Showing papers in "Advances in Water Resources in 2021"

TL;DR: In this paper, the authors characterized the contact angles of hydrogen in contact with brine and Bentheimer and Berea sandstones at various pressure, temperature, and brine salinity using the captive-bubble method.

TL;DR: The underlying mathematical model, an overview of the features of the participating numerical methods, and their performance in solving the benchmark cases for single-phase flow in three-dimensional fractured porous media are presented.

TL;DR: The result shows the AR-Runet surrogate model can provide an accurate approximation of saturation and pressure fields at different times and it is demonstrated that with the autoregressive strategy this network can achieve similar predict results with relatively less training data.

TL;DR: This paper presents numerical simulations running on supercomputer Shaheen, a state-of-the-art supercomputing facility in Saudi Arabia, which simulates the response of the immune system to earthquake-triggered landslides.

TL;DR: In this paper, a dynamic pore-network model for imaged-based modeling of spontaneous imbibition in porous media is proposed. But the model is not suitable for the case of sintered glass beads.

TL;DR: In this paper, the authors apply artificial intelligence methods based on machine learning algorithms to satellite remote sensing and monthly climate data to map the spatial extent of irrigated areas between 2001 and 2015.

TL;DR: CCSNet is developed, a general-purpose deep-learning modeling suite that can act as an alternative to conventional numerical simulators for carbon capture and storage problems where CO is injected into saline aquifers in 2d-radial systems, and rigorous estimation techniques for the sweep efficiency and solubility trapping are developed.

TL;DR: In this paper, the long-term impact of local-precipitation, global-climate cycles, and human influence on multi-depth groundwater levels (n=6753) in the Indus-Ganges-Brahmaputra-Meghna aquifers (IGBM) using lag correlation analysis, wavelet coherence analysis, and regression-based dominance analysis was analyzed.

TL;DR: In this paper, the authors evaluate how CO2 fate and transport is controlled by the spatial organization, volume proportions, and connectivity of sedimentary facies types, facies-dependent constitutive relations and their hysteretic behavior, and presence and/or absence of dissolved components such as methane (CH4) in brine.

TL;DR: Simulation results show that the developed DG/CG approach can reliably predict the flow behaviors for single- and two-phase flow in fractured porous media.

TL;DR: In this article, the authors performed a national-scale assessment of the impact of soybean import on domestic cropland conversion, crop production, water use and nitrogen (N) fertilizer application, and found that soybean production in China decreased by 26% (4.46 million tons) and sown areas were reduced by 25% (2.39 million ha).

TL;DR: It is demonstrated how the hybrid approach, by using the entire available training data and its modified formulation, efficiently represents interactions between GEFS forecasts and season/lead times, thus leading to enhanced predictive performance.

TL;DR: In this paper, the authors presented two statistical models for downscaling flood hazard indicators derived from upscaled shallow water simulations, which are based on the decomposition of hazard indicators into linear combinations of spatial patterns obtained from a Principal Component Analysis (PCA).

TL;DR: In this article, a grid-based hydrological model is applied, with ensembles of global and regional climate projections from UK Climate Projections 2018, to investigate the potential future changes in both floods and droughts in a consistent way across the whole of Great Britain.

TL;DR: The aims of this study were to calculate the water footprint for a tropical cattle production system and to evaluated the influence of each individual-animal performance and type of diet.

TL;DR: In this paper, the authors developed and validated a three-dimensional particle method based on an Enhanced Weakly-Compressible MPS approach for modeling immersed dense granular flows for all regimes of multiphase granular flow and proposed a new consistent formulation to estimate the effective pressure of the solid skeleton based on the continuity equation of pore-water.

TL;DR: In this paper, a 3D model incorporating the PFAS-specific flow and transport processes was developed to quantify the impact of surfactant-induced flow and subsurface heterogeneities.

TL;DR: In this article, a series of laboratory experiments were conducted to investigate the influences of different street layouts and infrastructures on flood inundation processes, and the results from the numerical simulations agree well with the experimental findings, with the NSE values being greater than 0.7 and the RMSE values less than 3×10−2.

TL;DR: In this article, the processes that affect reorganization of flow and transport in fractures during precipitation were investigated experimentally and numerically in order to highlight the interplay between calcite precipitation, flow and growth substrate.

TL;DR: In this paper, the authors used a simple numerical model to simulate water and heat transport with phase change in unsaturated soil via three different approaches: empirical, semi-empirical and physically based.

TL;DR: In this article, the authors proposed a simple and novel method based on the Budyko framework to evaluate the hydrologic resilience of 16 basins that conform the Asian Water Tower in the Tibetan Plateau (TP).

TL;DR: In this article, a fully connected deep neural network (DNN) with principal component analysis (PCA) was used to image river bed topography using depth-averaged flow velocity observations.

TL;DR: In this article, the authors employed laboratory scale experiments and numerical modeling to investigate saltwater intrusion in fractured aquifers, showing that the longer the discontinuities were, the more significant their impact on groundwater dynamics.

TL;DR: In this paper, the authors evaluate green and blue water footprints associated with the production of 39 crops grown in humid Mazandaran and arid Semnan provinces, under current production patterns and current local water availability.

TL;DR: In this paper, the authors model root water uptake under variably saturated conditions for a one-hectare temperate forest plot for a growing season with a pronounced mid-season dry period.

TL;DR: In this article, high-speed (1s resolution) X-ray micro-computed tomography combined with pressure measurements recorded while controlling fluid flux was used to identify why intermittent fluid transport occurs at subsurface conditions and what the implications are for upscaled flow properties such as relative permeability.

TL;DR: In this paper, the authors investigated the impact of sub-grid scale horizontal lamination on the migration of the CO 2 plume during geologic sequestration and derived a macroscopic capillary number that accurately describes the viscous-capillary force balance.

TL;DR: In this paper, a dynamic mass balance model connecting biogeochemical and ecohydrological dynamics is presented to shed light on these intertwined processes involved in enhanced weathering (EW) resulting from soil amendment with highly reactive silicate minerals.

TL;DR: In this paper, the authors show that in addition to physically based hydrological models, the upcoming and promising trend of incorporating machine learning (ML) in hydrology can provide the basis for future efforts in supporting national operational water management by providing the needed information efficiently and with the required accuracy.

TL;DR: An innovative activation/deactivation rule is introduced enabling for the first time the practical application of asynchronous CA to subsurface flow problems, and enables increased space-time resolution on wider study areas and further developments focusing on the simulation of computationally demanding relevant processes.