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MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase
- Source :
- Earth System Science Data, Vol 16, Pp 4843-4867 (2024)
- Publication Year :
- 2024
- Publisher :
- Copernicus Publications, 2024.
-
Abstract
- In this paper, the new dynamic geophysical and geochemical MUltiparametric DAtabase (MUDA) is presented. MUDA is a new infrastructure of the National Institute of Geophysics and Volcanology (INGV), published online in December 2023, with the aim of archiving and disseminating multiparametric data collected by multidisciplinary monitoring networks. MUDA is a MySQL relational database with a web interface developed in PHP, aimed at investigating possible correlations between seismic phenomena and variations in endogenous and environmental parameters in quasi real time. At present, MUDA collects data from different types of sensors such as hydrogeochemical probes for physical–chemical parameters in waters, meteorological stations, detectors of air radon concentration, diffusive flux of carbon dioxide (CO2) and seismometers belonging both to the National Seismic Network of INGV and to temporary networks installed in the framework of multidisciplinary research projects. MUDA publishes data daily, updated to the previous day, and offers the chance to view and download multiparametric time series selected for different time periods. The resultant dataset provides broad perspectives in the framework of future high-frequency and continuous multiparametric monitoring as a starting point to identify possible seismic precursors for short-term earthquake forecasting. MUDA can be accessed at https://doi.org/10.13127/muda (Massa et al., 2023).
- Subjects :
- Environmental sciences
GE1-350
Geology
QE1-996.5
Subjects
Details
- Language :
- English
- ISSN :
- 48432024, 18663508, and 18663516
- Volume :
- 16
- Database :
- Directory of Open Access Journals
- Journal :
- Earth System Science Data
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f3f4039a836a4af1bdc1fb8f9582f893
- Document Type :
- article
- Full Text :
- https://doi.org/10.5194/essd-16-4843-2024