A review of flux identification methods for models of sedimentation
(2020) In Water science and technology : a journal of the International Association on Water Pollution Research 81(8). p.1715-1722- Abstract
Most models of sedimentation contain the nonlinear hindered-settling flux function. If one assumes ideal conditions and no compression, then there exist several theoretically possible ways of identifying a large portion of the flux function from only one experiment by means of formulas derived from the theory of solutions of partial differential equations. Previously used identification methods and recently published such, which are based on utilizing conical vessels or centrifuges, are reviewed and compared with synthetic data (simulated experiments). This means that the identification methods are evaluated from a theoretical viewpoint without experimental errors or difficulties. The main contribution of the recent methods reviewed is... (More)
Most models of sedimentation contain the nonlinear hindered-settling flux function. If one assumes ideal conditions and no compression, then there exist several theoretically possible ways of identifying a large portion of the flux function from only one experiment by means of formulas derived from the theory of solutions of partial differential equations. Previously used identification methods and recently published such, which are based on utilizing conical vessels or centrifuges, are reviewed and compared with synthetic data (simulated experiments). This means that the identification methods are evaluated from a theoretical viewpoint without experimental errors or difficulties. The main contribution of the recent methods reviewed is that they, in theory, can identify a large portion of the flux function from a single experiment, in contrast to the traditional method that provides one point on the flux curve from each test. The new methods lay the foundation of rapid flux identification; however, experimental procedures need to be elaborated.
(Less)
- author
- Bürger, R. ; Careaga, J. LU and Diehl, S. LU
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Water science and technology : a journal of the International Association on Water Pollution Research
- volume
- 81
- issue
- 8
- pages
- 8 pages
- publisher
- IWA Publishing
- external identifiers
-
- scopus:85087812602
- pmid:32644963
- ISSN
- 0273-1223
- DOI
- 10.2166/wst.2020.113
- language
- English
- LU publication?
- yes
- id
- c419e902-4f11-429e-aa7f-5fa69f3d2785
- date added to LUP
- 2020-07-22 12:43:38
- date last changed
- 2024-06-26 19:46:28
@article{c419e902-4f11-429e-aa7f-5fa69f3d2785,
abstract = {{<p>Most models of sedimentation contain the nonlinear hindered-settling flux function. If one assumes ideal conditions and no compression, then there exist several theoretically possible ways of identifying a large portion of the flux function from only one experiment by means of formulas derived from the theory of solutions of partial differential equations. Previously used identification methods and recently published such, which are based on utilizing conical vessels or centrifuges, are reviewed and compared with synthetic data (simulated experiments). This means that the identification methods are evaluated from a theoretical viewpoint without experimental errors or difficulties. The main contribution of the recent methods reviewed is that they, in theory, can identify a large portion of the flux function from a single experiment, in contrast to the traditional method that provides one point on the flux curve from each test. The new methods lay the foundation of rapid flux identification; however, experimental procedures need to be elaborated.</p>}},
author = {{Bürger, R. and Careaga, J. and Diehl, S.}},
issn = {{0273-1223}},
language = {{eng}},
number = {{8}},
pages = {{1715--1722}},
publisher = {{IWA Publishing}},
series = {{Water science and technology : a journal of the International Association on Water Pollution Research}},
title = {{A review of flux identification methods for models of sedimentation}},
url = {{http://dx.doi.org/10.2166/wst.2020.113}},
doi = {{10.2166/wst.2020.113}},
volume = {{81}},
year = {{2020}},
}