Data-RAS A National Digital Soil Radioactivity Map
- 1CREA Research Centre for Forestry and Wood, Casale Monferrato, Italy
- 2CREA Research Centre for Agriculture and Environment, Italy
- 3ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development Dept. of Energy Efficiency (DUEE), Casaccia Research Centre, Rome, Italy
- 4CREA Research Centre for Agriculture and Environment, Rome, Italy
The Council Agricultural Research and Economics, Research Centre for Agriculture and Environments of Florence, (CREA-AA), National Soil Archive (ARCAN) is an important resource for current and future soil research. ARCAN holds 32,612 archived specimens, collected from 13,156 sites across Italy. The ARCAN is also very relevant from a historical and agroecological point of view, collecting soil samples from surface and subsurface horizons, in some cases taken before Chernobyl and almost all after Chernobyl (1986-2021). In particular, 7,000 agricultural samples are representative of all regions of Italy, collected in the same year (1994), with the same standard sampling and analysis protocol. In this work we show up a new database management system (DATA-RAS) to achieve Vis-Nir spectroscopy data and environment radioactivity data on ARCAN soil samples. Combined use of Vis-Nir and gamma ray spectroscopy to predict soil properties offers a task to populate the database. After that it is possible to obtain a digital soil map of artificial or natural radioactivity of Italian soils. The main purpose of this work is show up an Entity Relationship model of DATA-RAS, that represents other than a database a Smart Data Exchange a system to better managing ARCAN and rapidly exchanging information with other national and European partners. The ultimate goal is to use the most advanced information and communication technologies to create an innovative platform that digitally manages open data with 3D methods and augmented and virtual reality techniques (AR and VR). The DATA-RAS platform will be integrated with scientific information systems and a natural language interface for knowledge communication.
How to cite: Barbetti, R., Corti, G., Fontana, F., and Fontana, C.: Data-RAS A National Digital Soil Radioactivity Map, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15094, https://doi.org/10.5194/egusphere-egu23-15094, 2023.