INTELLIGENT multi-risk: Difference between revisions

From Disaster Risk Gateway
← Older edit
No edit summary
No edit summary
 
(5 intermediate revisions by the same user not shown)
Line 1: Line 1:
<div style="text-align:justify">
{{MHRA
'''Year of publication''': 2023
|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)=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.


'''Access''': Open access publication
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
'''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
 
 
Back to '''[[Multi-hazard Risk Assessment|Multi-hazard Risk Assessment]]'''
</div>

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

Retrieved from "https://myriad-staging.bgs.ac.uk/index.php?title=INTELLIGENT_multi-risk&oldid=2880"