Data scarcity in modelling and simulation of a large-scale WWTP : stop sign or a challenge
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10729
- Type
- D - Journal article
- DOI
-
10.1016/j.jwpe.2018.12.010
- Title of journal
- Journal of Water Process Engineering
- Article number
- -
- First page
- 10
- Volume
- 28
- Issue
- -
- ISSN
- 2214-7144
- Open access status
- Deposit exception
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
7
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The method proposed in this paper tackles challenges of optimizing the operation of wastewater treatment plants. The methodology has been adopted in the operation of the largest Italian wastewater treatment plant, located in Torinese, and managed by water company SMAT (www.smatorino.it). This three-country study was conducted in collaboration with the leading academics in the world (Prof. I. Nopens, Ghent University). This paper led to an industry-funded postdoctoral fellowship for the lead-author (value:180k EUR; SMAT contact: Gerardo.Scibilia@smatorino.it) and an invitation to join the IWA (International Water Association) Committee on Modelling & Integrated Assessment.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -