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  • Articles  (6)
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  • Open Access-Papers  (6)
  • Elsevier  (6)
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  • Articles  (6)
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  • 1
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    Deep CO2 emitted at Furnas do Enxofre geothermal area (Terceira Island, Azores archipelago). An approach for determining CO2 sources and total emissions using carbon isotopic data (2020)
    Elsevier
    Details
    Publication Date: 2020-06-30
    Description: Quantification of the CO2 released by the volcanoes to the atmosphere is relevant for the evaluation of the balance between deep-derived, biogenic and anthropogenic contributions. The current study estimates the CO2 released from Furnas do Enxofre degassing area (Terceira Island, Azores archipelago) by applying an approach that integrates the flux of CO2 fromthe soilwith the δ13C-CO2 values. A deep-derived CO2 output of 2.54 t d−1 is estimated for an area of ~23,715 m2. High biogenic-derived CO2 flux values (~45 g m−2 d−1) associated with light carbon isotopic content (δ13C=−28‰±1.1‰) are detected and explained by the type of vegetation that characterizes the study site. Carbon isotopic compositions of the CO2 (−6.4‰±1.2‰) measured in olivine-hosted fluid inclusions of the Terceira basalts are presented for the first time and contribute to defining the mantle-CO2 signature. Differences between these values and heavier carbon isotope values from gas in fumaroles at Furnas do Enxofre (−4.66‰to−4.27‰) are explained by the carbon isotopic fractionation occurring when CO2 reacts to form calcite in the geothermal reservoir at temperatures N180 °C. A clear correlation between the soil temperature and deep CO2 fluxes is observed and the integration of the diffuse degassing information with the composition of the fumarolic emissions allows estimating a thermal energy flux of 1.1 MW.
    Description: Published
    Description: 106968
    Description: 2V. Struttura e sistema di alimentazione dei vulcani
    Description: 4V. Processi pre-eruttivi
    Description: JCR Journal
    Keywords: Soil diffuse degassing ; CO2 fluxes ; Carbon isotopic composition ; Hydrothermal systems ; 04.08. Volcanology ; 04.01. Earth Interior
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Impact of climate warming on snow processes in Ny-Ålesund, a polar maritime site at Svalbard (2016)
    Elsevier
    In:  EPIC3Global and Planetary Change, Elsevier, 146, pp. 10-21, ISSN: 09218181
    Details
    Publication Date: 2021-08-20
    Description: The impact of observed changes in air temperature and precipitation from 1969 to 2013 and climate projections for 2050 and 2080 at Ny-Ålesund, an arctic research station on Spitzbergen Island in the Svalbard Archipelago on snow hydrological processes, were analyzed using snow accumulation and ablation algorithms in the physically based Cold Regions HydrologicalModelling platform(CRHM). The climate projectionswere obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5), with a focus on the snow-dominated period (October to June). To identify the potential effects of increasing temperature and precipitation, a model sensitivity analysis (1 °C to 5 °C), with and without a 25% increase in precipitation, was run on CRHM snow processes. The results indicated that the greatest observed warming was during the early snow season (October–February), with increases of 0.8 and 0.9 °C decade−1 for maximum (Tmax) and minimum (Tmin) temperatures, respectively. Therewas also a significant increase in annual and winter precipitation (24mmdecade−1). The late snowseason (March–June) also had a marked increase in temperature (0.5 and 0.69 °C decade−1 for Tmax and Tmin respectively), but no significant change in precipitation. These changes lead to a significant increase in the number of dayswith rainfall rather than snowfall. The sensitivity analysis indicated that mean snowwater equivalent snowpack will decrease by 10.2% (early snow season) and 11.1% (late snow season) per degree of increased air temperature. For each degree of temperature increase, the modelled peak snow-water-equivalent (SWE) declined by 6.9%, duration of snowpack declined 11 days, and the number of days with rain increased 43% for the early snow season and 12.8% for the late snowseason. Awarmer climate also leads to markedly decreased surface snowsublimation and the fraction of snowfall eroded and transported by blowing snow. For most snowpack parameters analyzed, the response to warming accelerates with increased warming, especially above 3 °C. A 25% increase in precipitation partially counteracted the response to warming, with the greatest effect on peak SWE.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
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    PICOSS: Python Interface for the Classification of Seismic Signals (2021)
    Elsevier
    Details
    Publication Date: 2023-10-26
    Description: Over the last decade machine learning has become increasingly popular for the analysis and characterization of volcano-seismic data. One of the requirements for the application of machine learning methods to the problem of classifying seismic time series is the availability of a training dataset; that is a suite of reference signals, with known classification used for initial validation of the machine outcome. Here, we present PICOSS (Python Interface for the Classification of Seismic Signals), a modular data-curator platform for volcano-seismic data analysis, including detection, segmentation and classification. PICOSS has exportability and standardization at its core; users can select automatic or manual workflows to select and label seismic data from a comprehensive suite of tools, including deep neural networks. The modular implementation of PICOSS includes a portable and intuitive graphical user interface to facilitate essential data labelling tasks for large-scale volcano seismic studies.
    Description: Published
    Description: 104531
    Description: 8T. Sismologia in tempo reale
    Description: JCR Journal
    Keywords: Volcanoes ; Software ; Classification ; Segmentation ; Detection ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 4
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    Hydrochemical and isotopic characterization of the Region Carbonífera aquifer: An example of hydrogeological systems in the semi-arid climates of northeastern Mexico (2023)
    Elsevier
    Details
    Publication Date: 2023-02-23
    Description: Hydrogeological resources in the semiarid regions of Mexico support the economy and essential domestic activities of around 17 million people. However, adverse climatic conditions and overexploitation of aquifers affect the quantity and quality of the resource, added to problems of anthropogenic pollution and the salinity of water bodies. The Region Carbonífera aquifer represents the primary hydrogeological system in the most important coal-mining region in Mexico, located in the state of Coahuila. In this work, we present a complete dataset of 157 samples from surface and groundwaters sites have been used to characterizethe physicochemical and isotopic processes responsible for the composition of circulating waters, clarifying their origin, and to evaluate the water quality in terms of human consumption and irrigation use. The aquifer is mostly represented by Ca2+-Mg2+-SO42- and Ca2+-Mg2+-Cl- type waters, that supports salinization problems in 76% of the samples as well as sulfate excess. The origin of this chemical behavior seems to be the result of three main processes: 1) dissolution of soluble salts (gypsum, anhydrite and halite), 2) high surface evaporation under semiarid climate conditions, and 3) ionic and reverse ionic exchange. Processes 1 and 2 are also supported by the enrichment trends in the δ18O and δD signatures. For human consumption, 21% of the samples show high concentrations above the maximum permissible limits of the Official Mexican Standard (NOM-127-SSA1-1994) in total dissolved solids, Cl−, Na+, and SO42−. Additionally, 80% of the waters have some irrigation limitations due to excess sodicity or salinity. The worst quality waters for human or irrigation uses are located south of the aquifer in the municipalities of Juárez and Progreso. This study exhibits the complex hydric situation of the aquifer, raising awareness of the need to seek alternative sources, rational exploitation of resources, the use of crops that better adapt to these semiarid conditions, and intensifying hydrochemical monitoring in the region.
    Description: Published
    Description: 105307
    Description: 6A. Geochimica per l'ambiente e geologia medica
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
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    The EnMAP imaging spectroscopy mission towards operations (2023)
    Elsevier
    In:  EPIC3Remote Sensing of Environment, Elsevier, 294, pp. 113632-113632, ISSN: 0034-4257
    Details
    Publication Date: 2024-04-10
    Description: EnMAP (Environmental Mapping and Analysis Program) is a high-resolution imaging spectroscopy remote sensing mission that was successfully launched on April 1st, 2022. Equipped with a prism-based dualspectrometer, EnMAP performs observations in the spectral range between 418.2 nm and 2445.5 nm with 224 bands and a high radiometric and spectral accuracy and stability. EnMAP products, with a ground instantaneous field-of-view of 30 m×30 m at a swath width of 30 km, allow for the qualitative and quantitative analysis of surface variables from frequently and consistently acquired observations on a global scale. This article presents the EnMAP mission and details the activities and results of the Launch and Early Orbit and Commissioning Phases until November 1st, 2022. The mission capabilities and expected performances for the operational Routine Phase are provided for existing and future EnMAP users.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 6
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    Search for anomalies in Stromboli's pre-paroxysm activity through an automatic hybrid method of time series analysis (2024)
    Elsevier
    Details
    Publication Date: 2024-06-21
    Description: Stromboli (Italy) is an open-vent volcano with persistent explosive activity producing up to five hundred mild explosions per day. Fluctuations in explosion intensity, varying even by orders of magnitude in terms of emitted volume and their subsequent impact on the surrounding regions, sometimes occur abruptly. Consequently, identifying precursors of larger eruptive activities, particularly for more intense (paroxysmal) explosions, is challenging. In order to search for anomalies in the pre-paroxysm activity related to the summer 2019 eruption, we applied a hybrid method to the automatic analysis of geophysical and geochemical time series. This approach is based on the combination of two methods: 1. the Empirical Mode Decomposition (EMD) and 2. the Support Vector Regression (SVR). The aggregation of these two methods allowed us to identify anomalies in the patterns of the geophysical and geochemical parameters measured on Stromboli in a ten-month period including the July–August 2019 eruption. The results of this study are encouraging for an improvement of the monitoring systems and for volcano early warning applications.
    Description: This work has been supported by the INGV project Pianeta Dinamico 2023-2025 - ObseRvation, Measurement and modelling of Eruptive processes (ORME), and partially supported by the Progetto Strategico Dipartimentale INGV 2019 “Forecasting eruptive activity at Stromboli volcano: timing, eruptive style, size, intensity and duration” (FIRST, Delibera n. 144/2020; Scientific Responsibility: S.C.). Furthermore, this research has benefited from the support of Convenzione B2 DPC-INGV 2022-2024, Stromboli, Task 1.3 “Development of a unique activity index and estimation of the probability of the transition between ‘ordinary’ and ‘extraordinary’ eruptive activity”, and of the INGV project “Reti Multiparametriche”, Task A2 “Development of methods for the identification of precursors of Stromboli's paroxysms and major explosions based on multiparametric data analysis and study of possible early warning techniques”.
    Description: In press
    Description: 108131
    Description: OSV1: Verso la previsione dei fenomeni vulcanici pericolosi
    Description: JCR Journal
    Keywords: Stromboli volcano ; Volcanic monitoring ; Data analysis ; Multiparametric geophysics ; Paroxysmal explosions ; 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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