WATER_VS1__DV_1.2.1_Development of a focused observation and validation strategy for floods in poorly observed systems.

WATER_VS1__DV_1_2_2 – Development of an integration strategy of existing monitoring systems aiming at high-resolution, quasi-dynamic precipitation mapping and nowcasting at flash/pluvial flood scales.

WATER_VS1__DV_1.2.3_Identification, collection and preprocessing of available data sources and analysis of hazards, exposure, vulnerability and damage under the effects of the global climate change.

WATER_VS1_DV-1.2.4_Enhanced models of the flood response for small, ungauged basins, under climate change forcing.

WATER_VS1_DV-1.2.5_Improved models of water-induced debris-flow to be used both in real-time and for prediction purposes.

WATER_VS1_DV-1.2.6._Comprehensive modelling of complex river systems and floodable areas, including sediment transport, vegetation dynamics, levee breaches, river training work, hydraulic infrastructures.

WATER_VS1_DV-1.2.7._Identification of direct impact metrics and models for all exposed assets indicated in the EU Flood Directive.

WATER_VS1_DV_1.2.8_Improved models for indirect flood impacts, cascade effects and interconnections among critical infrastructures, such as energy or transport networks.

WATER_VS1_DV_1.3.1_Integrated monitoring strategies (ground and remote) to deliver a comprehensive overview of the status of hydrological and agricultural drought in real time.

WATER_VS1_DV_1.3.2_Use of climatic scenarios for (sub)seasonal forecast of meteorological forcing for drought management 

WATER_VS1_-DV-1_3_3_Development of surface water models and groundwater models to generate deterministic/probabilistic scenarios based on climatic projections and seasonal meteorological predictions.

WATER_VS1_-DV-1_3_4.docx_Hazard modelling of droughts by using historical data, seasonal forecasts and future climate scenarios.

WATER_VS1_-DV-1_3_5_Models of the direct impacts on food and energy sectors, human health, ecosystems.

WATER_VS1_DV_1_3_6_Cross-sectorial evaluations of drought impacts and strategies for mitigating water use conflicts and improving governance policies.

WATER_VS1__DV_1_4_1_Identification, and preprocessing of data from public private databases of offshore and coastal assets.

WATER_VS1__DV_1_4_2_Integrate hydro-morphological stressors from nationwide monitoring systems and integration with remote and inland sensors for both real-time warning and resilience measures design.

WATER_VS1_DV-1_4_3_Implementation of a multi-scale modelling suite, for a proper account of the forcing evolution from the open sea to the coast, for both short-and long-term predictions (event forecast, hazard evaluation).

WATER_VS1_DV-1_4_4_Seamless modelling of water and sediment dynamics from nearshore circulation to inland flows and flows in transitional systems, with specific focus on swash zone dynamics and related interactions.

WATER_VS1_DV-1_4_5_Model-guided assessment of impacts on offshore, coastal, estuarine assets.

WATER_VS1_DV-1_4_6_Adaptive modelling of scenarios through increasing inclusion of protection and mitigation.

RETURN-WATER-WP-1.5-DV-1.5.1_Definition of a high-level reference architecture able to conceptually integrate models and input/output data, adopting standard data models.

RETURN-WATER-WP-1.5-DV-1.5.3 – Design and prototyping of components for the visualization and exploration of hazards’ forecasts, risks and their impacts, by taking into account data.

RETURN-WATER-WP-1.5-DV-1.5.2 – Design and prototyping of data collection, pre-processing and integration tools to support the execution of the models and to manage the output.

RETURN-WATER-WP-1.5-DV-1.5.5_Analyses of field cases with focus on i) win-win adaptation/mitigation strategies; ii) impact assessment and optimization through CBA / MCA methodologies.

DV2.2.1_VS2_RETURN_Collection of inventoried events in a comprehensive integrated dataset.

DV2.2.2__VS2_RETURN – Detection and classification of potentially threatening ground instabilities.

DV2.2.3__VS2_RETURN – Rationale for the quantification of parameters measuring the proneness to ground instabilities in offshore and onshore areas.

DV2.2.5_VS2_RETURN_Rationale for selecting and scale-dependent weighing of predisposing factors.

DV2.2.6_VS3_RETURN_Procedures to map the areal distribution of values of predisposing parameters.

DV2.3.1._VS3_RETURN_Data collection and analysis; implementation of geodatabases in advanced computing cloud systems.

DV2.3.3._DS2_RETURN_Field-to-Num_Lab: experiencing innovative solutions for a real-time digital twin between in-site monitoring and numerical computation systems.

DV_2.3.4_VS2_RETURN_Deep Learning (DL) and Machine Learning (ML) for mass wasting characterization in subaerial and submarines areas.

DV2.4.2_VS2_RETURN_Near shore and coastal areas, volcanic islands: thematic maps
inducing hazard severity indicators and zoning for coupled/combined triggers.

DV2.4.3_VS2_RETURN_Hilly and mountain areas: rationale for trigger-based multiple geohazards severity mapping and zoning.

DV2.4.4_VS2_RETURN_Hilly and Mountain areas: thematic maps of hazard severity for coupled/combined triggers.

DV2.4.5__VS2_RETURN – Large Plains: Rationale for trigger-based multiple geohazard severity mapping and zoning.

DV2.4.6__VS2_RETURN – Large plains: thematic maps of hazard severity indicators and zoning for coupled/combined trigger.

DV2.4.8_VS2_RETURN_Scripting for uncertainty evaluation.

DV2.4.9_VS2_RETURN_From deterministic to stochastic prediction in a weighted uncertainty range.

WP2_D4.2.1_RETURN_DELIVERABLE_30.11.2023 – Report on sources and scale of source of environmental degradation.

WP2_D4.2.2_Design of dataset.

WP2_D4.2.3_Report on habitat vulnerabilities.

WP3_D4.3.1_Improved methodologies for contaminant monitoring.

WP3_D4.3.2_Multiscale modeling framework for contaminants transport and reaction with uncertainty quantification.

WP3_D4.3.3 – Improved methodologies for contaminant monitoring in marine coastal area.

WP3_D4.3.4_Multiscale modeling framework for contaminants transport and reaction with uncertainty quantification in marine coastal systems.

WP3_D4.3.5 – Space-time evolution of the acidification, deoxygenation and eutrophication in specific areas of the Mediterranean Sea.

WP3_D4.3.6_High resolution modeling tools for coastal regions and open ocean areas.

WP3_D4.3.7_Novel wildfire models and wildfire mitigation risk DSS.

WP3_D4.3.8_Novel protocols for observation and ensuing modeling of space distribution.

WP3_D4.3.9_Report on antimicrobial resistance.

WP4_D4.4.1_Report on field experiments in coastal, transitional and shallow hydrothermal vents area.

WP4_D4.4.2_Methodology for ecological risk assessment of combined exposure to multiple chemicals.

WP4_D4.4.3 – Radar constrained integrated simulation for oil spill and contaminant dispersion.

WP4_D4.4.4 – Theoretical Framework and Operational Workflow Validated vs Synthetic Scenarios and Observations.

WP4_D4.4.5 – REPORT, METANALYSIS AND DATA BASE ON EFFECTS OF CONTAMINANTS AND MIXTURES.

WP4_D4.4.6 – Proofs of Concept (PoC).

WP5_DV-4.5.1_Procedure for nanoparticles tracking.

WP5_DV-4.5.2_Fate and removal of microplastics in wastewater treatment plants.

WP5_DV-4.5.3 – Assessment of remediation methodologies performance.

WP5_DV-4.5.5_Assessment of remediation methodologies performances FOR CONTAMINATED MARINE SEDIMENTS.

WP5_DV-4.5.6._Assessment of remediation methodologies performances.

WP5_DV-4.5.7_Report, data base on industrial accident.

DV-4.4_Concept guidelines, design proposals and assessment protocols to monitor urban integrated resilience in compliance with NEB – New European Bauhaus principles.

DV-5.2.1_Risk oriented taxonomy and ontology of urban subsystems and functional models.

DV5.2.2_Multi criteria metrics and methodology for integrated exposure assessment DEF.

DV5.2.3_Review of relevant data sources and methods for urban multi-risk data fusion and integration.

DV5.2.4_Template and smart data models for data interoperability and pre and post event phase collection.

DV_5.2.5_ Repository of national and international good practices, projects and policies.

DV5.3.1_Report and scenarios for multi-risk cascading and compounding effects and emerging risks.

DV-5.3.2_Harmonized modelling approach for multi-hazard physical and functional vulnerability.

DV5.3.3_Systemic vulnerability modelling including physical socio economic health safety and environmental aspects.

DV5.3.4_Integrated multi risk urban impact assessment and forecasting at variable scale.

DV-5.4.1_Multisectoral comprehensive planning and design along the Disaster Risk Management cycle.

DV-5.4.5_Evaluation Framework for monitoring circularity, sustainability and resilience of urban metabolism.

DV-5.5.2_City-scale exercise preparation and setup report.

DV-6.2.2_Classification of the Infrastructures Critical Components with respect to Age and Vulnerability to Man Made Hazards

DV-6.2.3_Analysis of different infrastructures and their interdependencies from a systemic and functional point of view

DV-6.3.1_Natural Hazards classification maps of individual network of linear infrastructures.

DV-6.3.2_Natural Hazards classification maps of point-like infrastructures of national relevance.

DV-6.3.3_Reports on climate-related service interruption threats over critical infrastructures.

DV-7.2.1 – Report on the-state-of-the-art of MCA applied to natural risk management.

DV-7.2.2 – Tools to evaluate risk-reduction potential of structural and non-structural measures in multi-hazard environments.

DV-7.2.3 – Tools for inclusive/participative decision making.

DV-7.3.1 – Valuing CH exposure to MR, special focus on art cities, intangible social, aesthetic, and spiritual values.

DV-7.3.3 – Methods and Guidelines for MR-CH Monitoring

DV-7.3.5 – Methods and guidelines for multi-scale MR assessment of CH

DV-7.3.7 – Hazard-Risk-Resilience Nexus in a cultural heritage-centered and socio-economic context

DV-7.3.8 – Natural hazards and climate change: Cultural heritage as a pillar of resilience.

DV-7.4.1-2-3 – DRRCCA_Advancing Community Based Approaches_Community-Trust_Effectiveness Evaluation.

DV-7.4.6-7.4.7 – Citizen participation in Civil Protection Planning (CPP): a self-assessment tool.

DV-7.4.8 – Guidelines for a New Approach to Integrated Planning Strategies Based on Co-Design.

DV-7.5.1 – Report on variables, processes and biases

DV-7_5_2 – Risk_Elicitation Methods.

DV-7.5.3 – Critical overview of models of trust in DRR and CCA: Community and policy maker awareness.

DV-7.5.4 – Designing Context-Sensitive Nudges for Natural Hazard Risk Mitigation: A Participatory Design Thinking Framework.

DV-7.6.1 – Identifying Best Practices in Risk Communication: A State-of-the-Art-Review of International Literature

DV-7.6.2A – Identifying Best Practices in Risk Communication: Guidelines benchmarking.

DV-7.6.2B – Communication plans for multi-hazard risks: An analysis of Civil Protection plans.

DV-7.6.3 – Guidelines for a New Approach to Integrated Planning Strategies Based on Co-Design.

DV-7.6.4 – Research report on communication tools_WP6.

DV-7.6.5 – Guidelines for Effective and Inclusive Risk Communication.

DV-7.6.6 – Innovative Methodologies Based on Immersive Digital Environments for Vicarial Experiences in Protected Environments in Natural Risk education: A Scoping Review of International Literature

DV-7.6.9 – Executive Planning for the Development of a Videogame for Disaster Risk Reduction Education and Designing of its Educational Experimentation. 

RETURN_DELIVERABLE_DV8.2.1_Inventory and assessment of impact-oriented hazard indicators.

RETURN_DELIVERABLE_DV8.2.2_Paleo and historical climate datasets for Italian regions.

RETURN_DELIVERABLE_DV8.3.1 – An integrated framework for data assimilation to generate multi-scale weather and climate predictions

RETURN_DELIVERABLE_DV8.4.1 – Proof of concept for the description of cloud dynamics in convection permitting models

RETURN_DELIVERABLE_DV8.4.2_Report on the performances of convection permitting models in weather generation.

RETURN_DELIVERABLE_DV8.5.1 – Identification the contexts and methods for uncertainty assessment for hazard indicators

RETURN_DELIVERABLE_DV 8.6.1_Report about enablers identification and selection