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# 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
Passarelli, Luigi • Govoni, Aladino • Francesco, Maccaferri • Woith, Heiko • Strollo, Angelo • (et. al.)
Abstract: The aim of this temporary experiment is to monitor the interaction between crustal fluids and earthquake occurrence. Two sites have been initially investigated: one is in the eastern sector of the Pollino mountain range, located at the border of Southern Apennines chain and Calabrian arc and the other is Mefite d'Ansanto moffete, one of the largest non-volcanic CO_2 emission in the world and located in Irpinia area, in the southern Apennines. The seismicity in the eastern sector of the Pollino range is very low except for a deep (>20km) earthquake swarm which started in the middle of September 2017 and lasted for some weeks with events up to Ml=2.7. The Mefite d'Ansanto site sits at the northern end of the northern fault activated by the M_w 6.8 Irpinia earthquake in 1980 and in the well-known thermal anomaly area of the Mt. Forcuso. A ~10km radius area around Mefite steems out for a very low seismicity rate compared with the high seismicity activity of this portion of Southern Apennines. In the frame of a long-term collaborative efforts made by the German Research Centre for Geoscience (GFZ) and the Istituto Nazionale di Geofisica e Vulcanologia (INGV) in the Pollino area a temporary network has been deployed to analyze the low earthquakes rate, the seismogenic structures and a possible signature of interaction with fluids redistribution within the crust. The temporary network consists of 3 seismic stations equipped with Trillium compact 120 sec. sensors and DCube digitizers using also CCube modules for real time data transmission. One single station with similar hardware has been used also to monitor the Mefite d'Ansanto in the Irpinia area with similar aim. Data is available from the GEOFON data centre, under network code YZ, and is embargoed until three years after the end of the experiments.
# 3
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.
# 4
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.
# 5
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.
# 6
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.
# 7
Thybo, Hans • Balling, Niels • Maupin, Valerie • Ritter, Joachim • Tilmann, Frederik
Abstract: The ScanArray experiment is a major collaborative effort of institutions in Scandinavia and Germany to map crustal and mantle structure below Scandinavia using a dense temporary deployment of broadband seismometers. Scientific questions to be addressed include (among others): 1. What supports the topographic high of the Scandes? 2. How does lithospheric thickness vary within Fennoscandia? 3. What is the internal fabric of the mantle lithosphere? 4. Are there differences in the crustal structure between the different blocks of Fennoscandia? This data set, termed ScanArray core, comprises the temporary stations deployed by the University of Copenhagen, the University of Aarhus, and the University of Oslo, the Karlsruhe Institute of Technology (KIT) and the GeoForschungsZentrum Potsdam (GFZ) as part of the ScanArray experiment. Stations within this dataset are deployed for periods between 2 and 4 years. Data are available from the GFZ seismological data archive with network code 1G. Waveform data will be fully opened in early 2020. The wider ScanArray dataset additionally includes the multi-use temporary deployments Neonor2 (FDSN-code 2D, University of Bergen, NORSAR) and ScanLips3D (University of Leicester; archived at IRIS DMC), and the permanent networks of Sweden (UP, SNSN), Norway (NS, NNSN), Denmark (DK, DNSN) and Finland (HE, FNSN) as well as a subset of NORSAR stations (NO). The SNSN rearranged the distribution of broadband seismometers and deployed additional temporary stations to meet the objectives of the ScanArray experiment. ScanArray core and these other networks (except ScanLips3D) jointly form the virtual network _SCANARRAY. Partners of the ScanArray consortium are: University of Aarhus, Uppsala University, University of Oslo, University of Bergen, Karlsruhe Institute of Technology, NORSAR, University of Copenhagen, Deutsches GeoForschungsZentrum (GFZ) and Istanbul Technical University.
# 8
Passarelli, Luigi • Heryandoko, Nova • Muzli • Rasmid • Zimmer, Martin • (et. al.)
Abstract: The Halmahera island belongs to the North Moluccas province (Maluku Utara), Indonesia. This K-shaped island is located in the eastern part of the Moluccas Sea, the only active arc-arc collision complex on the Earth. The western arm of the K forms a volcanic arc due to the former subduction of the Moluccas Sea plate underneath Halmahera. The region is characterized by intense seismic activity at crustal, intermediate depth, and along the subducting plate. At crustal level the Halmahera seismicity along the two eastern arms of the K show strike-slip faulting style. In November 2015 a localized intense and energetic seismic activity started around Jailolo volcano in the West Halmahera Regency. The seismic sequence intermittently lasted until February 2016 and hundreds of events were felt by the population and several buildings were destroyed and damaged by the shaking. The largest shocks of the sequence have been located by global agencies (GEOFON and GCMT) showing normal faulting style. The temporal evolution of the seismicity seems to be more swarm-like type activity instead of mainshock-aftershock sequence. In spring 2016 a research project has been funded by the German's Humanitarian Aid program in collaboration with BMKG, Indonesia, with the goal of understanding the origin of the intense seismic activity and the related hazard. In summer 2016 we instrumented the area with a dense seismic network composed of 29 short period and 6 broad-band seismometers. The instruments deployment aims at characterizing the seismicity of the Jailolo region in relationship with the 2015-2016 seismic activity. The network will help to understand the seismo-tectonic of the area and the relation between seismicity and the volcanic activity at Jailolo volcano and possible link with the 2015-2016 swarm. Should the seismic activity intensify as in November 2015, we can record it and narrow down the underlying physical mechanisms. Waveform data are available from the GEOFON data centre, under network code 7G, and are embargoed until the end of 2021.
# 9
Walter, Thomas • Gaete, Ayleen • Mikulla, Stefan • Kujawa, Christian • Salzer, Jacqueline • (et. al.)
Abstract: The network consists of 5 stations covering the volcanic cone flanks. These stations were operative during one year with the final purpose of detect likely changes in the seismic activity of Lascar after the 2014 Iquique earthquake. Waveform data are available from the GEOFON data centre, under network code 8E, and are embargoed until 001 2019.
# 10
Walter, Thomas • Gaete, Ayleen • Lara, Luis • Mikulla, Stefan • Kujawa, Christian • (et. al.)
Abstract: The network consistes in 6 stations surronding the fumarole field at Lastarria volcano. These stations were operative during one month with the final purpose of detect changes in the hydrothermal system triggered by passing of seismic waves produced by artificial explosions. Waveform data are available from the GEOFON data centre, under network code 2G, and are embargoed until 001 2019.
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