Evolution Of Integrated Solid Waste Management System And Control Model

Integrated solid waste management system is a novel solid waste management development mode, which is designed to improve resource utilization and prevent environmental pollution and aimed at the sustainable development of society. By way of solid waste management practice people gradually knows that solid waste management is a complex system which subsystem is interaction and independent, holism view is needed to study complex solid waste management. The study method of traditional solid waste management decision making system is "Reductionism" and static model; these methods have limitations to understand complex system. Solid waste management is a complex and open technology economics system, solid waste management has all features of complex and complex adaptive system. A decision making system that has the ability to forecasting, simulating, optimization and intervention analysis is needed to help people making scientific decision for complex solid waste management. The perspectives of such decision making system should be holistic and comprehensive, the decision making system is keeping with complex internal working mechanism, description complex working law, and not a single-faceted and reductionism method. In this paper, from macro view and micro view, complex feedback system and complex adaptive system has been introduced to study the model of solid waste management system dynamic evolving simulating model, which will improve solid waste management optimization and intervention study, and improve the modeling method based on system evolving. By following up-to-date study about solid waste management decision making model, integrating current methods and models with complex model, it will be a base to set up a. holistic and comprehensive solid waste management decision making system. According to above discussion, the paper carried out some research as follows.The complexity of interacted solid waste management has been analyzed using complex theory, establishing a complex theory for integrated solid waste management. Municipal solid waste management involving source intervention policies, domestic separate collection and solid waste deposal system has been taken as an evolutionary feedback system. Based on this, a system dynamics model has been developed to analyze the dynamic impact on the whole solid waste management under solid waste specific duty and regulation for illegal disposal. Three supposed combination polices experiments suggest that promoting domestic separate collection by specific duty integrated with regulation for controlling waste illegal disposals is as important as to increase solid waste disposal ability for sustainable solid waste management.Through the complexity science, solid waste management system can be viewed as a kind of CAS, the exertion of CAS theory describing mechanism evolvement of solid waste management system. The theory of CAS and the method of Agent-based modeling are introduced into the research to explore the evolving process of solid waste management systems. Solid waste management system is a CAS, because the evolution and development of the system is the result of self-decision making, interaction of a large amount of agents. This thesis puts forward a simulation framework of agent-based modeling which can be properly applied to solid waste management system. This is bottom-up simulation process, and will be the research method of the study. In this model, a novel method integrating Agent-Based and System Dynamics modeling was used to develop the solid waste treatment enterprise Agent which is very difficult to be realized by Agent-based method self. This will be very helpful for studying solid waste management sustainability and a scientific theory for studying it's complexity. Agent based simulating method and mechanism has been investigated. The architecture of Repast and discrete event schedule mechanism of Repast was analyzed. Go step further, key techniques of Agent based modeling applications have been studied.To understand the effect of household separation behavior for unban solid waste management efficiency is very important for sustainable development. It will be helpful for foreseeing and intervening household separation activities, and designing, regulating and optimizing household separation behavior by policy design. This paper developed an Agent-based solid waste management simulation artificial society model, described Agents modeling and their interactions in detail. This is particularly useful for enabling the evaluation of different scenarios for policy making, can help both to identify effective interventions points and to design or discuss successful policies. A new and promising approach is to model solid waste management as an artificial society based on complex adaptive system view using Agent-based modeling and simulation approach. Advanced modeling approaches are needed that simulate the behavior of solid waste management over time and model how household may act and react to changes in the underling different pricing system. This paper illustrates how the model was used as a policy lab in which various pricing and incentive strategies were tested that allowed addressing "what, if-question" under controlled conditionsAt last, the paper pointed out the problems needed to be studied in the future.