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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:40/0  |  提交时间:2022/12/26
river modeling  machine learning  hydrodynamic models  water exchange  downstream boundary conditions  
Sedimentation supports life-cycle CH4 production and accumulation in a river valley reservoir: A hierarchical Bayesian modeling approach 期刊论文
WATER RESEARCH, 2022, 卷号: 222, 页码: 9
作者:  Li, Qi;  Li, Zhe;  Zhang, Yuanyuan;  Wu, Xinghua;  Yang, Liu;  Lu, Lunhui;  Chen, Yongbo
收藏  |  浏览/下载:63/0  |  提交时间:2022/12/26
Methane  Organic carbon  Scenario analysis  Life cycle  Cascade reservoirs  
Pollutant Removal and Energy Recovery from Swine Wastewater Using Anaerobic Membrane Bioreactor: A Comparative Study with Up-Flow Anaerobic Sludge Blanket 期刊论文
WATER, 2022, 卷号: 14, 期号: 15, 页码: 15
作者:  Pu, Yunhui;  Tang, Jialing;  Zeng, Ting;  Hu, Yisong;  Yang, Jixiang;  Wang, Xiaochang;  Huang, Jin;  Abomohra, Abdelfatah
收藏  |  浏览/下载:57/0  |  提交时间:2022/10/14
anaerobic membrane bioreactor  wastewater treatment  anaerobic digestion  microbial community  energy recovery  
Terrigenous organic carbon drives methane dynamics in cascade reservoirs in the upper Yangtze China 期刊论文
WATER RESEARCH, 2022, 卷号: 219, 页码: 12
作者:  Zhang, Yuanyuan;  Su, Youheng;  Li, Zhe;  Guo, Shuhui;  Lu, Lunhui;  Zhang, Bin;  Qin, Yu
收藏  |  浏览/下载:56/0  |  提交时间:2022/08/22
Methane dynamics  Terrigenous POC  Carbon footprint  Cascade reservoirs  Hydropower production  
Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文
WATER, 2022, 卷号: 14, 期号: 11, 页码: 21
作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun
收藏  |  浏览/下载:88/0  |  提交时间:2022/08/22
mid- to long-term runoff prediction  deep learning models  time lag  lead time