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Professor Cees van Westen from Geo-Information Science and Earth Observation of the University of Twente visited IGCEA

2018/12/14 15:17:30

Invited by Researcher Xu Chong, Professor Cees van Westen and Assistant Professor Olga Mavrouli from Geo-Information Science and Earth Observation of the University of Twente visited the IGCEA from May 17 to May 19, 2018.
Professor van Westen specializes in using remote sensing and geographic information systems for mapping natural hazards and risk assessment. He has given lectures and carried out research on such aspects in Italy, Argentina, India, Nepal, and other countries. On this occasion, Researcher Xu invited him for academic exchange. 
Professor van Westen gave an oral presentation entitled “Collection and analysis of earthquake-induced landslide inventories input in near-real time landslide probability modeling after earthquakes”. He introduced his recent main work interests, which include: (1) a slope unit-based globally applicable model for near real-time prediction of earthquake-induced landslides and (2) frequency–size statistics of earthquake-induced landslides. First, he pointed out that, though it is important to provide a landslide event inventory after an earthquake, this takes time and is not useful for rapid assessment in the disaster response phase; therefore, a method should be put forward that does not depend on the landslide inventory. Then he described related research and existing problems related to rapid assessment as carried out at present. These problems concern: (1) the lack of a historical seismic landslide inventory; (2) the different quantities of different inventories; (3) the poor quality/resolution of the ground motion parameters; and (4) the missing contribution of some causal factors, e.g. the inaccuracy of the geotechnical parameters of the Newmark models and the hypotheses that ignore topographic amplification and the influence imposed by previous earthquake and landslide events. Finally, he thought that these problems could be solved to build an improved global model by using slope units instead of pixels and building multiple models instead of a single one. After the wonderful talk, Assistant Professor Mavrouli presented her research on rockfall quantitative risk assessment. Considering the seismic effect on rocky slopes, she integrated remote sensing techniques, Lidar, and 3D digital photogrammetry for hazard assessment and applied the methods to roadways at the regional scale. 
The visit of Professor van Westen and Assistant Professor Mavrouli laid a solid foundation for the smooth development of follow-up cooperation and will promote their further exchange on the topic of seismic landslides.