Establishing a reliable rating curve is an integral part of water resource engineering. The
present paper is a review of data driven techniques used for modelling the stage discharge …

This case study describes an economically feasible approach to generate synthetic rating
curves that enhance utility of stage-only river gauges. The study is based on a network of …

Flood inundation modeling is crucial for analyzing floods and understanding the impact of
rainfall on runoff. Traditional hydraulic models require substantial data and technical skill …

The forecasting accuracy of downstream water levels greatly impacts the economic
operation of reregulating hydropower stations. If present, large errors in water level …

The multi-stage compound channel, which is a common pattern in natural alluvial rivers and
the regulation projects of urban rivers, inevitably freezes in winter when it is situated in cold …

Accurate estimation of discharge in rivers forms the basis of efficient flood management and
surface water planning. However, continuous measurement of discharge in a stream is …

 e Brazilian hydrological information network does not provide data series of daily
velocities. e river velocities are important for the study of hydrokinetic potential. erefore …

Determining discharge and stage–discharge curves in fluvial environments without
hydrometric gauges is a critical challenge in hydrologic studies and river hydraulics. This …

This study evaluates several machine learning (ML) models for estimating streamflow in the
Osage River, Missouri, USA, and the Severn River, UK, using hydraulic input variables …

Estimating river flow is a critical step for planning and managing water resources. Since
direct streamflow measurement is complex and time-consuming, managers rely on rating …