A transition toward an unusually wet condition due to ocean surface warming-induced increased precipitation will not alleviate the water scarcity risk in Xinjiang, China.
The implications of nature not conforming to statistical assumptions can be devastating; researchers describe why extreme floods may be bigger than we assume.
A new study presents an integrated approach to predicting the human health impacts, economic implications, and remediation solutions for using contaminated groundwater in Central Mexico.
The model relies on measurable broad-scale attributes, increasing its flexibility for use in diverse environments.
A new study suggests that the commonly used split sample approach in hydrology, where time series are divided into a part for model calibration and a part for model validation, should be abandoned.
Mapping surface water loss from satellite data confirms decreases away from urban areas. A simple exponential distance-decay model approximates the impact of urbanization.
Satellite sensing has transformed hydrology by providing global information on variables and fluxes. Breakthroughs will come from integrating sensing information and cross-disciplinary approaches.
Emerging methods that improve precipitation forecasting over weeks to months could support more informed resource management and increase lead times for responding to droughts and floods.
Scientists are working to improve the forecasting of heavy rains in Panama following several events over the past decade that caused substantial flooding and damage.
An association between drinking water salinity and neonatal and infant mortality in Bangladesh indicates the critical role of water salinity on child health.