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污水随机排污的不确定性研究

ON UNCERTAINTY OF STOCHASTIC SEWAGE DISCHARGE
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摘要 考虑到污水环境系统的不确定性,将污水处理厂的水质数据作为随机变量进行模拟研究。通过原始序列的概率分布和马氏链随机模型获得模拟序列的集合,采用关联度分析和误差分析作为检验模拟序列有效性的双阈值条件,满足阈值条件的模拟序列作为最终的模拟结果。并以石家庄某污水处理厂的水质数据为实例,模拟研究表明该方法取得了较好的效果,可为不确定性信息模拟预测方法提供理论依据。 Considering the uncertainty of the wastewater environmental system,the data of water quality from wastewater treatment plant are taken as the stochastic variables herein for the simulation studies. The universal set of the simulated series is gained by the stochastic modelling of the Markov chain and the probability distribution of the origin data. The correlation analysis and error analysis are used to be the dual threshold conditions for justifying the validity of the simulated series. The simulated series which are suitable to the threshold condition are selected as the final simulated series. A case study is carried out with the instance of the water quality data from a wastewater treatment plant in ShiJiaZhuang. The simulation studies show that the method achieves a better result. A theoretical base is to be made from that for the prediction method of uncertainty information simulation.
出处 《计算机应用与软件》 CSCD 2010年第12期58-60,共3页 Computer Applications and Software
基金 教育部科学技术研究重点项目(108150) 水处理与水环境修复教育部工程中心开放课题(WTWER0721)
关键词 贝叶斯模型 不确定性 随机模拟 马尔科夫链蒙特卡罗法 Bayesian model Uncertainty Stochastic simulation Markov chain Monte Carlo
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参考文献8

  • 1Meeker W Q,Escobar L A,Lu C J.Accelerated degradation tests:modeling and analysis.Technometrics[J],1998,40(2):89-99.
  • 2龚光鲁 钱敏平.应用随机过程教程及其在算法与智能计算中的应用[M].北京:清华大学出版社,2003..
  • 3Dilks D W,Canale R P,Meier P G.Development of Bayesian Monte-Carlo techniques for water-quality model uncertainty[J].Ecological Modelling,1992,62:149-62.
  • 4Sohn M D,Small M J,Pantazidou M.Reducing uncertainty in site characterization using Bayes Monte Carlo methods[J].Journal of Environmental Engineering,ASCE,2000,126:893-902.
  • 5Qian S S,Stow C A,Borsuk M E.On Monte Carlo methods for Bayesian inference[J].Ecological Modelling,2003,159:269-277.
  • 6Gelfand A E,Hills S E,Racin-Poon A,et al.Illustration of Bayesian inference in normal data models using Gibbs sampling[J].Journal of the American Statistical Association,1990,85:972-985.
  • 7丁宏达.用回归—马尔柯夫链法预测供水量[J].中国给水排水,1990,6(1):45-47. 被引量:10
  • 8陈希孺,郑忠国.现代数学手册(随机数学卷)[M].武汉:华中科技大学出版社,2000:443-477.

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