As China needs to play a more active role in global energy governance, it must create a diversified, multi-level system to enhance energy security and to alleviate environmental pressures. A China-IEA bilateral relati...As China needs to play a more active role in global energy governance, it must create a diversified, multi-level system to enhance energy security and to alleviate environmental pressures. A China-IEA bilateral relationship exists under an Association Initiative, but a stronger bond is needed. Though it is not an IEA member, China's massive energy needs makes it sensible that the two sides overcome existing obstacles that include OECD membership, statistical information issues and energy autonomy. In this regard an "IEA+China" might be a feasible model.展开更多
Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term service.Current analysis methods used to obtain safety monitor...Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term service.Current analysis methods used to obtain safety monitoring data are suited only to single survey point data.Unreliable or even paradoxical results are inevitably obtained when processing large amounts of monitoring data,thereby causing difficulty in acquiring precise conclusions.Therefore,we have developed a new method based on multi-source information fusion for conducting a comprehensive analysis of prototype monitoring data of high dams.In addition,we propose the use of decision information entropy analysis for building a diagnosis and early-warning system for the long-term service of high dams.Data metrics reduction is achieved using information fusion at the data level.A Bayesian information fusion is then conducted at the decision level to obtain a comprehensive diagnosis.Early-warning outcomes can be released after sorting analysis results from multi-positions in the dam according to importance.A case study indicates that the new method can effectively handle large amounts of monitoring data from numerous survey points.It can likewise obtain precise real-time results and export comprehensive early-warning outcomes from multi-positions of high dams.展开更多
文摘As China needs to play a more active role in global energy governance, it must create a diversified, multi-level system to enhance energy security and to alleviate environmental pressures. A China-IEA bilateral relationship exists under an Association Initiative, but a stronger bond is needed. Though it is not an IEA member, China's massive energy needs makes it sensible that the two sides overcome existing obstacles that include OECD membership, statistical information issues and energy autonomy. In this regard an "IEA+China" might be a feasible model.
基金Project supported by the National Natural Science Foundation of China (Nos. 51139001,51179066,51079046,and 50909041)
文摘Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly important in ensuring their long-term service.Current analysis methods used to obtain safety monitoring data are suited only to single survey point data.Unreliable or even paradoxical results are inevitably obtained when processing large amounts of monitoring data,thereby causing difficulty in acquiring precise conclusions.Therefore,we have developed a new method based on multi-source information fusion for conducting a comprehensive analysis of prototype monitoring data of high dams.In addition,we propose the use of decision information entropy analysis for building a diagnosis and early-warning system for the long-term service of high dams.Data metrics reduction is achieved using information fusion at the data level.A Bayesian information fusion is then conducted at the decision level to obtain a comprehensive diagnosis.Early-warning outcomes can be released after sorting analysis results from multi-positions in the dam according to importance.A case study indicates that the new method can effectively handle large amounts of monitoring data from numerous survey points.It can likewise obtain precise real-time results and export comprehensive early-warning outcomes from multi-positions of high dams.
