Reliability analysis of wastewater treatment plant and recycling of industrial Wastewater Treatment Plant of Industrial complex of Moorchekhort by using Bayesian networks

Abstract

Nowadays, the using of treated wastewater in diverse purposes such as agriculture, industry and irrigation is converted to an appropriate solution for water shortage. Despite the advantages of water reuse, due to various pollutants in wastewater and lack of complete treatment in accordance with the standards, it is always risky. Therefore risk assessment should be conducted in order to determine the reliability of system and offer solutions to enhance the reliability of wastewater treatment system. Risk is the possibility of occurrence an adverse event and the severity of the negative effects of it. In the present study, Bayesian network approach is used for risk assessment of wastewater treatment plant. In this method the possibility of an event can be obtained by creating cause and effect relationship between the components of the system. Wastewater treatment plant of industrial complex of Moorchekhort is selected for case study in this study. The fouling, corrosion and biofilm of using treated wastewater for industry have been determine as final events. The model input datas have been formed by experts, specialists and laboratory datas from wastewater treatment plant of industrial complex of Moorchekhort. The reliability of wastewater treatment system analyzed by Bayesian network model showed %70. The efficiency of Bayesian network in order to determine elements of failure and estimate the risk of wastewater treatment system that is not adapted to effluent standards for the industry is shown in this study.

Keywords

• wastewater treatment plant
• risk and reliability assessment
• bayesian network model
• water reuse