評估及分級管理 - ccb.osha.gov.tw · (chemical control...
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American Industrial Hygiene Association, AIHA
1998
1. /
2. 3.
permissible exposure limits, PELs
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2013 11
12
PEL 491 PEL
PEL 90 1
(2016 )
1
CNS 15030
Chemical Control BandingCCB
100 500
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1 0.5 PEL 3 1 PEL
0.5 PEL 1 1 PEL 3 1
1
X95 0.5 PEL 3 1
0.5PEL X95 PEL 1 1
X95 PEL 3
X95 95
PELs 491
90 200
/
AIHAMathematical Models for Estimating
Occupational Exposure to Chemicals
Zero Ventilation Model
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04
A
1
= (1)
CA Appm mg/m3
MA Amg
Vm3
/
Saturation Vapor Pressure Model
2
2
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05
2 3
= 10
(2)
= 10
24.45 (3)
CA Appm mg/m3
VPA AmmHg
Patm760 mmHg
MW A
worst-case
1.
2. /Q 0 m3/min
3.
4.
5.
6.
2
2
1/10 1/100
6 1/1000 1/10000 1/100000
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Box Models
3
4
=
+ + (4)
CAroom Amg/m3
CAroom0 At 0mg/m3
CAin Amg/m3
GA Amg/time
Q
ttime
Vm3
3
1.
2. GA
3.
QoutQin
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07
QinQoutQ
4. CAin
4
1. CA 0
2. 0CAroom0 0
=
(5)
ASteady state
= 1
(6)
CAroomss Amg/m3
Well-mixed Room Model
AIHA
1. Well-mixed Model: Back-
pressure- affected Generation Rate
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08
7
G = 1000 (7)
Gmg/min
Kt mg/minKt0.518/
MW1/31
MWg/mole
A ( )m2
PV
atm
PVBatm
R8.205 10-5 atmm3/((mole)(K))
TLK
8
C = 1000 1 (8)
Cmg/m3
Ktmg/minKt 0.518/MW1/3
MWg/mole
Am2
PV
atm
R8.205 10-5 atmm3/((mole)(K))
1 Braun, K.O., and K.J. Caplan. An Evaporation Rate of Volatile Liquids. (NTIS PB No. 92B232305). PACE Laboratories Inc. Project 890501.315/EPA/
744BRB92B001. Study conducted for the U.S. Environmental Protection Agency, 1989.
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TLK
Qm3/min
tmin
Vm3
2. Well-mixed Model: Exponentially
Decreasing Emission Rate
9
=
(9)
Ct tmg/m3
kmin-1
L0mg
Vm3
Qm3/min
tmin
9
(1) e^(-Q/V t) e^(-k t)
0
(2)
(3)
9
10
-
10
=
(10)
Two-Zone Model
4near field
far field
4
11
= +
+
+ +
+ + (11)
=
(12)
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11
CN,t CF,tmg/m3
VN VFm3
Gmg/min
m3/min
Qm3/min
t (min)
12min-1 13
(13)
(14)
1.
2.
3.
4. Qin=Qout=Qm3/min
5. Gmg/min
6.
Turbulent Eddy diffusion model
(Fick's Law)
5
eddies
15
16 17
3
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12
5
3
t r
=
1 1
(15)
r
= (16)
=
(17)
Cr,t Crmg/m3
Gmg/minDm3/minrmtmin
1.
2.
3.
4.
5. infinite space
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Statistical models
2006 AIHABayesian statistical approach
similar exposure group, SEG
exposure
reconstruction
A1, A2,,An SB S
P(B) 0 B Ak 18
| (18)
P(Ak)Ak
P(Ak B) BAk
prior
distributionlikelihood function
posterior distribution
Bayesian Decision Analysis, BDA
prior
distribution
likelihood
prior distribution
likelihood functionposterior
distribution
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1.2.3.
1.2. 253.4.5.
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1.
1. 2. 3.
4. GA
5.
6. 7.
Additional: 1.
CA 0
2. 0CAroom0 0
1. 2.
3.
4.
5. t=0
6.
7. 8.
1. 2.
3.
4.
5.
6. 7.
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2.
1. vs
2. 3. 4.
5. 6.
1.
eddies2. 3.
4. 5. 6. 7. infinite
space
D
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GHSCCB
1. AIHA Exposure Assessment Strategies Committee Modeling Subcommittee. 2000. Mathematical Models for Estimating Occupational Exposure to Chemicals. AIHA Press. Fairfax, VA, USA.
2. Ignacio, Joselito S. and William H. Bullock. 2006. A Strategy for Assessing and Managing Occupational Exposures, 3rd Edition. AIHA Press. Fairfax, VA, USA.
3. Chris Keil and Robert Murphy. 2006. An Application of Exposure Modeling in Exposure Assessments for a University Chemistry Teaching Laboratory, Journal of Occupational and Environmental Hygiene, 3:2, 99-106.
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4. 2012 100IOSH100 A307
5. 2013 102.7.36. 2014 103.12.317. 2014 103.12.318. 2014 103.6.279. 2015 104.12.2