According to the characteristics of ecosystem and concept of the ecosystem in mining area, the index system of the ecosystem health in mining area was set up, and the evaluation standard was established. Aiming at the...According to the characteristics of ecosystem and concept of the ecosystem in mining area, the index system of the ecosystem health in mining area was set up, and the evaluation standard was established. Aiming at the complexion in which the information lost in index ration, the matter element method was put forward to evaluate the ecosystem health in mining area. Making use of the model set up, the weight was built up by the method of index number heavy, the matter element, clas- sical field, and limit field were set up. The rating hierarchy was calculated by relating function. As a case study in the mining area of Pingyangsi Town, the results show that the ecosystem is good and sustainable from 2003 to 2006, but the healthy degree is not high, and some indexes have depravation.展开更多
Uranium is the basic raw material for nuclear energy and is quite highly regarded.Developing a safe supply of uranium is important for safeguarding sustainable nuclear development.The purpose of this study is to evalu...Uranium is the basic raw material for nuclear energy and is quite highly regarded.Developing a safe supply of uranium is important for safeguarding sustainable nuclear development.The purpose of this study is to evaluate the sustainability of uranium development in China based on dynamic system modeling combined with GAN(Generative Adversarial Network)analysis.We considered eight essential indicators and 42 sub-indicators as part of a detailed quantitative description,and then developed a framework to evaluate and rank China-specific sustainability in light of the quantitative performance of five options for fuel cycle transition scenarios.We began by using KMO sample measurements and the Bartlett Test of Sphericity to determine the suitability of factor analysis and the fitness of the corrected model map and observation data.We then analyzed the roles of different representatives of the decision makers and their impacts on the overall ranking by applying GAN methods from a weighted perspective.Five transition scenarios identified are 1)Pressurized Heavy Water Reactors,2)Mixed Light Water Reactor+Fast Reactor,3)Mixed LWR+FR fuel cycle scheme with heterogeneous irradiation,4)Mixed Pressurized Water Reactor+FR fuel cycle scheme with plutonium recycled directly and repeatedly,and 5)Sodium-cooled fast breeder reactor power plant.The results showed that scenario 1 is the most unsustainable and highly confrontational scenario with a high demand for uranium resources,the lowest sustainability and a high level of antagonism among departments.On the other hand,Scenario 5 requires more advanced technology but exhibits less antagonism among the departments,and thus it largely satisfies the basic requirements for uranium sustainability and low levels of antagonism.In this paper,a safety assessment index system for the uranium supply is computed using a GAN framework.This system plays a crucial role in the sustainable supply and development of uranium,and provides flexibility for coping with the evolution and inherent uncertainties of the necessary technological developments.展开更多
文摘According to the characteristics of ecosystem and concept of the ecosystem in mining area, the index system of the ecosystem health in mining area was set up, and the evaluation standard was established. Aiming at the complexion in which the information lost in index ration, the matter element method was put forward to evaluate the ecosystem health in mining area. Making use of the model set up, the weight was built up by the method of index number heavy, the matter element, clas- sical field, and limit field were set up. The rating hierarchy was calculated by relating function. As a case study in the mining area of Pingyangsi Town, the results show that the ecosystem is good and sustainable from 2003 to 2006, but the healthy degree is not high, and some indexes have depravation.
文摘Uranium is the basic raw material for nuclear energy and is quite highly regarded.Developing a safe supply of uranium is important for safeguarding sustainable nuclear development.The purpose of this study is to evaluate the sustainability of uranium development in China based on dynamic system modeling combined with GAN(Generative Adversarial Network)analysis.We considered eight essential indicators and 42 sub-indicators as part of a detailed quantitative description,and then developed a framework to evaluate and rank China-specific sustainability in light of the quantitative performance of five options for fuel cycle transition scenarios.We began by using KMO sample measurements and the Bartlett Test of Sphericity to determine the suitability of factor analysis and the fitness of the corrected model map and observation data.We then analyzed the roles of different representatives of the decision makers and their impacts on the overall ranking by applying GAN methods from a weighted perspective.Five transition scenarios identified are 1)Pressurized Heavy Water Reactors,2)Mixed Light Water Reactor+Fast Reactor,3)Mixed LWR+FR fuel cycle scheme with heterogeneous irradiation,4)Mixed Pressurized Water Reactor+FR fuel cycle scheme with plutonium recycled directly and repeatedly,and 5)Sodium-cooled fast breeder reactor power plant.The results showed that scenario 1 is the most unsustainable and highly confrontational scenario with a high demand for uranium resources,the lowest sustainability and a high level of antagonism among departments.On the other hand,Scenario 5 requires more advanced technology but exhibits less antagonism among the departments,and thus it largely satisfies the basic requirements for uranium sustainability and low levels of antagonism.In this paper,a safety assessment index system for the uranium supply is computed using a GAN framework.This system plays a crucial role in the sustainable supply and development of uranium,and provides flexibility for coping with the evolution and inherent uncertainties of the necessary technological developments.
