Reports

L'Istituto Nazionale di Geofisica e Vulcanologia (INGV) è componente del Servizio Nazionale di Protezione Civile, ex articolo 6 della legge 24 febbraio 1992 n. 225 ed è Centro di Competenza per i fenomeni sismici, vulcanici e i maremoti per il Dipartimento della Protezione Civile Nazionale (DPC). L’Osservatorio Vesuviano, Sezione di Napoli dell’INGV, ha nei suoi compiti il monitoraggio e la sorveglianza H24/7 delle aree vulcaniche attive campane (Vesuvio, Campi Flegrei e Ischia). Tali attività sono disciplinate dall’Accordo-Quadro (AQ) sottoscritto tra il DPC e l’INGV per il periodo 2022-2025 e sono dettagliate nell’Allegato Tecnico del suddetto AQ. Il presente Rapporto sul Monitoraggio dei Vulcani Campani rappresenta l’attività svolta dall’Osservatorio Vesuviano e dalle altre Sezioni INGV impegnate nel monitoraggio dell’area vulcanica campana nel 2023.

Nel report viene illustrata la progettazione e lo sviluppo di una piattaforma software per assicurare la raccolta, la condivisione e l’integrazione dei dati provenienti dai Gruppi Operativi di emergenza impegnati nelle aree epicentrali con i dati provenienti dalle elaborazioni prodotte dai gruppi di ricerca e dai dataset delle banche dati INGV e di altri ENTI. E' stato ipotizzato una soluzione su ArcGIS online, per la condivisione e lo scambio dei dataset prodotti in emergenza integrati con la sismicità in tempo reale e le varie banche dati INGV e altri ENTI (webgis, dashboard, mappe interattive), con livelli diversi di condivisione basati sulla tipologia di utente sia interni all’INGV che esterni. La piattaforma che sarà consegnata all'Unità di Crisi è un’interfaccia WEB di ArcGIS online che contiene diverse WEB-APP e WEB-MAP, accessibile esclusivamente con «user» e «password», che verranno fornite ai membri dell’UC e a chi ha un ruolo attivo nelle attività in emergenza.

SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality. SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages – including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events. This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future. The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility. In this file, we introduce a prototype of an indicator for epistemic justice. The indicator is designed as a process indicator, i.e., it evaluates justice in policymaking processes (mechanisms and overall efforts) rather than their outcomes. It is structured as a checklist with two main categories: i) relative to the legislative phase of policymaking, and ii) relative to the dimension of epistemic justice. We distinguish between two legislative phases of policymaking, namely ex-ante (i.e., problem framing) and ex-post (i.e., appraisal of the policy’s initial design). We also distinguish three dimensions of epistemic justice, namely recognitional, participatory, and distributive. As a result of combining these categories, the indicator has six distinct sections. In each section, relevant questions are asked for assessment and scoring, which were developed based on our combined field experiences and literature reviews. The indicator has a total of 23 questions. Each question calls for a quantitative evaluation, using a scoring system on a scale from 1 to 10. The sum of points across questions in a specific section results in a section score. The global score is the sum of points across all sections. Depending on their specific aims, policymakers may prefer to aggregate the scores of specific sections (e.g., ex-ante sections). We assume that local knowledge is a key component in advancing more effective and just policymaking, especially in the field of climate adaptation (for more details, see our chapter in the SSH Climate book). Hence, our scoring system is designed to give more prominence to local stakeholders in the policymaking process. The standardised scoring system enables tractability and accountability.

D5.5 “Guidelines for validation of ENVRI-FAIR services” formulates the criteria and test plan for validating the overall quality of the ENVRI-FAIR services and summarises the guidelines for testing and validating the functionality of the services developed in WP8-WP11 in synergy with WP7. The criteria will allow the developers of the ENVRI data services to validate the results towards the EOSC catalogue of services.

Massive analysis of GNSS data (Global Navigation Satellite System) requires the development of specific tools to automate the different steps of processing: from data download to ground displacements estimates. In this technical report we describe the tools and algorithms we have developed to handle the metadata associated with GNSS observations from continuous networks operating in the EuroMediterranean and African area, which are routinely processed by the three main INGV data analysis centers. Obtaining accurate metadata, which records information on how a GNSS station is equipped (receiver, antenna, monument, etc..), is mandatory in order to obtain accurate GNSS stations daily position and their evolution through time. Here we will describe the processing chain, the software developed using opensource programming language, describing the major issues found in treating incomplete, inconsistent or wrong information, and the methods adopted to minimize or resolve these problems. The software developed is going to be implemented in the centralized GNSS data and metadata archive that we are realizing at INGV, and that will serve both institutional activities and research projects. The goal of this tool is to minimize errors and reduce/avoid the human intervention in handling a large set of information, facilitating the automatic analysis of data from thousands of GNSS stations on a daily basis. The software acronym is pyGLogDB, which stands for: “python GNSS Logfile elaboration with the support of DataBase”.