Multi-objective Waste Load Allocation Model for Optimizing Waste Load Abatement and Inequality Among Waste Dischargers

Cho, Jae Heon; Lee, Jong Ho

doi:10.1007/s11270-014-1892-2

Cited by 21 publications

(7 citation statements)

References 27 publications

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“…These search strategies for the best optimization problems solutions have been efficient, usually leading to the global optimal value (NICKLOW; KAINI; ARTITA, 2012). Burn and Yulianti (2001), Aras, Togan and Berkun (2007), Nicklow, Kaini and Artita (2012), Cho and Lee (2014) and Valory, Reis and Mendonça (2015) works employed water quality models and Genetic Algorithm for selecting sewage treatment systems within watersheds. The optimization models proposed by these authors, structured from the combination of different functions and objectives, were established with the incorporation of aspects such as implementation and treatment costs minimization, loads maximization, numbers of environmental quality standards violations and/or violations magnitudes minimization.…”

Section: Introductionmentioning

confidence: 99%

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Fantin

Reis

Mendonça

2017

RBRH

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The selection of sewage treatment plants within watersheds is a complex process when there are multiple outflows presenting different loads and watercourses presenting different assimilation capabilities. In this context, the present study aims to establish a methodology for pre-selection of wastewater treatment alternatives within watersheds. The methodology involves the combined use of water quality model, optimization technique and a set of technical and economic criteria associated with different wastewater treatment systems. To evaluate the proposed methodology there were considered different effluent disposal scenarios in the Pardo river watershed. Pardo is a major tributary of the Itapemirim river, watercourse located in the southern portion of Espírito Santo State, Brazil. The results indicated that the optimization model, that aimed to minimize wastewater treatment efficiencies within the watershed, considering watercourses self-purification capacities, selected treatment systems ranging from the combination of UASB and polishing lagoons systems to slow infiltration, treatment alternatives that presented the lowest net cost estimates. The incorporation of equity perspective between treatment systems increased the total present net cost associated with wastewater treatment within the watershed.Keywords: Water quality model; Optimization; Genetic algorithm; Wastewater treatment. RESUMOO processo de seleção de uma estação de tratamento de esgoto é complexo quando observado do ponto de vista de uma bacia hidrográfica, onde existem múltiplos lançamentos apresentando diferentes cargas e corpos d'água com diferentes capacidades de assimilação. Neste contexto, a presente pesquisa tem como objetivo estabelecer metodologia para a pré-seleção de alternativas de tratamento de esgoto no âmbito de bacias hidrográficas. A proposta metodológica envolve o uso combinado de modelo de qualidade de água, técnica de otimização e um conjunto de critérios de natureza técnica e econômica associados aos diferentes sistemas de tratamento de esgotos. Para avaliação da metodologia proposta foram considerados diferentes cenários de disposição de efluentes na bacia hidrográfica do rio Pardo, importante afluente do rio Itapemirim, curso d'água da porção sul do estado do Espírito Santo. Os resultados indicaram que o modelo de otimização que buscou a minimização das eficiências de tratamento no âmbito da bacia, permitindo uso da capacidade e de autodepuração dos cursos d'água, selecionou sistemas de tratamento que variaram da combinação de reatores UASB e lagoas de polimento a sistemas de infiltração lenta, alternativas de tratamento que apresentaram menores estimativas de custos presentes líquidos. A incorporação da equidade entre os sistemas de tratamento aumentou significativamente os custos presentes líquidos totais associados ao tratamento de esgoto no âmbito da bacia hidrográfica.Palavras-chave: Modelo de qualidade de água; Otimização; Algoritmo genético; Tratamento de esgotos.RBRH, Porto Alegre, v. 22, e12, 2017Proposal o...

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Section: Introductionmentioning

confidence: 99%

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Fantin

Reis

Mendonça

2017

RBRH

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“…The first inequality was calculated with the ER-Gini coefficient, based on the environmental resources and discharge load in each subbasin. The second type of inequality involved the fairness in the distribution of treatment efforts among waste dischargers [4].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Optimization Model for Waste Load Allocation in a River with Total Maximum Daily Load (TMDL) Planning

Cho¹,

Lee

2020

Water

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In traditional waste load allocation (WLA) decision making, water quality-related constraints must be satisfied. Fuzzy models, however, can be useful for policy makers to make the most reasonable decisions in an ambiguous environment, considering various surrounding environments. We developed a fuzzy WLA model that optimizes the satisfaction level by using fuzzy membership functions and minimizes the water quality management cost for policy decision makers considering given environmental and socioeconomic conditions. The fuzzy optimization problem was formulated using a max–min operator. The fuzzy WLA model was applied to the Yeongsan River basin, which is located in the southwestern part of the Korean Peninsula and Korean TMDLs were applied. The results of the fuzzy model show that the pollutant load reduction should be increased in the Gwangju 1 and Gwangju 2 wastewater treatment plants (WWTPs) and in subcatchments with high pollutant load. In particular, it is necessary to perform advanced wastewater treatment to decrease the load of 932 kg ultimate biochemical oxygen demand (BODu)/day in the large-capacity Gwangju 1 WWTP and reduce the BODu emission concentration from 4.3 to 2.7 mg/L during the low-flow season. The satisfaction level of the fuzzy model is a relatively high at 0.81.

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“…On the other hand, Nikoo, Kerachian and Niksokhan (2012), Mahjouri and Bizhani-Manzar (2013), Cho and Lee (2014), Lei et al (2015), Ashtiani, Niksokhan and Jamshidi (2015), Nikoo, Beiglou and Mahjouri (2016), Valory, Reis and Mendonça (2016) and Fantin, Reis and Mendonça (2017) works, in addition to minimizing treatment costs, incorporated into the wastewater management problem the "Polluter Pays Principle", which, in turn, expresses the notion that as greater the responsibility for pollution, greater should be the amount paid by the polluter. Thus, these studies considered costs distribution fairness principles, either in the search for water courses self-purification capacities adequate apportionment, or in the search for adequate costs distribution, also through water quality modeling and optimization techniques.…”

Section: Introductionmentioning

confidence: 99%

Wastewater treatment systems selection inside watersheds by using multiobjective analysis

Bringer

Reis

Mendonça

2018

RBRH

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In order to determine required wastewater treatment plants (WWTP's) efficiencies, several methodologies have been proposed to assist the sewage treatment systems process selection, usually aiming to achieve economic objectives. However, in water resources problems solving, search involves multiple and conflicting objectives. This work used, for Pardo's river basin (Espírito Santo State, Brazil), water quality simulation model, optimization technique and multiobjective analysis for selecting sewage treatment systems, taking into account Brazilian environmental effluents Biochemical Oxygen Demand standards, imposed by CONAMA Resolution 430/2011. After proposing an optimization model that allowed the estimation of minimum organic matter removal efficiencies, a multiobjective analysis was applied by using the ELECTRE III method, which selected sewage treatment systems for localities responsible for domestic wastewater disposal in Pardo's river basin. The results indicated that keeping the effluents standards can produce treatment plants overestimation and inadequate allocated financial resources distribution for sewage treatment plants implementation. Treatment systems such as Submerged Aerated Biofilters (with Nitrification), Wetlands and Facultative Ponds were the most selected, considering different contexts appreciated in this work.

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Multi-objective Waste Load Allocation Model for Optimizing Waste Load Abatement and Inequality Among Waste Dischargers

Cited by 21 publications

References 27 publications

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Proposal of a methodology for pre-selection of sewage treatment systems within watersheds

Fuzzy Optimization Model for Waste Load Allocation in a River with Total Maximum Daily Load (TMDL) Planning

Wastewater treatment systems selection inside watersheds by using multiobjective analysis

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