General Multiobjective Model and Simulated Annealing Algorithm for Waste-Load Allocation

Andrade, Larice Nogueira de; Mauri, Geraldo Regis; Mendonça, Antônio Sérgio Ferreira

doi:10.1061/(asce)wr.1943-5452.0000257

Cited by 23 publications

(5 citation statements)

References 14 publications

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“…That model considered the health of the ecosystem and the economic benefits to downstream lands' stakeholders. De Andrade et al (2012) determined the effective factors governing pollutant loads to the Santa Maria da Vitoria river in Brazil. A simulator-optimizer model was presented combining the QUAL-2E model with the simulated annealing (SA) algorithm for solving the problem of pollutant loading to the river.…”

Section: Fulfillment Of River Environmental Flow: Applying Nash Theory For Quantitative-qualitative Conflict Resolution In Reservoir Opermentioning

confidence: 99%

Fulfillment of river environmental flow: applying Nash theory for quantitative‐qualitative conflict resolution in reservoir operation

Farhadian

Bozorg‐Haddad

Loáiciga

2020

Water & Environment J

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The construction of reservoirs for water supply alters the riverine ecology and changes water quality. It is, therefore, imperative to estimate and provide the riverine environmental flow requirement to prevent irreversible environmental damage and to maintain suitable water quality. Water releases from reservoirs constitute the means for meeting environmental flow and water quality requirements downstream from reservoirs. These requirements can be realized through the modification of the reservoir operation programmes by reallocating a percentage of the reservoir releases otherwise dedicated to quantitative objectives. This is performed in this study by considering the qualitative (i.e. pertaining to water quality) objectives alongside quantitative objectives of reservoir releases in order to achieve a general coverage for an operating programme that balances in the most rational manner the interests of riverine environmental protection and quantitative functions. The case study area is located in the river reach between the Gotvand reservoir and Shooshtar city in the Gotvand‐Karoon reservoir‐river system in Iran. The range of riverine environmental flow is calculated in the study river reach with hydrologic methods. Water quality is simulated and included reservoir operation with the QUAL‐2K simulation model. The existing quantitative and qualitative objectives for reservoir operation are determined and classified. The best reservoir releases corresponding to three scenarios are determined by the Nash theory considering all possible objectives in the reservoir‐river system. These scenarios allocate relative weights to defined objectives and releases were determined to be equal to 183.8, 141.8 and 206.8 m3/s for three scenarios.

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Section: Fulfillment Of River Environmental Flow: Applying Nash Theory For Quantitative-qualitative Conflict Resolution In Reservoir Opermentioning

confidence: 99%

Fulfillment of river environmental flow: applying Nash theory for quantitative‐qualitative conflict resolution in reservoir operation

Farhadian

Bozorg‐Haddad

Loáiciga

2020

Water & Environment J

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“…WQSMs describe the relationships between pollution control strategies, water body responses and environmental conditions. Many WLA programs are restricted with steady‐state assumption on the water body, and the constant effluent discharges over time (Allam et al, 2016; de Andrade et al, 2012; Mooselu et al, 2019; Saadatpour et al, 2019). Feizi Ashtiani et al (2015) developed a WLA model regarding the environmental standard violations and inequity by coupling the multiobjective particle swarm optimization (MOPSO) algorithm and the Streeter–Phelps equations as a steady‐state model.…”

Section: Introductionmentioning

confidence: 99%

An adaptive metamodelling for multipollutant waste load allocation in a river–reservoir system; hydrodynamic simulation–optimization

Kheirkhah

Saadatpour

Afshar

2021

Water & Environment J

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Discharge of nutrient load from aquaculture activities may pose an eutrophication risk to receiving waterbodies. In this study, monthly multipollutant waste load allocation (MPWLA) programmes are developed to determine the required treatment levels of pollutants released into a river-reservoir system. The objectives of the MPWLA programmes consist of minimizing the total wastewater treatment cost, maximizing the profit from fish production and improving water quality index. The CE-QUAL-W2 model with artificial neural networks is linked to the multiobjective particle swarm optimization algorithm to obtain the trade-off surface in a surrogate-based simulation-optimization framework. To tackle the ambiguities in quantifying the discharged pollutants, fuzzy membership functions are defined. The application of the proposed MPWLA programmes in the Behesht-Abad River-Reservoir system, Iran, has led to a reduction in phosphate concentration more than 3%, enhancement in dissolved-oxygen levels in the ranges of 2% to 11.6%, and alleviation of Carlson Index between 3 to 7 units.

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“…Water quality is a problem of special concern due to its economic, social and environmental implications, especially in rivers which are extensively used as water supply to human activities, but simultaneously, receive wastewater discharges and have a relevant ecological role. In this context, river water quality modeling can be an useful tool for diagnostic and compliance evaluation, optimal allocation of effluent discharges (Andrade et al, 2013), decision making regarding environmental restoration programs (Ning et al, 2001;Zhang et al, 2012) and evaluation of potential impacts related to the installation of projects and land use changes (Zhang and Wu 2013;Demissie et al 2017).…”

Section: Introductionmentioning

confidence: 99%

External control and automatic calibration of the HEC-RAS NSM-I water quality model

Lima¹,

Fan²,

Siqueira³

2020

Preprint

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Calibration of models is a common procedure required to properly reproduce a system under analysis. In the present study, we developed a tool integrating the HEC-RAS NSM-I water quality model with the optimization algorithm SCE-UA in order to allow the automatic calibration.The tool's performance was assessed in two experiments involving a theoretical situation, when it was used to approximate a previously known set of parameters, and a real world application, when the tool was employed to calibrate a water quality model of the Gravataí River, Brazil. The results showed a good capacity to approximate the true parameters values in the theoretical experiment and a good consistency and agreement with reference values in the second experiment. Although future testing and improvements are possible, the proposed approach can be an useful alternative in water quality modeling using HEC-RAS.

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General Multiobjective Model and Simulated Annealing Algorithm for Waste-Load Allocation

Cited by 23 publications

References 14 publications

Fulfillment of river environmental flow: applying Nash theory for quantitative‐qualitative conflict resolution in reservoir operation

Fulfillment of river environmental flow: applying Nash theory for quantitative‐qualitative conflict resolution in reservoir operation

An adaptive metamodelling for multipollutant waste load allocation in a river–reservoir system; hydrodynamic simulation–optimization

External control and automatic calibration of the HEC-RAS NSM-I water quality model

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