSF. Kl...

SFl<T()R 1 4 7 10 13 16 19 22 'O00N

;,n- 40 2. 3 4. ~ 4 s 4. :5 1.· 1 t: 1 4. :5 3. 4 3. 9

~(>- ·10 13. fl l::'I. b '(·\ ~ 0 4. :'i 0. 8 8. 0 10.'2 11. :5 JJ.

Rc1-1on t 2. I> .l2. S l1,9: 8 14. 8 4. S 10. 3 19. 3 17.2 12. 9

110-,.:;o 3. 4 4. S 4. S 2. 3 1. 1 2. 3 4. S 0. 0 3. 2

11\0-1./-,0 .1 1. !'5 ''-· !'5 8. 0 13. 6 12. 5 13. S 12. S lQ._3 12. 2 170-190 78. 7 '/.2 7 79. ~ 7.?. 7 3(1• 7 31. 0 22. 7 27. o 27. 4 21K1-?.?.0 11. 5 9. 1 b. ~- 9. 1 .8. 0 10. 3 8. 0 12. 6 8. 7 2~:0-:?~0 0. 0 0. 0 0. (> 0. 0 1..1 0. 0 3. 4 0. 0 .4

7.1.0-?r~o 0. (l 0. 0 0. 0 0 0 2. 3. 1. 1 0. 0 2. 3 .7 790-3J f) 0. 0 1. 1 0. 0 0. 0 2. 3 o. 0 1. 1 0. 0 . :5 :-:00-:~10 ?.. 3 '2. 3 0. 0 1. 1 3. 4 2. 3 1. 1 1. 1 2. 0 :,~n- 10 S. 7 s 7 JI. 4 JO. 2 10.2 11. 5 10. 2 6. 9 9.S ST{IIF. 8 0 tt. 4 R. O .17. 0 lS.9 8. 0 :2..3 b. 9 9. S

AIH. OR~ 87 ·88 88 88 88 87 ea 87 2102

Mlnl .. VINO 2. t 2. 1 1. 9 2.0 1. 8 1. 9 1. 9 2. 1 2. 0 V l NOANAI .'ISE

nr1r.N11 tnn=r, 30 60 90 120 150 180 210 240 270 300 330 3bOTOTAL

ST II 1..F. 9. S

. h- 2. 0 M/S 3. 7 7. 8 11. 0 2. 0 S. 1 8. 9 2.s .3 . 4 . 1 .b s. 3 50. 9 7.. 1- 4. 0 11/S .2 .9 1. 4 .9 3. 2 13. 7 4. S . 1 .3 •, 4 .8 2. 7 29. 1

4. 1- I, 0 H/5 0. 0 .4 . :5 .2 .8 4. 0 1. s 0. 0 0. 0 0. 0 .4 .9 e. e

rt'JieR 6. 0 H/S 0 0 0. 0 0. 0 0. 0 . 1 .8 .2 0. 0 0. 0 0. 0 . 1 .6 1. 8 TfJTAL 3. 9 9. 1 12. 9 3. 2 12. 2 27. 4 8. 7 .4 • 7 .s 2. 0 S'. 5100. 0 11lnl .. VTNn M'-,.:, 1. 0 1. 3 1. 3 1. 8 1. 9 2. 8 2 .. 9 1. 9 l. S 2. ~ 3. 2 2. 4 2. 0

. 41 199 2102

MJT. nRS. ~:3 t92 2n 67 257 ·57:5 183 8 14 11

11rr,1 rRF" V{Nl):'.T'tnl;~ F(IR HF.I F DATASETTET ER 2. 0 rl/S, BASERT P.~ 2104 O?.S!::RVAS~'O~~R

Referanser

RELATERTE DOKUMENTER

16 November 2021 Recommendation and implementation of good practice in researcher evaluation in Finland 2... Building the

 The NORTRIP road dust emission model has been used to calculate non- exhaust traffic emissions..  A congestion parameterisation has been included for calculation of hourly levels

estimates of ground level annual average concentrations of the metals as a function of distance approach the background levels of southern Norway at a distance

In this report the NORTRIP road dust emission model is applied to calculate non-exhaust PM 10 emissions from traffic in Oslo and to assess the sensitivity of

In this study the NORTRIP road dust emission model, which estimates the emissions of both dust and salt from the road surface, is applied at fi ve sites in four Nordic countries for

The safety standards require an acceptable degree of lighting in the inside of a road tunnel, which permits the tunnel user to adapt from the external to the internal conditions in

Compiling a national inventory of primary NO 2 emissions from road transport requires either NO 2 emission factors or at least values of f-NO 2 for different vehicle

The projections for consumer price inflation were rela- tively accurate for 2001 and 2002. A thorough evaluation must, however, look more closely at the factors that have