Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction-Reference-Cited by-同舟云学术

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Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction

Published:2014-07-12 Issue:8 Volume:225 Page:
ISSN:0049-6979
Container-title:Water, Air, & Soil Pollution
language:en
Short-container-title:Water Air Soil Pollut

Author:

Albergaria José Tomás,Martins F. G.,Alvim-Ferraz M. C. M.,Delerue-Matos C.

Publisher

Springer Science and Business Media LLC

Subject

Pollution,Water Science and Technology,Ecological Modelling,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11270-014-2058-y.pdf

Reference26 articles.

1. Albergaria, J. T., Delerue-Matos, C. M., & Alvim-Ferraz, C. M. (2006). Remediation efficiency of vapour extraction of sandy soils contaminated with cyclohexane: Influence of air flow rate and of water and natural organic matter contents. Environmental Pollution, 143(1), 146–152.

2. Albergaria, J. T., Alvim-Ferraz, M. C. M., & Delerue-Matos, C. (2008). Soil vapor extraction in sandy soils: Influence of airflow rate. Chemosphere, 73(9), 1557–1561.

3. Albergaria, J. T., Alvim-Ferraz, M. D. M., & Delerue-Matos, C. (2012). Remediation of sandy soils contaminated with hydrocarbons and halogenated hydrocarbons by soil vapour extraction. Journal of Environmental Management, 104, 195–201.

4. Alvim-Ferraz, M. C. M., Albergaria, J. T., & Delerue-Matos, C. (2006). Soil remediation time to achieve clean-up goals I: Influence of soil water content. Chemosphere, 62(5), 853–860.

5. Baehr, A. L., Hoag, G. E., & Marley, M. C. (1989). Removing volatile contaminants from the unsaturated zone by inducing advective air-phase transport. Journal of Contaminant Hydrology, 4(1), 1–26.

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