INTELLIGENT multi-risk: Difference between revisions
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{{MHRA | |||
|Publication Year=2023 | |||
|Access=Open | |||
|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 | |||
|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. | |||
|Key Words=multi-risk; multi-risk scenarios; climate change | |||
}} | |||
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'''Year of publication''': 2023 | '''Year of publication''': 2023 | ||
Revision as of 16:58, 25 March 2025
Author(s):
Organisation(s)/Authors:
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:
Key Words:
multi-risk; multi-risk scenarios; climate change
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