The study is focused on modelling uncertainty propagation from GIS data sources and on
assessing their influence on landslide susceptibility modelling. A complete set of tools was …

An effective parallelization algorithm based on the compute-unified-device-architecture
(CUDA) is developed for DEM generalization that is critical to multi-scale terrain analysis. It …

The optimal strategy to numerically solve the Richards equation is problem-dependent,
especially on GPUs because an efficient numerical scheme on CPU might not scale well on …

A geostatistical methodology is developed with the aim of simulating three-dimensional
grids of transmissivity. The case study is a highly heterogeneous massif rock body, mainly …

Modeling catchment-lake interactions is computationally demanding, usually requiring
coupled numerical models and parallel processing capabilities. However, models with these …

The advection-reaction-diffusion equation is a rather general model that describes a variety
of environmental processes, such as air pollution transport, aquifer recharge, groundwater …

The high-resolution 3D groundwater flow and transport simulation problem requires massive
discrete linear systems to be solved, leading to significant computational time and memory …

Simulating the surface flow dynamics is of great importance in disaster prevention and
mitigation, which could benefit the land remediation, regional planning, environmental …

A geostatistical methodology is developed with the aim of simulating three-dimensional
grids of transmissivity. The case study is a highly heterogeneous massif rock body, mainly …