会议论文详细信息
2018 2nd International Conference on Environmental and Energy Engineering
Effects of Important Factors on Effluent Trading: A Bayesian Estimation-Based Inexact Two-Stage Stochastic Programming Method
生态环境科学;能源学
Zhang, Junlong^1 ; Li, Yongping^2 ; Liu, Jing^3
Research Scientist, College of Environmental Science and Engineering, Qingdao University, Qingdao, SHANDONG
266071, China^1
Research Scientist, School of Environment, Beijing Normal University, Beijing
100875, China^2
Department of Environmental Engineering, Key Laboratory of Environmental Biotechnology (XMUT), Fujian Engineering and Research Center of Rural Sewage Treatment and Water Safety, Xiamen University of Technology, Xiamen
361024, China^3
关键词: Bayesian estimations;    Effluent trading;    Parameter uncertainty;    Point sources;    Quality protocols;    Trading programs;    Treatment rate;    Two-stage stochastic programming;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012049/pdf
DOI  :  10.1088/1755-1315/146/1/012049
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

We proposed a Bayesian estimation-based inexact two-stage stochastic programming (BITSP) for identifying factors' effect on effluent trading. BITSP incorporates nutrient fate modeling with Bayesian estimation and inexact two-stage stochastic programming (ITSP). Based on the water quality protocols, Bayesian estimation is used to analyze parameter uncertainty of nutrient modeling as well as provide the random inputs for the optimization process. ITSP can then be used for dealing with multiple uncertainties associated with randomness and intervals. A case study for water management in the Xiangxihe watershed is conducted. Results reveal that strict environmental limits increase the desire for permit trading program. The results also reveal that treatment rate have an obvious effect on effluent trading through changing the buying and selling behavior of point sources.

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