Reliable and accurate prediction of landslide displacement is essential for early warning
systems, as well as for disaster prevention and mitigation. Machine learning and deep …

More than 80% of sandy beaches in Taiwan have been experiencing a severe recession,
although the sediment discharge of rivers in Taiwan is significantly higher than the world …

Land subsidence in urban settlements is globally becoming prevalent and severe due to sea
level rise and accelerated construction. However, few studies have analyzed the …

Land subsidence will decrease the safety factor of bridges and structures. Many highways
and railways constructed decades ago are experiencing damage due to continual land …

Groundwater pollution risk evaluation is an important basis for developing groundwater
protection measures and management strategies, and its accuracy directly affects the …

Uncertainty in hydrogeological modeling has recently received attention. It has been
reported that the geological model is one of the primary sources of uncertainty. The present …

This research presents an unsupervised learning approach for interpreting well-log data to
characterize the hydrostratigraphical units within the Quaternary aquifer system in Debrecen …

Groundwater level dynamic monitoring data have the characteristics of spatio-temporal non-
smoothness and strong spatio-temporal correlation. However, the current groundwater level …

This work presents the derivation of analytical solutions concerning the radial subsidence
distribution ensuing from fluid extraction from a disk-shaped confined aquifer in …

Water seepage in soil is a fundamental problem involving various scientific and engineering
fields. According to the literature, low-velocity water seepage in low-permeability porous …