Machine Learning Forecasts Reservoir Water Well but Misses Silent Sediment Loss
A comparative study of Taiwan's Mingde and Shihmen reservoirs shows machine learning models forecast monthly storage with high skill but ...
A comparative study of Taiwan's Mingde and Shihmen reservoirs shows machine learning models forecast monthly storage with high skill but ...
A new framework couples scenario planning with biophysical metabolic accounting to test which futures for post-eruption La Palma are physically, ...
IIASA researchers and partners have developed a river-basin-scale framework that operationalizes the Global Water Planetary Boundary to guide local water ...
A five-decade satellite record shows glaciers in India's Bhilangana Valley losing mass up to five times faster than in the ...
A global analysis of nearly 19,000 catchments shows that atmospheric drying trends are not transmitted uniformly into river-flow drought, with ...
A detailed survey of 239 perennial springs in Nepal's Jyagdi watershed reveals that bedrock dip, fracture lineaments and south-facing slopes ...
A bias-corrected CMIP6 ensemble projects that extreme heat days in Ethiopia's Omo-Kuraz Watershed could rise by over 440 percent by ...
A landmark special issue in Hydrogeology Journal marks ten years of socio-hydrogeology, revealing how justice, Indigenous knowledge and participatory governance ...
Climate model projections show that abrupt drought-to-wet transitions in Northern China will become more frequent and spread eastward and southward ...
A Nature Water commentary argues that the overlooked urban water workforce is a decisive determinant of city water security.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine