Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/36978
Title: | Allocation of unequally-weighted wastewater discharge loads using a simulation-optimization approach | Authors: | Sadak, D. Ayvaz, Mustafa Tamer Elçi, Alper |
Keywords: | Load allocation weights Multi-pollutant Optimization Simulation Waste load allocation Sensitivity analysis Surface waters Water management Watersheds Generalized reduced gradient Optimization approach Optimization formulations Optimization modeling Pollutant concentration Simulation optimization Waste load allocations Water management strategies Water pollution concentration (composition) discharge hydrological modeling optimization pollutant transport river pollution sensitivity analysis surface water wastewater treatment water management watershed Menderes Basin Turkey |
Publisher: | Elsevier B.V. | Abstract: | In this study, a new simulation–optimization approach is proposed to solve the multi-pollutant waste load allocation (WLA) problems in surface water systems. The proposed approach simulates the fate and transport of multiple pollutants utilizing the AQUATOX model. Since AQUATOX is an independent model and its integration into the optimization process is computationally not efficient, a multi-pollutant concentration–response matrix (mpCRM) is developed by using the results of the AQUATOX model. This mpCRM is then integrated into an optimization model where a nonlinear generalized reduced gradient (GRG) optimization method is used. Unlike in previously conducted studies, a new optimization formulation is proposed wherein the multiple pollutant loads are allocated among the source locations depending on their pre-assigned load allocation weights. This formulation allows for an equal or variable pollutant load allocation plan among source locations depending on the water management strategy for the watershed. The applicability of the proposed approach is evaluated on a sub-watershed of the Küçük Menderes River Basin (KMRB) in Turkey by considering different load allocation scenarios. Furthermore, a detailed sensitivity analysis is conducted to evaluate the model results for different problem parameters. Identified results suggest that the proposed simulation–optimization approach is an effective way to solve the multi-pollutant WLA problem. © 2020 Elsevier B.V. | URI: | https://hdl.handle.net/11499/36978 https://doi.org/10.1016/j.jhydrol.2020.125158 |
ISSN: | 0022-1694 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
9
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
9
checked on Dec 20, 2024
Page view(s)
58
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.