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“The study on Large-scale landslides in Western mountainous areas” of “973 Program” has past MOST and classified as excellent ----2018-09-11

Ministry of Science and Technology (MOST) has released the checking results of the two projects in 2011 and the 184 projects in 2013 within the National Basic Research Program of China (973 Program). The research on disaster-causing factor identification, precursor information acquisition and early warning of the 973 Program, mainly organized by scientist Huang Runqiu in our lab, has successful accepted by MOST as well as became one of the 56 “excellent” programs, and it is also the only project in Sichuan Province that has received the “excellent” acceptance result in the same batch.


According to available statistics, China registered 310 thousand geological disasters from 2001 to 2011 which left more than 100 thousand people dead or unaccounted for and made a total direct economic loss of 43.445 billion Yuan. Landslide account for more than 70% of global geological disasters. The landslide, especially in west mountain areas of China, globally has representativeness and particularity with the features including large scale, high complexity, and high loss and less methods of prevention. To copy with those difficulties and protect people's lives and property, our lab with Prof. Huang as the chief scientist launched the program, which jointly organized by Tongji University, Wuhan University, Institute of Geodesy and Geophysics of Chinese Academy of Sciences, Institute of Mountain Hazards of Chinese Academy of Sciences, China Earthquake Networks Center, RADI and China University of Geosciences.


Over the past five years, the program groups has made breakthrough progress in terms of the researches on six fields, such as the study on geo-mechanics and disaster mode of long-term evolution of large landslides, identification methods of large landslide hazard factors, dynamic detection of the structure of landslides and acquisition of precursor information, stereoscopic observation of landslide multi-source sensor network, the method of multi-source observation data and landslide mechanism model as well as early warning model and method for large-scale landslide hazard. As a result, 308 papers (171 listed in SCI, 34 in EI) and 7 monographs has been published. Furthermore, 25 patents (including 12 invention patents and 13 utility model patents) of the program has been authorized, 20 patents and 5 software copyrights has been filed.


        Together with our efforts, a new landslide cause classification scheme has come out that build a new classification system for finding the disaster-deducing factors of large-scale concealed landslide, revealing several types of typical landslide disaster mechanism and disaster-deducing factors. We have also built a three-dimensional recognition diagram of disaster mode and an early identification and precursor identification system, presented the collaborative detection methods featuring multi-time, multi-precision and multi-dimensions and an space-air-land-internal stereoscopic observation and detection method, developed the technology for gaining the information of disaster-causing factors and the detection technology for landslide internal rupture, which greatly improve the accuracy of the early warning of landslide and achieved remarkable result. At the same time, a more specific early warning model for the gravity landslide and rainfall-induced landslide have been established through the research and development of the real-time monitoring and early warning platform. At this point, the landslide warning technology has gradually become more practical and automated. In recent years, many landslides in western China have been successfully prevented and thousands of lives and property have been protected.