Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
The beginning of the 21st century is marked by a rapid growth of land surface satellite data
and model sophistication. This offers new opportunities to estimate multiple components of …
and model sophistication. This offers new opportunities to estimate multiple components of …
Focus on the nonlinear infiltration process in deep vadose zone
Y He, Y Wang, Y Liu, B Peng, G Wang - Earth-Science Reviews, 2024 - Elsevier
The vadose zone serves as a crucial link for the mutual transformation of atmospheric,
surface, ecological, and groundwater systems. Infiltration recharge in the vadose zone is a …
surface, ecological, and groundwater systems. Infiltration recharge in the vadose zone is a …
Deep learning with mixup augmentation for improved pore detection during additive manufacturing
In additive manufacturing (AM), process defects such as keyhole pores are difficult to
anticipate, affecting the quality and integrity of the AM-produced materials. Hence …
anticipate, affecting the quality and integrity of the AM-produced materials. Hence …
Machine learning of pair-contact process with diffusion
The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-
contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition …
contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition …
Scalable deep learning for watershed model calibration
Watershed models such as the Soil and Water Assessment Tool (SWAT) consist of high-
dimensional physical and empirical parameters. These parameters often need to be …
dimensional physical and empirical parameters. These parameters often need to be …
A deep learning-based surrogate model for trans-dimensional inversion of discrete fracture networks
R Feng, S Nasser - Journal of Hydrology, 2024 - Elsevier
Fractures and their geometrical patterns are usually required to analyze the mechanical and
flow properties of porous media in the subsurface. Fracture characterization is therefore …
flow properties of porous media in the subsurface. Fracture characterization is therefore …
Research on low-energy consumption automatic real-time regulation of cascade gates and pumps in open-canal based on reinforcement learning
T Gan, Y Jiang, H Zhao, J He… - Journal of Hydroinformatics, 2024 - iwaponline.com
Cascade gates and pumps are common hydraulic structures in the open-canal section of
water transfer projects, characterized by high energy consumption and substantial costs …
water transfer projects, characterized by high energy consumption and substantial costs …
A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating CNNs and GNNs for Improved Permeability Prediction
Subsurface fluid flow, essential in various natural and engineered processes, is largely
governed by a rock's permeability, which describes its ability to allow fluid passage. While …
governed by a rock's permeability, which describes its ability to allow fluid passage. While …