计算机科学
大洪水
人工智能
知识管理
地理
考古
作者
Neha G. Paswan,Litan Kumar Ray
出处
期刊:Advances in geographical and environmental sciences
日期:2024-01-01
卷期号:: 43-55
标识
DOI:10.1007/978-981-97-1685-2_3
摘要
Floods are the most disruptive natural calamities, significantly affecting agriculture, infrastructure, socioeconomic systems, and human lives. As a result, governments are under pressure to create trustworthy and precise maps of flood risk regions and to further plan for sustainable flood risk management based on prevention, protection, and preparedness. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools in addressing the complex challenges of climate change. Numerous applications of AI and ML exist for managing and reducing floods. This chapter deals with the various algorithms of machine learning in early warning systems, flood mapping and modeling, flood forecasting and risk assessment, damage assessment and recovery, social media, and sensor data analysis.
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