Study region: The Dnieper and Dniester Rivers of Ukraine.

More information: M. Almetwally Ahmed et al, Machine Learning Model for River Discharge Forecast: A Case Study of the Ottawa River in Canada, Hydrology (2024). DOI: 10.3390/hydrology11090151 ...

A columnar stalagmite a few cm wide is visible at the lower right, which is fed by a relatively low discharge drip source ... Hydrology and Earth System Science 12, 1065–1074 (2008).

In this study, we employ a series of high-resolution models to forecast river discharge trends by mid-century. Leveraging the mizuRoute river routing model, forced by output from a 4km resolution ...

The unprecedented research assimilates 9.18 million river discharge estimates made from 155,710 orbital satellite images into hydrologic model simulations of 486,493 Arctic river reaches from 1984 ...

This study used deep learning to accurately estimate the subsurface permeability of a watershed using widely available stream discharge data. Home Article Highlight | 26-Sep-2022 ...

Machine Learning Model for River Discharge Forecast: A Case Study of the Ottawa River in Canada. Hydrology , 2024; 11 (9): 151 DOI: 10.3390/hydrology11090151 Cite This Page : ...

Using a recently developed processing approach, these sensors can monitor river discharge changes. Among many other applications, stream flow data are important for drought monitoring, flood hazard ...

Farming has significantly changed the hydrology and chemistry of the Mississippi River, injecting more carbon dioxide into the river and raising river discharge during the past 50 years.