Awareness and resilience
through European multi sensor system

A Euratom H2022 research project
Awareness and resilience through European multi sensor system

Danciu L., Nandan S., Reyes C., Basili R., Weatherill G., Beauval C., Rovida A., Vilanova S., Sesetyan K., Bard P-Y., Cotton F., Wiemer S., Giardini D. (2021). The 2020 update of the European Seismic Hazard Model: Model Overview. EFEHR Technical Report 001, v1.0.0,

Scientific Background

Artemis will place over 100 sensors for radon detection and measurements along fault zones in earthquake prone areas in Greece and Italy, and a minor set along the Swiss Alps. Radon emission and variations in concentration has since long been proposed and used as an earthquake precursor. One will find over 600 publications when searching for radon as an earthquake precursor. There are several problems associated with radon measurements published in the literature: a large set of measurements have been performed in air or soil, that carry substantial uncertainties due to large variations of the natural background. Other reports rely on rather large distances between measurements sites and the epicenter, uncertain time window etc.

The present project will shed light on many issues related to radon measurements and analysis, by (i) measuring radon with a high spatial resolution due to the large number of sensors, (ii) measurements in groundwater in real time, and (iii) by deploying advanced data analysis via machine learning algorithms.

ArtEmis’ ultimate aim is to improve earthquake forecasting. While it is possible to forecast earthquakes in specific regions (e.g. an earthquake of a certain magnitude will occur in the next 50 years at a certain location with a certain probability), with present knowledge, predictions of earthquakes (i.e. when and where exactly an earthquake is going to occur) are not possible. However, using the definition accepted in literature by Max Wyss* (see below), requiring accurate information about the location within a certain radius, estimation of the magnitude and a time window when an earthquake will occur, we will be able to test our precursor signals against short-term predictions of earthquakes.

An important aim of artEmis is to provide new/novel knowledge about the quantitative relation of various proxies that can act as precursors, that are to be measured in groundwater, and to correlate these data to subsequent earthquakes. Since the likelihood of a large earthquake during the duration of the project is not very high, information gathered on the relation of potential precursors to seismic activity will be somewhat limited. Hence, one needs to realize that artEmis will require continuation and if possible, expansion for further advancement of our knowledge. Provided the artEmis sensor system is working well, members of artEmis will engage to find financial support for the continuation and expansion of the network, as outlined in the communication and dissemination strategy.

Read the full description

Crowley H., Dabbeek J., Despotaki V., Rodrigues D., Martins L., Silva V., Romão X., Pereira N., Weatherill G., Danciu L. (2021). European Seismic Risk Model (ESRM20), EFEHR Technical Report 002, V1.0.0, 84 pp,


Smart sensor unit, detector development and inte-gration, field design, GSI, Radontech, SURO, KTH, AUTh,JRC
Site Mapping, field studies natural background measurements, calibration, Univaq, AUTh, INGV, ETH.
Scalable sensor network architecture, KTH, GSI
Field tests and placement of sensor units a: Abruzzi, b: Ionian Islands, c: Swiss Alps.
AUTh, Univaq, ETH, INGV, KTH
Distributed Edge-AI integration and data analysis tools, SU, KTH.
Communication, dissemination, exploitation, continuation pilot project with municipalities, outreach to public bodies,
IESE, communita L’Aquila, association of municipalities of Ionian Islands, INGV, KTH, AUTh.

News and Events

ArtEmis General Assembly
March 20-22nd 2024
Fondation Universitaire (Universitaire Stichting), Brussels
further information coming soon



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