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Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Chadalawada, Jayashree;  Herath, H. M. V. V.;  Babovic, Vladan
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
rainfall-runoff modeling  flexible conceptual modeling framework  machine learning  genetic programming  
Information-Based Machine Learning for Tracer Signature Prediction in Karstic Environments 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mewes, B.;  Oppel, H.;  Marx, V.;  Hartmann, A.
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
Machine learning  entropy  information content  karst  hydrograph separation  
Boosting Resolution and Recovering Texture of 2D and 3D Micro-CT Images with Deep Learning 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Da Wang, Ying;  Armstrong, Ryan T.;  Mostaghimi, Peyman
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Konapala, Goutam;  Mishra, Ashok
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Gap Filling of High-Resolution Soil Moisture for SMAP/Sentinel-1: A Two-Layer Machine Learning-Based Framework 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 6986-7009
作者:  Mao, Hanzi;  Kathuria, Dhruva;  Duffield, Nick;  Mohanty, Binayak P.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (7) : 5715-5737
作者:  Araya, Samuel N.;  Ghezzehei, Teamrat A.
收藏  |  浏览/下载：1/0  |  提交时间：2019/11/27
Remote Sensing of River Bathymetry: Evaluating a Range of Sensors, Platforms, and Algorithms on the Upper Sacramento River, California, USA 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2142-2169
作者:  Legleiter, Carl J.;  Harrison, Lee R.
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
remote sensing of rivers  bathymetric mapping  hyperspectral  unmanned aircraft system (UAS)  bathymetric LiDAR  satellite image data  
The Impact of Landscape Characteristics on Groundwater Dissolved Organic Nitrogen: Insights From Machine Learning Methods and Sensitivity Analysis 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (7) : 4785-4804
作者:  Wang, B.;  Hipsey, M. R.;  Ahmed, S.;  Oldham, C.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
groundwater  dissolved organic nitrogen  urbanization  machine learning  sensitivity analysis  
An estimation of the main wetting branch of the soil water retention curve based on its main drying branch using the machine learning method 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (2)
作者:  Lamorski, Krzysztof;  Simunek, Jiri;  Slawinski, Cezary;  Lamorska, Joanna
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09