Long term weather and lake data from a high elevation lake in the Alps demonstrate that climate warming may actually improve the ability of high-altitude deep lakes to mix their waters.
Machine learning and data on aquifer type, sediment thickness, and proxies for irrigation water use has been used to produce the most comprehensive map of land subsidence in the western U.S. to date.
Inhabitants of Bangladesh have deepened drinking water wells to avoid extracting arsenic-rich groundwater from shallow aquifers, but these may not be free from pollution either.
Modeling of mysteriously fluctuating water levels in the Great Lakes has helped to optimize the prices of shipping insurance contracts along with investments in dredging navigation channels.
Simulation of charged species reactive transport in complex physically and electrostatically heterogeneous porous media is possible with a multiple continua approach coupled to a geochemical code.
Repeating a famous hillslope experiment after 55 years shows that soil properties can change within several decades and highlights the importance of a leaky boundary for hillslope drainage.
A new model quantifies the relative contributions of denitrification and other processes of nitrogen uptake, such as by plants, from groundwater in riparian areas around streams.
Alpine hydropower plants commonly flush sediment that accumulates at intakes, but the associated rapid rise in discharge, turbidity, and streambed instability put aquatic insects at risk.
A new research effort has mapped 35 years of naturalized streamflow for 2.94 million river reaches worldwide: an invaluable dataset for hydrology, biogeochemistry, ecology, and remote sensing.
A unique set of high-frequency groundwater level monitoring reveals a loss of approximately ten million cubic meters of groundwater after a major earthquake.