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An inexact two-stage stochastic programming model for optimization of sewage treatment technology |
WANG Jian, FU Zheng-hui, GUO Huai-cheng |
College of Environmental Science and Engineering, Peking University, Beijing 100871, China |
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Abstract In order to solve the existing problems about one-sidedness, subjectivity and uncertainty in optimization methods of sewage technology, this study maximized the benefits of the environment and society, and developed an inexact two-stage stochastic programming model to choose the optimized treatment technology and to calculate their capacities for the increased regional sewage. After the model was applied in Dianchi-Panlongjiang watershed, the results indicated that the combination of sewage treatment technology was the best choice comparing with choosing one specific technology. Anaerobic-Anoxic-Oxic(A2/O) had obvious advantages in a large scale due to the low cost of operation and investment. Meanwhile,Intermittent Cycle Extended Aeration(ICEAS) was more suitable to be applied in small emission areas, and it had a deeper removal efficiency of pollutant than A2/O and oxidation ditch(OD).
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Received: 22 April 2016
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