Silvia De AngeliUniversità degli Studi di Genova | UNIGE · Dipartimento di Ingegneria civile, chimica e ambientale (DICCA)
Silvia De Angeli
PhD in Understanding and Managing Extremes
Investigating resilience of urban areas from compound and consecutive disasters
About
32
Publications
6,721
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127
Citations
Citations since 2017
Introduction
I am a fixed-term assistant professor at the Università di Genova (Department of Civil, Chemical and Environmental Engineering) investigating sustainable water management, water-related risk, and multi-hazards risk assessment.
Additional affiliations
September 2020 - present
November 2018 - August 2020
Position
- Engineer
Description
- Development and management of EC co-funded projects dealing with Risk Assessment from terroristic attacks (security), Risk Assessment for industrial and environmental processes (safety), Energy and Environment. Project proposal preparation.
October 2017 - October 2018
Education
September 2014 - January 2018
Field of study
- Understanding and Managing Extremes - Weather Related Risk
September 2011 - February 2014
Publications
Publications (32)
One of the greatest societal challenges is represented by Critical Infrastructures (CIs) protection. To minimize the impacts of man-made and natural threats, a series of risk assessment techniques have been developed. This work aims to critically compare state-of-the-art risk assessment methodologies for CIs protection, to find the pros and cons of...
This paper aims to provide a five-step conceptual framework to analyze the impacts to the built environment from multi-hazard interactions. Our methodology includes a critical literature review and stakeholder workshops. This framework's five steps are the following: (I) identify hazards and their interactions, (II) multi-hazard modelling, (III) an...
COVID-19 challenged all national emergency management systems worldwide overlapping with other natural hazards. We framed a ‘parallel phases’ Disaster Risk Management (DRM) model to overcome the limitations of the existing models when dealing with complex multi-hazard risk conditions. We supported the limitations analysing Italian Red Cross data on...
Natural hazard disasters recovery has been addressed in the literature by different sectoral perspectives and scientific communities. Nevertheless, studies providing holistic approaches to recovery, integrating reconstruction procedures and socio-economic impacts, are still lacking. Furthermore, recovery has been only marginally explored from a pre...
The Sendai Framework for Disaster Risk Reduction recognizes the importance of cultural heritage for society and emphasize the need to assess their vulnerability from multiple hazards. Developing adequate multi-hazard vulnerability assessment processes is fundamental to this end. Still, given the large number of cultural heritage assets that can be...
A resilient urban system should be able to recover from a disaster as quickly and effectively as possible. The optimal time to begin planning and implementing recovery investments to improve the urban system's recoverability is before the disaster. Considering that usually there are insufficient resources to invest in all urban facilities and infra...
The long-lasting Covid-19 pandemic emergency that the world has been experiencing for more than two years is dramatically challenging all national emergency management systems. For the first time in recent history, our society has been dealing with a global slow-onset disaster, whose emergency phase is lasting for such an extended period, with vary...
This work aims to improve existing Early Warning Systems (EWSs) assessment tools in appraising multi-hazard risk including natural hazards and infectious diseases epidemics or pandemics. The improved EWS assessment tool is applied in four Eastern Partnership countries through the development of a questionnaire, in the framework of the EU-funded PPR...
Bivalve shellfish aquaculture, advocated as a sustainable food source, has seen in the last years a significant production growth worldwide, with a consequent increase in the generation of calcareous shells as waste. From a circular economy perspective, shells represent a valuable biomaterial that can be reused for both environmental and economic b...
The knowledge of population distribution in hazard prone areas is a key element to perform a reliable risk assessment and to implement successful risk reduction strategies. It is often provided on an administrative/census basis, which subdivision units often intersect only partially the hazard prone areas, making necessary to downscale the distribu...
The assessment of the number of people exposed to natural hazards, especially in countries with strong urban growth, is difficult to be updated at the same rate as land use develops. This paper presents a remote sensing-based procedure for quickly updating the assessment of the population exposed to natural hazards. A relationship between satellite...
One of the greatest challenges in our society is represented by the protection of Critical Infrastructures (CIs) from man-made and natural disasters. To do so, single and multi-hazard risk assessment techniques have been developed. This work aims identifying and comparing current state-of-the-art methodologies on single and multi-hazard risk focusi...
The assessment of the number of people exposed to natural hazards, especially in countries with strong urban growth, is difficult to be updated at the same rate as land use develops. This paper presents a remote sensing based procedure for quick updating the assessment of the population exposed to natural hazards. A relationship between satellite n...
• Partecipazione della popolazione, dei volontari, delle scuole e dei tecnici comunali nel processo di pianificazione di emergenza per il rischio alluvione
• Miglioramento dell'efficacia del piano di emergenza e delle sue componenti
• Aumento della consapevolezza e della preparazione della comunità in relazione al rischio sul proprio territorio
•...
In recent years, the UN Agency and EU is putting an increasing effort in improving the understanding of risks related to natural hazards in Africa. This continent is facing an increasing number of natural hazards, which strongly affect its development, impairing the GDP and their investments. Furthermore, the number of people affected by natural ha...
The rapid scenario-based flood damage assessment is a crucial element for the management of the immediate post-event recovery phase. The urgency of the simulation outcomes usually does not allow to perform any exhaustive assessment of the reliability of the obtained results. The simulated assessment depends on three factors (flood scenarios, vulner...
The identification and classification of critical coastal areas is becoming more and more important from a coastal management point of view, especially considering future climate change. The standardized assessment of multiple hazards and their potential impacts is crucial, in terms of risk management, for those coastal areas where both marine and...
The PhD research presented in this manuscript explores some of the existing challenges in the assessment of the impacts of single and multiple natural hazards on complex territorial systems and propose some innovative solutions to address them.
As a result of a critical review of single and multi-hazard impact assessments with a specific focus on e...
The aim of this work is to develop a methodological framework to analyse the impact of multiple hazards on complex territorial systems, not only focusing on multi-hazard interactions but evaluating also the multi-risk, i.e. considering the impact of multiple hazards also in terms of exposure and vulnerability. Impacts generated by natural hazards i...
Despite an increasing need for open, transparent, and credible multi-hazard risk assessment methods, models, and tools, the availability of comprehensive risk information needed to inform disaster risk reduction is limited, and the level of interaction across hazards is not systematically analysed. Risk assessment methodologies for different hazard...
The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project
(2013-2017) aims to produce a set of innovative and EU-coherent open-source and
open- access methods, tools and management approaches (the RISC-KIT) in support of
coastal managers, decision-makers and policy makers to reduce risk and increase
resilience to low- freq...
Detection and characterization of territorial elements exposed to flood is a key component for flood risk analysis. Land-use description can be used in order to assess a primary response at areal scale, using remotely sensed data. This type of approach works well for small scales of representation but it becomes too coarse while increasing the scal...
During the autumn of 2011 two catastrophic, very intense rainfall events affected two different parts of the Liguria Region of Italy causing various flash floods. The first occurred in October and the second at the beginning of November. Both the events were characterized by very high rainfall intensities (> 100 mm h−1) that persisted on a small po...
An ideal, risk assessment should be holistic, thus, it should take into account all the components of the vulnerability (e.g. physical, social, economic, environmental). In order to perform such analysis, a large amount of time is needed, as well as reliable data. If a rapid risk assessment is performed (e.g. for emergency management purposes), a r...
RASOR (Rapid Analysis and Spatialization Of Risk) platform performs multi-hazard risk analysis for the full cycle of disaster management. A scenario-driven query system simulates future scenarios based on existing or assumed conditions and compares them with historical scenarios. RASOR integrates diverse data and products across hazards, update exp...
Climate changes can have an impact on various components of hydrological cycle. From a risk assessment point of view it is certainly interesting understanding how extreme streamflow values can change as a consequence of climate variability. In order to do this the outputs of a climate model (EC-EARTH) that accounts for a standard climate scenario w...
In the early months of 2015, destructive floods hit Malawi, causing deaths and economic losses. Flood risk assessment outcomes can be used to increase scientific-supported awareness of risk. The recent increase in availability of high resolution data such as TanDEM-X at 12m resolution makes possible the use of detailed physical based flood hazard m...
Detection and characterization of territorial elements exposed to flood is a key component for flood risk analysis. Land-use description works well for small scales of representation but it becomes too coarse while increasing the scale. “Single-element” characterization is usually achieved through surveys, which become prohibitive as the amount of...
The need for rapid scenario-based flood damage assessment is urgent. The simulated assessment depends on three factors (flood scenarios, vulnerability and exposure), which cannot be always estimated with the same level of reliability. While flood hazard scenario maps based on hydraulic modeling of inundation is now a common practice, computation of...
The assessment of infrastructure damages caused by technological disaster poses several challenges, from gathering needed information on the territorial system to the definition of functionality curves for infrastructures elements (such as, buildings, road school) that are exposed to both natural and technological event. Moreover, areas affected by...
In a disaster scenario we can move inside space-time dimensions, trying to predict or trace back the causes and the effects of extreme events. We use multispectral optical imagery with other geographical and unconventional data to create virtual representations and identify exposed elements. Subsequently, we apply specific algorithms to estimate va...
Questions
Question (1)
I am selecting an opensource hydrological model to perform a water sustainability assessment at a basin scale, including blue and green water sustainability evaluation and some considerations about water quality. I need an open source, well documented and user friendly open source software. After a first check, I identified two suitable options: SWAT+ and SWIM. I cannot really understand the differences among them. Any suggestion from someone who has already used these models? Thank you for your cooperation.
