Research On Ecosystem Complex Behavior Under The Pressure Of Mineral Resource Development

At present, the sustainable development of mining area ecosystem becomes a most attentive question. To coordinate and solve the contradiction between increasing economic utility of mining exploitation and protecting ecosystem resource and environment in mining area will be an important subject of our research. Mining area ecosystem is a big system with complex behavior, and its dynamic evolutions are impacted not only by inner natural gender but also by many artificial exploitation factors. These inner causes and external causes interplay, mutually restrict and interact to each other, after that it forms a complicated reticulation. The set of these influence factors give huge force to evolution of mining area ecosystem, and it will cause the ecosystem deterioration or keep healthy. When we execute a series of resource exploitation activities in mining area, there are some important links during mim'ng exploitation, such as surveys and appraises the stability, vulnerability and reliablility of mining area environment, timely appraises the influence which exploitation activities give mining area ecosystem, tracks the process of dynamic evolutions and seizes the evolutions trend in order to make the allocate and exploitation of mining resources coordinate with the threshold of ecosystem. For this question, the paper uses several different approaches which from different angle to analyze and research on the complicated evolution of mining area ecosystem. It mainly has the following aspects:First, we do analysis for stability of mining area ecosystem in first chapter. Stability is an underlying property to measure system feature. After analyze the exploration activities which affect the dynamic evolution of mining area ecosystem, we build nonlinear model for mining area ecosystem, compute balance point of the model by use of stability theory of nonlinearity system, then analyze the stability of the balance point ,so that we can ascertain the local stability of mining area ecosystem. Aiming at the chaos complexity activities which may occur during the evolution process of mining area ecosystem, we emphatically analyze the application of associated dimention judgment method and Lyapunov factor analytic approach based on phase space restructuring technique. We can ascertain whether mining area ecosystem have chaos characteristic or not according to these methods. It has important theory value for complexity research of mining area ecosystem.In the fourth chapter, we use the catastrophe theory to make research on ecosystem vulnerability in mining area. Based on some fundamental definition, the causality tree relationship model of ecosystem vulnerability evolution process has been constructed. Acoording to the computation formula of ecosystem collapse evolution we can derive ecosystem vulnerability potential function, and then analyze the critical point in catastrophe model, so that we can obtain some ecosystem vulnerability evolution control strategies under the mineral resource development pressure.At last, we research on the reliability of mining area by combining with stochastic petri net. The whole mining area ecosystem is a big intricate system, for that it is the interfusion of reparable system and irreparable system. We mainly research on more complicated reparable system: Convert Fault Tree model based on factor analysis to SPN of system; Describe the running of reparable system by use of state transition. Build state equation of system according to state transition probability, and get stable available degree of system; Combines with irreparable system to do completely and synthetically analysis for the entire big system. The paper proposes a reliability analysis method for complexity system based on SPN.The paper synthetically describes the dynamic evolutions of mining area ecosystem which is under many factors' influence by use of many methods, such as Nonlinear System theory, Chaos theory, Catastrophe theory, Stochastic Petri Net, Fault Tree and so on. We researches on some system performances index, such as stability, chaotic characteristic, vulnerability, reliability and so on, which build a critical basis for macro-control and formulating strategy when we exploit mineral resource.