Presents a multi-objective, multi-stage stochastic programming with recourse model for reservoir operations

Develops a linear spline utility function for selecting the most preferred solution on the Pareto front

Evaluates the performance of the proposed optimization framework with a real-world case study

Spatially coherent temporal patterns in winter discharge indicates quasi-decadal periodicity in groundwater storage in headwater catchments

This variability in antecedent catchment water storage is the primary determinant of water yield during the subsequent spring snowmelt

Variability in mid-winter baseflow allows water managers to anticipate and plan for the upcoming runoff season months before melt begins

Mapping hydrofacies, expanding the modeling domain and building stronger model constraints in space and time by using a multimethod approach

Capturing the local spatial and temporal dynamic of the water table with high resolution time-lapse seismic acquisitions

Using the water table geometry dynamics to calibrate and perform fully integrated 2D river corridor modeling

New mathematical model and semi-analytical solution are developed for bank storage exchange flow with irregular and semipervious banks

An innovative dimensionless number (river bank index) is proposed to quantify the influence of bank irregularity

Over-simplified approximations of irregular bank geometry may result in non-negligible estimation errors

Hydrologic Uncertainty Processor and Bayesian Model Averaging are integrated for enhanced hydrologic uncertainty quantification

The proposed method compensates for the dependence of the Hydrologic Uncertainty Processor method on a deterministic hydrologic model

The modified formulation of the method unconditioned on initial observation leads to better streamflow forecasts for longer lead-times

We compare event-scale and inter-annual concentration-discharge relationships in four adjoined catchments with contrasting land use

The variability of event-scale C-Q relationships was shaped by land use and antecedent conditions for reactive but not for geogenic solutes

For biogeochemically reactive solutes, event-scale C-Q patterns can contrast the inter-annual pattern obtained from all observations

The porous material data-science concepts are portrayed and categorized into six subdomains

Image-based deep learning is becoming a unique tool to characterise, simulate and classify porous materials

Machine learning in porous material research studies is still dominated by MATLAB, however, Python developments are becoming a trend

Fractional wet glass beads and sands with same morphological properties (pore space connectivity) show an opposite trapping behavior

Pure hydrophobic sands and glass beads show equal trapping efficiency caused by bypass trapping (equal pore space connectivity)

Structural (site) percolation transition with a percolation threshold of approximately 50% hydrophobic glass beads

Time lags of nitrogen transport in Western European catchments were five years on average and varied in space with hydroclimatic conditions

Large parts of the diffuse N input was retained in the catchments with differences explained by subsurface properties and specific discharge

Biogeochemical legacy likely exceeded hydrologic legacy in most of the 238 analyzed catchments

Watershed-based analysis of climate change and water demand impacts on streamflow and groundwater in wet-dry tropics of Central America

El Niño and climate change may substantially impact streamflow and groundwater recharge, especially with high population growth

Reductions in domestic water demand may be able to slow down, or reverse, groundwater storage declines