INTELLIGENT multi-risk: Difference between revisions

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|Access=Open
|Access=Open
|Link=https://doi.org/10.5194/egusphere-egu23-8120
|Link=https://doi.org/10.5194/egusphere-egu23-8120
|Organisation(s)/Authors=Ca' Foscari University of Venice, Department of Environmental Sciences, Informatics and Statistics; Centro Euro-Mediterraneo sui Cambiamenti Climatici, Risk Assessment and Adaptation Strategies Division
|Author(s)=Dal Barco, M. K., Ferrario, D. M., Maraschini, M., Nguyen, N. D., Harris, R., Gottardo, S., Tosarin, E., Vascon, S., Torresan, S., and Critto, A
|Description=INTELLIGENT multi-risk (i.e., InNovaTive machinE Learning methodoLogy to assess multi-rIsk dynamics under climate chanGe futurE coNdiTions) aims at evaluating the impacts of multi-risk events at the regional (sub-national) scale, and predicting risk scenarios based on future climate change projections. Taking as input hazard, exposure and vulnerability features from both historical observations and future projections, the INTELLIGENT multi-risk allows to: analyse the multi-hazard footprint at different spatio-temporal scales; identify the most influencing factors triggering multiple risks; estimate the effect of climate change on risks scenarios.
|Organisation(s)=Ca' Foscari University of Venice; Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC)
|Description=The INTELLIGENT (InNovaTive machinE Learning methodoLogy to assess multi-rIsk dynamics under climate chanGe futurE coNdiTions) multi-risk framework focuses on evaluating the impacts of multi-risk events at the regional (sub-national) scale and predicting risk scenarios based on future climate change projections.
 
By incorporating hazard, exposure, and vulnerability data from both historical observations and future projections, it enables: the analysis of the multi-hazard footprint across various spatio-temporal scales; the identification of key factors driving multiple risks; and the estimation of climate change's impact on risk scenarios.
|Key Words=multi-risk; multi-risk scenarios; climate change
|Key Words=multi-risk; multi-risk scenarios; climate change
}}
}}
<div style="text-align:justify">
'''Year of publication''': 2023
'''Access''': Open access publication
'''Link''': https://doi.org/10.5194/egusphere-egu23-8120
'''Organisation(s) / Author(s)''': Ca' Foscari University of Venice, Department of Environmental Sciences, Informatics and Statistics; Centro Euro-Mediterraneo sui Cambiamenti Climatici, Risk Assessment and Adaptation Strategies Division
'''Description'''
INTELLIGENT multi-risk (i.e., InNovaTive machinE Learning methodoLogy to assess multi-rIsk dynamics under climate chanGe futurE coNdiTions) aims at evaluating the impacts of multi-risk events at the regional (sub-national) scale, and predicting risk scenarios based on future climate change projections.
Taking as input hazard, exposure and vulnerability features from both historical observations and future projections, the INTELLIGENT multi-risk allows to: analyse the multi-hazard footprint at different spatio-temporal scales; identify the most influencing factors triggering multiple risks; estimate the effect of climate change on risks scenarios.
'''Technical considerations'''
Not applicable
'''Keywords'''
multi-risk; multi-risk scenarios; climate change
</div>
[[Category:Multi-hazard Risk Assessment]]

Latest revision as of 13:10, 9 April 2025

Publication Year: 2023

Access: Open

Link: https://doi.org/10.5194/egusphere-egu23-8120

Author(s): Dal Barco, M. K., Ferrario, D. M., Maraschini, M., Nguyen, N. D., Harris, R., Gottardo, S., Tosarin, E., Vascon, S., Torresan, S., and Critto, A

Organisation(s)/Authors: Ca' Foscari University of Venice; Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC)

Description:

The INTELLIGENT (InNovaTive machinE Learning methodoLogy to assess multi-rIsk dynamics under climate chanGe futurE coNdiTions) multi-risk framework focuses on evaluating the impacts of multi-risk events at the regional (sub-national) scale and predicting risk scenarios based on future climate change projections. By incorporating hazard, exposure, and vulnerability data from both historical observations and future projections, it enables: the analysis of the multi-hazard footprint across various spatio-temporal scales; the identification of key factors driving multiple risks; and the estimation of climate change's impact on risk scenarios.

Technical Considerations:

Key Words:

multi-risk; multi-risk scenarios; climate change

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