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ARCHIVED REPORTS_XR0011572
EnvironmentalHealth
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GRANT LINE
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2900 - Site Mitigation Program
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PR0503286
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ARCHIVED REPORTS_XR0011572
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Entry Properties
Last modified
1/17/2020 1:15:29 PM
Creation date
1/17/2020 11:31:04 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2900 - Site Mitigation Program
File Section
ARCHIVED REPORTS
FileName_PostFix
XR0011572
RECORD_ID
PR0503286
PE
2953
FACILITY_ID
FA0005766
FACILITY_NAME
MOBIL OIL BULK PLANT
STREET_NUMBER
500
Direction
E
STREET_NAME
GRANT LINE
STREET_TYPE
RD
City
TRACY
Zip
95376
APN
25027008
CURRENT_STATUS
01
SITE_LOCATION
500 E GRANT LINE RD
P_LOCATION
03
P_DISTRICT
005
QC Status
Approved
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EHD - Public
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6 <br /> Human Health Risk Assessment <br /> Former Mobil Oil Bulk Plant 04-343 <br /> 500 East Grant Line Road <br /> Tracy, California <br />' The general population of Northern California is exposed to potentially carcinogenic chemicals <br /> from vehicles, industrial operations, and consumer products. In 1y87, the California Aix <br /> Resources Board (CARB) published a study which quantified the magnitude of population <br />'t exposure from existing sources of 20 air toxics, including benzene. The reported concentration <br /> of benzene in ambient air ranges from 1.0 to 4.9 parts per billion (ppb) (CARB, 1987). The <br />' highest benzene concentrations estimated in this risk assessment are approximately 2 to 8 times <br /> lower than the ambient levels measured by CARB. Therefore, the incremental cancer risk <br /> associated with background ambient levels of benzene is greater than the hypothetical cancer risk <br /> for benzene associated with this risk assessment. A series of pie charts depicting the relationship <br /> between allowable ambient concentrations of benzene (as defined by the ACGIH) and estimated <br /> ambient concentrations of benzene (based on hypothetical current and future site conditions) are <br /> presented in Figures 6a and 6b. <br /> 6.7 MONTE CARLO SIMULATION <br /> ' Monte Carlo simulation is a technique for simulating a complex real world situation that involves <br /> uncertainty. A random number generator is used to generate values for.assumptions which have <br /> been defined by the operator. These assumptions have specific be undary and probability <br /> distributions (i.e., Gaussian, Lognormal, etc.). The generated numbers used in the calculation <br /> ' of forecast values. The calculations are repeated using newly generated values, within the <br /> confines of the boundaries and probabilities. This iterative procedure produces a distribution <br /> ' of values for the forecasted quantity and the probability with which it is likely to occur. <br /> Certainty level shows the certainty of achieving the values in the forecasted range. <br /> ' Monte Carlo simulations were run on the future site use as a retail facility, using Crystal Ball <br /> 2.0, to produce a range of cancer risks (for benzene) and hazard indices (for toluene, <br /> ethylbenzene, and xylenes). The exposure likely to occur at the onsite facility is subject to fewer <br /> confounding variables than the exposures at the nearby retail facilities The assumptions and <br /> ' output for the simulation are listed in Appendix D. Output from the simulation is intended to <br /> provide an approximation of the most likely risk or hazard index for the site. Point estimates <br /> of risks and hazard indices (such as those presented in sections 6.3 and 6.4)produce a numerical <br /> estimate of the desired value. However, the utility of the point estimate is limited to the <br /> 1nU1V1UUc11 jLLU11�eiicai 'vaiu%5 aJJignvta tv .aCh pa u.'::eter of the ri�l; nr ila?arrl 1nrIP.X alum-thm <br /> 30-0136-11 <br /> 6-7 <br /> 1 <br /> LW <br />
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