sion <strong>Program</strong> studies in New York City, following releases of perfluorocarbon tracersfrom multiple locations. Computational models of the 1 km X 1 km domain weredeveloped <strong>for</strong> CFD, QUIC, and hybrid model simulations. Results indicate that eventhough CFD is more accurate than the other models, QUIC-CFD also provides areasonable estimate of tracer gas concentrations with significant time savings.M3-C.3 McClellan G, Weber P, Asgharian B, Price O; gene.mcclellan@ara.comApplied Research Associates, Inc.MODELING RESPIRATORY MECHANICS IN ANIMALS: TULAREMIAIN THE RHESUS MONKEYDeposition And Response in the Respiratory Tract (DARRT) is an improvedmathematical model <strong>for</strong> predicting the probability of infection or injury from exposureto aerosols of chemical and biological (CB) agents and to better describe the resultingmedical impact. Many present models assume that only particles reaching thelung are of concern and there<strong>for</strong>e that accounting <strong>for</strong> the inhalation of 1-5 micron“respirable” particles is adequate. Further, most models of human response to CBagents ignore the mechanics of the inhalation process and simply correlate observedbiological endpoints with exposure (that is, presented dose). However, researchshows that accounting <strong>for</strong> larger particles and deposition location is important <strong>for</strong> determiningthe probability and severity of the biological response. Coarse particle depositionin the nose, mouth and throat can pose a substantial health risk, particularly<strong>for</strong> infectious agents, Furthermore, small particles can deposit in different parts ofthe respiratory tract and initiate correspondingly variable biological responses. Muchof the data <strong>for</strong> understanding these risks is taken from exposure of laboratory animals.The DARRT model uses the Multiple Path Particle Dosimetry (MPPD) modelto estimate regional respiratory doses of inhaled aerosols <strong>for</strong> humans as a functionof the particle size. In particular, DARRT includes a particle size-dependent model<strong>for</strong> the risk of aerosol infection by F. tularensis, the causative agent <strong>for</strong> tularemia.An important source of data <strong>for</strong> modeling tularemia in humans is aerosol exposuresconducted <strong>for</strong> tularemia in rhesus monkeys. To date, application of the monkey datato predictions <strong>for</strong> humans has assumed equivalence <strong>for</strong> the mechanics of respirationbetween humans and the rhesus monkeys. In current work, we are developingan MPPD model <strong>for</strong> the rhesus monkey to improve the extrapolation of to humanexposures by accounting <strong>for</strong> respiratory tract differences.P.97 McComas K, Decker D, Rickard L, Wild M, Higgins C, Wong D, CastleK; kam19@cornell.eduCornell University, National Park ServiceCOMMUNICATING ABOUT ONE HEALTH: EXAMINING THE RISKSOF A “SHARED RISK” PARADIGMRecent years have witnessed increasing endorsement of the One Health concept,which emphasizes connections between human, animal, and environmental142health and advocates the collaboration between human and veterinary medicine andallied fields to promote the health of all species and the planet we share. The importanceof a One Health approach is even more apparent given the accelerated impactsclimate change and other human induced changes are predicted to have on reducingbiodiversity and increasing the prevalence of zoonotic diseases over the next severaldecades. Using animals as sentinels <strong>for</strong> human health dates back at least to the timewhen canaries were used in coal mines to warn miners of dangerous levels of toxicgas. Humans have also served as sentinels <strong>for</strong> animals, such as when human disease ismore readily diagnosed than wildlife deaths in rural areas. The One Health approachbuilds on these precedents by advocating a shift to a “shared risk” paradigm. Ef<strong>for</strong>tsto adopt the One Health approach have created a parallel urgency to understand howto communicate shared risk. Poorly crafted risk messages could, <strong>for</strong> instance, lead toless public support <strong>for</strong> species conservation or backlash against certain species thatcould be viewed as disease vectors rather than fellow victims. One has only to look atthe recent unnecessary slaughter of pigs in response to the “swine flu” pandemic tosee the consequences of poorly designed risk communication. This presentation willlay out a framework <strong>for</strong> theoretically in<strong>for</strong>med research in consultation with the NationalPark Service that seeks to address the gap in social science research. Examplesfrom recent research and the literature will augment the justification <strong>for</strong> a closer lookat the risks of the “shared risk” paradigm.P.27 McCready D, Arnold S, Fontaine D; dmccready@dow.comThe Dow Chemical CompanyEVALUATION OF FORMALDEHYDE AIR EMISSIONS FROM A WASH-ING MACHINE AND POTENTIAL HUMAN EXPOSUREConsumers may be exposed to a <strong>for</strong>maldehyde preservative during the use ofliquid laundry detergent. This study presented a refined approach to predict <strong>for</strong>maldehydeair emissions from a washing machine and the subsequent vapor concentrationsin the laundry room air using the USEPA Simulation Tool Kit <strong>for</strong> Indoor AirQuality and Inhalation Exposure (IAQX). The model was used to refine an earlierUSEPA study, which showed unacceptable consumer exposure. The <strong>for</strong>maldehydeevaporation from a washing machine was calculated using the Henry’s law constantand the overall gas-phase mass transfer coefficient. The mass transfer coefficientswere calculated using data from washing machine experiments conducted <strong>for</strong> theUSEPA. Human exposure was assessed using the time weighted average (15 minute,24 hour, and lifetime) vapor concentrations in the room. The predicted <strong>for</strong>maldehydeexposures were less than the USEPA proposed toxicity benchmarks targets <strong>for</strong>noncancer effects and cancer risk. The mass balance estimated 99.7% of the initial<strong>for</strong>maldehyde mass in the washing machine was discharged down the drain with thewash water and only 0.3% was emitted into the room air. This paper thoroughlyevaluated the USEPA IAQX model, provided new <strong>for</strong>maldehyde mass transport pa-
ameters, and enabled a more robust analysis <strong>for</strong> <strong>for</strong>maldehyde releasing detergentsand fabric softeners.T3-B.2 McDougal JN, Guy RH, Leighton T, Bronaugh RL, Shah PV, Olin SS,O’Brien TM, Canady RA; solin@ilsi.orgWright State University, University of Bath, UK, US Environmental Protection Agency, US Foodand Drug Administration, ILSI Research Foundation, EcolabA TIERED APPROACH TO DERMAL EXPOSURE ASSESSMENT FORANTIMICROBIAL PESTICIDESThe Threshold of Toxicological Concern (TTC) is a risk assessment tool <strong>for</strong>chemicals with limited toxicity data, providing health-protective intake limits (TTCvalues) <strong>for</strong> broad structure-based toxicity categories. The TTC concept evolved fromFDA’s Threshold of Regulation <strong>for</strong> food contact materials (1995) and has been usedroutinely by the Joint FAO/WHO Expert Committee on Food Additives and theEuropean Food Safety Authority <strong>for</strong> the evaluation of flavoring substances. Manyother applications have been explored in the past few years, and this paper presentsan application of the TTC involving potential dermal exposures to antimicrobial pesticides(biocides). The basic TTC decision tree was constructed through analysis ofa database of chronic oral toxicity studies, and the resultant TTC values assume oralexposure and systemic dose. Antimicrobial pesticides, however, have a number ofcommon uses with potential skin exposure. Thus, a tiered screening level approachhas been developed to estimate the internal dose from skin uptake of antimicrobialsin typical exposure scenarios <strong>for</strong> comparison with appropriate TTC values. Examplesinclude contact with workplace liquid <strong>for</strong>mulations or with treated (or contaminated)clothing. Although skin uptake of the antimicrobials has not been extensively studied,the rate of skin penetration <strong>for</strong> a chemical can be correlated with its physicochemicalcharacteristics and there<strong>for</strong>e it is possible to make approximate, conservative predictionsof uptake. The tiered dermal approach described here uses progressively morerealistic (and data intensive) assumptions in estimating the amount of antimicrobialpenetration through skin to screen <strong>for</strong> level of concern. The approach can be usedto identify antimicrobial chemicals <strong>for</strong> which the potential <strong>for</strong> harm from dermalexposure is negligible or where the collection of additional toxicity, exposure or physicochemicaldata will be necessary to make better estimates of risk. (This abstract doesnot necessarily represent EPA or FDA policy.)P.120 McKenzie A, Sloan B, Blewett C, Nicol A-M; alimck@interchange.ubc.caCarex Canada, University of British ColumbiaRADON IN THE PUBLIC EYE: A REVIEW OF THE EVIDENCE FORRADON RISK PERCEPTION, RISK COMMUNICATION AND MITIGA-TION POTENTIALRadon is a known human carcinogen and the second leading cause of lungcancer in Canada. Studies indicate 7% of Canadian homes and public buildings exceed200 Becquerels per cubic metre (Bq/m3), the current regulatory level. Thoughresearch shows a 100 Bq/m³ increase in radon results in an 11% increase in risk oflung cancer, studies indicate only 41% of Canadians are aware of the risks posed byradon in indoor environments. We examined the state of the literature on the public’sknowledge, risk perception and willingness to act in relation to radon exposure. Relevantquantitative papers examining evaluations of radon risk communication programsand educational campaigns, experimental interventions, and risk perceptionsurveys were identified (n=56). Data was collated and entered into a spreadsheet <strong>for</strong>analysis. More than twenty different tools were used to increase awareness about thehazards of radon in the home. Overall, improvement in knowledge about the risks associatedwith radon was only weakly correlated with undertaking mitigation strategies.Targeted messaging was more successful that broad messaging. The only variablesassociated with remediating were higher educational attainment and higher householdincome. A targeted, multistep approach to radon risk communication is proposed toincrease willingness to remediate. For families, including risks to children or includingchildren in campaigns may make risks more salient. Other suggestions include craftingprograms that address education, testing and mitigation as separate entities. <strong>Risk</strong>communication strategies that take this approach will also allow <strong>for</strong> the issue of remediationcost to be addressed specifically <strong>for</strong> low-income households where necessary.Radon is a widely spread and insidious agent the Canadian public is poorly in<strong>for</strong>medabout. Appropriately designed educational campaigns will be a key tool in the promotionof awareness and the initiation of self-protective behaviour.P.18 McMillan NJ, Tollar E, Wightman J, Huckett J; mcmillann@battelle.orgBattelleITRA SENSITIVITY STUDY: SUBWAY EVENT RESPONSE ANALYSISHomeland Security Presidential Directive (HSPD) 18 (Medical Countermeasuresagainst Weapons of Mass Destruction) requires a risk assessment of Chemical,Biological, Radiological, and Nuclear terrorism <strong>for</strong> the purpose of risk based decisionsupport in the area of medical countermeasure acquisition and development. In supportof HSPD-18, a sensitivity study on the effectiveness of medical and detectionbasedresponses in reducing casualties and deaths in a set of chemical and radiologicalevents was conducted. This analysis details the analytic models used to predict the143
- Page 4 and 5:
Ballroom C1Monday10:30 AM-NoonM2-A
- Page 9 and 10:
US Environmental Protection Agency
- Page 11 and 12:
Workshops - Sunday, December 4Full
- Page 13 and 14:
WK9: Eliciting Judgments to Inform
- Page 15 and 16:
These freely available tools apply
- Page 17 and 18:
Plenary SessionsAll Plenary Session
- Page 19 and 20:
10:30 AM-NoonRoom 8/9M2-F Panel Dis
- Page 21 and 22:
1:30-3:00 PMRoom 8/9M3-F Symposium:
- Page 23 and 24:
4:50 pm M4-E.5Modeling of landscape
- Page 25 and 26:
P.35 Health risk assessment of meta
- Page 27 and 28:
Works-In-ProgressP.99 Assessing the
- Page 29 and 30:
10:30 AM-NoonRoom 8/9T2-F Error in
- Page 31 and 32:
1:30-3:00 PMRoom 8/9T3-F AppliedMet
- Page 34 and 35:
8:30-10:00 AMBallroom C1W1-A Sympos
- Page 36 and 37:
10:30 AM-NoonBallroom C1W2-A Commun
- Page 38:
1:30-3:00 PMBallroom C1W3-A Communi
- Page 41 and 42:
3:30-4:30 PMRoom 8/9W4-F Environmen
- Page 43 and 44:
oth recent advances, and ongoing ch
- Page 45 and 46:
M3-H Symposium: Analyzing and Manag
- Page 47 and 48:
Part 2, we consider the use of expe
- Page 49 and 50:
T4-E Symposium: Food Safety Risk Pr
- Page 51 and 52:
While integral to guiding the devel
- Page 53 and 54:
have contributed to past difficulti
- Page 55 and 56:
M2-C.1 Abraham IM, Henry S; abraham
- Page 58 and 59:
serious accident of the Tokyo Elect
- Page 60 and 61:
een found that independence assumpt
- Page 62 and 63:
W4-I.1 Beach RH, McCarl BA, Ohrel S
- Page 64 and 65:
M4-A.1 Berube DM; dmberube@ncsu.edu
- Page 66 and 67:
W4-A.1 Boerner FU, Jardine C, Dried
- Page 69 and 70:
M2-G.1 Brink SA, Davidson RA; rdavi
- Page 71 and 72:
M4-H.5 Buede DM, Ezell BC, Guikema
- Page 73 and 74:
same scientists’ environmental he
- Page 75 and 76:
periods of time. Successful adaptat
- Page 77 and 78:
P.123 Charnley G, Melnikov F, Beck
- Page 79 and 80:
derived from mouse and rat testes t
- Page 81 and 82:
esources under any circumstance in
- Page 83 and 84:
W4-B.3 Convertino M, Collier ZA, Va
- Page 85 and 86:
addition, over 10% thought that eve
- Page 87 and 88:
Reference Dose (RfD). The average e
- Page 89 and 90:
W2-H.2 Demuth JL, Morss RE, Morrow
- Page 91 and 92:
T4-H.4 Dingus CA, McMillan NJ, Born
- Page 93 and 94: methods research priorities and pot
- Page 95 and 96: W3-A.2 Eggers SL, Thorne SL, Sousa
- Page 97 and 98: tions) were < 1 for sub-populations
- Page 99 and 100: sociated with model error. Second,
- Page 101 and 102: inter-donation interval to mitigate
- Page 103 and 104: Fukushima nuclear accident coverage
- Page 105 and 106: for growth inhibitor use and retail
- Page 107 and 108: W1-C.1 Goble R, Hattis D; rgoble@cl
- Page 109 and 110: stakeholders. The utility of this m
- Page 111 and 112: T2-E.4 Guidotti TL; tee.guidotti@gm
- Page 113 and 114: M4-C.2 Haines DA, Murray JL, Donald
- Page 115 and 116: providing normative information of
- Page 117 and 118: then allow both systems to operate
- Page 119 and 120: tious disease outbreaks. Several cl
- Page 121 and 122: P.122 Hosseinali Mirza V, de Marcel
- Page 123 and 124: W2-B.1 Isukapalli SS, Brinkerhoff C
- Page 125 and 126: M3-G.3 Jardine CG, Driedger SM, Fur
- Page 127 and 128: P.88 Johnson BB, Cuite C, Hallman W
- Page 129 and 130: metrics to provide risk management
- Page 131 and 132: M4-C.1 Koch HM, Angerer J; koch@ipa
- Page 133 and 134: certainty factors) and comparative
- Page 135 and 136: T3-D.4 LaRocca S, Guikema SD, Cole
- Page 137 and 138: P.71 Lemus-Martinez C, Lemyre L, Pi
- Page 139 and 140: of excretion, and the increased che
- Page 141 and 142: M2-D.4 MacKenzie CA, Barker K; cmac
- Page 143: isk appetite and optimal risk mitig
- Page 147 and 148: over the nature and format of infor
- Page 149 and 150: Analysis (PRA). Existing parametric
- Page 151 and 152: explosion of a bomb in a building,
- Page 153 and 154: T3-G.3 Nascarella MA; mnascarella@g
- Page 155 and 156: corresponding slowdown in container
- Page 157 and 158: ing the scope and usage of the cybe
- Page 159 and 160: dose for a variety of exposure scen
- Page 161 and 162: “nanofibers”) is relatively und
- Page 163 and 164: ment (CEA), which provides both a f
- Page 165 and 166: T3-D.2 Resurreccion JZ, Santos JR;
- Page 167 and 168: shore wind turbines have yet been b
- Page 169 and 170: T2-D.3 Rypinski AD, Cantral R; Arth
- Page 171 and 172: time and temperature, determining t
- Page 173 and 174: esponse to requests from the EC, th
- Page 175 and 176: ers and inspectors. Analysis examin
- Page 177 and 178: smoked salmon, and associated expos
- Page 179 and 180: and 95th percentiles). Increasing t
- Page 181 and 182: esponse relationship for B. anthrac
- Page 183 and 184: variation on Day 0. Results showed
- Page 185 and 186: sidered. The most significant resul
- Page 187 and 188: lived in a apartment (not including
- Page 189 and 190: W3-C.4 von Stackelberg KE; kvon@eri
- Page 191 and 192: P.12 Waller RR, Dinis MF; rw@protec
- Page 193 and 194: W2-B.6 Wang D, Collier Z, Mitchell-
- Page 195 and 196:
iomonitoring “equivalent” level
- Page 197 and 198:
T4-H.2 Winkel D, Good K, VonNiederh
- Page 199 and 200:
mation insufficiency, risk percepti
- Page 201 and 202:
choices. This work examines these s
- Page 203 and 204:
sults and possible intended or unin
- Page 205 and 206:
AAbadin HG.................... 36,
- Page 207 and 208:
Gray GM............................
- Page 209 and 210:
Peters E...........................
- Page 211 and 212:
SECOND FLOOR Floor MapConvention Ce