### Abstract

Stochastic risk assessment models offer the potential for being more objective by explicitly considering variability. Such a model has been developed for a site contaminated with polychlorinated biphenyls (PCBs) by representing the parameters used in the risk assessment as probability distribution functions (pdf) rather than single values. The pdf for total risk calculated by the model is approximately lognormal, although the pdf of parameters in the model take on a variety of forms. A first-order approximation to the model provides good estimates for the high end of the distribution, which is of concern when conservative risk assessments are desirable. The first-order approximation provides good estimates even when the level of variation of the parameters is increased well above levels that are normally expected. A procedure was developed to apply the stochastic risk assessment model in a series of calculations to determine preliminary remediation goals for the site. In addition, a simplified technique was developed to calculate preliminary remediation goals using only results from simulating risk with initial site conditions.

Original language | English (US) |
---|---|

Pages (from-to) | 380-388 |

Number of pages | 9 |

Journal | Journal of Environmental Engineering |

Volume | 124 |

Issue number | 4 |

State | Published - 1998 |

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### ASJC Scopus subject areas

- Civil and Structural Engineering
- Environmental Science(all)
- Environmental Chemistry
- Environmental Engineering
- Earth and Planetary Sciences(all)

### Cite this

*Journal of Environmental Engineering*,

*124*(4), 380-388.

**Stochastic risk assessment of sites contaminated by hazardous wastes.** / Batchelor, Bill; Valdes, Juan B; Araganth, Vishwanathan.

Research output: Contribution to journal › Article

*Journal of Environmental Engineering*, vol. 124, no. 4, pp. 380-388.

}

TY - JOUR

T1 - Stochastic risk assessment of sites contaminated by hazardous wastes

AU - Batchelor, Bill

AU - Valdes, Juan B

AU - Araganth, Vishwanathan

PY - 1998

Y1 - 1998

N2 - Stochastic risk assessment models offer the potential for being more objective by explicitly considering variability. Such a model has been developed for a site contaminated with polychlorinated biphenyls (PCBs) by representing the parameters used in the risk assessment as probability distribution functions (pdf) rather than single values. The pdf for total risk calculated by the model is approximately lognormal, although the pdf of parameters in the model take on a variety of forms. A first-order approximation to the model provides good estimates for the high end of the distribution, which is of concern when conservative risk assessments are desirable. The first-order approximation provides good estimates even when the level of variation of the parameters is increased well above levels that are normally expected. A procedure was developed to apply the stochastic risk assessment model in a series of calculations to determine preliminary remediation goals for the site. In addition, a simplified technique was developed to calculate preliminary remediation goals using only results from simulating risk with initial site conditions.

AB - Stochastic risk assessment models offer the potential for being more objective by explicitly considering variability. Such a model has been developed for a site contaminated with polychlorinated biphenyls (PCBs) by representing the parameters used in the risk assessment as probability distribution functions (pdf) rather than single values. The pdf for total risk calculated by the model is approximately lognormal, although the pdf of parameters in the model take on a variety of forms. A first-order approximation to the model provides good estimates for the high end of the distribution, which is of concern when conservative risk assessments are desirable. The first-order approximation provides good estimates even when the level of variation of the parameters is increased well above levels that are normally expected. A procedure was developed to apply the stochastic risk assessment model in a series of calculations to determine preliminary remediation goals for the site. In addition, a simplified technique was developed to calculate preliminary remediation goals using only results from simulating risk with initial site conditions.

UR - http://www.scopus.com/inward/record.url?scp=0031902694&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031902694&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031902694

VL - 124

SP - 380

EP - 388

JO - Journal of Environmental Engineering, ASCE

JF - Journal of Environmental Engineering, ASCE

SN - 0733-9372

IS - 4

ER -