| 期刊全稱 | Applications of Machine Learning in Hydroclimatology | | 影響因子2023 | Roshan Srivastav,Purna C. Nayak | | 視頻video | http://file.papertrans.cn/168/167496/167496.mp4 | | 發(fā)行地址 | Interdisciplinary approach integrates concepts from hydrology and machine learning, presenting a holistic perspective .Provides hands-on case studies that showcase real-world applications of the lates | | 學(xué)科分類 | The Springer Series in Applied Machine Learning | | 圖書封面 |  | | 影響因子 | .Applications of Machine Learning in Hydroclimatology. is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. The book explores how artificial intelligence can unravel the complexities of hydrological systems, providing researchers and practitioners with cutting-edge tools to model, predict, and manage these systems with greater precision and effectiveness. It thoroughly examines the modeling of hydrometeorological extremes, such as floods and droughts, which are becoming increasingly difficult to predict due to climate change. By leveraging AI-driven methods to forecast these extremes, the book offers innovative approaches that enhance predictive accuracy. It emphasizes the importance of analyzing non-stationarity and uncertainty in a rapidly evolving climate landscape, illustrating how statistical and frequency analyses can improve hydrological forecasts. Moreover, the book explores the impact of climate change on flood risks, drought occurrences, and reservoir operations, providing insights into how these phenomena affect water resource management...To provide practical solutions, the b | | Pindex | Book 2025 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-10 19:24
發(fā)表于 2025-3-21 16:32:00
