Studies On Models And Algorithms With Disposion Of Contaminant On The Ecotourism Zone

With the enhanced awareness of people's envornment protection and with the wide range of implementation of sustainable development strategy that is advocated by our country, ecotourism has developed rapidly and has become a very important direction in the development of tourism. However, following with the ecotourism development, how to coordinate the development of tourism and ecological environment for human activities and nature tourism development in harmony, and tourism resources and tourism to achieve sustainable development, tourism has become an important topic in academic circles. Although scientific definition the capacity of ecotourism environment and strictly implementation with enforcement such conflicts can be mitigated, when we advocate for the maintenance of the sustainable development in ecotourism area, the economic interests of local residents and tourists' desire should not be ignored. The ecological capacity expansion is necessary to consider, when using artificial method to deal with the pollutions can be expanded the ecological capacity. But the study on this area is less at current academic, the existing environmental capacity of eco-tourism research, more focused on the discussion on the concept from different perspectives, and only theoretical guidance, not to quantitative research, feasibility and replication is not strong. This article starts from the quantitative angle and introduces the main pollutants of eco-tourism areas: the wastewater and solid waste treatment, and in order to expand eco-tourism area of ecological capacity.Firstly, the article introduces the present status of the ecotourism, and educes the research significance of environmental capacity of ecotourism. On the basis the major study-content of tourism expansion in the capacity is restricted on the disposition of wastewater and collection of solid waste. And then the article summarizes the reasons of choosing this topic and the innovation, introduces the overall framework of the thesis.Secondly, the thesis reviews the concept and the present study condition of the ecological capacity. The important synthesis is in wastewater treatment and solid waste collection. So the article introduces the wastewater network design optimization in the use of the progress of the study, classification and algorithm for solving such problems. Solid waste collection to include the facility location and the reverse logistics design problem, so the location of the basic problem are reviewed and, in particular, summed up the contains that used in article study, which are the location-round problem, the location-allocation problem. At the same time the multi-objection problems and reverse logistics design problems are also introduced.Thirdly, reuse of wastewater is an important strategy for reducing freshwater consumption and wastewater generation. The design of the wastewater network connecting water-using operations is a complex problem which involves several criteria to optimize. This paper describes an approach that considers two criteria: (i) the minimization of freshwater consumption and (ii) the minimization of the infrastructure cost required to build the network. The optimization model considers water reuse between operations as the main mechanisms to reduce freshwater consumption. The proposed method employs the hybrid particle swarm optimization (HPSO), which incorporates the breeding and subpopulation process in genetic algorithm (GA) into PSO. An example of a wastewater reusing network is used to show the algorithm performances under the same conditions. HPSO is shown to be a more efficient method to solve optimal design problems regarding than general GA and PSO, in particular, wastewater reusing networks, according to the results herein obtained.Fourthly, Studied the effect of renewable re-use of wastewater networks, and extends the mathematical model of previous studies. Re-generating unit can remove some impurities which generate on the process of using water, reduce these impurities in the wastewater concentration, so that it can be used again by other units of water used. The objective function of the wastewater network model is minimum fresh water consumption. This paper offers three algorithms of HPSO,PSO and GA to solve a simple computer test. From the results, we can find that HPSO is the most effective algorithms to solve the re-generate and re-use network.Fifthly, the design of reverse logistics network for solid waste should consider two factors: minimize the cost and the undesirable effect for people. This paper addresses the design of reverse logistics network for solid wastes of ecotourism area that involves locating transfer facility and dispose facility. The goal is select the optimum numbers, locations of transfer facilities and dispose facilities to open so that all wastes sources are satisfied at minim um total costs of the reverse logistics network and at maximum the minimum distance between people and dispose facilities. We develop a double—objective integer programming model and provide an efficient heuristic solution procedure for the reverse logistics network design. Computational tests demonstrate the efficiency and feasibility of our heuristics.Sixthly, the design of reverse logistics network for solid waste should consider two factors: minimize the cost and the undesirable effect for people. This paper addresses the design of reverse logistics network for solid wastes of ecotourism area that involves locating transfer facility and dispose facility. The goal is select the optimum numbers, locations of transfer facilities and dispose facilities to open so that al 1 wastes sources are satisfied at minim um total costs of the reverse logistics network and at maximum the minimum distance between people and dispose facilities. We develop a double—objective integer programming model and provide an efficient heuristic solution procedure for the reverse logistics network design. Computational tests demonstrate the efficiency and feasibility of our heuristics.Finally, this article concludes the main content, innovated points and presents a prospect on further studies.