Wasteload Allocation Using Wastewater Treatment and Flow Augmentation

Parmar, Dipteek; Keshari, Ashok K.

doi:10.1007/s10666-013-9378-y

Cited by 14 publications

(2 citation statements)

References 7 publications

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“…Note that in the conducted studies, the water quality processes in river systems were simulated with different simulation models such as QUAL2E (Burn and Yulianti, 2001;Parmar and Keshari, 2014;Saadatpour and Afshar, 2007), QUAL2K (Saadatpour et al, 2019), CE-QUAL (Afshar et al, 2018), WASP4 (Cardwell and Ellis, 1993), etc. These water quality simulation models have been combined with both heuristic and deterministic optimization approaches.…”

Section: Introductionmentioning

confidence: 99%

A Novel Wastewater Load Allocation Approach for River Basins Using Simulation-Optimization Models

Sadak

Ayvaz

Elçi

et al. 2023

SRC

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In this study, a new wastewater load allocation approach using a linked simulation-optimization model is proposed to determine the receiving body-based discharge limits by considering the discharge standards used by the European Union Water Framework Directive. By using the proposed approach, wastewater loads of point sources can be determined in such a way that the parameters exceeding the water quality targets (WQT) in receiving water bodiesmeet the relevant WQT. The simulation part is used to determine pollutantconcentrations throughout the river system using the AQUATOX water quality simulation model. However, since AQUATOX is an independent simulation modeland its source code is not publicly available, it is not possible to execute it with the optimization model for the generated load combinations. Therefore, a concentration-response matrix (CRM) is developed as a surrogate water simulation model by using the outputsoftheAQUATOX model. After this process, the developed CRMis integrated into an optimization model where the heuristic differential evolution (DE) optimization approach is used. The performance of the proposed simulation-optimization approach is evaluated on a sub-watershed of the Kucuk Menderes River Basin by considering different wasteload allocation scenarios for the CBOD5 water quality parameter. The results showed that the proposed simulation-optimization approach can effectively allocate the wastewater loads among different point sources by considering the WQT values of the CBOD5 parameter.

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Section: Introductionmentioning

confidence: 99%

A Novel Wastewater Load Allocation Approach for River Basins Using Simulation-Optimization Models

Sadak

Ayvaz

Elçi

et al. 2023

SRC

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“…To develop the best allocation strategy under new topological conditions, a WLRA model may couple an optimization algorithm with a physical water quality simulation model. Application of deterministic waste load allocation (WLA) models have been reported by Takyi and Lence (1999), Burn and Yulianti (2001), and, recently, Parmar and Keshari (2014). Fuzzy concepts and mathematics have widely been used to tackle the uncertainties in WLA models (Sasikumar and Mujumdar 2000;Ghosh and Mujumdar 2006;Saadatpour and Afshar 2007).…”

Section: Introductionmentioning

confidence: 99%

Developing a Reliability-Based Waste Load Allocation Strategy for River-Reservoir Systems

Afshar

Masoumi

Solís

2018

J. Water Resour. Plann. Manage.

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Enhanced socioeconomic criteria and temporal changes in the topology of the system often require waste load reallocation (WLRA) in a river-reservoir system to sustain long-term water quality standards. In addition to climate and hydrological changes, hydrologic fragmentation and dam construction may significantly affect the waste-accepting capacity of the water body through changes in its physical, chemical, and even biological characteristics. Deterministic waste load allocation optimization designs are often bounded with a set of rigid constraints. These constraints do not allow any flexibility to account for uncertainties and the possibility of system failure. This paper presents a reliability-based waste load reallocation model in a complex river-reservoir system. We have linked a physical and surrogate simulation model with the Particle Swarm Optimization algorithm to present an efficient methodology for reallocating waste loads in a river-reservoir system with reliability constraints. Reliability requirements are addressed by different sets of constraints in three different formulations for the entire planning horizon. The problem, as defined, contains real and integer variables, and is formulated as a mixed-integer nonlinear programming problem. It finds the maximum values of monthly waste loads that may be discharged into the river-reservoir system under predefined reliability constraints. The surrogate model itself is refined using an online dynamic routine which makes it suitable for planning waste load allocation in multiperiod and high-dimensional system optimization under reliability-based water quality constraints. The proposed model is applied to the Karkheh river-reservoir system to illustrate its performance under various reliabilities.

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Monitoring and Processing of Data for Effective Wasteload Allocation Modeling in India

Parmar

Keshari

2019

Energy, Environment, and Sustainability

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Wasteload Allocation Using Wastewater Treatment and Flow Augmentation

Cited by 14 publications

References 7 publications

A Novel Wastewater Load Allocation Approach for River Basins Using Simulation-Optimization Models

A Novel Wastewater Load Allocation Approach for River Basins Using Simulation-Optimization Models

Developing a Reliability-Based Waste Load Allocation Strategy for River-Reservoir Systems

Monitoring and Processing of Data for Effective Wasteload Allocation Modeling in India

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