methods used by FDA and EPA to evaluate drug and chemical toxicity in humans inorder to foster rigor and transparency in regulatory decision making. We will brieflydescribe existing data on US population exposure to commercial chemicals, pesticides,human and veterinary drugs. We will compare toxicity assessment procedures<strong>for</strong> these chemical types through document review and interviews with Agency personnel.We will present project findings and recommendations <strong>for</strong> a unified set ofprinciples <strong>for</strong> safety evaluation of substances.P.7 Nakanishi J, Gamo M, Ema M, Ogura I, Kobayashi N; j-nakanishi@aist.go.jpAdvanced Industrial Science and Technology (AIST)PROPOSAL FOR AN OCCUPATIONAL EXPOSURE LIMIT OF CAR-BON NANOTUBES BASED ON THEIR RISK EVALUATIONThe risk evaluation associated with carbon nanotubes (multi-, double- and single-walled)was carried out <strong>for</strong> the purpose of deriving the occupational exposurelimit (OEL) and making a model framework to assess risks from emerging technology.The OEL is derived from rat toxicity studies including inhalation exposure testsand intratracheal instillation tests in which the inflammation is taken as a toxicityendpoint, and biokinetic study of retained carbon nanotubes (CNTs) in the rat lung.To obtain the general biological effects caused by CNTs, various simplified tests andestimation methods were applied. Among them, the most representative one is thebiaxial approach. Using this approach, we revealed that the biological activity due toCNTs is strongly dependent on their BET specific surface area irrespective of multiwalled,double-walled or single-walled CNTs. In other words, the distinction of multiwalledCNTs from single-walled CNTs is not significant. There<strong>for</strong>e, we proposedone value of OEL of 0.03 mg/m3 irrespective of CNT classification, which shouldbe applied according to the specific surface area of CNTs.In addition, we examinedand discussed the possible causal relationship between cancer and CNT exposure.Although we cannot arrive at a distinct conclusion at present, the experimental resultswe have obtained to date are consistent with our working hypothesis that CNTexposure increases the incidence of cancer after prolonged severe inflammation dueto massive exposure. Considering such situation, we proposed the OEL as a periodlimitedone <strong>for</strong> about ten years, which should be reviewed after about ten years, andwrote it in the notation of OEL(PL).P.70 Nakayachi K; nakayachi@mail.doshisha.ac.jpDoshisha UniversityTRUST IN ORGANIZATIONS RELEVANT TO THE TOHOKU EARTH-QUAKE AND TO THE CRISIS AT THE FUKUSHIMA DAIICHI NUCLE-AR POWER PLANTThe Tohoku Earthquake caused over 15,000 deaths, and more than 8,000 arestill missing. It also caused the ongoing crisis at the Fukushima Daiichi nuclear power150plant. The massive damage resulting from the earthquake and the chaos caused by thepower plant crisis seemed to destroy the public’s trust in the risk managers relevantto these issues. The purposes of this study are to clarify the levels of public trust inthe organizations relevant to the issues and to examine the primary factors definingthe levels of trust. One thousand and thirty adults in Japan participated in the survey.They were asked to evaluate their trust in, value similarity to, competency of, andmotivation of six organizations using three items <strong>for</strong> each factor on five-point Likertscales. The results of the mean ratings showed that the least trusted organizationwas Tokyo Electric Power Company (TEPCO), which runs the Fukushima Daiichinuclear power plant, followed by the Nuclear and Industrial Safety Agency (NISA),which is responsible <strong>for</strong> the administration of nuclear safety issues. The MeteorologicalResearch Institute, which is the national agency studying the tsunami <strong>for</strong>ecast wasrated the highest of the six, followed by the East Japan Railway Company, which was<strong>for</strong>ced to suspend operations, causing millions to have to walk long distances home.The Earthquake Research Institute of the University of Tokyo and the Food SafetyCommission were in the middle. Intuitively, the expectation would be that TEPCOand NISA lost public trust due to the lack of competency in resolving the accident.The results of structural equation modeling revealed, however, that their path coefficientsfrom value similarity to trust were the greatest of the six. The negative correlatebetween the mean trust and path coefficients in the organizations was extremely high.The implication of the findings is clear: The more trust is destroyed, the more valuesimilarity matters.P.59 Nance P, Haber L, Maier A, Patterson J; nance@tera.orgToxicology Excellence <strong>for</strong> <strong>Risk</strong> AssessmentSHIPWRECKED: FINDING THE LIFE RAFT OF KNOWLEDGE FORRISK ASSESSMENT<strong>Risk</strong> assessment is comprised of a diverse sea of experts. While certain areas ofexpertise may be emphasized <strong>for</strong> different issues or applications, the effective applicationof risk assessment to aid in problem solving and decision making is a multidisciplinaryef<strong>for</strong>t. While experts may be familiar with multiple aspects of the NationalAcademy of Sciences risk assessment paradigm, no one person can be an expertin all relevant areas. There<strong>for</strong>e, collaboration among people with complementaryexpertise can often provide added value in risk assessments. The NAS (2009) frameworkillustrates the diversity of knowledge needed <strong>for</strong> a purpose-focused risk assessment.In addition to hazard characterization, dose-response assessment, exposureassessment, and risk characterization, the framework highlights the importance ofproblem <strong>for</strong>mulation, risk communication, and decision analysis. Consideration ofthe framework and underlying issues allows the identification of key knowledge areas<strong>for</strong> different aspects of the risk assessment paradigm. Using the NAS risk paradigm,an educational model was developed to allow risk assessors to assess their knowledgebase and construct a curriculum to better fit their needs in risk assessment.
T3-G.3 Nascarella MA; mnascarella@gradientcorp.comGradientEVALUATING BIPHASIC DOSE-RESPONSES IN NANOTOXICOLOGYASSAYSThe term hormesis describes a dose-response relationship that is characterizedby a response that is opposite above and below the toxicological or pharmacologicalthreshold. Previous reports have shown that this relationship is ubiquitous in the responseof pharmaceuticals, metals, organic chemicals, radiation, and physical stressoragents. Recent data suggest that various nanomaterials may also exhibit a hormeticdose-response. This analysis quantifies the parameters of the hormetic biphasicdose-responses (e.g., width and magnitude of stimulation) in various nanotoxicologystudies. This methodology is useful in characterizing screening assays that attemptto parse the observed toxicological dose-response data into categories based on themagnitude of the response. For example, these methods may be used to quickly identifyNP induced hormetic responses that are either desirably enhanced (e.g., neuronalcell viability) or undesirably stimulated (e.g., low dose stimulation of tumor cells).W4-I.5 Neumann JE, Martinich J, Hudgens D, Emanuel K, Ravela S, Kirshen P,Bosma K, Ludwig L, Herter J; jneumann@indecon.comIndustrial Economics, Incorporated, Climate Change Division, USEPA, Wind<strong>Risk</strong>Tech, BattelleMemorial Institute, Woods Hole Group, Independent ConsultantASSESSING THE ECONOMIC IMPACT OF CLIMATE CHANGE IN-DUCED SEA LEVEL RISE AND STORM SURGE IN THE U.S.Sea-level rise (SLR) from thermal expansion and melting of large ice sheetsunder business as usual greenhouse gas (GHG) emission scenarios increases the riskof permanent inundation of coastal lands and structures. In previous work, we developedthe National Coastal Property Model, a spatially comprehensive model of theUS coastline. We found economic impacts of permanent inundation of more than$63 billion cumulative discounted cost (at 3%) <strong>for</strong> a 68 cm SLR by 2100, and $230billion undiscounted. The values from permanent inundation alone, however, maystill under estimate the true risk as SLR also increases the risk of damage from surgesfrom periodic storms. Presently, no comprehensive, dynamic estimates of the jointimpact of SLR and storm surge exist <strong>for</strong> the US. In this work, we extend our NationalCoastal Property Model to incorporate storm surge, and apply it to the EPA stabilizationscenarios developed <strong>for</strong> this symposium. Our approach first involves simulatingstorm generation activity over the 21st century and using the generated wind fieldsto drive NOAA’s Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model.We use SLOSH to generate cumulative density functions (CDFs) of storm surgeheight at selected locations along the U.S. coastline. Next, we calculate the expectedvalue dollar damages associated with the simulated storm surge CDFs, translating thestorm surge CDF to a damage CDF using the elevation, property value, and coastlinedata in the existing coastal property model, along with US Army Corps of Engineersflood level-damage relationships. <strong>Final</strong>ly, we evaluate the adaptation response (i.e.,abandon, armor, nourish, elevate) to the joint risks presented by SLR and storm surgeand estimate the cost of this response. Preliminary results suggest that incorporatingstorm surge risk increases estimates of the economic impacts of SLR by a factor ofthree to five.T3-B.3 Oberg T, Iqbal MS; tomas.oberg@lnu.seLinnaeus UniversityUNCERTAINTY IN MULTIMEDIA MASS-BALANCE MODELS:AN EVALUATION BY FUZZY ARITHMETIC AND PROBABILITYBOUNDS ANALYSISMultimedia mass-balance models are instrumental in chemical risk and safetyassessment. The key compound related properties in such models describe partitioningbetween media and persistence (environmental half-lives). Uncertainty in determiningthese properties can be separated into random and systematic components,requiring different types of representation. Here we evaluate two approaches thatare suitable to treat also systematic errors; fuzzy arithmetic and probability boundsanalysis. When a best estimate and a range can be computed <strong>for</strong> an input parameter,then it is possible to characterize the uncertainty with a triangular fuzzy number (possibilitydistribution) or an equivalent probability box bound by two uni<strong>for</strong>m distributions.We have applied empirical and estimation data <strong>for</strong> a number of well-knownenvironmental pollutants in a Level I and II equilibrium criterion model, as illustrativecases <strong>for</strong> this evaluation. Propagation of uncertainty by discrete probability calculusor interval arithmetic can be done at a low computational cost and gives maximumflexibility in applying different approaches. Our evaluation seems to suggest that thedifference between fuzzy arithmetic and probability bounds analysis is small, at least<strong>for</strong> the specific cases investigated. The fuzzy arithmetic approach is, however, lessconservative than probability bounds analysis if the assumption of independence isremoved. Both approaches are sensitive to repeated parameters that may inflate theuncertainty estimate. Uncertainty described by probability boxes was there<strong>for</strong>e alsopropagated through the model by Monte Carlo-simulation to show how this problemcan be avoided.W4-H.1 Odderstol TW; thad.odderstol@dhs.govDepartment of Homeland Security, National Cyber Security DivisionIDENTIFYING AND MANAGING NATIONAL-LEVEL CYBERSECU-RITY RISKThis presentation will introduce a top-down approach to cyber infrastructurerisk assessment and management, describes the approach that DHS’s NCSD leveragesin its engagement with critical infrastructure and key resources (CIKR) sectors,and discusses why managing cybersecurity risks is an increasingly critical activity <strong>for</strong>151
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These freely available tools apply
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M2-C.1 Abraham IM, Henry S; abraham
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SECOND FLOOR Floor MapConvention Ce