Daniela Molinari
Biographic Data
| ID | 6451996 |
|---|---|
| NAME | Daniela Molinari |
| GIVEN NAMES | Daniela |
| FAMILY NAME | Molinari |
| SIGNATURE | MOLINARI D |
| AFFILIATIONS | Politecnico di Milano |
| ORCID | 0000-0003-2473-1257 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A new multidimensional framework for risk assessment in multi-hazard context
Geographic areas are rarely exposed to a single natural hazard; more often, two or more hazards coexist within the same territory. Consequently, a comprehensive analysis, quantification, and comparison of all potential risks affecting a given area are fundamental to fostering sustainable and climate-resilient environments. To this end, this paper introduces a new indicator-based framework for evaluating risk in multi-hazard contexts, referred to …
Virtual testbed for multi-risk assessment
Urban areas may be considered as hotspots for disaster risk. The intrinsic complexity and interdependency of urban systems in a multi-risk framework call for integrated, system-based approaches to understand and model multi-risk processes and to support effective Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) strategies. In this context, Virtual Testbeds (VTBs) have emerged as effective instruments for the development, benchma…
Flood risk assessment and participative process in the data-scarce Metuge district of Mozambique
Low-income countries are the most vulnerable to floods; moreover, the occurrence and intensity of these disastrous events are progressively increasing worldwide. Quantitative flood risk assessment is the first and primary step that can be made to support local decision makers towards effective flood risk management. However, the lack of data that typically characterizes the Global South hinders the implementation of methods developed for data-ric…
A probabilistic modeling and simulation framework for power grid flood risk assessment
Floods can cause power outages with widespread impacts on socio-economic activities dependent on electricity for their functioning. Effective flood risk management requires comprehensive damage assessment, yet methodologies to estimate the entire range of expected damages are lacking. This paper presents a new modeling and simulation probabilistic framework for the assessment of damages to power grids exposed to floods. The framework combines mod…
Unveiling the assessment process behind an integrated flood risk management plan
An empirical flood fatality model for Italy using random forest algorithm
Due to the increasing occurrence of natural hazards, such as floods, a significant number of lives are lost each year worldwide. The risk of experiencing catastrophic losses from flooding is exacerbated due to the changing climate and increasing anthropogenic activities. Consequently, predicting the conditions leading to fatalities is crucial in the assessment of flood risk. However, the existing modeling capabilities in this field are limited, e…
Enhancing flood risk maps by a participatory and collaborative design process
Computational simulation of air flows through a Sri Lankan wind-driven furnace
Computational simulation of air flows through a Sri Lankan wind-driven furnace
Enhancing flood risk maps by a participatory and collaborative design process
An empirical flood fatality model for Italy using random forest algorithm
Due to the increasing occurrence of natural hazards, such as floods, a significant number of lives are lost each year worldwide. The risk of experiencing catastrophic losses from flooding is exacerbated due to the changing climate and increasing anthropogenic activities. Consequently, predicting the conditions leading to fatalities is crucial in the assessment of flood risk. However, the existing modeling capabilities in this field are limited, e…
Unveiling the assessment process behind an integrated flood risk management plan
Flood risk assessment and participative process in the data-scarce Metuge district of Mozambique
Low-income countries are the most vulnerable to floods; moreover, the occurrence and intensity of these disastrous events are progressively increasing worldwide. Quantitative flood risk assessment is the first and primary step that can be made to support local decision makers towards effective flood risk management. However, the lack of data that typically characterizes the Global South hinders the implementation of methods developed for data-ric…
A probabilistic modeling and simulation framework for power grid flood risk assessment
Floods can cause power outages with widespread impacts on socio-economic activities dependent on electricity for their functioning. Effective flood risk management requires comprehensive damage assessment, yet methodologies to estimate the entire range of expected damages are lacking. This paper presents a new modeling and simulation probabilistic framework for the assessment of damages to power grids exposed to floods. The framework combines mod…
A new multidimensional framework for risk assessment in multi-hazard context
Geographic areas are rarely exposed to a single natural hazard; more often, two or more hazards coexist within the same territory. Consequently, a comprehensive analysis, quantification, and comparison of all potential risks affecting a given area are fundamental to fostering sustainable and climate-resilient environments. To this end, this paper introduces a new indicator-based framework for evaluating risk in multi-hazard contexts, referred to …
Virtual testbed for multi-risk assessment
Urban areas may be considered as hotspots for disaster risk. The intrinsic complexity and interdependency of urban systems in a multi-risk framework call for integrated, system-based approaches to understand and model multi-risk processes and to support effective Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) strategies. In this context, Virtual Testbeds (VTBs) have emerged as effective instruments for the development, benchma…
Environmental Science (6 works) · Geography (6 works) · Business (5 works) · Computer Science (5 works) · Flood myth (5 works) · Flood Risk Assessment and Management (5 works) · Environmental resource management (4 works) · Computer security (3 works) · Disaster Management and Resilience (3 works) · Environmental planning (3 works)