Hydrological consequences of controlled drainage with subirrigation; Understanding the global success criteria for managed aquifer recharge schemes; A four-component mixing model reveals snowpack melting as early as March during the 2019 hydrological year in the Upper Ganga Basin; Global evapotranspiration models and their performance at different spatial scales: Contrasting a latitudinal gradient against global catchments; Coupling water, solute, and sediment transport into a new computationally efficient hydrologic model; Spatial variation of water stable isotopes of multiple rivers in southeastern Qaidam Basin, northeast Qinghai-Tibetan Plateau: Insights into hydrologic cycle; Groundwater dominates terrestrial hydrological processes in the Amazon at the basin and subbasin scales; A global insight on sensitivity of nitrate leaching to drainage in arable cropping systems; Study on the supercooling and crystallization mechanism of saline soil based on thermodynamic framework; Remediation of DNAPL-contaminated heterogeneous aquifers using colloidal biliquid aphron: Multiscale experiments and pore-scale simulations; Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin; Attributing the streamflow variation by incorporating glacier mass balance and frozen ground into the Budyko framework in alpine rivers; A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds; Uncertainty analysis of 100-year flood maps under climate change scenarios; Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude; Quantifying the natural flood management potential of leaky dams in upland catchments, Part I: A data-based modelling approach; Interpreting floodplain heterogeneity: Using field data to understand unsupervised floodplain classifications; Evaluating data-driven and hybrid modeling of terrestrial actual evapotranspiration based on an automatic machine learning approach; An exploratory framework to urban flood collaborative mitigation strategy considering synergistic effect of inundation volume;
