Hindered and compression solid settling functions - Sensor data collection, practical model identification and validation.
Compression solid concentration and effective solid stress
Computational fluid dynamics (CFD)
Hindered and compression solid settling velocity
One-dimensional model
Practical model identification
Settling column sensor
Journal
Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072
Informations de publication
Date de publication:
01 Oct 2020
01 Oct 2020
Historique:
received:
19
12
2019
revised:
23
06
2020
accepted:
28
06
2020
pubmed:
7
8
2020
medline:
12
11
2020
entrez:
7
8
2020
Statut:
ppublish
Résumé
Secondary settling tanks (SSTs) are the most hydraulically sensitive unit operations in activated sludge water resource recovery facilities (WRRF). Mathematical models for predicting activated sludge solids settling velocity include parameters that show irreducible epistemic uncertainty. Therefore, reliable and periodic calibration of the settling velocity model is key for predicting activated sludge process capacity, thus averting possible failures under wet-weather flow- and filamentous bulking conditions. The two main knowledge gaps addressed here are: (1) Do constitutive functions for hindered and compression settling exist, for which all velocity parameters can be uniquely estimated? (2) What is the optimum sensor data requirement of developing reliable settling velocity functions? Innovative settling column sensor and full-scale data were used to identify and validate amended Vesilind function for hindered settling and a new exponential function for compression settling velocity using one-dimensional and computational fluid dynamics simulations. Results indicate practical model identifiability under well-settling and filamentous bulking conditions.
Identifiants
pubmed: 32755732
pii: S0043-1354(20)30666-7
doi: 10.1016/j.watres.2020.116129
pii:
doi:
Substances chimiques
Sewage
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
116129Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.