Biological filtration for membrane pre-treatment and other applications: towards the development of a practically-oriented performance parameter
Notice bibliographique
Résumé
Research Article| June 01 2008 Biological filtration for membrane pre-treatment and other applications: towards the development of a practically-oriented performance parameter P. M. Huck; P. M. Huck 1University of Waterloo, Waterloo, Ontario, Canada Tel.: 1-519-888-4567 ext.32707; E-mail: pm2huck@uwaterloo.ca Search for other works by this author on: This Site PubMed Google Scholar M. M. Sozan´ski M. M. Sozan´ski 2Technical University of Poznan, Poznan, Poland Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2008) 57 (4): 203–224. https://doi.org/10.2166/aqua.2008.010 Article history Received: May 15 2007 Accepted: October 12 2007 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation P. M. Huck, M. M. Sozan´ski; Biological filtration for membrane pre-treatment and other applications: towards the development of a practically-oriented performance parameter. Journal of Water Supply: Research and Technology-Aqua 1 June 2008; 57 (4): 203–224. doi: https://doi.org/10.2166/aqua.2008.010 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Biological processes have a long history of use in drinking water treatment. In recent decades, rapid biological filtration has achieved increasing acceptance. In terms of organic carbon, the classical application of biofiltration has been for the removal of easily biodegradable material, along with the related objectives of reduction in disinfectant demand and byproduct formation. Additional objectives receiving emphasis more recently include the removal of trace contaminants and the use of biofiltration as a membrane pre-treatment to reduce fouling. Although various models for biofiltration have been developed, these are generally complicated and research-oriented, and no modeling approach or performance parameter has found general acceptance in practice.The paper summarizes previous modeling approaches and illustrates the usefulness of a previously developed index of contact time, X*, referred to as dimensionless contact time. In addition to empty bed contact time, X* contains other factors which are important for biofiltration performance: the reactor surface area available for biofilm development and substrate biodegradability and diffusivity. This paper shows how X* can be simplified and also illustrates its application to the removal of trace contaminants (e.g. pharmaceuticals, endocrine disrupting substances or odorous compounds such as geosmin). A major section of the paper analyzes the requirements for biofiltration when used as a membrane pre-treatment to reduce fouling, and illustrates the applicability of X* for this use of biofiltration. Thus X* is presented as an overall unifying parameter. The last section of the paper introduces a new practically-oriented parameter, the Biofiltration Factor (BF). The use of this parameter, which is directly related to X*, is proposed for biofiltration design and operation, once some additional work has been undertaken. biofiltration, dissolved bacterial product material, drinking water, geosmin and MIB, membrane fouling, trace contaminants This content is only available as a PDF. © IWA Publishing 2008 You do not currently have access to this content.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».