We propose a biomorphodynamic model for the quasi-3D equilibrium morphology of tidal channels

Vegetation growth produces different competing effects on channel morphology

Mathematical modeling provides a useful tool for quantitative long-term tidal biomorphodynamics

For the first time, the network shrinking and dry down in two seasonally dry hot-summer Mediterranean headwater catchments are analyzed

Network length dynamics depend on the difference between antecedent accumulated rainfall and evapotranspiration

The modeling of the flowing network spatial patterns based on topographic and geological information achieved accuracies up to 92%

Under good lighting conditions results were comparable to previous studies that had used GCPs, with an average RMSE of 0.19 m.

When large areas were under shadow from the terrain, or solar light was affected by clouds, the estimated error increased noticeably.

UAV with RTK positioning allow a fast acquisition of snow distribution over large areas dramatically reducing the exposure to nature hazards

The spatial distribution of dissolution and precipitation reactions controls permeability evolution

Simultaneous mineral reactions can increase, decrease, or result in little change in permeability

Porosity-permeability relationships have limited predictive capability

Constrained energy minimization in a discrete-domain model describes three-phase capillary pressure and hysteresis from pore to core scale

Inclusion of saturation constraints leads to a variety of three-phase displacements with fluid redistribution, pressure and saturation jumps

A fast and flexible method to calculate three-phase capillary pressure for higher-order hysteresis loops

Predicting flow resistance using a bed grain size percentile is unreliable in shallow flows over coarse stream beds

The alternative of calibrating roughness height in a logarithmic or variable-power resistance equation is tested using data from eight gravel/cobble/boulder reaches

Roughness calibration at a single intermediate flow depth greatly improves predictions of velocity at higher and lower depths

Evaporation with dry soil layer (DSL) investigated with laboratory experiments using soil columns under different evaporation conditions.

Atmospheric pressure fluctuation has large effect on the evaporation with thick DSL.

Both daily changes in solar radiation and different DSL thickness had only a limited effect on soil evaporation with a thick DSL.

Raw ECa values are highly correlated with the thickness of alluvial soil in a riparianwetland.

Alluvial soil thickness predictions from multi-linear regressions were more accurate thanfrom EMI inversion methods.

Robust predictions of hydraulic conductivity across the field site require more extensiveintrusive data.

We built one spatial and two spatiotemporal models using Bayesian Maximum Entropy to estimate Depth to Groundwater in a rural region.

The addition of probabilistic data, based on local knowledge collected through Community Science Research, improved the space-time model.

The watershed's portion more likely to have shallow depth to groundwater increased from 13% in an average year to 56% in a La Niña year.

Aquifer diffusivity was estimated by inverting attenuation and lag of several dominant constituents in water level fluctuations induced by a tidal river.

The attenuation and the lag of five constituents were analyzed either independently or simultaneously with the Jacob-Ferris model.

The estimated diffusivities using the most representative well pairs have very good agreement with estimates from a pumping test.