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The 2020 Arne Richter Award for Outstanding Early Career Scientists is attributed to Weian Chao for his outstanding contributions to improving landslide monitoring systems using existing seismological networks in Taiwan. Chao is a promising young scientist who was trained as a seismologist and is now a practitioner of Environmental Seismology, a rapidly emerging field that employs conventional seismological techniques to explore the earth’s surface processes.
Chao developed a system able to monitor large landslide activities in Taiwan in real time and under all natural conditions using the existing seismic networks: this has no precedent elsewhere in the world. As a result of this successful work, a significant step forward has been made in the effectiveness with which Taiwan can monitor its major mass-wasting activities and act in time to mitigate their damage. This is more impressive than the yet also impressive number of papers Chao has published in his brief professional career. These demonstrate the tangible evidence of his innovative approach in using common seismological techniques to address urgent societal needs for practical knowledge on geohazards in Taiwan.
Chao’s approach is applicable to other regions with comparable landscape settings without much alteration and before long will be a routine practice for established seismometer networks.

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The 2020 Arne Richter Award for Outstanding Early Career Scientists is awarded to Weian Chao in recognition of his major contributions to using existing seismic networks to improve landslide monitoring, allowing authorities to act quickly to mitigate landslide damage.

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Convener: Philippe Jousset
Abstract
| Attendance Tue, 05 May, 08:30–10:15 (CEST)

Chat time: Tuesday, 5 May 2020, 08:30–10:15

D1639 |
EGU2020-12702
| Highlight
| Arne Richter Award for Outstanding ECS Lecture
Wei-An Chao

The rapidly emerging field of Environmental Seismology (EnviroSeis) uses seismological techniques to monitor geomorphic processes at Earth’s surface, providing non-invasive, relatively inexpensive, continuous constraints on physical properties and dynamics of surface processes including landslides, debris flows, snow avalanches, river sediment transport, and variations in groundwater table. EnviroSeis has direct ties to real-time geohazards monitoring and provides timely warnings for the hazard mitigation and assessment. Nowadays, the places in world with real-time seismic networks are ready to implement EnviroSeis. The major topic focused on here is how to provide relevant information on the deep-seated landslides associated to the three-time stages:

  • Pre-slide: (1) seismic precursor and (2) seismic velocity changes corresponding to basal sliding behavior.
  • Sliding: A real-time landquake monitoring (RLMS; http://collab.cv.nctu.edu.tw/main.html)
  • After-slide: (1) near-real-time monitoring of river sediment transport and (2) early warning of the landslide-generated tsunami.

How to cite: Chao, W.-A.: Environmental seismology: Listening to landslides whispering, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12702, https://doi.org/10.5194/egusphere-egu2020-12702, 2020.