Time：June 29 – July 18, 2019 Place： Chengdu, P.R. China
1. Background
The Silk Road which is known as Silk Route, is an ancient trade and cultural exchanges route that connect China to the east and west since more than two thousand years. The concept of Silk Road is adopted by and evolved as the modern Silk Road which covers over 165 countries and 4.4 billion people (66 % population of the world). However, due to the complex geological and morphological settings, increasing number of extreme weathers under global warming, different types of natural hazards (e.g., ocean disasters, earthquakes, landslides, and debris flows, etc.) occurrence with increasing frequency and intensity, there are huge threats for the Silk Road countries and their livelihoods.
In coherence with Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) and 2030 Agenda for Sustainable Development, Silk Road Disaster Risk Reduction (SiDRR) is launched in 2016 as an international research program on disasters risk reduction. This program is tasked to enhance regional and global actions towards the green and resilient Silk Road by joint force of over 20 research institutes and scientists globally.
2. Training Course
This training program is to be conducted as a follow-up of the SiDRR mega event “International Conference on Silk Roads Disaster Risk Reduction and Sustainable Development” in Beijing, China, in May, 2019. This course would be based on practical knowledge on Natural Sciences and Engineering including theory and case studies followed by applications using suitable software/models. Application of UAV in field survey, post-processing and numerical modeling of landslide/debris flow will be covered in this course. Hence it would be more useful for young scientist having background in natural science and engineering and will be less useful for those in social sciences. This course will cover practical training and mitigations strategies on various disasters including ocean disasters, earthquakes and landslides using field works followed by numerical simulations by senior researchers of geo-hydrological hazards.