Application of stochastic optimization algorithm for waste load allocation in the Nakdong River basin, Korea

Han, Kun‐Yeun; Noh, Joon-Woo; Kim, Ji-Sung; Lee, Changhee

doi:10.1007/s12205-012-0919-8

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…where the solution is constrained by and must adhere to quality targets [17,42,91]). The mathematical programming techniques applied in this research include linear programming [80,103,178,197], nonlinear programming [17,91,121,150,155,206], dynamic programming [138,174,241], stochastic programming [33,42,70,99,128,139,141,187,207,208,224,225,240], and quadratic programming [86,113].…”

Section: Water Qualitymentioning

confidence: 99%

“…Marinoni et al [140] propose a framework for planning major investment decisions and apply this to the case of a water quality enhancement program in a river catchment in Brisbane, Australia. Compromise programming is first used to score the options [42,87,118,121,126,132,139,150,174,176,208,213,224] Storm water [17] Wastewater [1,33,65,80,86,98,106,113,129,139,141,169,187,197,206,219,238] Water allocation [172,230,233] Water trading [224] Water treatment [33,206] Wetlands [39,207,225] for pollution reduction at various sites and the optimal investment problem is then formulated as a multicriteria knapsack problem. In some cases, legislation needs to be considered alongside other management strategies.…”

Section: Water Qualitymentioning

confidence: 99%

See 1 more Smart Citation

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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Section: Water Qualitymentioning

confidence: 99%

Section: Water Qualitymentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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“…Associated with the technical and economic approach, Burn and Yulianti (2001), Cho, Seok Sung and Ryong Ha (2004), Aras, Togan and Berkun (2007) and Han et al (2012) works considered watercourses self-purification capacities in effluent allocation problems, using water quality simulation models and optimization techniques. In this type of problem, objective functions usually consist of minimizing costs and water quality degradation, in order to determine the removal level required for each effluent source to maintain or reach satisfactory water quality, in economically feasible and efficient conditions.…”

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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“…A large number of research studies have examined TEC in the Taihu Basin. Generally, water quality in either all river segments or several cross-sections of the river networks were identified as the control factors for TEC [8][9][10]. However, the control based on all river segments was fairly strict and the implementation was quite difficult.…”

Section: Introductionmentioning

confidence: 99%

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

et al. 2017

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Abstract:As pollution incidents frequently occurred in the functional water areas of the Taihu Basin, Yangtze Delta, effective emission control to guarantee water quality in the Taihu Basin became the priority for environmental management. In this study, a new total emission control (TEC) method was proposed with an emphasis on the concept of water environmentally sensitive areas (WESAs). This method was verified in Wujiang District and the techniques can be concluded in three steps: (1) a 1-D mathematical model for the study area was established and the model was calibrated using field measurement data; (2) based on an analysis of administrative planning and regulations, WESAs were identified as the main controlling objectives for emission control calculations. The weighting coefficient of local pollution sources was investigated to discuss the effectiveness of TEC on water quality improvement at WESAs; and (3) applying the river network mathematical model, water quality along the river segments was simulated under different pollution control plans. The results proved the effectiveness of TEC in the study area and indicated that a 14.6% reduction in the total amount of ammonia-nitrogen (NH 3 -N), as well as a 31.1% reduction in the total amount of chemical oxygen demand (COD cr ), was essential in order to meet the water quality standard in the WESAs.

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Application of stochastic optimization algorithm for waste load allocation in the Nakdong River basin, Korea

Cited by 7 publications

References 12 publications

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Wastewater treatment systems selection inside watersheds by using multiobjective analysis

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

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