Research on the Risk Assessment and Emergency Response Strategies of Floods and Droughts Based on Artificial Intelligence
With the intensification of climate changes and environmental challenges,floods and droughts have in-creasingly become global problems,causing serious impacts on society,economy and the environment.Traditional disaster management methods often show limitations in addressing these challenges,particularly in the aspects of data processing,disaster prediction and resource allocation.Artificial intelligence technology,especially machine learning and deep learning,provides new possibilities for improving disaster management.By the real-time moni-toring and analysis of mass data,artificial intelligence can provide more accurate disaster prediction,support more ef-ficient emergency response strategies and contribute to post-disaster recovery and planning.Based on this,this study delves into the implementation and application of these strategies,evaluates their effectiveness and proposes fu-ture research directions.
Artificial intelligenceFloods and droughtsRisk assessmentEmergency response
NETL
NSTL
万方数据
