Periodic Reporting for period 1 - artEmis (Awareness and resilience through European multi sensor system)
Reporting period: 2022-10-01 to 2024-03-31
Earthquake are causing immeasurable damage to human life and is preventing socio economic development in devastated areas. To improve our capacity to forecast earthquake is the main objective of artEmis.
ArtEmis will develop a smart sensor system, monitoring radon, temperature, acidity and other observables in groundwater in real time. The ground-breaking sensor design will assure affordability, resilience and low power consumption optimizing life cycle management. The project aims to produce 100-200 sensors, that will be deployed in sensitive sites in collaboration with municipalities. Changes in radon concentration have the potential to serve as precursor for earthquakes and volcano eruptions. To advance our knowledge in this field we develop a cheap sensor system, that can be employed on a large scale in earthquake prone areas of Europe. The real time collected data is used to build machine learning (ML) models for the analysis. The collected and AI processed data will generate a real time map of hydrological and geochemical changes that is shared to the scientific community and public bodies engaged in the project. We expect artEmis to advance our knowledge.
Building risk awareness, supporting mitigation strategies via communication to local, regional and national stakeholders is an integrated part of the artEmis project.
ArtEmis will develop a smart sensor system, monitoring radon, temperature, acidity and other observables in groundwater in real time. The ground-breaking sensor design will assure affordability, resilience and low power consumption optimizing life cycle management. The project aims to produce 100-200 sensors, that will be deployed in sensitive sites in collaboration with municipalities. Changes in radon concentration have the potential to serve as precursor for earthquakes and volcano eruptions. To advance our knowledge in this field we develop a cheap sensor system, that can be employed on a large scale in earthquake prone areas of Europe. The real time collected data is used to build machine learning (ML) models for the analysis. The collected and AI processed data will generate a real time map of hydrological and geochemical changes that is shared to the scientific community and public bodies engaged in the project. We expect artEmis to advance our knowledge.
Building risk awareness, supporting mitigation strategies via communication to local, regional and national stakeholders is an integrated part of the artEmis project.
The project has identified suitables sites and wells for the sensors to be placed in water. Six prototypes of the sensors have been constructed and placed in two wells in Italy at the Gran Sasso drainage tunnel, one spring in Italy, two wells at the Lefkada Island and at an experimental research station in the Bedretto tunnel. Connectivity via the mobile network and w-lan connections have been employed and successfully put into operations.
Data from the sensors have been extracted and tested for machine learning algorithms.
Partners of the consortium have met twice, during the organized kick off meeting and the General assembly in Brussles.
Regular meeting of the executive board, working groups, governing board and horizontal groups have been taken place.
Data from the sensors have been extracted and tested for machine learning algorithms.
Partners of the consortium have met twice, during the organized kick off meeting and the General assembly in Brussles.
Regular meeting of the executive board, working groups, governing board and horizontal groups have been taken place.
rtEmis has developed a new sensor device for measuring radon and other observables in water that is beyond state of the art, see details in the technical report of WP1.
The individual sensor are connected to a coupled system, where all gathered data will be stored in a data base for AI based analysis. At present, there does not exist a similar system at the global level. Once it is operational, is groundbreaking and beyond state of the art.
The system has the potential to set a world standard for measurements of radon concentration changes and other observables in ground water with
application to earthquake forecasting and environmental monitoring.
Further expansion and internationalization of the project is of highest interest.
The individual sensor are connected to a coupled system, where all gathered data will be stored in a data base for AI based analysis. At present, there does not exist a similar system at the global level. Once it is operational, is groundbreaking and beyond state of the art.
The system has the potential to set a world standard for measurements of radon concentration changes and other observables in ground water with
application to earthquake forecasting and environmental monitoring.
Further expansion and internationalization of the project is of highest interest.