Search Results - "Advances in water resources"

U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow by Wen, Gege, Li, Zongyi, Azizzadenesheli, Kamyar, Anandkumar, Anima, Benson, Sally M.

“…Numerical simulation of multiphase flow in porous media is essential for many geoscience applications. Machine learning models trained with numerical…”
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Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport by He, QiZhi, Barajas-Solano, David, Tartakovsky, Guzel, Tartakovsky, Alexandre M.

“…•Standard DNN methods might lead to highly uncertain and inaccurate predictions.•Multiphysics-informed neural network (MPINN) method is proposed.•Multiphisics…”
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A review of SWAT applications, performance and future needs for simulation of hydro-climatic extremes by Tan, Mou Leong, Gassman, Philip W., Yang, Xiaoying, Haywood, James

“…•First SWAT review on hydro-climatic extreme studies.•Lack of SWAT assessment on extreme flows simulations.•Comparison of SWAT+ and SWAT should be…”
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Contact angle measurement for hydrogen/brine/sandstone system using captive-bubble method relevant for underground hydrogen storage by Hashemi, Leila, Glerum, Wuis, Farajzadeh, Rouhi, Hajibeygi, Hadi

“…•For the first time, we experimentally quantify the intrinsic contact angle of H2/Brine/Sandstone Rock.•The studies are done by developing a Captive-Bubble…”
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Machine learning in geo- and environmental sciences: From small to large scale by Tahmasebi, Pejman, Kamrava, Serveh, Bai, Tao, Sahimi, Muhammad

“…•The important methods of data mining and machine learning are reviewed and discussed.•The machine learning methods are reviewed for various applications in…”
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PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media by Santos, Javier E., Xu, Duo, Jo, Honggeun, Landry, Christopher J., Prodanović, Maša, Pyrcz, Michael J.

“…•A 3D convolutional neural network is able to create a functional relationship between pore morphology and the steady state solution of the Navier-Stokes…”
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Prediction of droughts over Pakistan using machine learning algorithms by Khan, Najeebullah, Sachindra, D.A., Shahid, Shamsuddin, Ahmed, Kamal, Shiru, Mohammed Sanusi, Nawaz, Nadeem

“…•For the first time drought prediction models were developed for Pakistan.•Support Vector Machine better captured spatiotemporal characteristics of…”
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Projection-based Embedded Discrete Fracture Model (pEDFM) by Ţene, Matei, Bosma, Sebastian B.M., Al Kobaisi, Mohammed Saad, Hajibeygi, Hadi

“…•The Projection-based Embedded Discrete Fracture Model (pEDFM) is developed.•pEDFM is able to accurately represent fractures of any conductivity contrast (with…”
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Benchmarks for single-phase flow in fractured porous media by Flemisch, Bernd, Berre, Inga, Boon, Wietse, Fumagalli, Alessio, Schwenck, Nicolas, Scotti, Anna, Stefansson, Ivar, Tatomir, Alexandru

“…•Four benchmark cases for single-phase flow in fractured porous media.•Comparison of seven state-of-the-art discrete-fracture-matrix methods.•Public access to…”
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Pore-scale imaging and modelling by Blunt, Martin J., Bijeljic, Branko, Dong, Hu, Gharbi, Oussama, Iglauer, Stefan, Mostaghimi, Peyman, Paluszny, Adriana, Pentland, Christopher

“…► We review pore-scale imaging and modelling. ► We present a methodology to predict flow and transport properties. ► We analyze dispersion in carbonates. ► We…”
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Understanding and managing the food-energy-water nexus – opportunities for water resources research by Cai, Ximing, Wallington, Kevin, Shafiee-Jood, Majid, Marston, Landon

“…•FEW shares IWRM spirit, yet offers a clearer path to research and implementation.•Knowledge gaps exist in process, system, technology, and policy linking…”
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Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms by Rahman, A.T.M. Sakiur, Hosono, Takahiro, Quilty, John M., Das, Jayanta, Basak, Amiya

“…•Machine learning models coupled with wavelet transforms for GWL forecasting.•eXtreme Gradient Boosting, Random Forests, and Support Vector Regression…”
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Seawater intrusion processes, investigation and management: Recent advances and future challenges by Werner, Adrian D., Bakker, Mark, Post, Vincent E.A., Vandenbohede, Alexander, Lu, Chunhui, Ataie-Ashtiani, Behzad, Simmons, Craig T., Barry, D.A.

“…► We review seawater intrusion literature and offer future research directions. ► The degree of spatiotemporal heterogeneities needed in management models is…”
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Groundwater dynamics in subterranean estuaries of coastal unconfined aquifers: Controls on submarine groundwater discharge and chemical inputs to the ocean by Robinson, Clare E., Xin, Pei, Santos, Isaac R., Charette, Matthew A., Li, Ling, Barry, D.A.

“…•Driving forces on flow and transport, and chemical behavior in subterranean estuaries reviewed.•Need for better understanding of interactions between physical…”
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A comparative study for H2–CH4 mixture wettability in sandstone porous rocks relevant to underground hydrogen storage by Hashemi, Leila, Boon, Maartje, Glerum, Wuis, Farajzadeh, Rouhi, Hajibeygi, Hadi

“…Characterizing the wettability of hydrogen (H2)–methane (CH4) mixtures in subsurface reservoirs is the first step towards understanding containment and…”
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A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS) by Xia, Xilin, Liang, Qiuhua, Ming, Xiaodong

“…•A full-scale fluvial flood modelling framework based on a high-performance hydrodynamic model solving the 2D SWEs.•Successful application to reproduce a storm…”
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Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network by Laloy, Eric, Hérault, Romain, Lee, John, Jacques, Diederik, Linde, Niklas

“…Efficient and high-fidelity prior sampling and inversion for complex geological media is still a largely unsolved challenge. Here, we use a deep neural network…”
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Flood risk and its reduction in China by Kundzewicz, ZW, Su, Buda, Wang, Yanjun, Xia, Jun, Huang, Jinlong, Jiang, Tong

“…•Floods in China often cause annual loss in excess of 10 billion US$.•Flood risk has grown in many places in China and is likely to grow further in the…”
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Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture by Li, Mo, Fu, Qiang, Singh, Vijay P., Liu, Dong, Li, Tianxiao

“…•An optimization model of water-food-energy nexus of irrigated agriculture is developed.•Conflicts between economic benefits and environmental impacts are…”
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Stationarity is undead: Uncertainty dominates the distribution of extremes by Serinaldi, Francesco, Kilsby, Chris G.

“…•Nonstationary frequency analyses should not be based only on at-site time series.•Nonstationary models introduce additional sources of…”
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