Machine Learning Model Optimizes Reservoir Sediment Routing During Severe Floods
Researchers have developed a machine-learning surrogate framework combined with dynamic programming to optimize sediment routing in Taiwan's Nanhua Reservoir during ...
Researchers have developed a machine-learning surrogate framework combined with dynamic programming to optimize sediment routing in Taiwan's Nanhua Reservoir during ...
The dynamic DRASTIC-FL framework models time-variant aquifer vulnerability to flooding using interval calculations to capture shifts driven by antecedent moisture.
A study in Climate Dynamics finds compound heat-drought metrics in China shifted during 2005–2009, with occurrence and duration showing strong ...
A narrative review indicates that agricultural production can increase without ecological degradation, though benefits remain unequally distributed and environmental costs ...
A preprint study presents the first globally consistent rock glacier inventory, mapping 301,524 features across nineteen mountain regions using high-resolution ...
A preprint details the European Groundwater Monitoring database, assembling decades of harmonized groundwater records across 15,760 monitoring sites in 24 ...
A new study demonstrates that simple Box-Cox transformations, particularly the logarithmic transformation, significantly improve the reliability of probabilistic hourly streamflow ...
A study in Climate Dynamics finds that the area fraction and regional mean intensity of dry-wet transitions in China have ...
A global hyper-resolution modeling study reveals that subsurface mechanisms extend meteorological dry spells into multi-year groundwater droughts across 35 percent ...
A 75-year analysis of Omani climate data shows compound drought–heatwave events cluster in central-western and northern regions, with modeled joint ...
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© 2026 Scienmag - Science Magazine