復(fù)合電廠生態(tài)系統(tǒng)風(fēng)險評價及預(yù)警系統(tǒng)研究
[Abstract]:Study on ecosystem risk Assessment and early warning system of compound Power Plant, It refers to the inevitable external discharge of various products containing heavy metals in the power generation process of coal-fired thermal power plants for a long time, thus posing an ecological risk threat to the soil ecosystem of the region where the power plants are located, and then to the economy of human society. Health and sustainable development have an impact and threat. Research on appropriate evaluation and early warning methods and design of early warning system is put forward and constructed. Based on the theory of complex system and eco-economic system, the concept of complex power plant ecosystem is put forward in this paper, and the main structure of the system is introduced. The compositional classification of specific subsystems of complex power plant ecosystem was established: power plant combustion system-soil ecosystem and socio-economic system. The three subsystems act as producers, consumers and decomposers of complex ecosystem risks. Secondly, in view of the uncertainty of producer production risks and the limitations of monitoring data, as well as the inherent concealment and complexity of ecosystem risks, An ecological risk assessment model based on Fuzzy probability and I-NEA information network model based on SS-TFN is proposed and established. By using the Fuzzy probability method of SS-TFN, the probability of occurrence of k levels of disturbance is obtained for each ecosystem component, and then k kinds of fuzzy initial risk values are obtained. Through the network control distribution relation, the indirect risk transfer paths are obtained. Compared with the general network evaluation model, there are more (k-1) and (k-1) n integrated ecological risk results. Coupling fuzzy ecological risk assessment method, a threshold-based early warning model is obtained. The model base integration method is selected to evaluate the early warning model and the GIS system integration method. The design idea of the evaluation and early warning system is put forward and the possible system effect diagram is given. Combined with the case study, it can be concluded that the study of ecological risk evaluation should be based on the systematic research environment, and consider the generation, transmission and destination of the risk at the same time. Ecological risk is not only direct risk, but also indirect risk. In addition, the model base integration method is more close to the seamless coupling, which is more conducive to the evaluation of the implementation of the early warning system. It is propitious to take management and control measures in time to ensure the stable operation of power plant in the ecosystem of composite power plant, the steady survival of ecosystem and the sustainable development of social economy.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:X826;F426.61;F224
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