Interactions between humans and the environment are occurring on a scale that has never
previously been seen; the scale of human interaction with the water cycle, along with the …

Increased variability of the water cycle manifested by climate change is a growing global
threat to agriculture with strong implications for food and livelihood security. Thus, there is an …

The past quarter century has witnessed development of advanced modeling approaches,
such as stochastic and agent-based modeling, to sustainably manage water systems in the …

Uncertainty quantification of hydrological model parameters plays an important role in the
streamflow prediction of river basins. It is still a challenge to evaluate the effect of parameter …

The paper presents a computationally efficient meta-modeling approach to spatially explicit
uncertainty and sensitivity analysis in a cellular automata (CA) urban growth and land-use …

With enhanced availability of high spatial resolution data, hydrologic models such as the
Soil and Water Assessment Tool (SWAT) are increasingly used to investigate effects of …

Understanding how society can address and mitigate threats to groundwater sustainability
remains a pressing challenge in the Anthropocene era. This article presents the first …

A simulation optimization framework requires a substantial number of model simulations,
which are computationally intensive and may be impractical when the model simulations are …

Efficient parameter identification is an important issue for mechanistic agro-hydrological
models with a complex and nonlinear property. In this study, we presented an efficient global …

Predicting coastal erosion requires an accurate morphodynamic model. XBeach has been
widely adopted to simulate storm-induced coastal erosion. Because of the large number of …