Lauterjung, J.; Pilz, M.; Petryna, Y.; Boxberger, T.; Orunbaev, S.; Moldobekov, B. (2018): MI-DAM - MultI-parameter monitoring and real-time risk assessment of hydroelectric DAMs in the Kyrgyz Republic. GFZ Data Services. Other/Seismic Network. doi:10.14470/6Z7563484593.
Network code:
1M
Type:
Temporary
Time Range:
2018–2020
Terms of use:
Restricted until 08/2024
Archived at:
GFZ
Institution(s):
Helmholtz Zentrum Potsdam (GFZ), Germany; Technische Universität Berlin (TU Berlin), Germany; Central-Asian Institute of Applied Geosciences (CAIAG), Kyrgyzstan; Alberding GmbH, Germany; Airbus Defence and Space Geo GmbH; GEOPRIBOR; HBM, Germany
Creator(s):
Lauterjung, J.; Pilz, M.; Petryna, Y.; Boxberger, T.; Orunbaev, S.; Moldobekov, B.
Description*:
MIDAM
Abstract:
The MI-DAM project will develop a robust, low-cost, and adaptable system that includes an early warning element and time-variable fragility functions. The system will continuously monitor the health of hydroelectric dams and the surrounding slopes, undertake on-site processing of recordings by multi-parameter sensors, and forward the most relevant information to response centers (e.g., civil protection). As an example, the project will focus on the Toktogul dam in Central Kyrgyzstan. Data are available under network code 1M at the GEOFON data centre.
* Description is taken from seismic metadata, and may not match the preferred title for citations.
Boxberger, T.; Fleming, K.; Pittore, M.; Parolai, S.; Pilz, M.; Mikulla, S. (2017). The Multi-Parameter Wireless Sensing System (MPwise): Its Description and Application to Earthquake Risk Mitigation. Sensors, 17, 10, 2400. doi:10.3390/s17102400
Petrovic, B.; Bindi, D.; Pilz, M.; Serio, M.; Orunbaev, S.; Niyazov, J.; Hakimov, F.; Yasunov, P.; Begaliev, U. T.; Parolai, S. (2015). Building monitoring in Bishkek and Dushanbe by the use of ambient vibration analysis. Annals of Geophysics, 58(1). S0110. doi:10.4401/ag-6679
Pilz, M.; Parolai, S.; Bindi, D.; Saponaro, A.; Abdybachaev, U. (2014). Combining Seismic Noise Techniques for Landslide Characterization. Pure and Applied Geophysics, 171, 8, p. 1729-1745. doi:10.1007/s00024-013-0733-3