A meta-learning method GM-ConvCNP is proposed to characterize various 2-D and 3-D hydrogeological structures

Multiple-scale realizations can be obtained by using the same trained model with single-scale training data

The proposed method can reproduce realizations with both categorical facies and continuous variables

Fingering evolution due to the dynamic wettability change is analyzed

The importance of changing the relative permeability parameters is studied for the onset of instability

A significant shifting of wettability towards the wetting phase leads to longer fingers and early water breakthrough

Isolate vegetation greening impact on runoff signatures by comparing modelling experiments applying a Log-based Weighted Ensemble approach

Increasing LAI decreased flow magnitude, increased low flow duration, and resulted in little change in flow dynamic signatures

Flow frequency and duration signatures showed a greater response than magnitude signatures

One in ten households have essential water and sewer expenditures exceeding 4.5% of their income

Those in the lowest decile of income spend on average 6.8% of their income on essential water and sewer service

Affordability policies that provide lump-sum rebates to low-income households are less distortionary than lowering marginal water prices

A pore-throat segmentation method is proposed based on local hydraulic resistance equivalence

The reliability and accuracy are validated via various benchmark cases

The proposed method accurately predicts single/two-phase transport properties

New approach for statistical analysis of equivalent hydraulic properties (conductivity, specific storage and specific yield) is presented

Method is applied to tomographic pumping test data from the Boise aquifer to find mean and variance of equivalent properties

The mean is shown to decrease with distance from pumping well and appears to converge to the effective value at a distance

Transient water evaporation process from porous media is experimentally investigated with nondestructive nuclear magnetic resonance (NMR) analyzer

Cavitation-induced bubble nucleation is the reason for uniform water vaporization in homogeneous tight porous media

Controllable evaporation in separated porous media is achieved with water permeable and impermeable membrane

We develop a computationally efficient framework to calibrate ecosystem demography models using parallel surrogate global optimization

We apply this framework to jointly calibrate 19 plant and soil parameters for two plant functional types within a Panama tropical fores

The framework can find optimal solutions within 4 to 12 iterations for high-dimensional optimization problems (19 dimension)

Estimates of precipitation phase from an atmospheric model were used to drive snow simulations with a detailed snowpack model

Snowfall prediction and snowpack modelling are improved by using the snow level from post-processing of the atmospheric model

Direct precipitation phase from the microphysics scheme does not improve snow simulations compared to simpler rain-snow partitioning schemes

Fruit yield, quality, size and color affect farmers' perception of SI usefulness

Social norms play a great role on supplementary irrigation practices

Farm characteristics are the most important factor in adoption of SI practices

First complete high-resolution flood hazard analysis of conterminous US flood risk from all major sources (fluvial, pluvial, and coastal)

In validation tests the model achieved Critical Success Index scores of 0.69–0.82, similar to many local custom-built 2D models

By 2050, flood hazard increases for the Eastern seaboard and Western states, but decreases or changes little for the center and South-West