SwePub
Sök i LIBRIS databas

  Extended search

WFRF:(Flores Alsina X)
 

Search: WFRF:(Flores Alsina X) > Generation of synth...

Generation of synthetic influent data to perform (micro)pollutant wastewater treatment modelling studies

Snip, L. J P (author)
Technical University of Denmark
Flores-Alsina, X. (author)
Technical University of Denmark
Aymerich, I (author)
University of Girona
show more...
Rodríguez-Mozaz, S. (author)
University of Girona
Barceló, D. (author)
CSIC Institute of Environmental Assessment and Water Research (IDAEA),University of Girona
Plósz, B. G. (author)
Technical University of Denmark
Corominas, Ll (author)
University of Girona
Rodriguez-Roda, I. (author)
University of Girona
Jeppsson, U. (author)
Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
Gernaey, K. V. (author)
Technical University of Denmark
show less...
 (creator_code:org_t)
Elsevier BV, 2016
2016
English 13 s.
In: Science of the Total Environment. - : Elsevier BV. - 0048-9697. ; 569-570, s. 278-290
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • The use of process models to simulate the fate of micropollutants in wastewater treatment plants is constantly growing. However, due to the high workload and cost of measuring campaigns, many simulation studies lack sufficiently long time series representing realistic wastewater influent dynamics. In this paper, the feasibility of the Benchmark Simulation Model No. 2 (BSM2) influent generator is tested to create realistic dynamic influent (micro)pollutant disturbance scenarios. The presented set of models is adjusted to describe the occurrence of three pharmaceutical compounds and one of each of its metabolites with samples taken every 2–4 h: the anti-inflammatory drug ibuprofen (IBU), the antibiotic sulfamethoxazole (SMX) and the psychoactive carbamazepine (CMZ). Information about type of excretion and total consumption rates forms the basis for creating the data-defined profiles used to generate the dynamic time series. In addition, the traditional influent characteristics such as flow rate, ammonium, particulate chemical oxygen demand and temperature are also modelled using the same framework with high frequency data. The calibration is performed semi-automatically with two different methods depending on data availability. The ‘traditional’ variables are calibrated with the Bootstrap method while the pharmaceutical loads are estimated with a least squares approach. The simulation results demonstrate that the BSM2 influent generator can describe the dynamics of both traditional variables and pharmaceuticals. Lastly, the study is complemented with: 1) the generation of longer time series for IBU following the same catchment principles; 2) the study of the impact of in-sewer SMX biotransformation when estimating the average daily load; and, 3) a critical discussion of the results, and the future opportunities of the presented approach balancing model structure/calibration procedure complexity versus predictive capabilities.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Water Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Miljöbioteknik -- Vattenbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Biotechnology -- Water Treatment (hsv//eng)

Keyword

BSM2 influent generator
Calibration
Micropollutant occurrence
Trace chemicals
Xenobiotics

Publication and Content Type

art (subject category)
ref (subject category)

Find in a library

To the university's database

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view