Calibration and validation of a phenomenological influent pollutant disturbance scenario generator using full-scale data.
Flores, Xavier LU ; Saagi, Ramesh LU
; Lindblom, Erik
LU
; Thirsing, Carsten
; Thornberg, Dines
; Gernaey, Krist V
and Jeppsson, Ulf
LU
(2014)
In Water Research
51.
p.172-185
- Abstract
- The objective of this paper is to demonstrate the full-scale feasibility of the phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) that was originally used to create the influent data of the International Water Association (IWA) Benchmark Simulation Model No. 2 (BSM2). In this study, the influent characteristics of two large Scandinavian treatment facilities are studied for a period of two years. A step-wise procedure based on adjusting the most sensitive parameters at different time scales is followed to calibrate/validate the DIPDSG model blocks for: 1) flow rate; 2) pollutants (carbon, nitrogen); 3) temperature; and, 4) transport. Simulation results show that the model successfully describes daily/weekly... (More)
- The objective of this paper is to demonstrate the full-scale feasibility of the phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) that was originally used to create the influent data of the International Water Association (IWA) Benchmark Simulation Model No. 2 (BSM2). In this study, the influent characteristics of two large Scandinavian treatment facilities are studied for a period of two years. A step-wise procedure based on adjusting the most sensitive parameters at different time scales is followed to calibrate/validate the DIPDSG model blocks for: 1) flow rate; 2) pollutants (carbon, nitrogen); 3) temperature; and, 4) transport. Simulation results show that the model successfully describes daily/weekly and seasonal variations and the effect of rainfall and snow melting on the influent flow rate, pollutant concentrations and temperature profiles. Furthermore, additional phenomena such as size and accumulation/flush of particulates of/in the upstream catchment and sewer system are incorporated in the simulated time series. Finally, this study is complemented with: 1) the generation of additional future scenarios showing the effects of different rainfall patterns (climate change) or influent biodegradability (process uncertainty) on the generated time series; 2) a demonstration of how to reduce the cost/workload of measuring campaigns by filling the gaps due to missing data in the influent profiles; and, 3) a critical discussion of the presented results balancing model structure/calibration procedure complexity and prediction capabilities. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4291127
- author
- Flores, Xavier
LU
; Saagi, Ramesh
LU
; Lindblom, Erik
LU
; Thirsing, Carsten
; Thornberg, Dines
; Gernaey, Krist V
and Jeppsson, Ulf
LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Water Research
- volume
- 51
- pages
- 172 - 185
- publisher
- Elsevier
- external identifiers
-
- pmid:24439993
- wos:000331681200018
- scopus:84895076767
- pmid:24439993
- ISSN
- 1879-2448
- DOI
- 10.1016/j.watres.2013.10.022
- language
- English
- LU publication?
- yes
- id
- 799fdee3-9457-4404-90ff-2fb472278b89 (old id 4291127)
- date added to LUP
- 2016-04-01 10:14:17
- date last changed
- 2022-04-27 19:54:50
@article{799fdee3-9457-4404-90ff-2fb472278b89,
abstract = {{The objective of this paper is to demonstrate the full-scale feasibility of the phenomenological dynamic influent pollutant disturbance scenario generator (DIPDSG) that was originally used to create the influent data of the International Water Association (IWA) Benchmark Simulation Model No. 2 (BSM2). In this study, the influent characteristics of two large Scandinavian treatment facilities are studied for a period of two years. A step-wise procedure based on adjusting the most sensitive parameters at different time scales is followed to calibrate/validate the DIPDSG model blocks for: 1) flow rate; 2) pollutants (carbon, nitrogen); 3) temperature; and, 4) transport. Simulation results show that the model successfully describes daily/weekly and seasonal variations and the effect of rainfall and snow melting on the influent flow rate, pollutant concentrations and temperature profiles. Furthermore, additional phenomena such as size and accumulation/flush of particulates of/in the upstream catchment and sewer system are incorporated in the simulated time series. Finally, this study is complemented with: 1) the generation of additional future scenarios showing the effects of different rainfall patterns (climate change) or influent biodegradability (process uncertainty) on the generated time series; 2) a demonstration of how to reduce the cost/workload of measuring campaigns by filling the gaps due to missing data in the influent profiles; and, 3) a critical discussion of the presented results balancing model structure/calibration procedure complexity and prediction capabilities.}},
author = {{Flores, Xavier and Saagi, Ramesh and Lindblom, Erik and Thirsing, Carsten and Thornberg, Dines and Gernaey, Krist V and Jeppsson, Ulf}},
issn = {{1879-2448}},
language = {{eng}},
pages = {{172--185}},
publisher = {{Elsevier}},
series = {{Water Research}},
title = {{Calibration and validation of a phenomenological influent pollutant disturbance scenario generator using full-scale data.}},
url = {{http://dx.doi.org/10.1016/j.watres.2013.10.022}},
doi = {{10.1016/j.watres.2013.10.022}},
volume = {{51}},
year = {{2014}},
}