https://scholars.lib.ntu.edu.tw/handle/123456789/633861
標題: | Artificial Intelligence Techniques in Hydrology and Water Resources Management | 作者: | FI-JOHN CHANG Chang, Li Chiu Chen, Jui Fa |
關鍵字: | deep learning | early warning | hydroinformatics | hydrological modeling | machine learning | sustainability | uncertainty | 公開日期: | 1-五月-2023 | 卷: | 15 | 期: | 10 | 來源出版物: | Water (Switzerland) | 摘要: | The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles—as well as urban, agricultural, and industrial water cycles—to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has made notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, non-linear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoTs). The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160593338&doi=10.3390%2fw15101846&partnerID=40&md5=89fcd38ba9064fe36d757e97f9b0e2e3 https://scholars.lib.ntu.edu.tw/handle/123456789/633861 |
ISSN: | 2073-4441 | DOI: | 10.3390/w15101846 |
顯示於: | 生物環境系統工程學系 |
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