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).
王剑, 付正辉, 郭怀成. 基于区间两阶段的城镇污水处理技术优选模型[J]. 中国环境科学, 2017, 37(1): 108-115.
WANG Jian, FU Zheng-hui, GUO Huai-cheng. An inexact two-stage stochastic programming model for optimization of sewage treatment technology. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(1): 108-115.
Chen H W, Chang N B. A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants[J]. Journal of Environmental Management, 2002,65(4):383-409.
Tsai J C C, Chen V C P, Beck M B, et al. Stochastic dynamic programming formulation for a wastewater treatment decision- making framework[J]. Annals of Operations Research, 2004, 132(1-4):207-221.
