{"id":14292,"date":"2022-06-02T07:47:10","date_gmt":"2022-06-02T07:47:10","guid":{"rendered":"https:\/\/glofca.org\/en\/news\/modelling-workshop-with-project-partners-and-zurich-university-in-may-and-july-2022\/"},"modified":"2022-06-02T07:47:10","modified_gmt":"2022-06-02T07:47:10","slug":"modelling-workshop-with-project-partners-and-zurich-university-in-may-and-july-2022","status":"publish","type":"news","link":"https:\/\/glofca.org\/en\/news\/modelling-workshop-with-project-partners-and-zurich-university-in-may-and-july-2022\/","title":{"rendered":"Modelling Workshop with Project Partners and Zurich University in May and July 2022"},"content":{"rendered":"<p><p>The University of Zurich (UZH), in its role as lead implementing partner to the Executing Entity of UNESCO within the GLOFCA Project, organizes a technical training addressed to experts in the field of natural hazards management for the numerical modelling of rapid mass movements and glacier lake outburst floods in particular.A detailed prediction of the height, the velocity and the impact pressure of mass movements are the basis for natural hazard assessment.The software RAMMS was specially designed to provide practitioners with a tool that can be applied to analyze problems that cannot be solved with one-dimensional models.RAMMS is a reliable numerical simulation tool yielding runout distance, flow heights, flow velocities and impact pressure of dense flow snow avalanches, hillslope landslides, glacier lake outburst floods (GLOFs) and debris flows.link:&nbsp;<a href=\"httpss:\/\/ramms.slf.ch\/ramms\/\">httpss:\/\/ramms.slf.ch\/ramms\/<\/a><\/p>\n<p>The course is divided in two introductory webinars and a face-to-face workshop, which will be held in Almaty.&nbsp;<\/p>\n<p>On the 16th of Mai 2022, the first webinar took place.The four panelist, Prof. Christian Huggel, Dr. Perry Bartelt, Dr. Holger Frey and Dr. Alessandro Cicoira introduced general topics from disaster risk reduction and numerical modelling of rapid mass movements.&nbsp;<br \/>Examples from different continents and different types of mass movements were covered, including snow avalanches, rockfalls, and GLOFs.<\/p>\n<p>A large audience of almost 50 experts from the four Republic in Central Asia participated to the training.<\/p>\n<p>On the 1st of June, the second webinar took place.The participants heard about the challanges and the assumptions used in the model from Dr. Brian McArdel.Also, two examples of mass movements from the Swiss Alps were examined in detail to illustrate the functionality and the potential of the model.The participants had the chance to get training on how to deal with highly relevant objects and obstacles such as houses, but also with low friction areas, such as roads.<\/p>\n<p>Thanks to all the organizers from the UNESCO Almaty, the University of Zurich, the WSL-SLF institute, the translators, and all the interested participants, the two events were a success.These two webinars pave the road for the upcoming workshop that will be held in Almaty from the 27th to the 30th of June.There, the participants will have the opportunity to work with international experts on GLOFs modelling, follow hands-on exercises, and autonomously develop their own study cases.&nbsp;<\/p>\n<p>\u200b\u200b\u200b\u200b<span style=\"font-weight: 400;\">On the last week of July 2022, 23 participants from the four Central Asia Republics participated in a training on numerical modelling of Glacier Lake Outburst Floods (GLOF).&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The event was organized by the University of Zurich (Alessandro Cicoira), the Snow and Avalanche Research Centre SLF in Davos (Perry Barlet, Jessica Munch, Olga Gorynina) and the UNESCO office in Almaty (Natalia Kim and Gulnaz Abdaliyeva), with additional help of the State Institute Kazselezashita under Ministry of Emergency Situations of the Republic of Kazakhstan (Murat Kassenov).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The participants were accurately selected amongst national authorities, research centers and universities, where professional personnel is currently working for mitigating GLOF risk.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The participants had the opportunity to learn how to use the software RAMMS. During the first day, several lectures about flow dynamics, GLOF breaching and open access data provided the basis for the rest of the training. All the participants learnt how to simulate rapid mass movements. Despite some theory being indispensable, the workshop room got warmer up quickly due to the heat generated by the computers. By the morning of the second day, everybody knew how to obtain its own data and independently run a numerical simulation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The second day of the training an interesting field visit led by Mr Murat Kassenov brought the participants to the catchment of Talgar. There, the experts from the State Institute Kazselezashita and from the University of Zurich discussed mitigation measures, GLOF dynamics and numerical modelling keeping in mind the potential and the limitations of the software used in the course.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The following two days were very busy, with the participants working briskly in order to obtain the maximum out of this block course. Many simulations have been performed, including the four pilot sites of the GLOFCA Project. The participants also simulated successfully with the help of the teachers some other case studies relevant for their work.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">During the last day of the training, in a conference fashion, each country presented their own study cases, the success and the problems that they encountered during the course. Finally, official learning certificates were endorsed to the participants, who will continue to work with the software in their professional and academic life. The institutions participating to the course are now equipped with 4 years licenses and ongoing support for their work.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The course served at providing the fundamental basis for numerical simulations of GLOFS, but it also worked as a very effective international networking platform, both on a professional and personal level. Many collaborations have been discussed already and more will likely follow, in the best interest of capacity building, development and cooperation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0412 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u044e\u044e \u043d\u0435\u0434\u0435\u043b\u044e \u0438\u044e\u043b\u044f 2022 \u0433\u043e\u0434\u0430 23 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0430 \u0438\u0437 \u0447\u0435\u0442\u044b\u0440\u0435\u0445 \u0440\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a \u0426\u0435\u043d\u0442\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0410\u0437\u0438\u0438 \u043f\u0440\u0438\u043d\u044f\u043b\u0438 \u0443\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0442\u0440\u0435\u043d\u0438\u043d\u0433\u0435 \u043f\u043e \u0447\u0438\u0441\u043b\u0435\u043d\u043d\u043e\u043c\u0443 \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u043f\u0430\u0432\u043e\u0434\u043a\u043e\u0432 \u043e\u0442 \u043f\u0440\u043e\u0440\u044b\u0432\u0430 \u043b\u0435\u0434\u043d\u0438\u043a\u043e\u0432\u044b\u0445 \u043e\u0437\u0435\u0440 (\u041f\u041f\u041b\u041e).&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u041c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u0435 \u0431\u044b\u043b\u043e \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u043e\u0432\u0430\u043d\u043e \u0426\u044e\u0440\u0438\u0445\u0441\u043a\u0438\u043c \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u043e\u043c (\u0410\u043b\u0435\u0441\u0441\u0430\u043d\u0434\u0440\u043e \u0427\u0438\u043a\u043e\u0439\u0440\u0430), \u0426\u0435\u043d\u0442\u0440\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0439 \u0441\u043d\u0435\u0433\u0430 \u0438 \u043b\u0430\u0432\u0438\u043d SLF \u0432 \u0414\u0430\u0432\u043e\u0441\u0435 (\u041f\u0435\u0440\u0440\u0438 \u0411\u0430\u0440\u043b\u0435\u0442, \u0414\u0436\u0435\u0441\u0441\u0438\u043a\u0430 \u041c\u0443\u043d\u043a, \u041e\u043b\u044c\u0433\u0430 \u0413\u043e\u0440\u044b\u043d\u0438\u043d\u0430) \u0438 \u041a\u043b\u0430\u0441\u0442\u0435\u0440\u043d\u044b\u043c \u0431\u044e\u0440\u043e \u042e\u041d\u0415\u0421\u041a\u041e \u0432 \u0410\u043b\u043c\u0430\u0442\u044b (\u041d\u0430\u0442\u0430\u043b\u044c\u044f \u041a\u0438\u043c \u0438 \u0413\u0443\u043b\u044c\u043d\u0430\u0437 \u0410\u0431\u0434\u0430\u043b\u0438\u0435\u0432\u0430) \u043f\u0440\u0438 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u043f\u043e\u043c\u043e\u0449\u0438 \u0413\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0443\u0447\u0440\u0435\u0436\u0434\u0435\u043d\u0438\u044f &#8220;\u041a\u0430\u0437\u0441\u0435\u043b\u0435\u0437\u0430\u0449\u0438\u0442\u0430&#8221; \u043f\u0440\u0438 \u041c\u0438\u043d\u0438\u0441\u0442\u0435\u0440\u0441\u0442\u0432\u0435 \u0427\u0440\u0435\u0437\u0432\u044b\u0447\u0430\u0439\u043d\u044b\u0445 \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u0439 \u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0438 \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0423\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0438 \u0431\u044b\u043b\u0438 \u0442\u0449\u0430\u0442\u0435\u043b\u044c\u043d\u043e \u043e\u0442\u043e\u0431\u0440\u0430\u043d\u044b \u0441\u0440\u0435\u0434\u0438 \u043d\u0430\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u043e\u0440\u0433\u0430\u043d\u043e\u0432 \u0432\u043b\u0430\u0441\u0442\u0438, \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0445 \u0446\u0435\u043d\u0442\u0440\u043e\u0432 \u0438 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u043e\u0432, \u0433\u0434\u0435 \u0432 \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u043a\u0430\u0434\u0440\u044b \u043f\u043e \u0441\u043d\u0438\u0436\u0435\u043d\u0438\u044e \u0440\u0438\u0441\u043a\u0430 \u041f\u041f\u041b\u041e.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0423\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0438 \u0438\u043c\u0435\u043b\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043d\u0430\u0443\u0447\u0438\u0442\u044c\u0441\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u044b\u043c \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u0435\u043c RAMMS. \u0412 \u0442\u0435\u0447\u0435\u043d\u0438\u0435 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u0434\u043d\u044f \u043b\u0435\u043a\u0446\u0438\u0438 \u043e \u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0435 \u043f\u043e\u0442\u043e\u043a\u0430, \u041f\u041f\u041b\u041e \u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e\u0442\u043a\u0440\u044b\u0442\u043e\u0433\u043e \u0434\u043e\u0441\u0442\u0443\u043f\u0430 \u043f\u043e\u0441\u043b\u0443\u0436\u0438\u043b\u0438 \u043e\u0441\u043d\u043e\u0432\u043e\u0439 \u0434\u043b\u044f \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u043e\u0439 \u0447\u0430\u0441\u0442\u0438 \u0442\u0440\u0435\u043d\u0438\u043d\u0433\u0430. \u0412\u0441\u0435 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0438 \u043d\u0430\u0443\u0447\u0438\u043b\u0438\u0441\u044c \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0431\u044b\u0441\u0442\u0440\u044b\u0435 \u0434\u0432\u0438\u0436\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441. \u041d\u0435\u0441\u043c\u043e\u0442\u0440\u044f \u043d\u0430 \u0442\u043e, \u0447\u0442\u043e \u0431\u0435\u0437 \u0442\u0435\u043e\u0440\u0438\u0438 \u0431\u044b\u043b\u043e \u043d\u0435 \u043e\u0431\u043e\u0439\u0442\u0438\u0441\u044c, \u043f\u043e\u043c\u0435\u0449\u0435\u043d\u0438\u0435 \u0441\u0435\u043c\u0438\u043d\u0430\u0440\u0430 \u0431\u044b\u0441\u0442\u0440\u043e \u043d\u0430\u0433\u0440\u0435\u0432\u0430\u043b\u043e\u0441\u044c \u0438\u0437-\u0437\u0430 \u0442\u0435\u043f\u043b\u0430, \u0432\u044b\u0434\u0435\u043b\u044f\u0435\u043c\u043e\u0433\u043e \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438. \u041a \u0443\u0442\u0440\u0443 \u0432\u0442\u043e\u0440\u043e\u0433\u043e \u0434\u043d\u044f \u0432\u0441\u0435 \u0437\u043d\u0430\u043b\u0438, \u043a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0438 \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0447\u0438\u0441\u043b\u0435\u043d\u043d\u043e\u0435 \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u041d\u0430 \u0432\u0442\u043e\u0440\u043e\u0439 \u0434\u0435\u043d\u044c \u0442\u0440\u0435\u043d\u0438\u043d\u0433\u0430 \u0441\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u0439 \u043f\u043e\u043b\u0435\u0432\u043e\u0439 \u0432\u044b\u0435\u0437\u0434 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u043e\u0432 \u043d\u0430 \u0432\u043e\u0434\u043e\u0441\u0431\u043e\u0440\u043d\u044b\u0439 \u0431\u0430\u0441\u0441\u0435\u0439\u043d \u0422\u0430\u043b\u0433\u0430\u0440\u0430 \u043f\u043e\u0434 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e\u043c \u0433-\u043d\u0430 \u041c\u0443\u0440\u0430\u0442\u0430 \u041a\u0430\u0441\u0435\u043d\u043e\u0432\u0430. \u0422\u0430\u043c \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u044b \u0438\u0437 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