5 documents found in 115ms
# 1
Kufner, Sofia-Katerina • Kakar, Najibullah • Murodkulov, Shokhruhk • Schurr, Bernd • Yuan, Xiaohui • (et. al.)
Abstract: The Pamir-Hindu Kush region of Tajikistan and NE Afghanistan stands out due to its worldwide unique zone of intense intermediate depth seismicity, accommodating frequent Mw 7+ earthquakes with hypocenters reaching down to 250 km depth. With this network we aim to collect data allowing to characterize the active deformation within the Hindu Kush mountains and the Tajik-Afghan basin at the northwestern tip of the India-Asia collision zone. The network consists 15 sites (14 stations in Afghanistan, 1 station in Tajikistan), situated on top of the nest of intermediate depth seismicity and further west in the Afghan platform. The stations are equipped with short period Mark seismometers and Cube data recorders. Waveform data are available from the GEOFON data centre, under network code 4C, and are embargoed until 2023. After the end of embargo, data will be openly available under CC-BY 4.0 license according to GIPP-rules.
# 2
Lauterjung, J. • Pittore, M. • Bindi, D. • Boxberger, T. • Fleming, K. • (et. al.)
Abstract: Building monitoring and decentralized, on-site Earthquake Early Warning system for the Kyrgyz capital Bishkek. Several low cost sensors equipped with MEMS accelerometers have been installed in eleven buildings within the urban area of the city. The different sensing units communicate with each other via wireless links and the seismic data are streamed in real-time to data centres at GFZ and the Central Asian Institute for Applied Geoscience (CAIAG) using internet. Since each sensing unit has its own computing capabilities, software for data processing can be installed to perform decentralised actions. In particular, each sensing unit can perform event detection tasks and run software for on-site early warning. If a description for the vulnerability of the building is uploaded to the sensing unit, this can be exploited to introduce the expected probability of damage in the early-warning protocol customized for a specific structure. Waveform data are available from the GEOFON data centre, under network code KD.
# 3
Lauterjung, J. • Pittore, M. • Bindi, D. • Boxberger, T. • Fleming, K. • (et. al.)
Abstract: Earthquake Early Warning and Rapid Response Systems (EEWRRS) should be a viable complement to other disaster risk reduction strategies, particularly in economically developing countries. The „Early Warning and Impact Forecasting“ group (GFZ, section 2.6) is actively involved in the development of novel strategies to develop scientific and technological solutions that may be efficiently applied in countries with limited resources. The proposed solution includes a risk estimation module that extracts from a portfolio of precomputed impact scenarios those matching the characterization of the event detected by an optimized real-time monitoring network. The real-time network integrates both local, on-site components based on low-cost, smart sensor platforms, as well as regional, sparse strong-motion stations. This hybrid solution allows for the optimization of the lead-time and is tailored to the seismotectonic features of the considered region. A prototype EEWRR System is being developed for the Kyrgyz Republic, with the support of the partner CAIAG and in collaboration with the Ministry of Emergency Solutions of the Government of the Kyrygz Republic (MES). Waveform data are available from the GEOFON data centre, under network code AD.
# 4
Pittore, M. • Boxberger, T. • Fleming, K. • Megalooikonomou, K. • Parolai, S. • (et. al.)
Abstract: DESTRESS is a Horizon-2020 supported project (Topic: Demonstration of renewable electricity and heating/cooling technologies) that is concerned with creating EGS (enhanced geothermal systems) for the more economical, sustainable and environmentally responsible exploitation of underground heat. The international consortium, representing academic, geothermal sites and industry, will utilize the latest developments in the use of hydraulic, chemical and thermal treatments for enhancing the productivity of geothermal reservoirs, with considerable interaction with various interests groups and the thorough assessment of the associated risk, in particular that associated with induced seismicity. The GFZ workgroup "Early warning and Impact Forecasting" is involved in the exposure modelling, vulnerability analysis and building monitoring of communities near geothermal production facilities, making use of tools developed both in previous and ongoing projects. Waveform data are available from the GEOFON data centre, under network code 2D, and are embargoed until Aug 2024.
# 5
Lauterjung, J. • Pilz, M. • Petryna, Y. • Boxberger, T. • Orunbaev, S. • (et. al.)
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. Waveform data are available from the GEOFON data centre, under network code 1M, and is embargoed until Aug 2024.
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