Abunama, Taher and Seyam, Mohammed and Ansari, Mozafar and Kumari, Sheena and Bux, Faizal (2023) Integrated sequential fuzzy logic search models for simulating wastewater treatment plants missing influent parameters. Water and Environment Journal, 37 (2). pp. 289-302. ISSN 1747-6585, DOI https://doi.org/10.1111/wej.12836.
Full text not available from this repository.Abstract
Aiming at achieving optimum operations of wastewater treatment plant (WWTP) processes, it is essential to develop accurate predictive models for expected influent pollutant loads. To overcome limited timespan data and model complexity, this study is devoted to propose an integration of inputs' sequential search with the adaptive neuro-fuzzy inference system (ANFIS) for reducing the modelling complexity. The input data included nine influent parameters measured bi-weekly for 12 years at a WWTP, South Africa (SA). The sequential search process was used for input optimization to select the most representative inputs in modelling four parameters. The obtained results indicated a strong correlation with R-2 and NSE above 0.85 for the four targeted influent parameters. After validating the developed models using different criteria, the missing records were predicted throughout the study period. The integration of sequential search input optimization and ANFIS modelling was able to provide a high performance in modelling WWTP datasets.
| Item Type: | Article |
|---|---|
| Funders: | National Research Foundation, NRF: 84166, Direction Générale Opérationnelle Agriculture, Ressources Naturelles et Environnement du Service Public de Wallonie, SPW-DGARNE |
| Uncontrolled Keywords: | ANFIS modelling; influent parameters; input optimization; sequential search; wastewater treatment plants (WWTPs) |
| Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Faculty of Engineering > Department of Civil Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Jun 2024 02:11 |
| Last Modified: | 13 Jun 2024 02:11 |
| URI: | http://eprints.um.edu.my/id/eprint/39227 |
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