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| Impact of phases distribution on mixing and reactions in unsaturated porous media 期刊论文
, 2020, 卷号: 144
作者: Jiménez-Martínez J.; Alcolea A.; Straubhaar J.A.; Renard P.
  收藏 | 浏览/下载：114/0 | 提交时间：2020/07/28 |
| A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations 期刊论文
, 2020, 卷号: 143
作者: Jing W.; Di L.; Zhao X.; Yao L.; Xia X.; Liu Y.; Yang J.; Li Y.; Zhou C.
收藏 | 浏览/下载：31/0 | 提交时间：2020/07/28
Decision trees Digital storage Evapotranspiration Geodetic satellites Groundwater Learning systems Soil moisture Surface measurement Water conservation Water supply Data-driven approach Ensemble learning algorithm Gravity recovery and climate experiment satellites Groundwater storage Land surface modeling Machine learning models Terrestrial water storage Variable importances Learning algorithms |
| Machine learning in geo- and environmental sciences: From small to large scale 期刊论文
, 2020, 卷号: 142
作者: Tahmasebi P.; Kamrava S.; Bai T.; Sahimi M.
收藏 | 浏览/下载：13/0 | 提交时间：2020/07/28
Big data Deep learning Flow of fluids Geology Learning systems Pattern recognition Porous materials Basic concepts Complex pattern Environmental science Fluid flow in porous media Hydrological modeling Ml algorithms Recent progress Surface characterization Learning algorithms |
| Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder 期刊论文
, 2020, 卷号: 142
作者: Liu M.; Grana D.
收藏 | 浏览/下载：19/0 | 提交时间：2020/07/28
Aquifers Boreholes Carbon capture Carbon dioxide Convolution Digital storage Forecasting Geological surveys Hydrogeology Inverse problems Large dataset Offshore oil well production Petrophysics Porosity Seismology Stochastic systems Carbon dioxide sequestration Deep saline aquifers Ensemble-based method Machine learning methods Monitoring measurements Petro-physical characterizations Petrophysical properties Stochastic approach Learning systems accuracy assessment aquifer carbon dioxide carbon sequestration carbon storage leakage monitoring permeability physical property porosity precision underground storage |
| Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者: Phan T.-T.-H.; Nguyen X.H.
收藏 | 浏览/下载：17/0 | 提交时间：2020/07/28
Autoregressive moving average model Cost effectiveness Disaster prevention Forecasting Learning algorithms Water levels Water resources Auto-regressive integrated moving average Computational time Cost-effective solutions Linear and nonlinear models Physically based models Statistical machine learning Time series forecasting Water level forecasting Machine learning data set flood forecasting forecasting method hydrological modeling machine learning numerical model performance assessment river water water level Hanoi Red River [Asia] Viet Nam |
| Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms 期刊论文
, 2020, 卷号: 141
作者: Liu Y.; Jing W.; Wang Q.; Xia X.
收藏 | 浏览/下载：28/0 | 提交时间：2020/07/28
Decision trees Land surface temperature Learning systems Nearest neighbor search Neural networks Object oriented programming Soil moisture Support vector machines Support vector regression Surveying Topography Vegetation Classification and regression tree Correlation coefficient Digital elevation model Geographic coordinates High spatial resolution K nearest neighbor (KNN) Machine learning techniques Normalized difference vegetation index Learning algorithms algorithm comparative study correlation data set digital elevation model downscaling machine learning NDVI soil moisture spatial analysis surface temperature Australia China North America Qinghai-Xizang Plateau Spain |
| A long Short-Term memory cyclic model with mutual information for hydrology forecasting: A Case study in the xixian basin 期刊论文
, 2020, 卷号: 141
作者: Lv N.; Liang X.; Chen C.; Zhou Y.; Li J.; Wei H.; Wang H.
收藏 | 浏览/下载：109/0 | 提交时间：2020/07/28
Brain Flood control Floods Long short-term memory Rain Reservoirs (water) Time series analysis Water levels Accurate prediction Flood forecasting models Forecasting modeling Hydrology prediction Mutual informations Performance degradation Reservoir water level Time series features Weather forecasting artificial neural network flood forecasting hydrological modeling information rainfall time series analysis China Henan Xixian |
| Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport 期刊论文
, 2020, 卷号: 141
作者: He Q.; Barajas-Solano D.; Tartakovsky G.; Tartakovsky A.M.
收藏 | 浏览/下载：112/0 | 提交时间：2020/07/28
Deep neural networks Hydraulic conductivity Learning systems Porous materials State estimation Accuracy of parameters Computational costs Concentration fields Concentration Measurement Data assimilation Governing equations Parameter and state estimation Subsurface transport Parameter estimation artificial neural network data assimilation hydraulic conductivity hydraulic head porous medium subsurface flow transport process |
| Deep reinforcement learning for the real time control of stormwater systems 期刊论文
, 2020, 卷号: 140
作者: Mullapudi A.; Lewis M.J.; Gruden C.L.; Kerkez B.
收藏 | 浏览/下载：23/0 | 提交时间：2020/07/28
Controllers Deep neural networks Learning systems Real time control Reinforcement learning Storms Water levels Autonomous control Computational resources Control performance Open source implementation Performance enhancements Stormwater systems Uncontrolled systems Urban stormwater systems Deep learning algorithm machine learning real time stormwater |
| Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms 期刊论文
, 2020, 卷号: 141
作者: Rahman A.T.M.S.; Hosono T.; Quilty J.M.; Das J.; Basak A.
收藏 | 浏览/下载：23/0 | 提交时间：2020/07/28
Decision trees Forecasting Groundwater Irrigation Machine learning Neural networks Water quality Water supply Gradient boosting Groundwater level forecasting Irrigation scheduling Key Issues Land development Land subsidence Machine learning approaches Real-world scenario Wavelet transforms forecasting method groundwater machine learning transform water level water quality wavelet analysis Japan Kumamoto Kyushu |
