As an emerging non-contact method of flow monitoring, radar technology compensates for the shortcomings traditional methods in terms efficiency, timeliness, and difficulty monitoring high floods, can provide accurate measurement results, making it one most promising future. This paper describes detail workflow from data acquisition to calculation; compares analyzes current state-of-the-art sign...

In the past two decades, data-driven modeling has become a popular approach for different tasks. This paper presents an evaluation of performance five widely used approaches (i.e., generalized linear model, lasso regression, support vector machine, neural networks, and random forest) Etobicoke Creek watershed in Ontario, Canada. The models are built with eleven years meteorological hydrometric ...

In this article, we also consider the results of studying problems and prospects for use educational research stands Department Hydropower Hydraulics information technologies to provide modelling physical processes environmental monitoring. This will improve methodology education energy engineers implement program measures further development renewable in Uzbekistan. As an example such approach...

Abstract In order to develop measures for the rational use and protection of water resources, information on characteristics bodies is needed. The flow in river most important hydrological characteristic, which used various calculations. practice activities, determination calculated carried out quite often conditions insufficient data from hydrometric observations or their complete absence. Thi...

Abstract In this study, the data at Idenak hydrometric station were used to predict inflow Maroun Dam reservoir. For purpose, different models such as artificial intelligence, Holt-Winters and hybrid used. Partial mutual information algorithm was determine input parameters affecting modeling monthly by intelligence models. According Hempel Akaike criterion, we introduced with a 3-month lag, tem...

Runoff is one of the most important components hydrological cycle, and having complete series runoff data essential for any modelling process. This study aims to estimate at Al-Jawadiyah hydrometric station using artificial neural networks. used only in addition values measured Al-Amiri on Syrian-Lebanese border. Many experiments were conducted a very large number networks trained with changing...