Predicting Removal Efficiency of Formaldehyde from Synthetic Contaminated Air in Biotrickling Filter Using Artificial Neural Network Modeling
| Autor(en): |
Mohammad Delnavaz
(Associate Professor, Faculty of Engineering, Dept. of Civil Engineering, Kharazmi Univ., No. 43, South Mofatteh Ave., Tehran 15719-14911, I.R. Iran (corresponding author))
Javad Farahbakhsh (M.Sc. Student, Environmental Engineering, Faculty of Engineering, Dept. of Civil Engineering, Kharazmi Univ., No. 43, South Mofatteh Ave., Tehran 15719-14911, I.R. Iran.) Amirreza Talaiekhozani (Assistant Professor, Dept. of Chemical Engineering, Jami Institute of Technology, Foulad Shahr, Ayatollah Taleghani Blvd., Isfahan 84919-63395, I.R. Iran.) Komeil Mehdinezhad Nouri (M.Sc. Student, Environmental Engineering, Faculty of Engineering, Dept. of Civil Engineering, Kharazmi Univ., No. 43, South Mofatteh Ave., Tehran 15719-14911, I.R. Iran.) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Journal of Environmental Engineering (ASCE), September 2019, n. 9, v. 145 |
| Seite(n): | 04019056 |
| DOI: | 10.1061/(asce)ee.1943-7870.0001566 |
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