| contributor author | Jia Tang | |
| contributor author | Daniel L. Gallagher | |
| contributor author | Andrea M. Dietrich | |
| date accessioned | 2017-05-08T21:42:24Z | |
| date available | 2017-05-08T21:42:24Z | |
| date copyright | February 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29ee%2E1943-7870%2E0000652.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/60090 | |
| description abstract | A model was developed and validated for predicting solubility and diffusion coefficients for contaminants permeating polyethylene (PE) materials used for water pipes and geomembranes. Model development was based on diffusivity and solubility of 13 contaminants and six PE materials that were new and/or aged in chlorinated water. Physical and chemical properties of the contaminants and PEs were included as variables in the model. Tree regression was used to select variables, and multiple linear regression was used to develop predictive equations for contaminant diffusivity and solubility in PE. Organic contaminant properties, especially dipole moment and octanol-water partition coefficient, had greater predictive capability than PE properties. Coefficients of determination | |
| publisher | American Society of Civil Engineers | |
| title | Predicting Permeation of Organic Contaminants into Polyethylenes | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 2 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/(ASCE)EE.1943-7870.0000644 | |
| tree | Journal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 002 | |
| contenttype | Fulltext | |