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詳細リスク評価テクニカルガイダンス − 詳細版 −

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1. 5 4 00000 000 Pi 000 Huber amp Snyder 00000000 2005000 00000000000 000000000000 OO 4 000000000 0 5 Hb 0000 00008200000 1 2 Hb Hb 0 0 0000 Hb 0000 3H vA 3H me 00 a u 000 000 00090 0000 0008000000000000000000000000 0 000000 00000 00000000 0000000000000000 36 es seen 0 9 0000000 ae 0000000 42 000 0 miri 00000 OK Tet 5 5 00000 54 0000000 00000 000000000000000000000000 10000000000000000 0 000000000000000000000000000 100000000 0 000000000000000000000000000 8550000 Weg 000 Lb 00000000000 0000200000000000000000000000000 0 00000000000000000000000000000000000000000 0000000000000000000 lt 00000 0000 EO 00 91000000000 000
2. 000000000000000000000000000000 20030 000 0000000 000000000 CRM weksitog 0 0 0000000 0000000000000000000000002000000000000 3 3 4 0000000006000 01 10110 10 00 00 00000 34 34 0000000000 000 2000 Risk EUSES 000 D MRA 0000 CRM website 0 EC 2003 00 0000 H Air H Air H 0000 H 00000 H Shower H 000 Ground water G 000 000 Drinking water G 00000 D 000000 p Breast milk G Dairy product G Milk G G Meat G Beef G 0 G Fish G Fish G Root Crops G 00 Leaf Crops Fruit Produce G G Cereals 000 00000 3 Soil watershed Land G EC 2003 Chapter2 Appendix 00000000000000000006060 2006 5792 e 2 4 882 2 YN a bi MRA BAD DEE AL MAR TEEN E gt DEKR e UTE WAS EBE 33 b 5 EE 60 PARE 1 5 BEBUCHEGE
3. http Wwww jemai or jpt i 0 00000000000 1100 000000000 00001 OOOO METI LIS 0000000 0000000000 20 0 0 0 2001 0 8 000 31000 TW dx 1 120 4 128 1 126 282 4 132 1 20 0000000 980 IT 0 01 a U ns 0 0 5 5 0000000 SITE 0000 EOI EI A a p c F 00000000000000 0000000 gt 0 9 000 31000 0 10 0000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 0000000000 unm 11000000 1 2 1 3 1 4 1 5 1 6 1 7 1 8 000000000000000 U uuu 00000 1 6 1 61 000 1 6 2 00000 00000 1111111111 E O 1 1 0000 OOO 0000 METFLISO O 0000000000 METILIS Ministry of Economy Trade and Industry Low rise Industrial S
4. 000000 0000000000000 D 0 00000000000000 000000000 0000000000000000000000000 50 000000000000 00000000000000000000000000000000 0000000600 111 0101 00000000 0002000000000000000000000000000000 a o E p DB BED 000000000200000000000000000000000000000000 0 0 SD 1111111 1111111 0111 111111111111111111 1111111111011111101111111111111111111111 1111 000000 EPAQ Aggregate 0 O O O O 2001 0 000000000000000 00000 5 2 EUSES Exposure Dose
5. 000000000000000000000000000000000000000 O 8 000 0 00000000000000000000000000 0 000000000000000000000 0000000 U reservoir 000000000000000000000 DO 0 1992 EPA 1992b Bunge et 81 1998 1995 0 0 0 D 0000000000000000000000000 Stratum Corneum O U U l Viable Epidermis eg 0 00000000000000000000000000000 0 000000000000000000000000 gt 20000000 1 000004000000 Pev Pev 1 0 1 l re 1 rc l re 9000000000000000000000 19925 0 000000 Aniline 7 9x 10700 Benzene 1 3x 1071 2 4 Dichlorophenol 8 3x 1070 Ethylbenzene 1 4x 10 8 Phenanthrene 2 9 Pentachlorophenol 7 2 100 Chlordane 3 5x 100 DDT 2 3x 1000 6 3x 100
6. E E 1 SEE EST CEST EE p 37 000 0 000000000000000000000000000000000000000 OU 7 8 00000 unnnnnnnnnnnn 0000 out csv Microsoft Excel HATA 1 1 outcs 30 JD d ep x Ba 0 0 x 2174 WB 02 2 MS 7 B X DX JE 2765 REO ATV HAO BRO 2 50 DOW 1 x 250 4250 2050 6 06E 12 1 4250 2150 15 0 602 12 1 grid 4250 2250 15 612 12 1 grid 4250 2350 15 0 6585 12 0 1 grid 4250 2450 15 0 707 12 1 grid 4250 2550 15 0 817E 12 1 grid 4250 2650 15 O 9 78E 12 1 grid 4250 2750 15 1 085 11 1 grid 4250 2850 15 0 1 06E 11 1 grid 4250 2850 15 114 11 0 1 grid 4250 3050 15 1 26 11 0 1 grid 4250 3150 1 5 1 41 11 0 1 grid 4250 3250 15 1 53E 11 0 1 grid 4250 3350 15 0 1 71E 11 1 grid 4250 3450 15 1 80E 11 0 1 grid 4250 3550 15 1 84 11 1 grid 4250 3650 15 0 192 11 0 1 grid 4250 3750 15 202 11 0 1 grid 4250 3850 1 5 0 205 11 1 grid 4250 3970 15 2 06E 11 O 1 grid 4250 4050 15 208 11 0 1 grid 4250 4150 1 5 210E 11 1 grid 4
7. 0 0 0 0 0 0000 00000 000000000000000000000000000 190000000000000 0 0000000000000000000 160000000000 225000000 000000000000 BE DELE BE EDI E EDGE B EE BD EE ET 0000 000000 30000000000000000000000000000000000 OOO 0000 0 000000000000000000000200000000000000000000 000 0 0000000000 00 000000 0000000000000000000000 0 00000000000000000000000000000000 Lu 0 000000000000000000 0000000000000000000000 000000 00000000000000000000000000000000000 0020000000000 000 0 000000000000000000 0000000000000000000000 0 0000000000000000000000000000000 00000000 000000000000000000000000000000000000000000 P 000 0 000000000000000000 00000000 00000000000000 0000000000000000 0000 0 0000000000000000000000000000 2000000000000 Dp 2 14 000 2000 000000000 0000000 000000600 000 0000000 0 03 000 0000000
8. 5 1 Rik Leaming 0 0 0000000 0000000006000 0000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0 000000000000000000 1111111111111111111111111111111111 0000 00000 00000 0000 1 0 000 000 00000 4 E2 0 000 000 0000 3 3 0 000 000 0000 7 4 11 11 0 27 E5 0 000 000 000 1100 2 0 000 000 000000 000000000000 28 0 000 000 000 2 E8 0 000 000 000 2 9 000 2 E10 00000 000 8 000000000 00000000000000 6 0000000000000 E 00000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0000000000000000000 00 1 550 0000000000000000 poo 000 6 000000 280000 poo 000 6000000000000000 0000 3 2 28 rik Leamingl 000 3 20 00000 Risk Learning 000 000000 0000 0000 0000 000 3 2 29 0 10
9. 1111111111 1111111111111111111111111111 DR EB ERLEBT DESI 0000000000000 00000000000000000000000000000 0 dispersion 00000 0000000 ADMER Y 000000000000000000000000 00000000000000000000000000000000000000 ERSTE E BIETET 0 0000000000000000000000000 2 00000 000000000000000000000000000000 000000 000 1011 0 0 0 111101 1011 0111 1111111111 1 111 11 0 11 01 01 11 E EET B E D RE B 40028000480 OO 2003 49 1 1100000 0 00000000000 6 43 0 00000000000000020000000000000000000000000 0 00000000000000000000000000000000000000000 000000000 0 0000000000000000000000000000000000000000 0 000000000000000000006000 1180 00000000000 Ua Ag nn on ng ET A ET TT a BT EB 0 00000000000000000000000000000000000000000 BGB B PEE RED UE 000000000000000000000000000000000000000000 11111 O RT UL AA 1411 B E B BEES BH 0000000000000000 3 2 4 000
10. 111 000000 Om 0000 661 00000000000 USEPA 0 0000000 000000 1 563000000000000 000 gt usu esas 1111101101 E D EB 5 6 6 2 1 1 0 0 0 0 WD BE AD EEE OnE BB ory BBE DS EEE Ey EE EEE EE SE NE EEE BB WS EE OE 111111 1111111111 111111 11 Bp BU 2 0000 NE 30 00000000 0 000000000000000000000000000000000000000 a ON 0000000000000000000000 820 000000000000 10790 00000000200000000000000 11 000000000000000 0000000000 0 030 0000000000000000000000 000000 3200000 0 0000000000000000000000000000000000000000 a gg DE ETE I EE TIS 1111111111
11. GEP Good Engineering Practice 00000000000000000000 00000000000000000000000000000000000000000 00000000000000 1985 0 GEPStackHeight H 1 5 x min H W GT P ERE BEE OE EE BE TEBE o stack U D U U source O O nearby structures 0 U O D GEP I nearby terrain obstacles 1 D O O O Udownwash 1 O 0 0 U U U eddies 00000000 0000000000000 6 00000000000000000000 000000 He 00 0000000000000000000 OO 000000000000000000 6 12 0000 000000 tigdo 0000 e uult i 00000000000 9 0000000000000000000000 O 0000 0000000000000000000000 Fig 1 Fig 2 X OO 1 0 0 0 0 0 1 min Hb 50200000000000 GEPStackHeight H 1 5xmin H W 2 5 1 0 000
12. cells 2 km radius AOI 9km facility centroid waste management unit DEMs digital elevation models g MRA D M 0000000 Ecol ogi cal Ri sk Waste Management pl 00 ses parti cul at es 0000060 surface AT uud m ati zati on 00000 oe X Aerated Tank fnear parti tLastng fish Gogol Dns own Foodchai n 000 resi dent M 00 hone gardener 000 dairy farner Landf i 8 a i sher ser Hunan Exposur e infants breast ml 1 9 6 110 000000 12 191 Farm 191 0000000 Hunan Ri sk 00 0000 tr ansf or nati on 00000 0 O 0000 00 000 ur Ces Transport Foodchai n Exposur e sk 3 2 33 000 3 20 00000 60000000000 61 62 000000000000 2006 00 00000000000000000000000000 0000000 OU 000 000 UU 1300000 O O 00000000 O O O O O DEHP O O O O 1400000 O O O O 0000 O O O 1100 O O O 0000000000 O O O O O O O O O O O
13. 0000 600 0000000000 1 1 0000000 1 0000000000000000 0 000000000000000000000000000000 Pankow 1987 0 Junge 0 0 00000000000000 Yamasaki 0 0 1982 Langmur 0 00000000000000000 BidlemanQQ 19870000000 0 000000000000000000000000000000 940 9000000 HCB Lindane 00000000000 13 3 Anthracene OOO 1730000000 3 2 8 000 3 2000000 lr He dMa dt Ia O DEHP adv a DDR DWR x fag DDR DWR x fap k CRM website x deg a 1 00000000000000000 O O 0 pwr 00000000000 DDR f ATI 00 0 fap OOO O O O 1111111111 1 1 1 1 1 E Trapp et al 1998 Rik Laming p 270 6 002 p 82 005 0000 0000 0000001410000 2003 TGD partll chapter 3 2 3 5 1 000000000000000000 0 000000000000000 0 000000000000000 0 000000000000000 0000 000000000 8 2 9 0 00019 VPIQ Fassaer 0 0 SO vapor phase 0 10 GO
14. amd E USES1L ON OOOONO000 0000 100000000 def O default Text 295 0000 0 00000 stem 00000 O def 0 def 0 4 k ant gt gt apo df Koc X fod TSCF 84 log Kow 1 78 2 44 _ FP x10 HENRY D log Kow 2 05 as plant oe 042 1 O SEF BD piani 1000 USES p Fsolid x soi x BDsoil ngg OO I FP 1 vater n3 w n3 soil porevater kg vet st en 000 def 3300 3 air kglvetstem n3 air 500 SF wetstem 1 Aoi A Kos pi pl art 0 0 8210 077 o8 0w152 x BD Y 000000 yoo s vet er 8 w soi soil water BCF FP x K FP xK 0 0 aer plant TSCF x SCF x BD soil gas plant BCF stem T Kos water vetstem Bair _Pl art 00000000 root root X soil kg vetsoi vetst LEES 5719 i ECFstem leaf root 00000000 XC Cair 000000 nystemkg 000000 nykg USES p 295 6 2 def GN unge SURFaer 0 0001 Creag x m Coi x IH roa Y CONjunge x SURFaer Dose
15. ET EEE utut 00000000000 PRTROOO 00000 2005 0 000000000 000000000000000000000000000000000 000000000 00000000000000000000000000000 00000000000000000000000000000000000000 00000000000000000000000000000000000 6 6 000000 nnununnnnnnn 000000000 1007 0000000 8147 REDI A 2A 48 58 SA OK Frye 0 00000000000000000000000000000000000 100000 0 00000000000000 lt 5 0000000000000000000000 000 0000 000 0000 0000 00000000000000 OO 00 0000 OOO OOO 0000 00 0000 OOO mgh OOO mg h 0000 00000 g m 000000000 00 00000000000 1 00 0000000000000 6 9 000000 6 10 00000000 METI LIS Ministry of Economy Trade and ndustry Low rise Industrial Source dispersion model HOO 0000000 41 0000 00000 42 00000000000 43 00000600 44 0000000 45 00000000 46 000000 47 00000000000
16. O00 USES version2 1999 EUSES 000000000 U Risk Manager p 10 25 USES 1 0 EUSES 1 0 elimination growth dilution air diffusive cN gt l translocation 103 11 USESZ LEUSESE YA OLH sr t d X soil water 3 2 22 000 3 20 00000 EUSES IDnnnnnnnnt def EUSESL O default App Il 2003 8 27 0000 OOOO DOO O mk 0 00000 0000 2030000 7 0000 0000 defaults OOOO 0 0 def 0 30 WB TSCF 0 784xexp log Kow 1 78 2 44J w biant warer 0 0 leaf air TSE n 000 00000 plant warer FWater piant Flipid Kow 2 kelim pant kmetab kphoto pan transpiration streamn3 d Bw 0 001 kel i mpl ant ra 000000000 0 000000 86 4 rans BETA grie Cagric porewater X Qiransp Vs poe def 0 002 x plant water agric porewater AREA AREA yan 8 plan rae 1 Fass X Cu X 8 plant cr A ALPHA ES XV ke lim kgrowth pian RHO leaf laef air V leaf ALPHA 19 sin 00 kg d PEA so Te a source D D ALPHA _ RHO pun Dose
17. 0000000000 0 000000000000000000000000000000000000000 000000000000000000000400000000000000 0000 0000 000 0000 000 0000 00000000000000000000000000000000000000 0 0000000000000000000000000000000000000 0 0000000000000000000000000000000000000 31 0000 0000000000000000 000 0000 a 34 E O EJ EJ E E 3 123 L3 4 E3 1 E3 A 3 El 1 ES E E LJ 34 41414 E E E 0000020000000000 0 0000000000000000000000000000000000000 000000000 0000000000000 Rs Lening EUSES EO 3MRA EPA OO 0 0000000000000000000000000000000000000 00000000000000000000020000000000000000 O M Multimedia Multi pathway Multi receptor RA 0000000000000 0000000 20000000000000000 0310900000000000 O20060 00000 02006 0
18. oo unn o 0000 777 ooo 4 20 gt 8 00000 0009 8 6 0000 6 0000 000 oo 000 oo oo gt 0000 0000 gt 2 0 amm z e 000 nn 00 oo lt gt 9 000000 0000 89988 0 0 422 12 2242 Fa tee fn 03 TEE ASHE ADETI MTL ATT Aes is Le E77 HST West LE onm gt 5 Maca it wi 141 BENE NERS Pm 6 2 43 Dri OCTET TI TL gt E i gt gt 0 111 11111 00000 000 000000 0000 vapor depletion 0000 11 00000 000 3 2000000 000000000000000000 000 Hemond et al 2000 000 1993 0000000 washout U U U U rainout O 0000 00000 15 00000 28000 0000 depletion O D D OOOO em s lt x mg m3 Dydv Vd O U U U J 0 5cm s 2 9 OPsoodg igs 000000 gt EUSES 2 D kgd 00000 gt 0 01cm s particle 00000 0000 Dydp 0000 000 Stokes
19. 1100 0000 1 50 1 83 0O0000000000000000 111 1 1141 11 11 11 1111111111 BEBE 1 OD 0000000000 000000000 DEBE BE BEBE BE EET BRE 00000000000 00000000000 000000000000000000000000 U uuu nnn nang nn nn Bn 000000000 0 0000000000000000000000000000000 0 00000000000000000000000000 45 5 0000000 0000000000 0 400011 8 0000000000000 1 10 000 2000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model HOO 0000 0000000 1111111111 O A 21 0000 22 0000000000 23 000000000 24 241 0000000 242 25 00000 26 27 000000 28 0000000 29 00000000 210 000000000000 2 1 000 2000 HOU 0000 0000000 115000000000000000000000 11500000000000000000000000000000 10km0 U 0 00000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0 00000
20. He 0 00000000000000000000 0000000000 He 000 000000000 0000000000000000 BEER D E PR p D B S P E DD D 00000000 000000000 p 000 000000 0 07 I 8 0 07 x 6 0 10 rg z D 0 15 0 35 ms F 0 55 EN Pasqil O 00000 nnnnnnmn ma 0 1 60 Q 300 59 150 29 14 AB B 000 00000 hre 00000 10m 10 2 00000 000 000 00000 hs Os gt he 0000000 H gt gt gt 000000 4 9 4 6 EE E EE El El gt E EE E Oo 00000000 DU uuu 1100001000 0 00000000000000
21. 53213 000000000 1 03 10 0 24 53 1 15 C St ack ti p downvash 40000000000 ms 58 5 6 15 U 00 h h hy h 2d 225 u 00000 1 hs 0000 Im 000000 he 000000 h h Ah 09668068 l 1 Tay 0 0 He N _ gt gt SAM F wee Y AMORES 7 ERL oy RARE tit L AN IO SE HE RE 00000000 45000 00000000000 0 0 001 p 1940 O O O 1999 OOOO 0000 0 Yes 5 9 CONCAWE Qn 0 T Y Un 0000 5 5 8 Ah 0 175 0 74 15 Os 0000000 m h h Ah hs 000000000000000 mi m 2001000 000 p 157 METI LISOOOOOOOOOOOOO 0 pC Q T T 9 0 0000 6819 p 9 000000 1 293 101 g m Ah 0 175x Q xu 00000 0 24 cal K g 00000000 Pd 04000000 0000000 8 CONCAWE CONservation of Clean Air and Water in Europe 60 00000000000 6 5 0000 63 000000 118 000000000000000000000000000000000000
22. 0000000000000 UUUUUUUUUUUU 00000000 UUUU EN HEURE ME 0000000000 0 000000000000000000000000000 0 0000000000000000000000000000000000000000 020000000000000000 Variability 0002000 0000 E B UP EET B ES BE ETE E 000000000 0 0 20060 000000000 0000 00000 000000000000000000000000000000 ELK E E PAGE 0 00000000000000000 00 70 00000000000000000000000006000 0 000000000000000000000000000000000000 HE BE BEER HEISE EE ERE BE EE EE EE EIE BECA 3 3 18 0000000000 unnnnnnn 20060 0 T BABE 858 000000000000000 00000 00000 HH 50 AF 000000 T 00000 oe Tor r 88 1 ll Je 0000 1881 5a 2200 0007 _ 0000 000000 00
23. 000000000000000000 V Kan 0000000006000 _ A x Rain k wet h seed 5000000 m Va m sec Rain OO U Pa m3 mol K Henry 1 K UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU C expt k xtf 00000 00000 00000 0 000 0 000 0 0000000 0000000000000 1997 i OOO p 2 19 00000 0 0000 0000000009 amp 00000000000 00000 00000000000000 3 2 10 000 3 20 00000 EU TGD EC 2003 M G T a air gas phase rainwater 1 8 ooo a 1 0 0000 0000 000 4 128 wet deposition dry deposition 000 1 1 06 1 1 92 Figure 8 Fate processes in the air compartment 000 _ 1 20 eg a
24. 2003 0 Toxico Kinetics aes DAT Bad Dag Pag ggg Bg Eg DARA Bg 000000000000000000000000 00 200000000 9000000000 OE EAE EARS BS P C E PE BP 00000000000000000 Paustenbach et al 2006 0 00000000 3 3 20 0000000000 2003000 19960 00000 000000 00000 2000000 1111 1 DO DD 1 111 1 1 1 0000 00000 30 95 209 0 010 0 6 0000 95 20 6 0 80 400 55 0 050 29 TCDD 100 90 40 50 0000 60 900 100 00 0000 800 50 100 00000000000 90 750 100 100 60 00000 600 70 90 4 25 uuu 90 60 5 1 1 1 1 100 0000001 0000 00000 Uu D 0 75 CFDO poo 25 0 0000000 00 D TK TD 00 D 0 1 0 05 Kp lU 0000000000 1100 00000 0000 Inhaled air Expired air 3 3 21 0000000000 OOOO O00 2005 0000 000 000000000000000000000000 2005000 00000 14059000 20050 90 2006 0000000000000 0 CRM 2006 60 61 2003 00 0000000000 0000 2003 4 40 0000 2003
25. Verification Validation preferred model 00000019790 00000000000000000000000000000000000000000 00000000000 00000000 15 5 e340 O 000000000 000 0000 00 00 000 000 00 0 0 0 0 U fugitive emissions multiple sources O 0000 0 0000000000000000000000000000000000000000 0 000000000000000000000000000 99500000000 0000000000000000000000000000 0000000000000 000 L1 000000 00 20017 0000000 832 ISCO 15000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0 000000000000000000000000000000000 1500 0 0 00000000000000000000000000 20017 00000000000 000 000000000000000 0 0000000000000000000000000000000000000000
26. Soil 0 0 19940 000 Dj D K teach K aap JX H x RHO HE BET BUDE DET b BP RET E P PEE DP e EE E B PEE BITE direct C soil 000 32000 O sal 0 O swiss 1 U OCS 0000000000000 02 0 00000000 x0 Kay x0 Koc 1 0 DEN o Ky Koc 1 9 DEN o f Koc x OC go x 1 0 x DEN o K yy XO 4 Koc x OC o x 1 9 x DEN o t volatilization leaching O 0 O runoff O O erosion O windblown dust 00000000000000000000000000000000000 00000 volatilization D U U U D D leaching UU U U filtration 0000 OO OO windblown dust resuspension 0 0 3 2 14 000 3 2000000
27. 8 2 7 000 3 20 00000 41 000000 411 0000000 00000000000 0 0 000000000000000000000000000000 2001 p 97 0 0 3 000000000000000000000000000000000000000 0000000000000000000 98 et 1 2000 0 O O O O 0000000000000000 6 00 ttp unit aist go jp crm fateNO O O 00000000 00000000 Bidleman et 1 2000 0 000000 9 6 1977 0 0000000000 Bidleman et 81 2000 0 0 Junge Pankow 0000 f 0 C par 1 0 cx p Ca rs 1 K 5 0 000000000000000000000000 0000000 000000000000000000000000000000 000 O 00 0000000 Cgasl Cpar SO 00000 00 00000000 Pal 000 0000000000000000000 1 5 1070 e 00000000 6 000 17 Pal cm Trapp et 81 1998 1 TH 0 qaJ molliti I D 0 0 n 0 00 D Ns mo emz 0 0000000000000000000000 00 00 0 Gunge 1977 c 10 x RTxN Q RT copo SOO00 0000000000000 Bidleman et al 2000 0 000000 0 00 000 000000 OOOO 000000 000000
28. 2 8 000 2000 lt 80080000000 UN 000 000 00 0000 Uu cg o gl 000000 000000000 000 OU 0000 OU OU 0000 m OO 40 00000 000 0000000000000 5 00000 5 1100 00000000 0 00 000 2 9 000 2000 26 0000000 00000 000000000000000000 000000000000 0000 METI LISVer 20 00000000 USEPAISC30 0000000000000 0000 000000000000000000000 000000000000000000 0 0000000000000000000000000000000000000 00006000 ISC3 00000000000000000000000000000000000000 0000000000000 0 unser sus 11 00000080 000000000000000000000 0 0000000000000000000000000000000000000000 RE BI D D E BD D EE EP B E BET E ED EE I EP b BE M ED EET 0 0000000000000000000000000000000000000000 20000000000000000000000000000000000000000 0 0000000000 stack tip downwash QO 000000000 AR CH S RE D B E PA CN A RI TG GI
29. 5000000000 00000 51 5 2 EUSES 5 3 6 D 1 11111 0000 00000000000000000000000000000000000000000 3 2 1 000 32000000 000000000 000000 0000000 0 0000000000000000000000000000000000000000 000000000000000000000000000002000000000000 1111111111101111110111111111111111 0 0000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 1 0 1 1011101000 0000000000000 Medium Media 000000000000000000000000000000 EB E EET B BE EE 0407070000000 0000000006000 000 000 OU 000 0000 00000000 A UR AERA DA BEA RNC UR 1111111111 0000000000000000000
30. 1 1 00000000 00060000 00000 1100 0 5000000000000 00000 000000 _ 00000 Novos OOOO 00000 0000 2001 m 0000000000 0 0 000000000000000 v 6 1982 2001 p 236 000000000 EIC 1 B Hl U U 00000000000 000 000 1993 265 0 00000000000000 1997 36 0000000 00000000000000000000 uuu 0 000000000000000000000000000000 0 000000000000000000000000 000 1998 146 000000000000000 000000000000000 1985 A 3 Down wash chimney Down draught Building or a hill ISC PRIME Building Downwash Schulman et al 2001 ISC guidance 1999 Stack tip downwash building downdraft downwash down draught 0 0000000000000000000000000000000000000 EIC DJDUDDUD http www eic or jp ecoterm act view amp serial 1664 00000000 J 1 Downwash 00 L3 E 3 1 1 We JUD 9 8 000000000 m 11 9 amp 00000000000000000000 http www eic or p qa act view a
31. H s Huu METI LIS 00000000000000000 Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 0 BADR ADH 0 000 0000800 2006 21 OOO 300 0 OOO 300000000000 00 000000000000000 0000000000 00000000000000000000 0 0000000000000000 5 0000000000000 0000000000000000000000000 2003 O 000000000000000 000 2003b 0 00000000000000000000000000 000000000000000000000000000000000000000 0000000000000 0 00000000000 Learning 00000000000 00001 0 000000000000000000000000006 00 0000000000 A 000 31000 00000000000000000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model OOO 000 31000 000 0000 METI LISO O 000 ggg 0000 000 000 000 0000 poo 300000000000000000 10000 5 0 0000000000000000000 MErLISOOOOOOOOOOOO 00000000000000000000000000 0 000000000000000000000000000000000000000 000000 000 31000 000 000 31000 00000 0000000000 0000000000000000 0000 EE
32. E3 3 O El EX Ea 8 8 OOO 76 0000000000000000000000000000000000 0000000000000000000000000002000000000000 0 000000000000000000 r3 EI 51 1 O E 000000000000000 L1 EE 0000000 000000000000000000000 OOO Trapp 000000000000000 00000000000000000000 0000000000 CRM 2003 1200 Verl 00000000 1 111111 111 1 000000000000000000000000000000000000000 00000000000000000000000000000000000000000 CRM Newsletter No 6 2 5 2004 00000000 3 2 42 000 EUSES 000000000 0000000000000 000 3 2000000 00001 000000000 000000 000000
33. 0000000000 ASEM Activity based Spatial Exposure Mode DO OO OO 0 0 0 BBE BEEBE 0 PE BE 011111 0000000000000000000000000000000 9200000 0 0 1710000000000000000000 00000000000000000000000000 DEG EE B CIE B DE 000000000000000000000000000000000000000 00000000000000000000000000000000000 000 aa 111 b PER EP P E EE E E EE meng ERE bo p 000000000000002000000000000000 0000000 0000000000000000000000000000 3 3 8 0000000000 Microenvironment E C Hubal 2001 For each microenvironment macroactivity combination me ma inhalation exposure over the 24 hr period is defined as e Cane X Iia x ED me ma Carme air concentration measured in the microenvironment mg m IR ma child s respiration rate for the macroactivity m3 h ED time spent in that me ma over the 24 hour period h 24h Exposure
34. 6 3 1 6 3 2 000 00000000 160000 000 UUIDDUDDUDUDDUDUDBDDUUDUGUDUDUDUDUDUDUDUDUDUUDUuDUDUDUDUDuD 9 000000000 Wind roson 11000 0 0 0 1000000000 000 0000000000 gt 10 0000 O gt 0000000000006 PRU a UNE 000000000000000000000000000000 0000 0 0000000000000000000000000000000000000000 a EA RA CL A D DE BBE 10 00000000000000000000000 0000000 00000000000 0 0 0 00000 Pasquill Gifford 00000000 0530 54000000 000000000 00000000000 0 0000000000 0 00000000000000000000 0 0000000000 He 000 00000000 0000000 6 6 0000 00000000 0000000000 00000
35. 2 20 26 20 1 2V OOTY AV ue V x I x do dx V V 0 006u 0 75 m s FLUX V C X z 4 0000 m 2P 00000000 000 1000 kg m pa 0000 000 1 25 kg m 1 1 1 0 1 5x1070 m s 9 8 m s 0 000000 m s 6 18 1111 101 0 000000000000000 0000000 v 0000 000 1997 p 221 Va RAB FT OWH 1000 kg n _ 27 p gI9up ERU ME V 000000 8 he V xlu 00000000 Hem lt V V 0 006 000000 vd 00000 a x 1 2 V V uHe V x o x do m 2r p 8 194p 5 0000000000000 000 1 1 00 000 4 1 28 000 1 1 06 000 4 1 32 000 1 20 00000 He QOOUOQOMETILISOOOUOUGOO u x 111 141 11 V 2V ast V V uHe Vx x do dx 00000 V V 0 006 kg m 000000 x00000 FLUX V C x 2 4 m FLUX kg m s 0000 m s V 000000 m s 6 19 0000 66 000000000 E El a E
36. 00000000 00000 00000000 0 000000000000000000000000000000000000 0000000000000 gt He V x u Hed 000000000000 He 1 0 4 5 0000000 0000 x DDDD 10 1019010000 C x y z 2 He V x u z He V x u z exp 267 26 267 2V a x 1 uHe V x x do dx 2 4 000 2000 at E x Sah Tee HEDSTE EOE HAE C OK Fell 0000000 0000000 27 2 2 9 116 20 nnnnnnnnnnr ae 0000000 m s 000 r 0000 m 1 1 00 OOO 1000 kg m 4 1 28 000 1 25 kg m3 000 1 1 06 poo00000 1 5 10 1 m s 000 4 1 32 9 8 m s2 1 20 J 8 m s Imsmnnn Gravitational Settling Velocity D D ms 30 40 50 Droplet Diameter um 00000 lu ml 2 5 000 2000 24 000000 0 000000000000000000000000000000000000000 241 0000000 METI LISQHQOOQO0000000000000000 EPA O ISC Industrial Source Compl 111111000000000000000000000000 000000000
37. 0 00000000000000000000000000000000000000000 00000000000000000000000000000000000000000 3 2 34 000 3 20 00000 71000 00000 000000000000000000000000000000000000000000 0 0000000000000000000000000000000000000 000000000 0000 40000 00 0 0 ELIT Doo 00 00 ooo QUO Cun 0 oo 0000 QUO 3 2 35 000 3 20 00000 0000 00000 2002 0000 ttp unit aist go jp crm lkousyu ADMER htm OOOO 1997 000000000000000000000000000000 00
38. 3 3 15 5 9 MRA 0000000000 O MRA Multimedia Multipathway Multireceptor Risk Assessment Y O O 0000 EPA 0000000000 20000000000000000 WMU Waste Management Unit 000000000000000000000000000000000000000 0 0000000000 2000000 100mx 100 0000000 00000000000 000000 watershed 1 010 1009001000 00000000 Vadose zone 00000 0000000000000000000 0808 9 000 2100000000000000000000000000 9100000000000000000000000000000000000000000 O00000000 00000 000000000000000000 E ATA EEE EN O EU
39. 0000000000 00 0000 RANERI 000000 54 Y 4 4 22717 320 00 Zu 280 00 240 00 i 200 00 H Bat P8 160 00 RER 00 10 0 ms F LT 00000 00000 00000 0000 1 0 01kWm gt 600 Q 1800 59 150 29 10 14 A B B B C C D D 0 0 D 0 6 7 0000 6 3 3 0000000000 DR ETE ae 11111 0111111111 1111111111 he Ore 0000000000000 0000000 D D 000000 74 5 80 48 00000 10m 10 00000000000 19 0000000000000 h Os 0000000000000000000 00000 hs 0000 gt gt h 000000 000000 E 10 20 000 eugene age ue ue uses B DP EDS ET 002000 0 00000000000000000000000000000000000000 0 00000000000000000000000000000000000000 00000000 cal em3 190 000 500 490 250
40. EUSES 000 00000 000000 ED 00 0000 0000 B 0000 Gib 000 0 ED Con 00000000000 qe Y M 3 2 31 5 9 0 000 32000000 20030 7000 0 version1 0 000000000 Multimedia Multi pathway Multi recepto WMU Waste Management OOOOOOOOO000000000000000 0 000000000000000000000000000000000000000 0000000000000000000000000000000 201000 90000000000 0 000000000000000000000000000000000000000 200 100000000000 RCRA hazardous waste 400 0 0 000000000000000 4600000000 E de E Te ES E ESSE EE E ad o ESSI 0 poo ISCST3D 000 EXAMSI 0 EPACMTP Vadose 1 D Aquifer 3 00 00000000000000000000 1 00 00000000000000 poo 0000000000000000000000000 99000000 00000000 Volume section 3 0 Transport media 00000 watershed subsurface vadose zo
41. Toledo OH Abdul Wahab Abdul Wahab 5 AQ Sultan ISCST32 I 2003 Qaboos Univ Oman 502000 000 00000 3654 0000000000000 Cheng Cheng W L Tunghai 00000000000 15 0000000000000 100000000000 2001 Univ Taiwan 000 02000 000 00000000000 Kumar et al Kumar K Sud STO UU UD 0000000 5 10000000000 1999 Univ Toledo OH so20 00000000 00000000000 00000 00001 0 Lorber et al 1999 Matthew Lorber Randall 15 5 31 00000 000000 19000000000 000050 3km Robinson amp Alan 00000000000 000 Eschenroeder EPA 00000 Riswadkar et al Riswadkar R EPARMP 0000 ALOHA CHARM PHAST TRACE Risk Management Program 1999 Mukhopadhyay Oxychem 0 0 0 0 0 000000000 Occidental Chem Corp lookup table OO Patel et Patel VC Kumar AQ Univ 0000000 49000 57200000000 00000000000 1998 Toledo OH 000000001 2 112000 SCREEN2 00 criteria 0 0 Kumar et 8 19 000000 ISCLT2 SCREEN2 000000 ggg al 1993 1000 111111 1 00000 Kumar et al Kumar Madasu R 00000000000 15 2 O 000000000 1996 Manocha Univ Toledo 15650 0 0 0 00010000 00 Crvip rri II OH 00000000 U D uuu mn Sen Ri
42. YI amp ra IX SE sm gt V VAS HES j 4 SB asa 2 DENN b 83 Ms e s sa ws 82 e alu E aspect ratio 30 4 7 11 00000 7 12 000000 METI LIS Ministry of Economy Trade and ndustry Low rise Industrial Source dispersion model 81 0000 82 METI LISQ 1501 1 82100000000000 8220 000000000000000 000000 83 ISCOOOOOO 8310000000 832 0000000000 84 15 0000000000000 AERMOD O 1563 ISC PRIME AERMOD 85 1150000000 86 000000 001 0 Scst3g 00 2 000000000000000000 81 000000000 15600000 82 5 8 3 ISCST3 vs AERMOD METI LIS 00 84 000000000000 8 5 verification validation 000000 HOU 000000 115000000000000000000000000000000000000 0 000000000000000000000000000000000000000 81 OOOO p ODODE BE ETT ET BE ET DE ET DEED ET EE P E E BET BE 000000000 accurac
43. 6 20 0000 20060 0 00 0000 0000000 00000 0000000000 00000000000 200000000 0000000000000000000000 000000 000000 0000 000000000 Numerical Recipes in CO 000000 000000000 fon 0000 00000000000 b 1 1 N 1 1 1 Sy Nu 1 N b 4 1 5 E 00001 M0000000 0 LU 0000000 3 prev lt TOLx Ed 0 00000000000000000000000000000000000000000 280 000000 000000 6 2 0000 67 0000000000000 671 00000000 00000000 0 0000000000000000000000000000000000000000 0 00000000000000000000000000000000 000000000 0 00000000000000000000 000000000000 00000000 METI LIS Ver 20 00000000 USEPA 13030000000000000000 26 0 0000000000000000000000000000000000000 153 0000000000000000000000000000 000000000 000200000000000000000000000 000000000 0 00000000000000000000000000 0 00000000000000
44. translocation 9 00000000000 Runoff 0000000000000 Exposed vegetables Protected vegetables 000 Exposed fruits 0000000000000 Protected fruits 0000000 00000 0000000000000 transfer0 00000 0000 0000000000000 00000 Biotransfer factor 1 1 111 0 3 2 24 000 3 2000000 FIGURE 5 3 COPC CONCENTRATION IN PRODUCE un ay 694 2 1 s A f Deposition of Particles Section 5 3 1 Vapor Transfer Section 5 3 2 COPC Concentration in Aboveground Produce pq D DD Yp kp 508000000000 0000000000000000000 Root Uptake from Soil Section 5 3 3 FL 3MRA document vol l 10 4 0000000000000 WMU Waste Management Unid O Dispersion 2 Velatikzation 4 23 3 2 Dispersion V X spys Depositon Vapor ad Particle
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52. 00000000000 McDougal 2002 0 O O O UO Ke 0000 Bunge et 1 2002 1 00 3 3 12 0000000000 Risk 1 1 1 ox 00000000000000 EF x ET x 148 0 00000 g m3 EF 000000000 Iday yr 000000000 0000000 g m3 00000000 lu ED 0 0000 LT 00000 ly ED Clad x 1 J IT OO 2 ADDing Cing x XEF img ADDing 00000000 mg kg day BW 3698 10 Cing 0000000 lu ekel IA 000000 Ikg dayl EF 00000 lday yrl BW 0000000000 LADDing ADDing LADDing 000000000 mg kg day OO ngL mg em event 900000000 0200000000000000 000 lt Mw 03000000000000 MW 040000000000000000000000 050000000000000 U 061 0000000000000 Die mgemvevent 0710000000 mg kg day mg kg day 2003 9 O Mir 000000000000000000000 000 000 M out Hi nnn 0 00 0000000000000 Min M out oo 0000 000000 3 3 13 0000000000 5 2 EUSES 95 00000000000
53. 000 8 0 0 00000000000000000000000000000000000000000 0000000006000 2006 0000 000 000 1300000 O 0000000 00000 00000000 O O O O DEHP O O O O 1400000 O O O O 0000 O O O 0000000 O O O O 0 0 0 O O O O O Lu O O O 00000000 ADMER 00000000 00000000 1 6 0000 00 00000000 0000000000000 20066 2001 08 03 Ver 1 01 OOOO 2002 02 01 Ver1 02 O00000 2003 12 10 Ver 2 00 OOOOOOOOO 144000 115 2 008 000000000000000000000000 15 00 Ver2 000 000000000 1 000000000000000000 b 00000000000000000000000 1100 0 0000000000000000000000000000 000000 000000000000000000000000000000000 UUUUUUUD 0000000000000000000000 FORTRAN gt gt 2004 2 10 Ver2 00 METI LIS 2 010 000000000000000000000000 OOO 0000000 Vvr100 0000
54. 000 1 1 O DO unit emission rate single scavenging coefficient 00000060 0000000000000 dry deposition plume depletion 0 000000000000000000 depletion O 0 000000000000000000 0000000 00000000 00000 00000 scavenging 00000000 EPA 3MRA OOO 8 17 000000 OO 2 000000000000000000 EPA 2003 7 http www epa gov scram001 dispersion_prefrec htm aermod D U This folder contains the evaluation databases for the AERMOD dispersion model dated 02222 Each subfolder contains the raw inputs and outputs for AERMET AERMAP if applicable BPIP if applicable and AERMOD A separate subfolder containing the observed concentration data is provided Subfolders are also provided for other models included in the evaluation A total of 17 databases were used in the evaluation of AERMOD The databases and their role within the AERMOD performance evaluation are identified below AGA Flat Rural Downwash Independent Alaska Flat Rural Downwash Developmental Baldwin Flat Rural Non downwash Independent Bowline Flat Rural Downwash Developmental l ndependent Clify Creek Flat Rural Non downwash Independent DAEC Flat Rural Downwash Developmental EOC
55. 0000 111000000 0000000000 00000000000 0000 1000000000 121000000 10000000000 000000000000 000000000 00000000 000 0 0 0 000000000000 000 AERMOD 000 00 00000 131000000 0000000000 00000000000 0000 09 0000000000 0000000 00000000 140 00 000000000 00000000000 0000 000000 00000000 U D uuu 150 000000 HSU 5 5900000 000 PRIME 00000 1 D uuu 00000 1 D uuu 0 Huber Snyder 0 Scire Schulman 8 13 000000 85 150000000 115000000000000000000000000000000000000 0 00000000000000000000000 86 000000 2005 0 0 0 00000000000000 0 00000000 0000000000000000000000000000000 0000000006000 0000000000000000000000000000000 00000000 00000000000000000000000000000000000000 AR C S REI E S DA CN IA us 15 0 11111111111 1 1 00 1 1 0000 ISC PRIME 0 0 Schulman et al 2001 0000000000000 ue were sue EE E B B E ETE 000000000000000000000000000 15 0000000 AERM OD AMS EPA Regulatory MODel EPA 2005 1
56. http www epa gov ceampubl mmedia 3mra index htm EPA AERMOD USEPA http www epa gov scram001 dispersion_prefrec htm EPA HHRAP USEPA Human Health Risk Assessment Protocol for Hazardous Waste Combustion Facilities Final EPA530 R 05 006 Office of Solid Waste and Emergency Response September 2005 http www epa gov epaoswer hazwaste combust risk htm 19990000000 Irwin 2002 J S Irwin A Historical Look at the Development of Regulatory Air Quality Models for the United States Environmental Protection Agency NOAA Technical Memorandum OAR ARL 244 NOAA June 2002 Jampana et al 2004 Jampana SS Kumar A Varadarajan C Application of the United States Environmental Protection Agency s AERMOD Model to an Industrial Area Environ Progress Vol 23 No 1 pp 12 18 2004 Kumar et al 1993 Ashok Kumar Jie Luo amp Gary F Bennett Statistical Evaluation of Lower Flammability Distance LFD Using Four Hazrdous Release Models Process Safety Progress Vol 12 No 1 1 11 1993 Kumar et al 1996 Ashok Kumar Ravindranath Madasu amp Ajay Manocha Health Risk Assessment for Toxic Emissions from a Manufacturing Facility Environ Monitor Assess Vol 42 211 228 1996 Kumar et al 1999 Ashok Kumar Naveen K Bellam amp Anupma Sud Performance of an Industrial Source Complex Model Predicting Long Term Concentrations in an Urban Area
57. 1 Samoa Hawaii Aleutian Alaska Pacific Mountain Central Eastern Atlantic UTC Coordinated Universal Time 2 00000000 gt 0000000000060 7 3 00000 Stack IB uu Wnd dir 0000000000 A ag Wath 17 Wath 27 000000000000000 00000 Guster type 0000000000000000000000000 Stack transl X y 000000000000000000000000 Vert param 1 G2 00 0000000 0 2 param GyU G2 0000000000000 Vake w nd factor 00000000600 ag 17605 7 0000 0000 00000 00 100000000000000 20000000000000000000000000000 3000000000000000000 5 5 1000 400000 5535000 3 0000000000000 0000000 gt 0000 C gt DDD gt 00000 000000000000000000005 000 0000000000000000 Descri pti on 0000 StackTi p 00000000000000000000 Pl une Rise 00000000000000000 Erhssi orf Exit velocity 000000000000000000000000 Gas vol une Exit tenp 00000000 000000000000 et nfos 50 0000 9 0 090000000 000000000 00000 000000000000 Year Mort Cay Hour 000000000 0000 Wnd di rg Wnd Speed 1 000000000 Stability Tenperat ure 000000000000000000000000 0000 Stack IB Wnd dir building _Ist txt
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60. 7 3 2 19 000 3 2000000 43 0000000 00000000 0000020000000000000000000000000000 0 000000000000000 0 00000000000 0000000000000000000000000000 al19820 00000 431000000 00000000 Trapp et 19990 McLachlan 2000 0 00000 00 000 00000 0 00 00000000000000 43 2 Risk Leaming 00000000000000000000000000000000000 0000000 0000 D Es 00000000000000000 Briggs et 1 1982 0000000 0000 D E6 2800000000000000000000000000000000000 500 0000000000000000000000000 b 000000000 bl 00000000 00000000 2 0000000000 LU uuu al 82 1100 a3 beg 000000 000000000 bp 000000 weathering 00 000000000 ap 0000000040 0000000000 0
61. CRM 2005 lt DEPso 0000000000000 dMs dt Is s x du k x a k k x dus Riad x Ms msi U 00000000000 ISU U 0 O 00000000000 00000000000 0000000000000 50000000000 00000000000 0000000 ka U D D D LI 00000 0 33 0000 0 27 OCso 0000000000 0 022 DENso 0000 g cm3 1 6 0000000000 1 p 00000807000 ul 0 73 day a F ku x kie 2 k 8 lt 0000 00 0 0 0000 0 000 0000000 000 1500mm y 1 40 8000 160 kr 3 8x 1070 day EX 3 2 15 000 32000000 4 2 2 000000000000 A 10000 U 00000 0000000000000 0 000000000000000000000000000000000 0000000000 000000000 OC mg kg 00000000
62. 54 0000000 GEP Good Engineering Practice 5 1 00000 000 0000000 0 0000000000000000000000000000000000000000 000000000000000000000000000000000 510000 METFLISpO000 0000000000000 00000000000 00000000 0000000 000000000 00000000000000000000000600 000000 00000000000000000000000000000002000000000 0 0000000000000000000000000000000 52 0000000000 0 0000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 00000000000 00 20000000000000000000000000000 0000000000000000000000 0 0000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 000000000000000000000000000000000000 0 0000000000000000000000000000000000000000 0000000000000000000000000000000000000000 00000000 000000 2000000000000000000000000000 0 00000000000000000000000000000000000000000 00000000000000000000000000000 LEV Local Exhaust Ventilation 00000 00000 0 0 000 0 00 000 0 0 0000 00 00 0 00000 000000000 00000 1 0000000000000000000000000000000000 0 0000000000000000000000000 10000000 000000000000000 20000006050 9 0 1 91000000 1 000000000000000000000 00000000 0 000000000000000000000000000000000000000 0000 5 2 00000 Lb x A
63. 7 4 3 3 5 0000000000 32 0 0000000000000000000000000000000000000000 0 000000000000000000000000000000 0000000000 000000000000000000000000 000000000000000000600 10000000000000000000000 00000000000000000000 0035000 000 1200 0 00 0000000000000 000000000 1501 0 00000000000000000 000000 000000 kg day 0000000000 OOOO000000000000 1111 11 11 11 11 11 111 0000 0000000000000 000 kg 00000 m OU 00000000000000000000000000000000000000 0000000000000000000000000000000 0000000 a 0 00000000000000000000000000000000000000 a RA AA 000000000000000000000000000000000 CRM websitel 200600 0000000000000 0000000000000000000000000000000000000000 8 8 6 0000000000 0000000 00000000 CRM website
64. _ _ _ 10 000 0090000000 T V 1 000 gt 5 y d y c 100 0 100 sl 24 E 10 60 100 1000 ecg ISC Model METI LIS Model 8 5 000000 8 2 200000000000000000000000 METI LISQ 15 0 00000 00 000 000 00 0000 Millstone 000000000000 000 1950000000000 0 0 56 0000000000 350 800m 100017 36 1150000015 00000000000000000000000000000 0 0000000000000000000015 0000000000000000000 150000 15 00000000000000000000000000000 0000000000000000000000000000 00000000000000000000000000 115 0000 156000 000000000 100 0000 0000000 00 00 0 00 0 00 000 00 00000 50000 11 gt O 22 5 0000000000000000 e pego ooo 0000000000000 00000000000000000 00000000000000000000000000 C C 0 61xC 0 61x dd 1 0 61 0 61 0000000000 000 99000000000000000000000 9 0000000000000 5660 000000000000 00 4 9700 98m 0 D 0 2 40 000000000000000000000 5 60 0000000000000 po0000000 0
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66. EAE DONE WEEE O FERE BE HS 1101111011 111111 Child specific exposure factors handbook http cfpub2 epa gov ncea cfm recordisplay cfm deid 55145 ExpoF act sourcebook 8 8 7 5 L1 0000000000 3 0000000 00000000000000000000000 00000000000000000000000000 9 001000 2000 t 10000000000000000 AGp t 000000 2000 10000000000 0 000000000000000000000000000 0 00000000000000000000000000000000000 U Microenvironment EPA children s health 00000000 00000000 000000000000 Microactivity 0 0 macroactivityQ O 00200000000000000000000 E C Hubal 0 2001 0 00000000000000000000000 0000 2005 Sakamoto et al 2005 9 0 0
67. 000000000 0000 5 000 5 00000000000000000000000000000000000000000 0 00000000000000000000000000000000000 000 2000 2 10 000000000000 00000 1500 0000 0000 0 00 50000 00000 0000 0 O 000000 mi 00000 Om 00000000000 0000 000000000 000000000 0000000 00000 00000 00000 1000000 000 00000 000 0 0000000000000000000000000000000000000000 0000 0 4 5 0 00000000000 00 5 50 0 175000000 75000000 1100 2 16 000000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 0000000000 000000 3 1 0000 3 2 0000000 3 2 1 00000 3 2 2 33000000 34 3 1 000000 000 000000 00000000000000000000000000000000000 000000000000000000000000000000000000000 3 1 0000 000000000000000000000000000000000000 00000000000000000000000000000000000000 32 0000000 000000000000000000156 0000000000000000 0000000006000 000000000000000000000000000000000000000000 0000000000000 00000
68. 000000000 1997 2003 0000000000 00000000000000 0000000 0000 0 20080 120 00 2004 00 00000000000000000000000000 0 1 390 No 3 107 118 2004 0000000 0000 000 1993 000000 000000 00000 0000000000000 19930 90 2006 000 0000000000000000000000 0 9006 18 21 Bidleman 1988 Terry Bidleman Atmospheric processes Environ Sci Technol Vol 22 No 4 361 367 1988 Bidleman et al 2000 Terry F Bidleman amp Tom Harner Sorption to Aerosols Chapter 10 pp 233 260 in Boethling et al 2000 Boethling et al 2000 Robert S Boethling Donald Mackay eds Handbook of Property Estimation Methods for Chemicals Environmental and Health Sciences Lewis Publishers Briggs et al 1982 G G Briggs R H Bromilow amp A A Evans Relationships between Lipophilicity and Root Uptake and Translocation of Non ionized Chemicals by Barley Pest Sci Vol 13 495 504 1982 CRM website http unit aist go jp crm http unit aist go jp crm mainmenu 1 html 2006 00 000 2000000000000000 10 20060 0000 0000 EC 1996 the European Union System for the Evaluation of Substances December 1996 RIVM available from EC JRC Ispra Italy EC 2003 2nd Edition
69. 20 00 0000000000000 0000000 O300000000000000 bed 00000 O4O000000000000000000000 000000000000 Cao Caov Caop EX ES 3 E Ed OE 4 4 4 1 OO OO E E 4 gt E 3 2 38 000 3 20 00000 1 1111111110 01 111 1 MAME ES 58 14847 ES ES Lift 8005 tt 580 0885 AULD EE 05 KOE MR HR tif RE AGRI DARE BARR 58 ERRER BERRA 2 98 KFO weathering rate 3 2 39 000 3 20 00000 0000000 00000000 00000000000000000000000000000000000 000000 002000000 000000000000000 0000000000000000000 Rikflemgo 0 00 0000000000000 00000000000000000000000000000000000000000 0 000000000000000000000000 00000 0 0000000000000000000000000000000000000000 0 000000000000000000000000000000000 00000 0 0000000000000000000000000000000000000000 0 000000000000000000 leachingQO 00000000000 00000 00000 000002000000000000000000000000000000 0 00000000
70. RIVA 6 11 HRO EBRO MA ONI AY p 88 AIA 6 24o5252 2002d 1 8100 LEAL H mL i H ii 180 WEAK 220 AA 2002 BEEN ug L E w TE MALO PRIM fal day 5 HA 2002 PC EIB RA 63 BARTHES 1999 EFL I gt OTH LI pg L E 0 9 itf 5 1998 ITT ug m MAS 2001 2 g m 48 0 0 028 FAEM 20028 4 Uf s m day AROMA E L THR Travis 1987 A E E E 90 gt 1998 RHO MA E KE 10 2 1 Biz 100 MOUTHING NR min Y 739 2000 32 9 MOUTHING 5 amp 50 BPA 53565 2 09100 36 BH 1 0p 0 1400162 992211194 2000 5 36 1 5 10 185 2001 g day E 300 RARPRE ug kg 0 MAS WI 1999 EE kg Hern RHF 891 MERWE 001b o 1 11 n n 4 kg HAER AE 8 25 1 41 2006 00000000000000000 000 1000 0000 000000000000000000000000000000000 00000 00000000000 000000 Exposures Factors Handbook
71. X yenen is 00 gt 0000 gt 00000 mum 3 3 19 0000000000 00000000 00000000 00000000000000000000000000000000000000 Intake 00000000000000000000000000 0000200000000000 000 OO000000000 11111111111011111111111111111111111010111111111111111110111111 000000000000000000000000000000000000000 2500000000000000000000000 898 00000000 0000000000000 ADME 0000000000 20000000000000 0 000000000000000000000000000000000000000 EJES ea Eee 0100 10000000000000000000000000 E E E EE E EET o Tg BE 44200000 0 0000000000000 5 U in e BIO e BIO 1 der pot der oral e BIO oral EUSESPDODODO Dd 000000 000000000000 00000000000 C X IH a BIO Wn BW BIO Dose oral
72. 000 000000000000000 0 000000000000000000000000000000 150 WE ONE BBE WEEE BBE BOB UNE Ey BEE UNE EEE NEE ERE BBB OE 0000 WEEE eae uy Ey Beep BEEBE EEE EEE EE EE ne Bsa Bp eee oa O 0 0000000000000000000000000000000000000000 111111 0 000000000000000000000000000000000 0 0000000000000000000000000000000000000000 a 78 6 2 0000 00000 0000 00001 20013 2 00000 00000000000000000 Q y He z He 1 gt 9 x 7 2 270 O ed 26 Je 26 25 00000 0000000 00000000 6 5 20 0000 a He V x u 2 He V x u 2 9 2 26 20 20 ada 2 V x lo x do 00000 He 00000 000000 0000 00000 000 00000 0000000000 2510110 0000000 1 0m 1 0m 6 3 0000 62 00000 000000000000000 5021 000000000000000 0 00000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0 00000000000000000000000000000000000000000 0 000000000000000
73. 11111 1111111111111 41 MRA DOCS verification 000000000 1000000 4000 2003 val 000000 0 000000000000000 2 verification ensuring 000000000 3 validation 00000000000 0 0000000000 0 00000 000 000 400000 000 5100000000000 6000000000 Naomi Oreskes Kristin 000000 0 UU 0000000000000 Oreskes et al shrader F rechette verification verificationg OO 000 1994 Kenneth Belitz validation confirmation 0000 incomplete 00000 Dartmouth College verify validate 8 26 000000 000000 validation legitimacy 0000 001 confirmatio 000000000 0000000000 probable 0000000 FB Fractional Bias gt 00000000 bootstrap 0 factor 00000 0000 0 00000000 000000000000000000 000000000000000000000000 verification Q validation QQ 000 ASTM verification 000000000000000 000000 validation 0 0000000000000 D verification true 1994 Oreskes et al validation 0000000000 000000000000000000000000 000 8 27 000000 8 28 000000000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersio
74. Dose T ppa v BW BW VP CONjunge x SURFaer kg 9 172 DILE 0609886883 FP rg kg day ng day unge 0000 0000 6 2 23 000 32000000 Of HHRAP 2005 EPA HHRAP 1 00000 1 6 30000000000 00000 530000000000 00000000 5140 00 00000000000000000000 90000 000 00000 0 80 0 0000000000000000 10000 0000 0 200 0000 0 60000 8900000000000000000 00000 000 0 0 0 0 lo 510 0000000000 Yo 00000 MRA 2003 EPA 3MRA 0000000 Farm Food Chain 0000000000000 0 000000000000000 9000000000000000000 i 000 000 00000000000000 0000000000000
75. 0000000006000 8 14 METI LIST 1 1 000000 METI LISO OO U D uuu 0000 00000000 0000000000 0000000 000 000000000 00 00000000 0000000000 000 000000 000000000 0000000006000 OU 00000 0000 OU 1100 0000 0000 156000 000000 ISC PRIMEDODODO 0000 0000 0000 000000000 1 111000 0 7000 00000 00000000000 00000000000 0000000 00 U D uuu 8 15 000000 OU 0 OMRAQ 1560513 EPA 3MRA 00000000 verification 0080000000000 validation 0000000 1 00000000 A 2 15 5 3 0000 verification 00000000000 1979 1 2002 00000000000 1992 00 ISCST2 1989 0 00000000000 U finite line source 0000000 1992 AREA STO U U U integrated line source 1994 gt 000000060 dry deposition plume depletion DEPST I UI U U 193 0000 0000000000000 0000 terrain 0 wet deposition 00000 0 regiong O AREA ST 15 0000 COMPLEX OOO Strimatis 1993 0 ISCSTDFTO OO COOO 000 60 8 40465 1995 8 90 ISCST3Q 0000000 promulgate Hazardous Waste Ide
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78. 100000000000 00000000 0 0000000000000000000000000000000000000000 0 000000000000000000000000 15 00000000000000 0 0000000000000000000000000000000 1500000000000000000000056 71000000000 0 000 00000000000000000000000000000000000 156 1 0008 16000000000000 0000000 0000000000000 2000000000000000000000 OU D D 00000000 000 20017 0000000 p 56 1111 z 00000 60000000 1 5 1 826 THO y Me K lt EDO PA 7777p 77 224 1510000000000 V p 48 00 Q 7 He z C x y z 270 00 ed 20 Je 09 ISCST 1 1 l METI LIS ISCLT 0000000 0000 0000 gt 60 HIHHH O00000 00000 49 48 00000 p 12 00000 00000000 od 0000 0000000 0000000 Oz 0044400004 0 0000000000 2 2 10 16 16 e 0 8 4 3 00000000 43 0000000 0 00000000000000000500 1900 60 0000000000000000 0 000000000000000000000000000000000000 000000 0 0000000
79. 62200000000 623000000 900000 0000000 7110000000000 7 2 000000000000000000000000000 Iul 1000000000000 0 Ig 2000000000 000 000 0 000000000 0 m 000000000 00 uuu 4 0000000000000000000000000 0 Oo 150 00000 000 0 0 0 0 000000000 31000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 0 0000000000000000000000000000000000 0 00000000000000000000000000000000000 um 0000000000000000000000000000000000 10u 0000000040000000000000000000000000000000000 0 00000000000000 0 000000000000000000 0000000000000 00000000 000000000 1100 0 0 000000000000000000000 2 0 000000 10 10 1000 8 0 000040000000000000000 3 00 100 00000000 30000000000000000000000 10000000000
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81. 00000 000000000 0000000000000 0000000000000000 0000000 00000000 000000 0 00000000000000000 000000000000 8 12 000000 ISCST3 AERMOD EPA 3MRA Appendix A Side by Side Comparison AERMOD versus ISCST3 u ISCST3 AE RM OD version02222 0000 00000000 000000 000000000 210000000 10000000000 00000000000 0000 00000 Briggs 00000000 310000000 00000000 00000000000 AERMODO ODO 00000000 400000000 0000 00000000000 0000 500000000 10000000000 00000000000 0000 00000000 000000 60000000 000000000000 0000 00000 000000 1000000000 U D uuu 710000000 000000 00000000000 0000 0000000000 000000000000 0000 0000 00000 810000000 2000000000 000000000 Bowen AERMOD 0000 000000 000 990000000 0000000000 00000 000000 AERMOD 0000 0000 0000 0000000000 0 00000000 10000000 Holzworth 00000 00000000000 AERMOD OOO 1000000000006 000000000 0000
82. 1 EBD BE P 11 11 ks ksg kse ksr 881 ksv 000000002000000000000000 0 00000 D 2003 00000 0 0000 000000000000000000000000000000000000000000 0000000000000000000000000000000000000000000 000000000000000 900000 00 PRZM Pesticide Root Zone Mode 0000000000000000000000 0 00000000000000000000000000000000000000000 Ugg ng Dg gd Bang DE DE 3 2 18 000 3 20 00000 2005 0 LL IL IL D COPC Secrets CN d 4 00000 00000 y 4 OU i lt 2 00000 42966 n and Runoff and Volatilization OU Particle Phase Deposition 1 000000 I 0000000000000000000 5 2000000000 51000000000000000000000000000 5 1 000000000 0000000000 51800000 U 510 2193 050000000 00008000 0000000 U 51 TODO 2 000000 0000000000 51 RH EE BR
83. ES EE E DESEE T EET 0000000000000000000000000006000 0000 O EEE ESI r3 r3 EST D 121 ES ERE El EEE EET E EST 0000000000000000 00000000000 0000000000000000000000000000000 2005 68321 1500000000 2005 0 0000000000000 EP 00190090 00000000000000000 HE BR oie BE lB BE DE BE BIRD BEBE BG l 000000000 00000000000000000000000000 0000000000000 00000000000000 lt 3 000000000 0 00000000000 6 100000000000000000 1560000 220000000000 od RHF A B PEE E EP IP B OOO0000000000000000000000000000 EPAD 1 00000000000000000000000000000 1000000000000000000000000000000000 100000000000000000000000000000 sug HE slg Hug ER EH 0111 011111111111111411111111110 1 4 0000 Pre
84. a The use of stack height credit in excess of Good Engineering Practice GEP stack height or credit resulting from any other dispersion technique is prohibited in the development of emission limitations by 40 CFR 51 118 and 40 CFR 51 164 The definitions of GEP stack height and dispersion technique are contained in 40 CFR 51 100 Methods and procedures for making the appropriate stack height calculations determining stack height credits and an example of applying those techniques are found in several references 64 65 66 67 which provide a great deal of additional information for evaluating and describing building cavity and wake effects b If stacks for new or existing major sources are found to be less than the height defined by EPA s refined formula for determining GEP height then air quality impacts associated with cavity or wake effects due to the nearby building structures should be determined The EPA refined formula height is defined as H 1 5L see reference 66 Detailed downwash screening procedures 24 for both the cavity and wake regions should be followed If more refined concentration estimates are required the recommended steady state plume dispersion model in subsection 4 2 2 contains algorithms for building wake calculations and should be used 64 Environmental Protection Agency 1981 Guideline for Use of Fluid Modeling to Determine Good Engineering Practice Stack Height Publication No EPA 450 4 81 003 Offi
85. MZEL READY 7 FFUSI PARAMETERS A dg Wath 1 7 Wath 27 Hei ght RELATED TO BU LD NG DOWASH 7000 70 Guster type 00000000000000000 Stack transl X y Vert param 1 G2 Hriz param Gy w nd factor Bog ID Goerati on Samed 1115 27 00 1600 0000000000 op Rates at tine Allied lt 0000000 0000 h O Lid opl lt dh gt O O 0 0000000000000 000000 7 4 00000 00000 000000 000 Kg m3N 0 1 m3 m3r 0 0 0 O kg m2 s 0000000000000 0000 EXTREME WZ OLY VALI DATED H Conc 000000000000 0 kg m3N 000 A Y 4 podd00000Yo0 2000000000000 NTH 0 0000000000000000000000 VALI DATED Conc 00000000000 0 kgmsN 000 m3 m3 AHA 0090 0 0 0 0000 H pop0000000000 000000000000 Flux 000000000000 OO kgm2st 0000000000 0 7200000000000 000000000000000000000000 0000000000000 2 5 0000000 50000000 60000000 7000000 800000000000000000000000000000000000000000000000 00000000000000 Stability Code Table meteorology_st in csv meteorology_lt in csv 900
86. O workplace exposure TGD Chap 2 Appendix consumer exposure Appendix 1 indirect exposure via the environment Appendix p 252 0000000000000000 2003 o oO oO oO oO oO oO oO oO oO oO oO oO oO oO oO oO Intake 0000000000 Uptake 0 0000000000000000000000000 BIO ET U e BIO e BIO 1 der pot der oral e BIO oral 000000000000000000 0 0000000000000000000 90000000000000000000000000000000000000000 000000000000000000 DOSE Di pose DOSE x IH DOSE x BW BW DOSE i drinking water fish stem root meat milk 0000000 0 75 0 0 0 10 O 0000000000 00000000200000000000000000000000 0 00000000000000000000000000000000000000000 ONO O BW 3 3 14 0000000000 EC 2003 Technical Guidance Documents ch
87. RN AER TR DA RN nga Tg TH WDE DR Ng Tg Hd an HD Rn Ba 13 000000 111 8111111101 1111 11111111111101111010101111011111111111111111111011111111 O000000000000 eppad 010000 0 0 0 0 900000 1 2 0000 1 5 METI LIS 00 0101000000 9000000 AIST ADMER METI LIS EASE 00000 SHANEL Lunnnn PRZM 000000 MNSEM Fugacity Level III SirrpleBox SirrpleT reat 00000 00000 METFELIS FI 000000 000000 000000 Can 00000 0000 000000 0001 1 6 0000 1400000000000 DO DO DO DDD 000000 00000000 0000000000000 AISTADMER POD 0000000000 0000000000000 000000000 00000000000000000000000000000000000000 0000000000 0 000000000000000000000000000 000000002000000000000000000000000000200 1100 00000000000000000000000200000000 00000000 111 1111114141 BD BD EDD B EP EI E E EP DI Td DP S
88. 0 0000000000000000000000000000000000000000 0 000000000000000 27 000000 00 2 0 00000000000000 6 000 7000000000000 Oxy xy 000000000000000000000000000000 000 000 00000 lt 0 00000000000000 000000000000 00 000000000 00000 2 0 00000000000000000000 1 5 00000000000000000 000000000 1 5 0000000000000000000000000000000 0 00000000000000000000000000000000000000000 L1 2 10 000 2000 111111111 1 1 000000 000000 1 1 1 1 U U DD H 2 00000 H2 HO 0000 simple H10 HO H2 He Hut intermediate H2 complex 000000000 00000000000000000000000000 0000000000000000000000006000 0000 0 000 D 0000 l 00000000 e 00000000000 00000000000 00 000000 F 0000000 Im 00000 F def 0 0000 5 0 50000 1 0101 00000 0000 0000000 00 xy 0 0 0000 00000000 2000770 2000m 1 100m0 0 0 Im 21x 21 4
89. 0 0001 SO 810 POO SD ooo 8 S 5x 10 0 m2 m3 Sr 3 5x 10 0 1 5 10 6 cm2 cm 000000 5 10 9 em2 cm cm2 cm3 constant Junge l Junge constant 17 Pal cm 02 Pag m 1 7 10 4 atm cm 20 cml 0 8 1 5 17 10 6 Junge I O O Pal m Sr 1 7x 1070 x 2 55 10 5 Pal 0000 m2 m3 SO 0 0001 Pa 3 5x 1070 0 0 0001 000000 5 95x 10719 atm 000 Vp Pa VPI Pa VP Pal Pe DDD atm 0000000 00 et al 2000 Table 10 3 0000 20 00 00000 log Pa logKoa HCB 1 12 7 11 0 0014 Lindane 1 41 8 25 0 0028 p p DDT 3 58 10 29 0 29 PCB 2 2 4 5 TeCB 2 02 8 57 0 011 2 2 3 4 4 5 5 HpCB 4 18 10 75 0 62 PAH Fluorene 0 10 7 04 0 00014 Anthracene 1 25 7 94 0 0019 Pyrene 2 09 9 04 0 013 412 a E 1100 0 0000 0000 000 32000000 0000000000 20000000000 0000000000000000000000 depletion 00000000000 000000000000000000000000000000000000000 00000000000000000000000000000000000000 washoutQ 1 00000000000000 0000000
90. 00 2001 po 24000 7 00000000 wakeD D D tii b RAC ES 8108 wake 0B 5 Schulman et al 20000 ISC PRIME 000000000 4H 2H 0 2H 4H 6H 8H 2005 000 00000000000000000000 5 8 00000 53 0000000000000 pagada 000 0000000000000000000 0000 w 0000000000 00000000000000 000 OOOO 0 0000000000000000000000000000000000000000 0 0000000000000000000000000000000000 000000000000000 WbHb 0 00 000000000000000000000 e 0000000000000 EET 111 00 23500000 ZsHbz 25 000000000000 000 000000 0 00 00000 22 0 2 85 0000 O 25x OOOO 0000000000000000000 00000000000000000000000 0000000 08600000000 HuberSnyderB 0000000020000 000000000000000037570 1000000000000000000000 0000000 00000000000000000000000000000000000000000 00000000000000000000000000000000000000000 0000000000000000000000000000000000000000
91. 00000000000000000000 150100 0 156000000 000000000 00000 1 15 00000 115000000000000000000 2100000000000 900000000000000000000000000 115 000000000000000000000000 000000000 0 00000000000000000000000000 9 step Stack 0000 gt 80000000 000 150 0000000000 000000000000000000 9000 000000000000000000000000000000000 7m 00 ISC METI LIS 0 5320 46 8 1 3640 92 4 r 0 430 r 0 635 UD 0 591 36 9 y 1 1149 101 5 r 0 521 r 0 634 009 0 5620 39 3 y 1 1419 83 2 r 0 436 r 0 628 000 0 6470 49 0 2 678 160 0 0 495 0 602 y 0 546 34 9 y 0 969 114 2 r 0 563 r 0 631 0000000 20011 000000000000000000000000000000 00000000000000000000000000000000000000000 0000000000000 1100 4 11 115 0100 15 000000000000000000000000000000 8 4 000000 00000000 0000000 eno d j 5 8 B 1 1 T pem 4 13 ISSN 0000000000 uU 00000000000 0000 GEP Stack m o O00000 40 x OOOO 50 O 50 x 30 e O 57 5 00000 ISC METI LIS y 0 545 349 09502 1142 0 563 08
92. 1 s mm hr x mm hr 00 00000000000000000 1995 ISC guide Il fig 1 11 00000 0000000 ADMER METLELIS OO o PER D depleting 000000000 12657000 Cair 000000000000000000000000000000000000 0 00 2005 0 00000000000 0000000000 EUSES 000 00000000000000000000000000000 OPS Toet 81 1992 ER ER LARA CI UAR A CIL BEE RA DN RAO CECI E RD OD USES 0000000000000000000000000 00000000000000000000000000000000 02004 0 000 3 2 12 000 3 20 00000 00000 1995 0 O Wet Scavenging Rate Coefficient 10 s mm h 8 e o o 4 00000000 010 14 000000000 2 2 0 0 1 1 10 100 Particle Diameter microns FIGU
93. 2 25 20 20 2 atn V V uHe V x x 40 dx 000 0000 0000 000000 00000 20020 n ADMER OOO 0 00000 gm 00000 i 1100 RT H PVOORTOO Pa mismo OOO 000000 0000 0 00000000000000000000000000000 D At 1 sec D 96 OOOO At gm 00000000000 00000 kwe 0 OOO x 0000 000000 m sec DO secl 1997 221 5 5 Tayta DIRA 6 2 11 000 32000000 1995 ISC guide p 1 589 OOOO Dydp dry deposition velocity 000 flux Vd mg m 7 s mg m x m s 000000000000 Ve 184 1 1 0 1 1 000 ra s cm 1 81 1 82 000000 rd scm 1 83 00000000000000000000000000000 00000 lt 0 0 OOOO 00000 ms 900 00000000000000000000 0000 MPRM I H D U 01014 40000000000 8 00000000 000000000 particle 0 00000000000 1110 530000000000000 30 0000 kgmyr 0000 000000000000 scavenging rato flux Fw x y scavenging ratio x 0 mg m s X mg m x m scavenging ratio A scavenging coefficient D R 8
94. E ES E Et Ey EE O 0 0 1000000000000000000000000000000000 000 0000 100 0000 poo 00000 D 1600 0 1 5 1 0000000000 OO 100 20km 000000000 0000 00000 ER ETE EB EET B EET B 01000 1111 0000000000000000000000000000000000000000 4 10 00000000 000 UD 0000 3 0000 000 5kmg OO ref 0000000 00600 0000 0 1m s O O O 11500000000 O 51 100 gt Os 1111111141 10m LH 000 EGP bs UUUU 00000000 111 114 11 1 01 us E E p 32 5 0000000 5 gt 000000 s Briggs ST E B UI DB D 0000 U Ds 0000 gt 00 Ue ge CONCAWED 0 0 H or O O OC 4 11 00000000 000000000000000 n 0001 poo 1000000 000000 10000 x6 00000000000 0001 0000000 00000 000000000 1000000000000 Skm 0000 0000
95. Environ Progress Vol 18 No 2 93 100 1999 METI 2005 00000 web site http www meti go jp policy chemical_management law prtr h15kohyo shukeikekka htm Oreskes et al 1994 Naomi Oreskes Kristin shrader Frechette Kenneth Belitz Verification Validation and Confirmation of Numerical models in the Earth sciences Science vol 263 641 646 1994 can never be validated Patel et al 1998 Vrajesh C Patel Ashok Kumar Evaluation of Three Air Dispersion Models ICSCT2 ISCLT2 and SCREEN for Mercury Emissions in an Urban Area Environ Monitor Assess Vol 53 257 277 1998 Riswadkar et al 1998 Raj Riswadkar amp Nik Mukhopadhyay RMP Hazard Assessment for Compliance wit EPA s Risk Management Program Regulation Oxychem s Experience Process Safety Progress Vol 17 No 4 272 277 1998 Ocidental Chem Corp Schulman et al 2001 Lloyd L Schulman David G Strimaitis and Joseph S Scire Development and Evaluation of the PRIME Plume Rise and Building Downwash Model J Air amp Waste Manage Assoc Vol 50 378 390 2000 9 8 000 3 20 00000 000000000 41 0000000 411 00000000000 412 0000000 42 0000000 491 0000000 422 000000000000 A 0888000000 B 43 0000000 4 31 1 1 1 0 482 5 6 Leming EUSES EPA 44
96. _ y He V xlu zy td E 26 pl une rise m Y 500000 m 2 fis 20000 m 5 El 1 0 1 0 cen ed 20 Jem 20 00000000 00000000 I 20000000002 E lt 8 40000000 5220000000 4220000000 540000000 0000000000 0000000000 0 000 5 4 001099000 ms Y 00000 Pasquil 00000 Pasquill Glifford 465 11628 x x x tan TH 0 00000000 m TH 0 017453293 c dxIn x 0 Oy 0 00000000 4 00008 200 000 eres 000 0 Conon 00009 0000 w 0800000 000000 a L min H W 0000000000000 00 000 xa 00000000000 wn 988 000 00000000 0000000000 00 00 000 00000 00000000000 000 0 0000 00000000000000 0000000000000 0000000000000000 OOO 00000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 000 00000 71 72 0000000 73 000000000 74 000000 75 00000000 76 1 00000 000 00000 0 0000000000000000000000000000000000000000 00000000000000000 15 0000000000 71 0000
97. to Soil to Plants LA 6 pa i T unos Tangloealion to 1 etie Perts Figure 10 2 Release exposure and uptake mechanisms of contaminants 18 plants ight Cair apor 5 ne ECF ul Pts I U OO 1000 Cplant_vapl 10 Img kgpw u g m BTFai pasd 00 100000 biotransfer O O Iu eg gowlO u g g air p 1 19 g L 0000000000000000 BTF iotransferg 0 log Bvol 1 065 log Kow log 1654 00000000000 H RT 3 2 25 000 3 20 00000 44 0 00000000 0000020000000 Travis Arms 0000000000 logBTF 000 00000000000000 00000 gt 000000 00000 00000000 6 00000 0000 00000 000 0 gt 000000000000000000000000000000 log BAFmilk 8 056 0 992 x log Kow BAF x 26 x IC 0 000000000000000000000000000000000 ICi O O O kg day L day m dy00 0000000 00 000 000000000000 log BAFmeat 7 735 1 033 x log Kow BAF yea x gt x IC 00 000 Mws7000 00000000000000 0000 logKow 60
98. 0000000000 000 7 7 2 7 3 7 4 7 5 7 6 000 8 1 8 2 8 3 8 4 8 5 8 6 El EE ESI 000 0 0 000 31000 00000 0000 0000000 000000000 000000 000000 0000 METI LIS 15 1 1 LJ 0 8 2 1 00000000000 82200 00000000000000000000 15 000000 8 3 1 0000000 156000000 832 0000000000 15 0000000000000 AERMOD 1563 ISC PRIME AERMOD 115 0000000 utu OO 1505 3 00 02 000000000000000000 81 000000000 15600000 8 2 156000 8 3 ISCST3 vs AERMOD METI LIS 8 4 000000000000 8 5 verification validation 000 0000 00000 000000 000000 Stack Height 00000 000 0 4 000 31000 00000000 O O O 20033 DO DD 00000000 MD 0000000000000 00000000000 500000000000000 000000020000000000000 00000 00 0000 1111111111111111111111111111111111111111111111111111111111111111 1 00 0000600000000 111111111111111111111111111111111111111111111111 1 00 000000000 11111111111111111111111111
99. 0000000000000 Mcekoxeep 000000000000 EEE ET E EE E fishing farming WH aH agg mo UH Baas gg Dawa ge ag Bd 0100009 B EE E ERE E E EE C E gardening 0 activity 3 3 16 0000000000 EPAGMRAJ 0000000 000000000 y saya 000000000 0000 0000 0000 00000000 Waterbodies Streams Lakes and Wetlands EMs Reach Files GIRAS NWI 2kmr 0 ceils 2 km radus AQ 100m 100m Vadose zone Aquifer OMRANOHOOO Receptor Type e E E eee Resident Home Gardener Beef Farmer Dairy Farmer Pathway Resident Fisher Gardemer Fisher Farmer Fisher Farmer Fisher Air inhalat
100. 0000000000000 00000000000 AERMOD DD 0000 000000000 0000000000000 000 00 00000 1565130 000000 000000000 1000 i 000000000 0 000000000000 0 0000000000 0000000 AERMOD 00000000000 000000000000 0000000000000 0000000000000 000000000 00 1565730000000 0000000000600 14100000000 00000000000 0000000000600 SCST3 00000000 000000 0000000 00000 151 0000000000 Huber Snyder 0 OOO 0000 AERMOD PRIMEQQ 0000000000000 SdreSchulman 0000 00000 000000000000 00000000 0000000006000 8 24 000000 00 0 0 000000000000 000 00 1 U D I 0000 000000000000 00000000000 ASTM 2005 Irwin 54 0000 00000000000 0000000000 D 6589 05 evaluation metrics methods bootstrap OOOO Oreskes et al 000 G verification 00000 can never be validated 11111 1111111111111 41 MRA DOCS 0 verification 000000000 1000000 4000 2003 lU 0 2 verification ensuring 000000000 3 validation 00000000000 validatioogOOOOOOOOOO 00000 000 000 00000 400000 TRIMO 000 500000
101. 00000000000000000000000000000000000000000 3 2 20 000 3 20 00000 0 000000 20000 00 000000000 DO BO gd ODO dd DO O O K p 25 C V V Ky K 00000000000 00000 1 00000000000000000 Kal Rik Learing bp 130 p 00000 b2 000000 a al DH 82 ap ala2ap 00 0000000000 0000 3 oo 0000000 000 89 1 1 00000000 5 Cw p gL RCFw d Cr pu g kg RCFs L kg Fw 0 82 0 77xlogK 1 52 Cr RCFwx Cw 000 log R
102. 3 20 00000 0000000 DD 0000 000 00 0 000000000 0000000 0000000 00000000000000000 Rik Laming 0000000 00 000 0000000 ADMER METLLIS Trapp amp Matthies Rik Leaming 00 00 USES 0 D EUSESO 00 0 0 0000 UUUU U U 0000000 M f Cal Tox Rik Leaming 000 MNSEM Simple Box 00000 SimpleTreat 0000000000000000000 0000000 0 000000000000000000000 1 3 2 5 0 e depletion e el 000 32000000 000000000000000000000000000000000000000 0010 0000000000000000000 000000000000000 000000000000000000000000000000001979 00000 D Junge 0000000000000000 0 000000000000000 deposition 0 000000000000000000000000000000000000000 00000000
103. 51 Li L b W W xcos L x sin 0 w W 0 0 05000000 0xH d lt 00000000 6 gt H W W D c H H 000 D gt 0 36 c oorn H 0000 lt 0 0 791 6 4 oas 190 H H 0000000000 005 45 Hs 05000000 00000 0 H 00000 es Cs 0 0 0150 000 Cup 0 00698 00000 p44 553 4 000 009 000 0050 Oso gt 00000 2429x10 N 7 86x10 N 0073 0 039 0000000000 9095 6 a 00000 Hs 0 Hs C 20 p 000 1 0 01498 C20 1 0 0199 5 12 00000 000000000 0000000 n 00000000000 D ms 5 0000 Os 000000 H hlH 00000 000 D 00000 D Hg W W w Z d V 0 61 0 6 000 1050 w 110 2 H 200 H oy 1 0 0130 2 21007 0000 q y 044 0007070054 dy 0 66 b g0 0 076 N 1 000 ay 1 0 0530
104. of the Technical Guidance Document TGD on Risk Assessment of Chemical Substances following European Regulations and Directives European Chemicals Bureau ECB http ecb jrc it tgdoc EC 2004 EUSES European Union System for the Evaluation of Substances version 2 July 2004 http ecb jrc it existing chemicals ECETOC 1994 ECETOC Technical Report No 61 Environmental Exposure Assessment EPA 1995 USEPA EPA 454 B 95 003a User s Guide for the Industrial Source Complex ISC3 Dispersion Models Vol II Description of Model Algorithms http www epa gov scram001 userg regmod isc3v2 pdf EPA HHRAP USEPA Human Health Risk Assessment Protocol for Hazardous Waste 3 2 36 000 3 20 00000 Combustion Facilities Final EPA530 R 05 006 Office of Solid Waste and Emergency Response September 2005 http www epa gov epaoswer hazwaste combust risk htm 0000000000000 000 finalize 199900000000 EPA 3MRA USEPA Multimedia Multipathway and Multireceptor Risk Assessment 8MRA Modeling System http www epa gov epaoswer hazwaste id hwirwste risk03 htm vol1 Junge 1977 C E Junge Basic Considerations About Trace Constituents in the Atmosphere as Related to the Fate of Global Pollutants pp 7 25 in I H Suffet ed Fate of Pollutants in the Air and Water Environments Part 1 Mechanism of Interaction Between Environments and Mathematical Modeling and the Physical Fate of Pollutants John Wiley am
105. over the 24 hr period is the sum of all of the me ma exposures 1 0 0 0002005 52 T EY 5 8 gt gt 0 00 0 OUOU 000000 00000000000 000000000000000 AL ASEM 000000000000000000 000000000000000000 00000000000000 000 gt 00 00 00 00 00 8 8 9 0000000000 000000 000 0000 0000 0000000000002000000000000000 00000000 20000000 0000000000000000000000000000000 0000000 00000 x In mg day 00000000000 gt mg kg 0000 mg m 0000000000 In kg day 1992 000 030000800000 6000000000000 rin T2000000 0000600000000 Dpot C t x In t dt 00000000 C0000000 000000000000000000000000 CoO 00000000 Dpot C x Inx ED 00000000000000000 BW D B B B S r BWxAT 1 0000000000 LADDpot C x Inx ED BWxLT e 0 0000000000000000000000000 AFDUDU ADD int AF x ADDpot LADD int AF x LADDpot GOO000000000000000000000 00002000000000000000000000000000000000 00000 5 00000000000000000000000 0000 0 0000000000000000000000000000000000000000
106. p3100 00000000 000 1998 00049990900 p 157 00 00 000 000 O00 2005 00000 000 00000 00000 000000000000 0 00000000000000000000 0000 400 O 60 221 237 2005 1997 00000 0000000000000 000000 19970 1990 gg 0 0 1 260 1 8 1990 2006 00 METFLISIT CRM 2006 pp 60 61 2000 2006 18 21 Abdul Wahab 2003 Sabah Abdul Wahab SO2 Dispersion and Monthly Evaluation of the Industrial Source Complex Short Term ISCST32 Model at Mina Al Fahal Refinery Sultanate of Oman Environ Manage Vol 31 2 276 291 2003 Abdul Wahab 2004 Sabah A Abdul Wahab Evaluation of the Industrial Source Complex Short Term Model dispersion over terrain Technical Paper9 J Air amp Waste Manage Assoc Vol 54 no 4 396 2004 ASTM 2005 ASTM Standard Guide for Statistical Evaluation of Atmospheric Dispersion Model Performance Designation D 6589 05 October 2005 Cheng 2001 Wan Li Cheng Spatio Temporal Variations of Sulfur Dioxide Patterns with Conditions in Central Taiwan Environ Monitor Assess Vol 66 77 98 2001 CRM 2005a 0000 000 METLELIS ver 2 0000000 20050 110 100 CRM CRM 2006 0 0000000000000000000000000000 000 0000000 2280
107. 0 15 00000000000000 dina ao o ung 8 2 000000 0000000 2001 000 2001 000 000000 0x00 0x00 00000 00000 e 0 00 0000 0 000000 000 15 METI LIS 5x7 2 Oooo 10000 100000 A x i gt gf 4 som uma gru 1 E 00 15 15 AU U U y 0 340 61 1 0 825 82 2 0 383 0 785 0 5530 10 4 0 6760 0 153 2 0 867 r 0 934 y 0 448 3 18 y 0 7450 74 4 0 680 r 0 934 0 524 7 y 0 788 57 4 0 652 0 927 000 2000000 009 24 721 y 1 262 9 551 r 0 969 r 0 990 00000000 WOOO 00000000 00000 0000050 0900007000000 8 3 000000 10000000000 0 00000000000000000000 0000000 000000000000 00000000 6 00 1500000000000000 11500000000000000000 0 000000000000000000000000000 Dowels wio 00 HbO 58 OOO 0
108. 0 00000000 000000 Hel 0 00 0000000000000 0000000000 000000000 5 8 00000 UO 000 000000000 8181 Blg 00 DO 0 51x Wi W2 WM 000 8 000 DQ 0 51 0 W 000000 D 0 51x W1 BIg 0 gt 0 0000000000 0 0 000 12 10 00000000000 0000000000 Fig 2 000000000000000000000 0 15 30 000000000000000 Fie 2 00 Fig 3 Fig 4 5 9 00000 00000 9000000 mys gt 1 293x 10 de 0 24 000000 pl une rise m l s Gago c 0000000000 ms 0010000000 ms 0000 y 000 rr 00 0 62000088 0000 380000 000000 15 2 0000000 sl 200000 m 00000000000 00000000 00000000000 Co 00000000 Pasquill Gifford lt 0000 00000000 c og 0DU eg UE 00000000000 00000000000 i 0000000 CED ELLE TDN 8 88 9 104 11 C 0000000
109. 0 000000000000 U Ag gg ggg RRNA 111111111111111111111111111 OOO 2 01 2147488647 00000000 Ver 2 020 00000 X B d 1 D UU U 214748864700000 2005 110 Version 2 02 000000 00000000000000000000000000000000000000000 000000000000000000000000000000000 1 6 1 1118 1 1996 8 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 10 11 2 6 14 15 16 17 18 000000 0000 0000 111111111111111 500000000 00000000 1100 12000000 000000000 00000 0000 7 ver1 O 0 0 0 200000 12 ver 2 00 0 2 ver 2 01 1200000000 7 ver 2 02 21400000 11000000 30000 70000000 90000000000 1 7 0000 1 7 OO 0 00000000000000000000000000 000000000 115 18 00000 000000000
110. 0 1 05 50 580 2 1 000197000000000 100 000 000 hU 00000 044 oo 7 9 10 i 132 13 14 15 16 17 18 270 320 340 351 351 351 351 351 330 300 260 220 6 9 0000 64 000000 00000000200000000000000 0000000002000 0000000000000 building downwash 00000000000000000000 0 000000000000000000000000000000000 OOOO ha 0000 25000000 5 2 5 Ab0 0000000000 0000 641 0 0 0000000 2000 1 1 0 00000000 0 0000000000000000000000 0 0000600 000000000000000000 000000000000000000 10000000000000000000000000 0 e000 epodd0 000000000000 90000000000000000000 Good Engineering Practice 0 0 0 900000000 00000000000000000000000 10000000000000000000000 00000000000000000000000000000000000 000000 OO gt 00 gt 00 U D U H U H 00000 0000 0000 000000 0000 00 00000 Hb 0000000000000 y 6 OOO Hb Wb Lb 000000 s s GEPOO OOOO 000000 00000000 be OOOO 00000000 eru 6 10 0000
111. 0 Hem cai mim 00000000 mm 0000000000 00000000000 n yu MEME i CD O CE CC 00000000000 20000000 5 10 00000 2001 570 00000 0000 ug 000000 OU 05 000000 00000 un 0 7 6 woooo 0 a 0 0012 0 02 Ye 0 329 gt H H b w a W 0006 b 0788 b 0 0045x 0 051x 0 645 axH b 0000080000 Hs gt b b 54 Hs H h H 05000000 00000 3 0 Ca Cz 0 0100 Cro Cryo ll 0 0036 00000 42 5 5 3 2 Cy 0 052 05000000 Ca Cy axH b C 000000000 gt JS E IV JS 250059 p ES 0 0085 8 00038 b 05 000000 H H h H 00000 2 Hy 00006 w w w w H oo 2 H H 0 01368 Cz C20 10 00720 C320 Cz Cz C 1 0 00980 5 11 00000 000 000000 E
112. 0 poo00000 Ooo 000 000000000000000000000000000000000000000 0000000000000000000000000000000 ADMER 0 00000000000000000000000000000000000000000 1 5 0000 16 00000 000000 2005 0 000 1 6 1 ver l ll 19960 0 199808 0000000000600 0000000 0000000 0000000052760 000000 ennt 9 0000 1 6 2 ver2Q 00000 02000000000000000000000000000000000000000 000000000000000 20010 7 Version 1 0 2003 120 Version 200 000000000000000000000000 0 20040 20 Version 2 01 0000000 Ver 2 00 111 1 U 2 ETE b T E BE E B ET E 0000 20000000000 2000 50000000000 0 20050 Version 2 02 000 Ver 202 0000 100000 2 01 1 000000 BE PERDE DG PIE NE RG RAMEE 00000000000000000000000000000000 DER U 00000000 o0 00 000000000000
113. 00 0 H 00000 000 Cao Caoej 0010 d Cro 1 0 0030 6 17 0000 65 0000000 194 0000000000 METI LIS 0 00 m 00000000000000 m 00000000000 65100000 000000 00000000000 9970 0000000000000000 2190 0000000 000 000000000000000000 0 000000000000000000000 gt 000000 en 0000000 0000 gt 000000 0000000000 00000000000 a gt 000 Flux ono Hep oO 6 5 2 000000000000000 999770 00000000000000000000000 0 00000000000000000000000000000000000000000 00000000 00000000 2 C x y z exp
114. 00 00000000 OOOO 00000 meteorology exe meteorology_Ist txt meteorology log txt meteorology_err txt building exe building Ist txt building log txt building err txt simulator exe simulator Ist txt simulator log txt simulator err txt 000000 gt 000000000 ___ 000 00000 CBS POI OV Longitude 00000000 DU Latitude 00000000 DU 000000 Anemometer Ht 00000000000 Time zone 000000000 000000000 RAW Year Month Day Hour Wind dir 0 00000000000000000 DATA Wind spd 000 Temp 000000 Sunshine Short Rad 0000000000 0 01 000000 00000 DEFINED DAY Start or End dates 1 ASSI FI year nont h day 0000 2 HAR Start or End hours aoe 000 1 O 0000 000000 Day cl Hour 15 00000 000000 Year Month Day Hour 00 0 0 000000 LATA Wind dir Wind spd OOO ms 0000000 PG cls Temp 000000 0000000000 00000 Sunrise set hh mm 000000000 0000000 Season Qass Tine Cass Total Hours 0000000 Available 7 varstab ity 0OOOOOOOOOOOOOOOOOO WAD Fear g OOOOOOOOOOOOOOOOOOO AVERAE ms 00000000
115. 00 log 0 85 x log 0 70 logKow Y 6 000000000000 log 2 0x log 2 74 log Kow 4 72 3 Cfish Cwx BCF Ci 000000 6 lu g L 00000 lm kgl 10000 m 25L 0 UU E10 000000 gt 0000 00000000 OOOO 3 2 26 000 3 20 00000 000 drinking dairy product a Bry yl et a 314 39 3 kg tE 8R 155 A 19 7 ke E E 0 0003 kg 0 014 8 8 Ri amp Lemingr 00000 DN 1 Vea Vis 01 _ Vws 1 Vws x DNs CONV 5 1 Vws x DNs a d 2 TOG gna 3 Cw Cs OC _ s 10001 po dS Cfish Cwx BCF x PA 000000 000 0 411 x 10 logKows 6 log 0 85 xlog Kow 0 70 3 logKow 6 log 2 0x log 2 74xlog 4 72 3 000000 9 000 3 2 27 000 3 2000000 51 00000000
116. 00 1 100000 00000000000000000 5 1079 00000000000 5 10 0 m2 m3 5x 1079 0 000000000 3 2 37 000 3 20 00000 oo O 1000 00000 00 0000000000000 00 Een 100000000 02000000000000 JungeQ Odd 03000000000000000000000000000 00000000000 10 00000000000 logKow 0200000000000 Pw L1 0 70 00000000 Csoilw p 88 000000 11 00000000 U logKow J 20 0 00000000000000 0000 900 gt b1 80 00000000 Kaw 420000000000 50 0 0 00000000 600000000000 G 0000 euticle lt Rain 80000000000 0 62000 GO Vgw 99000000000000000000 1000000000000000 30 000 100000000000 00 000000000 bO b10 b20 O O 000000000 10000 Weathering rate I 000000000000000000000000
117. 00 10m 20m 30m 45m 1000 ao A O 0 000000000000000015 0 15 000 1900000000000 0 000000000000000000000000000000000000000 00000 0000000000 1150000015600000000000000000000000000000 a EIE ETSI 8 6 000000 Millstone o r 380 800 1500m e 2 000000 t CN NOS LEGEND q Ar Samplers at 1m Height Ar Samplers at im and 25m Height 600 L L L L L 0000000 HD 4 17 1 Millstone WC DOR eS UMA 0 2 2 8369 y 0545e 9 0739 gt O NNNM 10000 METI LIS ET I 100 1000 10 000 1 10 100 1000 10000 MEW ecg MEA 70 ISC Model METI LIS Model Millstone Run 18 25 10 1974 HUAN s EE 1 4 fs i A 79 gt 2 amp U uuu 0000000 Ed BAR y 70254x 09 7 0684 10000 5 2 0 2536 x 308 4 METI LIS 0 5812 X 1044 0 756 FAM 0 5 8 5 MM cT el 10 00 1000 10000 100000 1 00 1000 _ 10000 100000 MTM B 15 Model 115 Model la WARA Runs 6 7 1971 8 7 000000 8 3 1501100 0 115
118. 000 c 00000 A B C DD DN E F 0000000 4 000000000 40000000 0 00000000000000000000 0000000000 oor 00000 ONE le aE EE AG Bl BEE ERO BER BBE 00000 0000000000 mil def 10m 0000000000000 000000000 00000 lyyy mmvdd 00000000 0 00000 ImmssQ 00000000000000 CD ROM 000000000000000000000000000000 0 00000000000000000000000000000000000 2 32 000 2000 000 20017 0000000 p 56 00000000 z 00000 60000000 1 5 o 1 826 e oo 0000 250000000000 3 OHO PL FMR RF ADAE RE SST ROEM RE BRET ww TER cos camo MMMM Bus OA amp 162510 1 N C AEC 00000 00000 EMAST AMRA ER FE Seas 2 EMAST 271 6 6 ESO 2003 12 01 y 2003 12 01 HARE T 2003 12 01 12005 12 01 0000 00 00 BEAL HITE IO ERE dev 2 13 000 2000 2900000000
119. 000 0000000 0000000 000000000000000000000 0 00000000000000000000000000000000000000000 ELA BI EE CDS ED EAE B CP DEED BE EUH 000000 0000 00000000000000000000000000000000 2 AQ 00000000020000000000000000000000000 hs Os 0000000 621 OOO Q O 111111111 11111111 a DEEP 622 000000000000 0 00 stack tip downwash PTT ET EP E o AN Rh PE D B DH 0 0 0 000 stack tip downwashQ OOO ISCOOUU0 Briggs 00 d d d 000000000000 METELIS 000000 000000000 0000000000000 023 510 00000000000 0000000000 62 50 0000000000000000000000000000 628 UU D U U LU 0 000000000000000000000 000 6 4 0000
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126. 00000 00000 00000 00 0000000000000 00000000000 2003 0000000000 00000000000000 00000 20030 120 2009 0000000000000000 0 000 0 O 2003 4 10000 2006 10 00000000000000 00 000 CRMQ006 I pp 18 21 Bunge et al 1993 Robert L Cleek amp Annette L Bunge A new Method for Estimating Dermal Absorption from Chemical Exposure 1 General Approach Pharm Res Vol 10 No 4 497 506 1993 Bunge et al 1995 Annette L Bunge amp Robert L Cleek A new Method for Estimating Dermal Absorption from Chemical Exposure 2 Effect of Molecular Weight and Octanol Water Partitioning Pharm Res Vol 12 No 1 88 95 1995 Bunge et al 2002 Chapter 2 4 in Transdermal Drug Delivery Systems 2nd Ed Eds J Hadgraft amp R H Guy Marcel Dekker cRMQG000 0 0000000000000000000000000000 0080 0000 20060 10 22000000 00000000000 ooog CRM website DO 0000000000000 0 http unit aist gojp erm EC 2003 2nd Edition of the Technical Guidance Document TGD on Risk Assessment of Chemical Substances following European Regulations and Directives European Chemicals Bureau ECB http ecb jrc it tgdoc EPA 1992a USEPA Guidelines for Exposure Assessment Federal Register vol 57 no 104 Friday May 29 1992 pp 22888 22938 EPA 1992b USEPA EPA 600 8 91 011B Dermal Exposure Assessment Principles and Applications Inte
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147. 080000000 10 20060 0000 0000 CRM 2006a METI LISG 00000000 http unit aist go jp erm mainmenu 5 3 html 20065 100 000 00000000000 http unit aist go jp crm mainmenu 2 html CRM website http unit aist gojp erm EPA 1985 US EPA Guideline for Determination of Good Engineering Practice Stack Height Technical Support Document for the Stack Height Regulations 450 4 80 0238 Revised June 1985 1992 USEPA Protocol for Determining the Best Performing Model EPA Office of Air Quality Planning and Standards EPA 454 R 92 025 PB93 226082 Sep 1992 EPA 1995 USEPA EPA 454 B 95 003a User s Guide for the Industrial Source Complex ISC3 Dispersion Models Vol II Description of Model Algorithms http www epa gov scram001 userg regmod isc3v2 pdf EPA 2003 USEPA Comparison of Regulatory Design Concentrations AERMOD vs ISCST3 CTDMPLUS ISC PRIME Staff Report EPA 454 R 03 002 June 2003 Appendix A Side by Side Comparison AERMOD versus ISCST3 9 7 000000000 EPA 2005 USEPA Revision to the Guideline on Air Quality Models Adoption of a Preferred General Purpose Flat and Complex Terrain Dispersion Model and Other Revisions Final Rule 40 CFR Part 51 Federal Register Vol 70 No 216 68218 68261 Nov 9 2005 AERMOD EPA 3MRA USEPA The Multimedia Multi pathway Multi receptor Exposure and Risk Assessment
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158. EPA 1985 p 10 x ran A 00000000000 00 c 900000 Connon 00000000000 0000000 0000 a 0 0000 CalCe D UHHH 000000 ds ms x 0000 Gite D 00020188 00000000 He m 000 000 00000000000 1 METI LISO 00000 0000000 2001700000 6000 5110000000000 100000000 0000 00000 2 50 00 00000000 SIN 0000000000 0000000 y y uu unu 541 1 eit 541 1 eit Y 550 000000000000 C000 581 000 6 11 0000 642 000000000000000000000 00 00000000 2100000000 0 0000000000000000000000000000 54000 000000 0000000 000000 i 00000000000 1 2 i 0000000000000000000000000 715 320 0000 0000000000000000000000000000000000000000 00 90000000000 0000000000000 00000000000 037000000000000000000000000000 10 00000 00000 Pasquill Gifford 0 000000 1017 00000000000000000000000000000 550000
159. R Flat Rural Downwash Independent Indianapolis Flat Urban Non downwash Developmental Kincaid SF6 Flat Rural Non downwash Developmental Kincaid SO2 Flat Rural Non downwash Developmental Lee Wind Tunnel Flat Rural Downwash Independent Lovett Terrain Rural Non downwash Developmental Martin s Creek Terrain Rural Non downwash Independent Millstone Flat Rural Downwash Developmental Prairie Grass Flat Rural Non downwash Developmental Tracy Terrain Rural Non downwash Independent Westvaco Terrain Rural Non downwash Independent Half of the days for Bowline were randomly selected for use as a developmental database for PRIME and the full year was used as an independent database The DAEC database included some elevated terrain which was included in the final evaluation results od Martin s Creek induded some limited downwash effect due to nearby cooling towers which was included in the final evaluation results 8 18 000000 00 0 000000000 5 Riswadkar et 19990 000000 Kumar Univ Toledo OHH OOOO 000 15011 D 0000 Abdul Wahab Abdul Wahab 5 Sultan ISCST I 00000000000 000000000 2004 Qaboos Univ Oman 10000400000 000000000 000000 1 0 5020000000000 J ampana et al Jampana S S Kumar AERMOD 00000 AERMOD 5 ISC AERMOD view UI 2004 Varadarajan C Univ
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163. ap2 Appendixl uuu 00000000000 0000000000000 GASEQG 0000 TGD Table 1 63 0 rating criteria 0000000000000 408 O O20 0000000 EC 2003 TGD chap2 Appendixll 000 Cin 490000 eue Q proa X FC proa Qprod O O U U kg 4 V Feprod 0800000000000 H room Vroom 00000 ma Hos OOO OOO lkglkebwid BW 0000 0000 0000 0 0 75 Tcontact 0000000000 00000000 lkg bwl 00000000 lal inh 000 1 0000000000 00000000 00 gt 00000000000 Ader 2 article 00000 0000000000 gt 0000 U Ax xn A cast BW U der B W 000 1 2 00000000000000000000 atide00000000000 AREA X Cy XT XM migr contact appl oral oral Lu V BW prod 00 Carticle 000000000 EC TGD OO migration OOO FemigrQ 0000 2003 0 0000000000 OTGD Part 2 Appendixll Table 2 p 228 000 0000000000000000 0 000000000000000000000000 0 0 00000000000000000000000000000 migration Part 20 Appendix Il 5 3 3000 000000000000000000000 00000000
164. awt m2 year 3 2 17 000 32000000 2005 20050 9000 Human Health Risk Assessment Protocol for Hazardous Waste Combustion Facilities 000000000 0 00 2005 00000 000000 00000000000000000 DORADO DA DO DO DORADO 0000000000 RF BEER 000000000000000 COPC Chemicals Of Potential Concern 2000 BO 0000000000000 co 0000000 00520000000 000 000000000000 200000
165. ce of Air Quality Planning amp Standards Research Triangle Park NC NTIS No 82 145327 65 Lawson Jr R E W H Snyder 1983 Determination of Good Engineering Practice Stack Height A Demonstration Study for a Power Plant Publication No 600 3 83 024 Office of Research amp Development Research Triangle Park NC NTIS No PB 83 207407 66 Environmental Protection Agency 1985 Guideline for Determination of Good Engineering Practice Stack Height Technical Support Document for the Stack Height Regulations Revised Publication No EPA 450 4 80 023R Office of Air Quality Planning amp Standards Research Triangle Park NC NTIS No PB 85 225241 67 Snyder W H and R E Lawson Jr 1985 Fluid Modeling Demonstration of Good Engineering Practice Stack Height in Complex Terrain Publication No 600 3 85 022 Office of Research amp Development Research Triangle Park NC NTIS No PB 85 208107 00000 5 16 0000 METI LIS Ministry of Economy Trade and Industry Low rise Industrial Source dispersion model 0000000000 HOO 000000000 000000 nnunnnnnnunn 6 1 6 2 6 3 6 4 6 5 0000 000000 00000 621 0009 622 00000000000 0 stack tip downwash 62 8 U uuu 6 3 1 6 32 D UU D Uu 633 000000 641 0000000000000000 642 1100 0 65 1
166. ferred Model n 2005 0 0 00000000000000000000000000000000000 i 0000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000000 00000000000000000000000000000000000000000 0000000000000 000000 0000000000000000000200000000000000000000 0000000000 00000000000000000000000000 Nrispgo 000000000 1111111111 DES ER ES EOD Kumar et al 1999 0 0 0 Kumar et 1 1993 Hanna O O 0 0 0 o U o O 0 reasonable NMSE normalized mean square error 0 0 5 FB fractional bias 0 0 5 0 5 factor2 factor of 2 1 0 20 8 MG geometric mean bias 0 0 75 1 25 VG 000000 geometric mean variance 0 0 750 1 25 METI LIS 000000600 690000000000000000000 000000 00000 00000 METI LIS OO 9800000 OO km 20 0000100 00000000 000 ADMER 0 km O 100km OOOO 40000000 5kmx5km Mackay poo 00 000
167. ion Shower inhalation Ground water ingestion Sa aperos 7 7 2 z TZ gt AAA wawem 77 Fish ingestion p T Breast milk ingestion Ground water and shower pathways are considered for residents and home gardeners only if Census data indicate OOOOOOA Dose fos 1 Sa 0001 1 BW fan where Dose annual average applied dose from breast milk ingestion mg kg d Come annual average concentration in maternal milk fat mg kg 00000000 Kin fraction of fat in breast milk unitless annual average concentration in aqueous phase of maternal milk mg kg 00000000 f fraction of ingested contaminant absorbed by the infant dimensionless Ingestion rate of breast milk mL d 0 001 units conversion factor kg mL body weight of infant kg 0000000000000000000000000 3 3 17 0000000000 U Uncertainty 0 0 0 00000000000 00000000000 00000000000 0000000000000 00000000000 0000000000000 Bw 6 T EB 00000000000 UUUUUUUUUUUU 00000 a 1111 111110
168. mp serial 7292 m http www kanto meti go jp seisaku kankyo recycle 20011217meti lis_top html 2003 09 12 000 2005 08 05 http www eic or jp ecoterm act view amp serial 1665 0000000 J Downdraft 00 0 m 1 11 11 11 1 1 1 http ge rd info denken or jp ge leaflet pdf T02032 pdf m 0000000000000000000000000000000000000000 http www kanto meti go jp seisaku kankyo recycle 20011217meti lis_top html 9 4 000000000 00100050020 000000000 0000000000 m ALT s ALT He simple O 00000000000 He 00000000000000 ALT receptorl
169. n model 0000000000 HOO 000 0000 00000 1101111411 CONCAWE GEP Stack Height 00000 0000 9 1 000000000 000 000 000 00000 00000000000000000000000000000000000002000 0000 000000 000000 0000000 0000000000 MNOOOOOO 0000000000000 CONCAWE pume 45000 0000000000000 0001 1940 D D 0 1999 000 157 0000000000000 pC Q T T 9 0 0000 leas 00 0000000 1 293 100 gms 0 24 00000000 Fd 0000000 6 000000000000 Ah 0 175x Q xu CONCAWE CONservation of Clean Air and Water in Europe 0000000000000 Stack Height EPA Good Engineering Practice VO HH HH B BH HH HH HH B H d HH D B 1 0 0000000000000000 1985 0 00000000000000 5 7000 000000 ADMEROOOOOOO 9 2 000000000 0000000000000000000000000000000000000000 000000000000000000000000000000000000000
170. ne aquifer OOO Fate Processes 00000 0 000000000 000 00 Biotal 000000000 vadosezone 000000 Uum speciation 00000 fluxes EE BUDE erosion runoff 00 0000000 sedimentation 0000050000000 0 infiltration 000050000 flux 2 22 2l 0 vegetation 0000000000 11000 gt 00 0 translocation aquatic organisms O U U D 3 2 32 000 3 20 00000 Human Receptors census and land use data land use wetlands T amp E species etc data Watersheds DEMS Waterbodies Streams Lakes and Wetlands OEMs Reach Files GIRAS NWI Base Grid Area of Interest specified 100m x 100m grid Ecological Habitats and Receptors 0000000006000 0000000000000 0000000006000 0000000 0 0 DEMs 000000000 00000000000 000 100mx 100 00000000
171. ntification Rule 70 00000000600 SCI M Sampled Chronological Input Methodology 00000 1998 plume depletion 0000000 19980 1983000000 spline surface plume depletion OOO SCIM 1 15 5 validation 000000 000005014 VR aa 31 U U D 8 16 000000 15 5 19790000000 CRSTERE 19770000 building downwash 041000 00000000 00 000000000 1989 00000000000000000 1992 A 32 000000 most appropriate approach 199700000 0000000000000000 depletion 0 OOOOOOOOO 19980 0000000000000000 00000 0000 3 3 1980000000 A 4 00000 15 573 Guideline O preferred model 00000 public review 0000
172. ource dispersion model 0000000000000000000000 0000000000006000 11 000000 2001 00000 2006520 0000000000000000000 19960 0000 00000000000000000000000000000000 EE ED E E B RE EB EET 00 90000 00000000000000 5000001000000000000000000000000000000000000 00000000000000000000000000000000000000 000000000000000000000000000000000000 0 000000000000000000000000000000000000000000 000000000000000000000000 EPAD ISC Industrial Source Complex 00000000000000000000 EE DIE Ft 0 0000000000000000000000 0 000000000000000 1 104 20 00000004000000000000 12 000000000000000 Ugg Dn nD Ugg 11111111114111 14011111111111 11111 Ee Tl On 0 000000000000000000000000000000000000000 ee 00000000000000000000000000 10000000000 0000000000000000000000 0000000 20000000 Coa NO 0 00000000000000000000 0000000000000 E NI RA AIC RD RNC RA AA EE LR PAN DR ADR RR DAE AU
173. p Sons 1997 Hemond et al 2000 Harold FHemond amp Elizabeth J Fechner Levy Chemical Fate and Transport in the Environment 2nd ed Academic Press 2000 Mackay 2001 Donald Mackay Multimedia Environmental Models The Fugacity Approach 214 ed Lewis Publishers McLachlan 2000 Michael S McLachlan Vegetation Air Partition Coefficient Chapter 6 pp 115 123 in Boethling et al 2000 Pankow 1987 James F Pankow Review and Comparative Analysis of the Theories on Partitioning between the Gas and Aerosol Particulate Phases in the Atmosphere Atmos Environ Vol 21 No 11 2275 2283 1987 Toet et al 1992 C Toet amp FA A M de Leeuw Risk Assessment System for New Chemical Substances Implementation of Atmospheric Transport of Organic Compounds RIVM Report 679102008 Trapp et 1 1998 Stefan Trapp amp Michael Matthies Chemodynamics and Environmental Modeling An Introduction Springer 1998 USES 1994 RIVM VROM VWS Netherlands Uniform System for the Evaluation of Substances USES version 1 0 December 1994 version 2 0 June 1998 version 3 0 December 1999 version 4 0 June 2002 000 000000000 OOOO 00000000 00000000000000 000 20040 60 Junge 0000000 50000 p8290000000 atm 101325Pa OOO 1 7 1074 atmQO0 17 8 1 000 1 7 8 50 5 95 EU TGDOO0000000 0 0001 PalH 0000000 000 Toet et al 1992 0 2 Pal ml 5x10 0 00000000000
174. rim Report DEA H E D 1 1 U D EPA 2001 USEPA General Principles for Performing Aggregate Exposure and Risk Assessment USEPA Office of Pesticide Programs aggregate risk EPA 3MRA USEPA The Multimedia Multi pathway Multi receptor Exposure and Risk Assessment http www epa gov ceampubl mmedia 3mra index htm EPA PBPK USEPA Approaches for the Application of Physiologically Based Pharmacokinetic PBPK Models and Supporting Data in Risk Assessment External Review Draft EPA 600 R 05 043A June 2005 Hrudey et al 1996 Steve E Hrudey Weiping Chen amp Colin G Rousseaux 3 3 22 0000000000 Bioavailability in Environmental Risk Assessment Lewis Publishers Hubal 2001 Elaine Cohen Hubal EPA ACC Technical Workshop for the Voluntary Children s Chemical Evaluation Program VCCEP December 11 13 2001 Herndon VA McDougal et al 2002 J N McDougal M F Boeninger Methods for assessing risks of dermal exposures in the workplace Crit Rev Toxicol 32 4 291 327 review Paustenbach et al 2006 Dennis Paustenbach amp David Galbraith Biomonitoring Is body burden relevant to public health Regulat Toxicol Pharmacol Vol 44 No 3 249 261 Sakamoto et al 2005 Ai Sakamoto Hiromichi Fukui Spatial Approach to Estimate Chemical Exposure considering Activity Patterns Case Study on 1 3 butadiene in the Tokyo Metropolitan Area J Environ Inf Sci Vol 33 No 5 57 64 2005 3 3 2
175. swadkar et al 1994 Riswadkar R M Kumar A po00000000 1505 OOO 0000 Kumar et 1993 Ashok Kumar Jie Luo amp Gary F Bennett Univ Toledo OH 001 00000000 DEGADIS SLAB OME 15 00000 0000006000000 1983 0 00000 8 20 000000 156000 000 15 000 3MRA Docs Center for Exposure A 21SCST3 00000 19700000000 J uly 2003 Assessment Modeling verification 00000 preferred model CEAM A 31SCST3 I 000 000000 0197990000000 EPA 3MRA validation a 0000000 2 EPA 00000000600 2005 111111 1 1 1 15 Federal Register 40 CFR Part 51 00000 2003 0000000006000 0000000 OOOO April 15 2003 5153 OOOOOOOOOOOO Sokmr 000000 000000 000000 9010000 Office of Solid Waste and 3 11 000000000 0 0 AERMOD 0000000000000 HHRAP 2005 Emergency Response 000000000000 CALPUFF ISC PPRIMEQ 000000000 000000 8 3 3 1 3 00000 000 00000 September 2005 000000000000000 00000000000 97190 00000000000
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177. y exactness 00000000000 precision 0 00000 000000000000000000000 000000000 150000000 ISC Industrial Source Compled 0 0 000000000000000000000 8 2 METI LISQ 1501 15 000000000000000000000000000000000 METI LIS 0 000000000000000 156 000000000 0 000000000000000000 000 2001 0000000 000 0 00000000000000000000000000000000000000000 11 0 0000000000000000000000000000000000000000 0 00000000000000000000000000000000000 000000000 0000000000000000000000 gt C0000 gt DDUDUDUDUDDBDBDUDUDUDUDUDUUDuLDL 0000000000000000000000000 Millstne 000 1950000000000 000000 000 19910000000000000000 E 82100000000000 0000000000000000000000 000000000 00 0 0000 0000 00 00000000 0000000000000 1 000 0000 000 0000 0000 000000000 0 5 1 5Hb 5 115000000000000000000000000000000 000 00 00 0 000000000000000000000000 0000000 00 00000000000000 00000

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