In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water level (stage) and discharge. ANN and M5 model trees were used to reconstruct this relationship on an example of an Indian river. The predictive accuracy of these machine learning methods models was found to be superior t...

ABSTRACT Maximum flows are often estimated from flood frequency analysis, by means of the statistical fitting a theoretical probability distribution to maximum annual flow data. However, because limitations imposed practice at-site measurement, empirical models applied as rating curve for estimating streamflow. These curves approximations actual and incorporate different sources uncertainty, es...

ABSTRACT Understanding the hydrosedimentological dynamics of tropical rivers is a challenge in Amazon due to its remote and difficult-to-access areas. This study was based on data collected from 16 control sections 6 subbasins that make up Itacaiúnas River Watershed (IRW), with 4 annual campaigns (high water levels, rising falling low levels) between 2015 2019, aim constructing comparing sedime...