| contributor author | Aaron A. Jennings | |
| date accessioned | 2017-05-08T21:41:23Z | |
| date available | 2017-05-08T21:41:23Z | |
| date copyright | September 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%29ee%2E1943-7870%2E0000045.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59445 | |
| description abstract | Residential surface soil regulatory guidance values (RGVs) specify the threshold at which soil contamination requires action. Usually, these are risk-based values based on child ingestion, inhalation, and dermal exposure. Benzene, toluene, ethylbenzene, and xylenes (BTEX) are among the five most commonly regulated soil contaminants in the United States and worldwide. More than 100 regulatory jurisdictions have established surface soil RGVs for BTEX compounds. Analysis of these values indicates that they vary by several orders of magnitude and appear to fit a lognormal random variable model with values well dispersed across the number spans. The RGVs applied to benzene are statistically distinct from those applied to TEX contamination, but the TEX values appear to be statistically indistinguishable. The magnitude of difference between TEX RGVs of different jurisdictions appears to be more significant than differences in the T, E, and X values specified by any one jurisdiction. Although value distributions are dominated by randomness, some contain clusters of points that are unlikely to be random and may represent consensus on appropriate values. Where “consensus clusters” exist, they should be identified and explored. The mechanistic explanations for cluster values may yield methods of reducing RGV variability. | |
| publisher | American Society of Civil Engineers | |
| title | Statistical Analysis of BTEX Surface Soil Regulatory Guidance Values | |
| type | Journal Paper | |
| journal volume | 135 | |
| journal issue | 9 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/(ASCE)EE.1943-7870.0000037 | |
| tree | Journal of Environmental Engineering:;2009:;Volume ( 135 ):;issue: 009 | |
| contenttype | Fulltext | |