中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2022

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	Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions 期刊论文 WATER RESOURCES RESEARCH, 2022, 卷号: 58, 期号: 10, 页码: 15 作者:  Huang, Sheng;  Xia, Jun;  Wang, Yueling;  Wang, Wenyucheng;  Zeng, Sidong;  She, Dunxian;  Wang, Gangsheng 收藏  |  浏览/下载：38/0  |  提交时间：2022/12/26 river modeling  machine learning  hydrodynamic models  water exchange  downstream boundary conditions
	Water depth and land-use intensity indirectly determine phytoplankton functional diversity and further regulate resource use efficiency at a multi-lake scale 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 834, 页码: 13 作者:  Zhou, Qichao;  Zhang, Yun;  Tao, Juan;  Ye, Lin;  Wang, Haijun;  Shan, Kun;  Jeppesen, Erik;  Song, Lirong 收藏  |  浏览/下载：45/0  |  提交时间：2022/10/14 Phytoplankton  Biodiversity-ecosystem functioning (BEF)  Lake depth  Land use  Total phosphorus  Bayesian network
	Time-Lag Effect: River Algal Blooms on Multiple Driving Factors 期刊论文 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 9, 页码: 12 作者:  Liu, Chengjian;  Chen, Yan;  Zou, Lei;  Cheng, Bingfen;  Huang, Tonghui 收藏  |  浏览/下载：43/0  |  提交时间：2022/08/22 river algal blooms  time-lag effect  drive factors  river ecosystem  Hanjiang River