A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis

Remi Harris,Elisa Furlan,Hung Vuong Pham,Silvia Torresan,Jaroslav Mysiak,Andrea Critto

Climate Risk Management（2022）

引用 6|浏览12

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摘要

•GIS-based Bayesian Network to evaluate multi-sectoral flooding damages.•Inclusion of residential, industrial, and agricultural sectors within one model.•Two-tiered approach applied for testing multiple network configurations.•Scenario analysis shows increased damages against flood depth and land use changes.•Flexible model to support Disaster Risk Management against extreme flooding events.

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关键词

Machine Learning,Flood risk assessment,Climate adaptation,Sensitivity analysis,Secchia river

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