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(1)‚]æ~>Æ·~ã²æ. òY. Vol. 9, No. 1, pp. 28~38, 2004. `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+. Bç& Áš*^ Á;æ ÁšFê ÁFÿR Á·æö  1. 2. 1. 1. 3. 1. ‚“"8Fö «z" ~ãö’. LG ~ãn*’ö ‚“ö¶K’². 1. 2. 3. Uncertainty Analysis of a Pharmacokinetic Modeling for Inhalation Exposure of Benzene from the Use of Groundwater at Dwelling. Á. Á. Á. Á. Á. Sang-Joon Kim1 Hyun-Ho Lee2 Ji-Yeon Park1 You-Jin Lee1 Donghan Yu3 Ji-Won Yang1 1. Environmental Remediation Engineering Laboratory, Department of Chemical and Biomolecular Engineering, KAIST 2 LG Institute of Environment, Safety & Health 3 Korea Atomic Energy Institute. ABSTRACT This study presents the result of uncertainty and sensitivity analysis of a pharmacokinetic model which describes the distribution and removal of benzene at each organ when an indivisual inhales indoor contaminated air with benzene originated from groundwater. The pharmacokinetic model simulates the distribution of benzene deposited in organs of human body through inhalation of contaminated indoor air as well as degradation-metabolism in liver. This study focused on the uncertainty problem induced from the use of the single values for blood flow, partition coefficient, degradation constant, volume, etc. of each organ which was due to a lack of knowledge about these parameters or their measurements. To solve this problem, uncertainty analysis on the pharmacokinetic model was conducted simultaneously which would help understanding the risk assessment associated with VOCs. Key words : Indoor air pollution, Benzene, Physiologically based pharmacokinetic model, Uncertainty analysis, Sensitivity analysis. º £ ^.  ’º æ~>‚¦V F¾‚ ÊFš Ú8ö >B>Ú ^‡j Û~ žÚö F«Fr ' Ë8ö ª

(2) ~ B –>º ©j >Ò~º ÿ'£Ò Ξ~ ®{ W 5 7ºê ªC~ Ö"¢ B~& . J"B Ú8~ ^‡j ۚ ÚÚö F«B ÊFš ' Ë8ö ª

(3) ~º jN" ³ê¢ Î~~8 *š 8š~ ÿ'£Ò Ξj 'Ï~& b– *öB~ ªš&Ò¢

(4) Ž~ ’W~& .  ’º ÿ'£Ò Ξ~ ' Ë8~ .~ï, ªVê>, ªšç >, ¦b " ?f ž¶ ö &‚ æ 5 /;~ ¦—öB Jº ;B ¢ 8~ ÒϚ ¢8~º ®{ W ^B ö &š .6j ºî . š¢ šÖ~8 *šB ÿ'£Ò Ξ" ®{ W ªCj ÿö >¯>îb– „b‚ >BW F8zb" &N‚ *šê ï&öB~ šš¢ ¸¢ > ®  * . *Ú : Ú8J", Ê., ÿ£Ò Ξ, ®{ 9 ª+, %ºê ª+ *Corresponding author : [email protected] : 2003. 7. 1 : 2003. 11. 30 : 2004. 6. 30. ö%>¢ î~ # Æ~. ²Òߞ¢ Hæ. 28.

(5) `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+ 1.. * V. 1-3). 5,6). ê¢ ’† > ®î . š‚ ^‡žÂ‚ žš ÊFš *ö V¢ žÚ~ ' ¦ªö »', ª~– B–>º ·çj Òj "–‚ ÿ'£Ò Ξ(physiologically based pharmacokinetic model, PBPK model)j 'Ï~  ;ï'b‚ ªC† > ® . šf ?f ΞöB ÒÏB «Kž¶ f ¢>'b‚ ¢8(single value)b‚ "Úæ– j'b‚ ®{ Wj <² >º– š©f ž¶ö &‚ 榗 _f G;~ ¦;{ŽöB Jº ®{ Wj ¢ º öš . š‚ « Kž¶~ ®{ Wf ‚«Ö"ž ' ËVöB~ ÊF³ê f V 5 &Òªš Ö"ö ç7'ž 'Ëj ~² B. . V¢B  ’öBº «Kž¶~ ®{ Wö Vž Ö "~ º*¢ ;ï'b‚ ï&~V *š ÿ'£Ò Ξ ~ ®{ W 5 7ºêªCj >¯~& . 7,8). "F²¾ &F²  F~&ËJöB B~º Æ·J "ö ~‚ žÚš;'Ëö &šBº "R ]öB ôf  \f –Ò& šÚ^ zî . 

(6) ¾ æ~>¢ >~ rÏ> 5 RÏ>R Òφ ãÖ æ~> ³ö Ϛ>Ú ®~ >BW FVzb(VOC)š ÚV¢ J"Ê  V¢ ‡«Žb‚Ž žÚ*š& B† > ® . *Ò ‚Ï>~ &¦ªj æ‚>ö ~æ~ ®º “Ú öBº š‚ ア ۂ VOC~ žÚžÂf –~ ì º ©b‚ 'B . ¾ Ë–Ò ÇF&öB B~º *Fö ~‚ æ~> J", ãæ 5 Öëæ"æ –" æöB ÒÏ~ ®º æ~>öB –®" kBö & ‚ "öš OÇj Û~ **® ê> ®º ©b‚ j š ôf jN‚ ÆÒ'ž žÚ*š& šÒ~ ®º ©b‚ 'B . V¢B "F²& ž7š ®b– *Ò æ~>¢ > 5 ‚Ï>‚ ÒÏ~º ž $º ³2æ~ "–æ" „b‚ æ‚>~ ¦—ªj æ~>‚ &ڂφ &ËWš ¸f j2Þæ  &Î "æ¢ &çb‚ Ú VJ"j ۂ VOC~ žÚžÂö &‚ ’& jº† ©š¢ 6B .  ’öBº ÊFš ŽFB æ~>¢ ÒÏ~&j r ÊF ‡«ö ~‚ žÚžÂ 5 žÚÚ –ÿö &‚ ’ ¢ >¯~& . >B~ö ŽB ÊFf rž 5 PAH (polycyclic aromatic hydrocarbon) ç&'b‚ >Ϛ Wš ’ Bzbî‚ "Ϛ >Úz . $‚ ÊFö Ë V* ^‡j ۚ žÂ>îj ãÖ '.’~ 6²" Z; W n.j Ž‚ ·‚ .‡šçÃ^¢ ¢bʖ "ï b‚ žÂF ãÖöº W.÷~ Bnê& ¸jê  rJ^ ® . š &¶ ~ ¢^öBº æ~>ö Ϛ>Ú ®~ ÊF š ¢bʺ ÚJ"j 2-’Ξj ÒÏ~ ï&~&  š-² .GB ÚJ"" *ö Vž Bž~ –" *~ šÿ;¢ J~ ~ 7 J"bî~ ^‡žÂ³ 4). 29. 8-12). 13). 2..  V. ÿ£Ò Ξ~ Ïj *‚ ÚJ" žÚž ³ê ÎÒÖ. Ú^‡žÂj ;ïz~V*š ÷nöB VOC~ šÿ " ª¢ ÎÒ~º 2-’Ξj ÒÏ~& . 2-’Ξ f zË j ‚ *ö Ž~ ®º ‘ ò ’" ‘ < ~ ÷n’b‚ ’ª>Ú ® . Fig. 1f š Ξ~ "º ’ Wj " ®b– bî šÿ~ ア ‚~ ® . 2-’Ξö ÒÏ>º îïšf  (1), (2)f ? . 2.1.. 7,8,14). dCs( t) Vs -------------- =Q s( t)+qas Ca( t) – ( qso + qsa)Cs (t ) dt. (1). dCa( t) Va ---------------=Q a ( t )+qas Cs ( t ) – ( qao + qas)Ca ( t ) dt. (2). VB C, V, Q, qº '' VOC~ ³ê(ng/L), ’~ ¦ b(L), F« J"b(ng/hr) Ò Vv~N(L/hr)¢ ~ ‚ . j¾Î¶ž s, a, oº '' ‘ ò (shower room)’ " ‘ <~ ÷n(the remainder of the house)’, Ò ‘ ž(outdoor)’¢ ~‚ . Fig. 1öB R(hr)f ' ’. Fig. 1. A two-compartment model for simulating the transfer of benzene from groundwater to indoor air. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(7) BçÁš*^Á;æÁšFêÁFÿ‚Á·æö. 30. öB V~ Ú~*j a‚ . Vv~N(q)" V , V , R , R ~ &R8" º*¢ &¶~ ¢^ ö º£~& . Q , Q f ?f J"b “f ' &N ’öB J"> ¢ ÒÏ®jr >BB VOC~ ’Ú F«j ¾æÞ © š . v ’öB~ J"b ³ê¢ ~~º C , C ‚¦ V ’‚ ~ ÿn~ J"b ³êª

(8) º ò öB~ b ÒÏö V¢ ’² 'Ëj Aº ©b‚ ¾æÒb¾ J"b š ¸f ³ê‚ šÒ~º ‘ ò ’öBº ç&'b‚. Ö f *j Bžš ^b ®bæ‚ žÂï(~ ÿ n J"b~ CF«ï)f Îf Îv ‘ <~ ÷n’öB "‚ ¢Ú¾² B . ~ ÿn~ J"b ª

(9) ‚¦V V&ãÖ(«Kž¶ö V 8j &«)öB~ ^‡j ۂ žÚžÂ³ê¢  (3)j šÏ~ ’† > ®î . s. s. a. s. a. 8). a. s. a. ¢ " ® . VB Îf Îv 7f 8 Қö. ò, zË šÏ, ^š 5 ·~¢ ~– ÎW~ žÂ¾ÒJ ~ ãÖ Ôÿn žÂ~ "–öB~ žÂš ìº ©b‚ &;~&b– &gö ‚®~ ^šš ®º ©b‚ ·W~&. . W~ ãÖ žÂìš ÷nö ®º ãւ &;~&b – Ôÿn ^ç, Ó², ^šš º&>î . Fig. 2‚¦V ï žÂ³êº Îf '' 81.4, 118.7 ng/hršîb– ‚&ž Â³êº 1037.6, 689.6 ng/hr‚ ¾æÒ . š©f CžÂï šöBº Wš ÎW ¸~æò ÎW ^‡ïš Ô V r^ö ‚&žÂ³êº ç&'b‚ '² ¾æÂ ©š . ÿ£Ò Ξ~ \9  ’öB Òς ÿ'£Ò Ξf žÚöB ÊF~ ‡«, &Ò Ò VÂö &‚ ©j >Ò~ ®b– Haddadö ~šB BBB ©š . š Ξ~ ’Wf Fig. 3" ?b– «Kž¶ö &‚ ;~º Table 1ö ;Ò ~& . š ;~ Ξf ÿb" žÚöB VOC~ – ÿj .G~º– šÏ>Úzb– Ò'ž GšöB Ò. 'ž ' ^

(10) ’(tissue compartment)öB ‡>B J" b~ æzNj >Ò~º ªO;b‚ ’W>Ú ® . š r J"bf Î *öB šç'b‚ ¢~² ª

(11) > Ú ®  &;‚ . &Òªš(metabolism)º *öB β >wj Û~ ¢Ú¾– Michaelis-Menten ÿj Vž.  &;~& . š Ξö Všš, J"b~ ‡>º ö¢ Û~ ³ b‚ ¢Ú¾ ®b– ö

(12) öB~ J"b ³êº ÿ . " B*'ž ï;çö ®º ©b‚ .‡/V ªVç> ö V¢ ²ÖB . ÿö ' ^

(13) ’öB~ J"b~ ³ êº ^

(14) /.‡ ªVç>ö çw~ ; ." B*'ž 2.2.. 12). ERinhal(t) = [OFs(t)Cs(t) + OFa(t)Ca(t)]BR(t). (3). VB ER(exposure rate, ng/hr)f * J"b~ žÂ ï, OF(occupancy factor, *ìr)º Bžš ‘ ò ’ _f ‘ <~ ÷n’ö *~~ ®j &ËW ¯, 6FN j ~‚ . .¢ Ú, ò¢ Bžš 7f 8 Қö zË j 10ª ÿn Òς š šr OF º 0.167(=10/ 60)š OF º 0.833(=1-OF )~ 8j <æò ß® ÿ' £Ò ΞöBº B' *ö ²Ö~º ‡«" ÊF ³ê¢ ÒÏ~² >æ‚ ÿ¢‚ ãÖö &šB OF º 7 f 8 Қ~ ;šê 10ª ÿnò 1~ 8j &æ– šr OF º 0(=1-OF )~ 8j <º . š‚ žÚžÂ Ξj šÏ‚ ÿ' ÎÒ¢ Matlab-simulinkj šÏ ~ >¯~& . BR(breath rate)f * ^‡ïš– W êö V¢ ‚ÿçö V¢ ž 8j 'Ï~& . Fig. 2º Bžš ~ ÿn ‡«~º ÊF~ žÂ³ê s. a. s. s. a. s. Fig. 2. Inhalation rate of benzene in base case. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. 8). Fig. 3. Conceptual representation of PBPK model for benzene (f: adipose tissue, s: slowly perfused tissues, r: rapidly perfused tissues, and l: liver)..

(15) `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+. 31. Table 1. Compartment and parameter definitions for PBPK model8). Table 2. Physiological parameters used in PBPK model for benzene18,12). Abbreviation Definition Cin Concentration in air inhaled Ca Concentration in alveolar air Cexh Measured concentration in expired breath Qa Alveolar ventilation rate Qb Cardiac output Pb Blood/air partition coefficient Ba Arterial blood concentration Venous blood concentration B Am Amount metabolized in liver Qi Blood flow rate to compartment i Vi Volume of compartment i Ci Concentration in compartment i Bi Concentration in venous blood leaving compartment i Ai Amount in compartment i Pi Tissue/blood partition coefficient for compartment i Vmax Maximum metabolic rate Km Michaelis constant. Parameters Values Alveolar ventilation rate (L/min) active inactive Man (65.42 kg) 796.2 442.8 Woman (54.66 kg) 529.2 330.6 Cardiac output (L/hr) 390 Blood flow rate (fraction of cardiac output) Fat 0.05 Slowly perfused tissues 0.25 Richly perfused tissues 0.44 Liver 0.26 Volume (fraction of body weight) Fat 0.19 Slowly perfused tissues 0.62 Richly perfused tissues 0.05 Liver 0.026 Partition coefficient Blood:air 7.4 Fat:air 406.0 SPT:air 15.0 RPT:air 11.0 Liver:air 11.0 Metabolic constant 17.1 Vmax (mg/h/kg) 0.35 Km (mg/L). ï;çö ®º ©b‚ &;~& .  (4)º æO^

(16) (adipose tissue), SPT(slowly perfused tissues; b¦, "G), RPT(richly perfused tissues; ËV, ò) ö &~ ' ’j 澺 ; .~ ÊF³ê(B )¢ ¾æ Ú ® . ÿ ." ; .~ ÊFï~ Nšº ËV öB~ »'j ~~ ^

(17) /.‡ ªVç>(P )‚ ¾~Ú ^ *ö Vž ; .~ ÊF³ê(B )¢ êֆ > ® .  (5)º *(liver)öB ; .~ ÊF³ê(B )¢ ’~º š– &Òªš“š Î&>Ú  (6)‚ R*>º Michaelis-Menten ö V¢B ÊFj ªš‚ . K f * ~ &Ò³ê& ‚&8(V )~ .>š >º *; ~ ÊF ³ê¢ ~‚ .  (7)f ö¢ Ë~º ; .~ ÊF³êš– ' ’j Û"‚ ÊFš ~¾‚ öê ·j *Ú .~ïb‚ ¾. 8š .  (8)f ÚÊ *(dt)ö ö’b‚ Ú&º Ê F~ F«ïf VÂï" ? º îïšö V.‚ š. . ö‚ F«>º ÊFf ; .(B)" ÚV(C )~ ‡ «(Q )ö ~‚ ©š– VÂ>º ©f ÿ .(B )" ÆN (Q )ö ~‚ ©š . šr ÆNö

(18) ŽB ÊF~ ·f ÿ .~ ÊF³êö V/.‡ ªVç>¢ ~ ¾æÞ. .  (6)öB (9)ræ~ ’Wf VOC~ ‡«ö &‚ ÿ '£Ò Ξj ¾æÚº ©š– ÚÊ *ö &~ ' ’~ »'ï" ö çw~º »'³ê 5 ; .öB ~ ³ê& ÿö ÎÒ>Ú ’† > ®² B .  (8)f  (10)" ?š ;Ò~ ÿ .~ ÊF³ê(B )¢ ’† > ® . i. i. i. l. m. m. Ξö «K‚ ' ’~ ¦b, .~ï, ªVç> 5 & Òªšç> " ?f Ò' ;º Table 2ö º£~  ;Ò~& . 12). · Qi Bi= --------- (B – B ) Vi P i a i. (4). · · Ql Am Bl= ---------- (Ba – Bl )– ----------. (5). · VmaxBl Am= ---------------Km + Bl. (6). 1 B =----- ∑ Qi B i. (7). (QaCin + QbB)dt = (QaCa + QbBa)dt. (8). Qa (Cin − Ca) = Qb(Ba − B). (9). Vl P l. Vl Pl. Qb. in. a. a. a. a. 15). šr C = B /P šš a. a. b. Ba = (QaCin + QbB)/((Qa/Pb) + Qb). (10). ®{ 9 ª+ ®{ WªC𦠫K¶ò " š‚¦V áÚæº ‚ «Ö"~~ Ž>&ê $º Ξj ۚ *2>º ®{. 2.4.. 10,13). Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(19) 32. BçÁš*^Á;æÁšFêÁFÿ‚Á·æö. Fig. 4. Profile distribution of benzene concentration in blood stream leaving from each organ derived from uncertainty analysis of 24 hrsimulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(20) `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+. Wj ;ïz~º ·ëš . š ãÖ «K¶ò f {†& êª

(21) ž PDF(probability density function)‚ R*B . ÖF ' «Kž¶ ~ {†&êŽ>‚¦V áÚæº «K ¶ò setj îN~¢ ~º– š¢ *š Monte-Carlo Samplingš¾ LHS(Latin Hypercybe Sampling)V»j Ò Ï‚ . š‚ samplingj ۚ áÚê «K¶ò ~ set f &B 100~200B;ê &j~ š‚¦V ‚« Ö"~ ~ ®{ Wª

(22) ¢ Ö;~² B . Ö;B ‚«~~ ª

(23) ‚¦V ï~(mean) $º ®{ W~ ª

(24) (.¢ Ú, 5th $º 95th percentile)š ;ïz~² B . Table 3f  ’öB ®{ WªCj *š F;B ž ¶ ~ ª

(25) ;f ®{ W º*¢ " ® . F; B ž¶~ ª

(26) ‚¦V LHSO»j ۚ 100B~ «Kž ¶¢ êÂÎ ê š‚¦V ‡«žÂö &‚ ' ËV¢ 澺 ; .~ ÊF³êf &Òªš _f ^‡VÂïj Matlab-simulinkj šÏš êÖ~ š 8~ ;ïzB ª

(27) ¢ ï&~& . Fig. 4º ®{ Wj

(28) Ž‚ «Kž¶ j ê«®j r ~ 7 ' ËV~ ; .öB~ ÊF³ê~ æz¢ . 33. Table 3. Distribution of parameters and scaling factors used in uncertainty analysis Parameter Partition coefficient Fat. Distribution. Uniform Uniform Uniform. −30%~+30% of base case value " " ". Log-uniform Log-uniform Log-uniform Log-uniform. " " " ". Uniform. SPT RPT Liver Metabolism constants Vmax Km Breathing rate First order constant (Kzero). Range. " ® . æO^

(29) (adipose tissue)~ ; .öBº W š ÎW ÊF³ê& 2V šç ¸~º– š©f æO ^

(30) ~ ^

(31) /.‡ ªVç>(54.9)& ž ËVöB > V ¸bæ‚ ÊFš æOö 9šJº ã˚ ; .ö šÒ~º © R ’V r^š . V¢B V* ž ÂöBº Æ žÂš ì ~z¢ê æO^

(32) ~ ; .~ ÊF³êº ¦¾" *Ú æ pº . >šö SPT, RPT,. Fig. 5. Profile distribution of benzene removed by metabolization and exhalation from 24 hr-simulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(33) 34. Bç&Áš*^Á;æÁšFêÁFÿ‚Á·æö. Fig. 6. Profile distribution of benzene concentration in blood stream leaving from each organ derived from uncertainty analysis of 12 dayssimulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(34) `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+. bæ‚ ; .~ ÊF³êº ž¦~ ÊFžÂö &š " 6~² æz‚ . ¯ ~ÿn~ žÂCï º B*' ž ÊF~ F«†ö ~š ²Ö>æ‚ ®{ Wj 6n~ ê ^‡ïš ôf ÎWš W ÊF~ ³ê& ¸² ¾æÂ ©š . Fig. 5º ®{ Wš

(35) ŽB «Kž¶~ ª

(36) ‚¦V ~  7 ÊF~ B–ï~ ª

(37) ¢ "® . ^‡Vš &Òªš ¸² ¾æÒb– š©f ö¢ Û~ ‡« B ÊF~ ¢¦òš *b‚ šÿ>Ú ªšF > ®b¾ ' ËV¢ Û"‚ ; .~ ÊFf ö¢ ۚ *Ú'b‚ VÂ>V r^š . W~ ãÖ& ÎW ‚«B–ï ö &š 9fª

(38) ¢ &rº– š©f Ôÿnö æ³B Ê F~ žÂ‚ žšB ª

(39) &  {&>îV r^š . Fig. 6f ®{ Wš

(40) ŽB «Kž¶~ ª

(41) ‚¦V Ê F~ ËV* žÂö &‚ ' ËV~ ; .~ ÊF³ê¢ " ® . æO^

(42) ~ ãÖ £ 120* šêöº ; æçö ê~&b– Wš ÎW ‚« ÊF³ê~ Ö

(43) ê& ¸² ¾æÒ . îR&æ‚ W~ »'ïš Î W ¸bæ‚ *'B ®{ W~ Î"& ôV r^š. . >š ËV* žÂöB SPT, RPT, *(liver)º ®{. Wš

(44) ŽB «Kž¶ö &~ ³ê~ ª

(45) & –~ ¾æ ¾æ p~ . š©j Û~ ËV* žÂf V* žÂ ê Û30% ÞN~ ®{ Wš

(46) ŽB «Kž¶ö &šB Ö" ³ê ~ Ö

(47) ê& Ô² ¾æÒb– – 'Ëf ~æ pº © j r > ®î . Fig. 7f Fig. 6öB ’‚ ÊF³ê‚¦V Îf''~ ËV¦bf ^

(48) /.‡ ªVç>¢ ~ ËVö »'B ÊF~ ‚«»'ïj ¾æÞ ©š . æO^

(49) öB &¦. 35. ª~ »'š &V>îb– ®{ Wš

(50) ŽB «Kž¶ö &~ æO^

(51) ~ ÊF»'ï~ Ö

(52) ê&  ¸² ¾ æÒ . rb‚ SPT& ¸f Ö

(53) ê¢ &rb– RPT, *f j݂ >&b‚ ¾æÒ . š ãÖ Fig. 6" ?š ' ËV~ ; .öB ÊF³êº Wš ÎW ¸~ röê ®’~ »'ïf ÎWš Ö^‚ ©b‚ ¾æÒ º– š©f ÎWš W ÞZ²& ôš ¾&æ‚ ' ËV~ ¦bê ’² êÖ>Ú C»'ïö ®ÚBº Ö" & ç>>î . »'ï~ ª

(54) ¢ ¦ z ¶^® ÚÚš æO^

(55) ~ ã Ö Îf~ ï(mean)f 348.0, 252.2(ng), 78(median) f 346.1, 248.3(ng), ~‚~(5th percentile)º 299.4, 200.0 ng, ç‚~º(95th percentile)f 398.7, 335.3 ng‚ êÖ> î . SPTº ïš '' 60.8, 43.8 ng, 78f 60.7, 43.5 ng, ~‚~º 51.3, 36.5 ng, ç‚~º 71.2, 50.9 ng šî . ¾^æ RPT, *f Îv 3 ngš~‚ Ö 'f »'ïj ¾æÚî . Fig. 8f 12¢~ ËV* žÂö &~ &Òªšf ^ ‡VÂö ~‚ ÊF~ B–ïj ¾æÞ ©š . ÎfÎv ^‡VÂö ~‚ B–Nš &Òªšö ~‚ © £ 2 V ¸~ . ®{ Wš

(56) ŽB «Kž¶& ÒÏ>îjr ‚« B–ïöB Wš ÎW z 9f Ö"~ ª

(57) ¢ "î . %ºê ª+ 7ºêªC𦠂«Ö"ö &Ë 'Ëj "º «K¶ò ¢ 2k~º ©š . šr 7ºê¦ ‚«Ö" þ2" « K¶ò~ þ2‚¦V áÚæº rank-order correlationj ö ‚ .  «~~ rank-order correlationš ®b¾  ’ 2.5.. 10,13). Fig. 7. Result from uncertainty analysis of 12 days-simulation for benzene accumulated in each organ. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(58) BçÁš*^Á;æÁšFêÁFÿ‚Á·æö. 36. Fig. 8. Profile distribution of benzene removed by metabolization and exhalation from 12 days-simulation.. öBº &Ë z® ÒÏ>º Spearman rank-order correlation j šÏ~&b– r" ?š ;~B . 6 ∑ (xi – yi ) ρ=1 –---------------------------2 n( n –1 ) 2. (11). VB x , y º X, Y æ>~ i®~ B*(rank)š– n f þ2~ >¢ ~‚ . š-² áÚê ρ 8f −1öB 1ræ æ~º– −1ö &r֚ r~ ç&&ê& ®rj ~‚ . ρ ~ .&8 š ’ º ©f «K¶ò~ ®{ Wš ‚« Ö"~ö – 'Ëj "º ©j ~‚ . V¢B Spearman rank-order correlationj ’‚ ê š¢ B*z~š ‚« Ö"ö 'Ë j "º 7º«K¶ò ~ B*¢ áj > ® . Fig. 9f „B >¯‚ ®{ WªCÖ"¢ :ûb‚ Î ž«Kž¶~ 7ºê¢ Spearman rank-order correlation b‚ R~ " ® . ~ ÿn~ žÂÖ"öB ^‡†(BR)" Michaelis ç>(K )& &Òªšf ^‡V ö Ûb‚ ¸f 7ºê¢ ¾æÚ ® . ^‡ïf ‡ «žÂ~ žÂïö ç7 &ê~º ž¶š– *ÚB–ï" i. i. m. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. jf~² B . Michaelis ç>º *öB~ ÊF~ &Òª š³êf &ê~² B . ¯ Michaelis ç>8š Ã&~š ò¢ ªš³ê& 'Úæ² >æ‚ &Òªš(metabolism) fº r~ ç&&ê¢ &æ– >&‚ ^‡VÂ~ '˚ ’² ¾æ¾² >æ‚ ^‡VÂï"º ·~ ç&&ê¢ <² B .  ’öB Òς ÿ'£Ò Ξ~ êÖöB Ë V¦bº ªVç>~ *~f B‚ ?bæ‚ ®{ Wj

(59) Ž‚ ËV¦bö Vž Ö"(outcome)~ æzº ªVç >~ Ö"f ¢~‚ . ' ËV¦b(_f ªVç>)f & Òªš Ö"8"~ &êöBº SPT& &Ë ¸f r~ ç &&ê¢ ¾æî . š©f SPT~ ¦bº žÚ~ 62%¢ Næ~æ‚ SPT~ ¦b& Ã&† r ò¢ »'>º · š ž ËV ôbæ‚ &Òªš 5 ^‡VÂö ~‚ ÊF~ B–ïš *Ú V r^š . ^‡VÂö &šB SPT& Ú¶ ;ê~ 7ºê¢ ¾æîb¾ æO^

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(61) ~ ã Ö ÊFš ¸f jN‚ »'>æ‚ ; .ö Ö 'f jN‚ šÒ~ r ";öB ; .j V¢ ö‚ &º.

(62) `"æ~ æ~>ÒÏö* F¾‚ Ê.~ W«žÂö &‚ ÿ£Ò Ξ~ ®{ 9 ª+. 37. Fig. 9. Importance analysis of input paranmeters for the outcome of PBPK model. The outcome is amount of benzene removed by metabolism and exhalation for 24 hours and 12 days.. ÊF·š *Ú ² >æ‚ ^WVÂ~ ·š *Ú ² B. . V¢B ç‚ 7ºê¢ &æ r~ ç&&ê¢ & æ² B . ËV* žÂö &šBº VžÂ" ÿ¢~² šC† > ®º j݂ 7ºê Ö"¢ ¾æî . 3.. Ö V. ÊFj

(63) Ž‚ æ~>¢ –"æöB Òώb‚Ž Ú V& J"š >º– š‚ V¢ W«~ žÚö F «B ÊFš žÚ~ ' ËVö Úá² ·Ï~ºæ¢ ÿ' £Ò Ξj Û~ Î҆ > ® .  ’öBº š ‚ ÿ'£Ò Ξö ÒÏB «Kž¶ ~ ®{ Wj ï&&b–  ’öB áÚê Ö"‚¦V r" ?f ֆj áj > ®î . 1) V* žÂ~ ãÖ æO^

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(65) /.‡ ªVç> & ¸bæ‚ jƒ žÂš ìj r¢ê ; .~ ÊF³ê. º ¦¾" Ôjææ pº . >šö SPT, RPT, *(liver) öBº ž¦~ ÊFžÂö &š "6~² >w~& . 2) ËV* žÂf V* ê Û30% ÞN~ ®{. Wš

(66) ŽB «Kž¶ö &šB ' ËV~ ; .öB Ê F³ê~ Ö

(67) ê& Ô² ¾æÒ . 3) ËV žÂ ' ËV~ ; .öB ÊF³êº W š ÎW ¸~röê ®’~ »'ïf ÎWš Ö^ ‚ ©b‚ ¾æÒº– š©f ÎWš W ÞZ²& Z–Öæ‚ ' ËV~ ¦bê ’² êÖ>îV r^š . 4) V žÂö &‚ Ö"¢ š ^W†(BR)" Michaelis ç>(K )& &Òªšf ^WVÂö Ûb‚ ¸ f 7ºê¢ ¾æÚ ®. 5) ®{ Wj

(68) Ž‚ ËV¦b(_f ªVç>)f &Ò ªšï"~ &êöBº SPT& &Ë ¸f r~ ç&&ê ¢ ¾æîb– ^WV·ö &šBº æO^

(69) & &Ë ¸f r~ ç&&ê¢ ¾æÚî . m. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.

(70) BçÁš*^Á;æÁšFêÁFÿ‚Á·æö. 38. Ò Ò  ’>¯ö ôf êæj " ‚“ö¶K’²~ Fÿ‚ ;Òþþ 6Òãî .. ^^ò 1. 2.. 3.. 4.. 5.. 6.. 7.. ~ã¦. ß;J".*JJ~Á¦Ò . , 2001 , available at http://www.me.go.kr. “Biodegradation of gasoline additives MTBE (Methyl-tertButyl Ether) and other oxygenates”, available at http:// kuic.kyonggi.ac.kr/~swchang. Kao, C.M. and Wang C.C., “Control of BTEX migration by intrinsic bioremediation at a gasoline spill site”, Water Research, 34(13), 3413-3423 (2000). Choi, K.-Y., Yu, D., Yang, J.-W., “Health risk assessment of oil leakage from a gas station”, J. of KSEE, 21(9), 1761-1771 (1999). Nakayama, A., Koyoshi, S., Morisawa, S., and Yagi, T., “Comparison of the mutations induced by p-benzoquinone, a benzene metabolite, in human and mouse cells”, Mutation Research, 470(2), 147-153 (2000). Spengle, J.D. and Dockery, D.W., “Personal exposure to respirable particulates and sulfates”, Journal of Air Pollution Control Association, 31, 153-159 (1981). Yu, D., Lee, H. S., Kim, S.-J., and Yang, J.-W, “Risk assessment of indoor pollution by BTEX released from ground-. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. water”, J. KOSAE, 18, 373-381 (2002). 8. Kim, S.-J., Cho, H.-J., Park, J.-Y., Yang, J.-W., and Yu, D., “A physiologically based pharmacokinetic model for contaminated indoor air from groundwater containing BTEX by inhalation pathway”, J. of KSEE. 24, 1465-1478 (2002). 9. Travis, C.C., Quillen, J.L., and Arms, A.D., “Pharmacokinetic of benzene”, Toxicol. Appl. Pharmacol, 102, 400-420 (1990). 10. Yu, D., “Uncertainty analysis of a pharmacokinetic modeling for inorganic arsenic”, Toxicol. Appl. Pharmacol, 70, 281-295 (1999). 11. Tardif, R., Charest-tardif, G., Brodeur, L., and Krishnan, K., “Physiologically based pharmacokinetic modeling of a ternary mixture of alkyl benzenes in rats and human”, Toxicol. Appl. Pharmacol, 144, 120-134 (1997). 12. Haddad, S., Tardif, R., CharestTardif, G., and Krishnan, K., “Physiological modeling of the toxico-kinetic interactions in a quaternary mixture of aromatic hydrocarbon”, Toxicol. Appl. Pharmacol, 161(3), 249-257 (1999). 13. Yu, D., Lee, H.S., Kim, S.-J., and Yang, J.-W., “Sensitivity and uncertainty analysis of two-compartment model for the indoor radon pollution”, J. KOSAE, 18, 327-334 (2002). 14. McKone, T.E., “Human exposure to volatile organic compounds in household tap water: the indoor inhalation pathway”, Environ. Sci. Technol., 21, 1194-1201 (1987). 15. Bogen, K.T. and McKone, T.E., “Linking indoor air and pharmacokinetic models to assess tetrachloroethylene risk”, Risk analysis, 8(4), 509-520 (1988)..

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