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On the role of density-driven dissolution of CO2 in phreatic karst systems 期刊论文
Water Resources Research, 2021
作者:  H. Class;  P. Bü;  rkle;  T. Sauerborn;  O. Trö;  tschler;  B. Strauch;  M. Zimmer
收藏  |  浏览/下载：3/0  |  提交时间：2021/12/15
Innovative digital projects boost environmental research 新闻
来源平台：Centre for Ecology & Hydrology. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：11/0  |  提交时间：2020/09/14
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13
machine learning  inference  floods  
National Academy of Engineering Elects 87 Members and 18 International Members 新闻
来源平台：National Academy of Engineering. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：16/0  |  提交时间：2020/06/02
National Academy of Engineering Elects 86 Members and 18 International Members 新闻
来源平台：National Academy of Engineering. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：8/0  |  提交时间：2020/09/22
A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Saksena, Siddharth;  Dey, Sayan;  Merwade, Venkatesh;  Singhofen, Peter J.
收藏  |  浏览/下载：4/0  |  提交时间：2020/07/02
A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Xiang, Zhongrun;  Yan, Jun;  Demir, Ibrahim
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Distribution-Based Global Sensitivity Analysis in Hydrology 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Ciriello, Valentina;  Lauriola, Ilaria;  Tartakovsky, Daniel M.
收藏  |  浏览/下载：7/0  |  提交时间：2020/02/16
uncertainty  surrogate model  polynomial chaos  evapotranspiration  
Bayesian Calibration and Sensitivity Analysis for a Karst Aquifer Model Using Active Subspaces 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 7086-7107
作者:  Parente, Mario Teixeira;  Bittner, Daniel;  Mattis, Steven A.;  Chiogna, Gabriele;  Wohlmuth, Barbara
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/27
Can Convolution and Deconvolution Be Used as Tools for Modeling Multicomponent, Mixing-Limited Reaction Networks? 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (7) : 6302-6315
作者:  Engdahl, Nicholas B.;  McCallum, James L.;  Ginn, Timothy R.
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27