A Ms 8.0 large earthquake occurred in Sichuan,China on May 12,2008（hereafter called 5.12 Earthquake）,and then a large debris flow happened in the quake-hit Qingping Township of Mianzhu county on August 13,2008（here...A Ms 8.0 large earthquake occurred in Sichuan,China on May 12,2008（hereafter called 5.12 Earthquake）,and then a large debris flow happened in the quake-hit Qingping Township of Mianzhu county on August 13,2008（hereafter called 8.13 Debris Flow）.The influence of two disasters on the changes in land use were analyzed by using highresolution aerial photos and satellite remote sensing images taken before and after the 5.12 Earthquake and 8.13 Debris Flow,the selection of suitable construction land were studied by learning experiences and lessons from the selection of resettlement areas and through field surveys and with land use transfer model and analytical model in combination with RS and GIS.The results showed that the influence of the 5.12 Earthquake on ecological environment was far greater than that of the 8.13 Debris Flow;there were more salient conflicts between population and land after the earthquake.Sites for post-disaster reconstruction should not be in disaster-prone areas or in gully-facing areas.Suitable land for settlement construction in I-1~I-5 low-hazard zones is optimal settlement areas for post-disaster reconstruction.展开更多
A system for prognosis of tank failures was set up based on the results of analysis on fault phenomena. An algorithm incorporating fuzzy mathematics with the BP neural network was used to solve this prognosis model, a...A system for prognosis of tank failures was set up based on the results of analysis on fault phenomena. An algorithm incorporating fuzzy mathematics with the BP neural network was used to solve this prognosis model, and the availability of this model was also analyzed. This neural network-based fuzzy system for prognosis of tank failures has been put into operation at Huangdao oil terminal. The application results have shown that this system is effective for real-time prognosis of various potential tank failures and timely adoption of mitigative measures to avoid major tank accidents, which would have great significance for safeguarding the safe operation of the oil terminal.展开更多
基金supported by the Directional Project (Grant No. KZCX2-EW-317)Western Light Project (Grant No. 09R2340340) of Chinese Academy of SciencesNational Natural Science Funds (Grant No. 41071350,41101552)
文摘A Ms 8.0 large earthquake occurred in Sichuan,China on May 12,2008（hereafter called 5.12 Earthquake）,and then a large debris flow happened in the quake-hit Qingping Township of Mianzhu county on August 13,2008（hereafter called 8.13 Debris Flow）.The influence of two disasters on the changes in land use were analyzed by using highresolution aerial photos and satellite remote sensing images taken before and after the 5.12 Earthquake and 8.13 Debris Flow,the selection of suitable construction land were studied by learning experiences and lessons from the selection of resettlement areas and through field surveys and with land use transfer model and analytical model in combination with RS and GIS.The results showed that the influence of the 5.12 Earthquake on ecological environment was far greater than that of the 8.13 Debris Flow;there were more salient conflicts between population and land after the earthquake.Sites for post-disaster reconstruction should not be in disaster-prone areas or in gully-facing areas.Suitable land for settlement construction in I-1~I-5 low-hazard zones is optimal settlement areas for post-disaster reconstruction.
文摘A system for prognosis of tank failures was set up based on the results of analysis on fault phenomena. An algorithm incorporating fuzzy mathematics with the BP neural network was used to solve this prognosis model, and the availability of this model was also analyzed. This neural network-based fuzzy system for prognosis of tank failures has been put into operation at Huangdao oil terminal. The application results have shown that this system is effective for real-time prognosis of various potential tank failures and timely adoption of mitigative measures to avoid major tank accidents, which would have great significance for safeguarding the safe operation of the oil terminal.
