| The development of economy has caused great damage on the water environment,so it is essential to protect the water resources, strengthen the construction of sewagetreatment projects. The sewage treatment projects of our country are publicinfrastructures, their investments, operations and controls are all government-led, andthe investor is relatively single. However, the state financial funds are limited whichresults in the lower efficiency and being lack of funds of sewage treatment constructionprojects. In order to solve the problem of insufficient funding, the state positivelyencourages BOT and TOT operation modes of sewage treatment, and implementsdiversification of investment and business model. In this thesis, from the prospective ofinvestors in sewage treatment construction projects, we consider the investmentdecision-making of the sewage treatment projects as the starting point ,study how toinvest in sewage treatment projects to make the maximum profits and achieveenvironmental targets.We mainly research the investment decisions of sewage treatments based onmulti-objective programming model. At the beginning ,we collect the data throughquestionnaires and determine the functional forms of the construction costs andoperating costs about sewage treatment plants, then obtain the specific functions byregression analysis; we set the multi-objective programming model , include twoobjective functions : the maximum of net present value of the sewage treatment projects,the maximum of main pollutant removal; and set the design capacity of sewagetreatment, actual capacity , the import and export concentration of major pollutant,investment profit expectations as constraints; and designed genetic algorithm to solvemulti-objective programming model. We mainly study multi-objective programmingmodel of investment decisions for sewage treatments, and put it in the application of theNortheast. We research the state of investment of sewage treatment in the region ofNortheast , introduce the overview of BOT operation mode of the sewage treatmentproject , select basic data ,and study the relationships among the NPV, the designcapacity of sewage treatment, the actual capacity of sewage treatment, the CODconcentration ratio of export and import levels, the unit price. Then we get the optimalresults by using the genetic algorithms tools which provide decision support for the investors of sewage treatment project. At last, it concludes some policyrecommendations for the government to control the water pollution and for sewagetreatment plants to investment and operate. |
