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, A.
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

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