Quantitative Structure-Activity Relationship Modeling of Biofiltration Removal
A model for predicting biofiltration efficiency is developed and evaluated in this study. This model, based on quantitative structure-activity relationships (QSARs), relates the biofiltration maximum removal capacity of a pollutant to its physicochemical intrinsic descriptors. After a preliminary ex...
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Veröffentlicht in: | Journal of environmental engineering (New York, N.Y.) N.Y.), 2002-10, Vol.128 (10), p.953-959 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A model for predicting biofiltration efficiency is developed and evaluated in this study. This model, based on quantitative structure-activity relationships (QSARs), relates the biofiltration maximum removal capacity of a pollutant to its physicochemical intrinsic descriptors. After a preliminary experimental determination of biofilter removal, for 11 volatile organic compounds, collected data allowed calibration of the model parameters. A screening of different possible molecule describing parameters determined that three of them play a significant role in biofiltration: the Henry's law constant, the octanol-water partition coefficient, and the first-order connectivity index. The use of these parameters for evaluating biofiltration removal by a QSAR modeling approach allowed good agreement between experimental and model values, while keeping an excellent statistical significance. |
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ISSN: | 0733-9372 1943-7870 |
DOI: | 10.1061/(ASCE)0733-9372(2002)128:10(953) |