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基于灰色马尔可夫模型的城市污水量预测
引用本文:李小芳,孙宝盛,司志娟. 基于灰色马尔可夫模型的城市污水量预测[J]. 环境工程学报, 2013, 7(1): 237-241
作者姓名:李小芳  孙宝盛  司志娟
作者单位:天津大学环境科学与工程学院,天津,300072
基金项目:天津市自然科学基金重点资助项目(07JCZDJC02100)
摘    要:城市污水量是进行排水工程设计的基础数据,灰色系统理论在预测城市污水排放量中有着广泛的应用.基于2001-2009年天津市城市污水排放量数据,建立灰色模型对2010-2015年生活污水排放量和工业废水排放量进行预测;由于工业废水排水量数据波动较大,灰色预测结果不准确,采用马尔可夫模型对灰色预测结果进行修正.结果表明,灰色马尔可夫模型预测准确性高;预计2015年,生活污水排放量为65120.57万t,工业废水排放量为19339.39万t;随着时间的推移,天津市生活污水排放量在城市污水排放总量中的百分比越来越大.

关 键 词:生活污水排放量  工业废水排放量  预测  灰色模型  马尔可夫模型

Forecasting of urban wastewater discharge based on Gray-Markov Model
Li Xiaofang,Sun Baosheng and Si Zhijuan. Forecasting of urban wastewater discharge based on Gray-Markov Model[J]. Techniques and Equipment for Environmental Pollution Control, 2013, 7(1): 237-241
Authors:Li Xiaofang  Sun Baosheng  Si Zhijuan
Affiliation:School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
Abstract:The urban wastewater discharge can provide fundamental data for drainage engineering design, the Gray System Theory is widely used to forecast urban wastewater discharge. Based the urban wastewater discharge in Tianjin from 2001 to 2009, Gray Model was established to forecast the discharge of domestic sewage and industrial wastewater in Tianjin from 2010 to 2015. As the data of industrial wastewater was characterized as great fluctuation, Markov Model was introduced to amend the results of Gray Model. The results showed that the forecasting results of industrial wastewater by Gray Markov Model had high accuracy. The domestic sewage discharged would be 651.2057 million tons and the industrial wastewater discharged would be 193.3939 million tons in 2015. It indicated that the percentage of domestic sewage discharge in urban wastewater discharge having an increase trend as time goes on.
Keywords:domestic sewage discharge  industrial wastewater discharge  forecasting  Gray Model  Markov Model
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