The reconstruction of stress and paleostress trajectories of an active tectonic area is essential to study: i) its evolution and kinematics, and ii) seismic and volcanic hazard assessment. Here, we present the so-called Atmo-Stress service, available at https://atmo-stress.neanias.eu/, a brand-new software developed in the framework of the NEANIAS Project (https://www.neanias.eu/), EU H2020 RIA. This is an open-source cloud service, present on the GARR Kubernetes platform, that will allow to reconstruct stress trajectories in plain view, based on the already existing software Lissage, by Lee and Angelier (1994). The service considers a specific type of stress (e.g., σHmax, or σHmin) as input data, and will use these data to interpolate the stress trajectories over the whole area in plain view. Input data can be derived from different sources (e.g., field data, focal mechanism solutions, in-situ geotechnical measures), and they must be uploaded as .txt or .xls file format, that should provide the geographic coordinates, the stress azimuth and the angular error. Interpolation can be carried out using two different methods (Polynomial and Distance Weight), at the user’s choice, and can be conducted from a local to a regional scale. Results can be downloaded as grid or trajectory maps and are compatible with both GIS software and Google Earth. Given its usefulness in tectonic and volcanic active areas, the service is designed for both academics and non-academics purposes and can be used in different fields, like research activity, oil and gas industry and natural hazard prevention and management planned by national institutions, such as Civil Protection.

Corti, N., Gounari, O., Ntouskos, V., Bressan, S., Bonali, F., Karantzalos, K., et al. (2022). The Atmo-Stress service: a new web-designed software to reconstruct stress trajectories. In The 35th Nordic Geological Winter Meeting 2022 Programme and Abstracts (pp.172-172).

The Atmo-Stress service: a new web-designed software to reconstruct stress trajectories

Corti, Noemi
;
Bressan, Sofia;Bonali, Fabio Luca;Tibaldi, Alessandro
2022

Abstract

The reconstruction of stress and paleostress trajectories of an active tectonic area is essential to study: i) its evolution and kinematics, and ii) seismic and volcanic hazard assessment. Here, we present the so-called Atmo-Stress service, available at https://atmo-stress.neanias.eu/, a brand-new software developed in the framework of the NEANIAS Project (https://www.neanias.eu/), EU H2020 RIA. This is an open-source cloud service, present on the GARR Kubernetes platform, that will allow to reconstruct stress trajectories in plain view, based on the already existing software Lissage, by Lee and Angelier (1994). The service considers a specific type of stress (e.g., σHmax, or σHmin) as input data, and will use these data to interpolate the stress trajectories over the whole area in plain view. Input data can be derived from different sources (e.g., field data, focal mechanism solutions, in-situ geotechnical measures), and they must be uploaded as .txt or .xls file format, that should provide the geographic coordinates, the stress azimuth and the angular error. Interpolation can be carried out using two different methods (Polynomial and Distance Weight), at the user’s choice, and can be conducted from a local to a regional scale. Results can be downloaded as grid or trajectory maps and are compatible with both GIS software and Google Earth. Given its usefulness in tectonic and volcanic active areas, the service is designed for both academics and non-academics purposes and can be used in different fields, like research activity, oil and gas industry and natural hazard prevention and management planned by national institutions, such as Civil Protection.
abstract + poster
stress trajectories; Atmo-Stress; open-source
English
The 35th Nordic Geological Winter Meeting 2022 - 11-13 May 2022
2022
Sæmundsson, Þ; Hjartardóttir, AR; Gautason, B; Geirsson, H
The 35th Nordic Geological Winter Meeting 2022 Programme and Abstracts
9789935251787
2022
172
172
P43
https://jfi.is/wp-content/uploads/2022/05/NGWM-2022.pdf
none
Corti, N., Gounari, O., Ntouskos, V., Bressan, S., Bonali, F., Karantzalos, K., et al. (2022). The Atmo-Stress service: a new web-designed software to reconstruct stress trajectories. In The 35th Nordic Geological Winter Meeting 2022 Programme and Abstracts (pp.172-172).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/446039
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