Summer discharge CVs were not correlated with summer discharge means or discharge CVs for nonsummer periods, and not consistently correlated with the frequency of extreme low- or high-flow events, ...

A machine-learning tool developed by Mohamed Almetwally Ahmed and Sam Li provides accurate predictions for flood-prone areas As recent flooding in Spain and elsewhere revealed, every minute of ...

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 : ...

Forecasts for heavy rain due to cyclone Dana have prompted the upper dams of the Damodar Valley to scale up discharge after the Monday midnight hours, the senior hydrology officials stated today.

Chinese scientists have recently proposed a novel artificial intelligence (AI)-based model to address streamflow and flood forecasting at a global scale for both gauged and ungauged catchments ...

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 ...

Hydrologic modeling is a popular tool for estimating the hydrological response of a watershed. ... Q final = Peak discharge at 13.46 cm and 14.73 cm (10% and 20% more respectively) rainfall from 12.34 ...

As in many scientific fields, the application of isotope hydrology tools and analysis requires building capacity. When Hamid Marah first began working in the field of water resource management in ...

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 ...

In addition, changes to freshwater discharge from the continent whether by land management, climate driven rainfall or human-made modified freshwater discharge, have large impacts on shelf ...