Investigating the enigma of an irregular groundwater age pattern in a confined, presumed “fossil” complex aquifer through mixing cell flow modeling; Developing a cost-effective emulator for groundwater flow modeling using deep neural operators; Improving cascade reservoir inflow forecasting and extracting insights by decomposing the physical process using a hybrid model; Simultaneous identification of a non-point contaminant source with Gaussian spatially distributed release and heterogeneous hydraulic conductivity in an aquifer using the LES-MDA method; Analysis of gap filling techniques for GRACE/GRACE-FO terrestrial water storage anomalies in Canada; Double verification and quantitative traceability: A solution for mixed mine water sources; The challenge of monitoring snow surface sublimation in winter could be resolved with structure-from-motion photogrammetry; Effects of rainfall on the karst-related carbon cycle due to carbonate rock weathering induced by H2SO4 and/or HNO3; Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products; A modified Xin'anjiang model and its application for considering the regulatory and storage effects of small-scale water storage structures; Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks; Projected increase in widespread riverine floods in India under a warming climate; Suspended sediment dynamics and linking with watershed surface characteristics in a karst region; Legacy effects of extreme drought and wetness events on mountain grassland ecosystems and their elevation dependence; Investigation of the geological and hydrogeological structure of chalk cliffs with visible, thermal infrared and electrical resistivity imaging; Integrated surrogate framework for reactive transport simulation of uranium in situ leaching with generative models; Improving the efficiency of in situ uranium leaching (remediation) with periodic injection and extraction: Insight from reactive transport modeling and field test; Dynamic hydrological niche segregation: How plants compete for water in a semi-arid ecosystem; Prediction of flood risk levels of urban flooded points though using machine learning with unbalanced data; Multi-objective optimization operation of multiple water sources under inflow-water demand forecast dual uncertainties; High efficiency integrated urban flood inundation simulation based on the urban hydrologic unit.
