- author = "Radu Drobot and Cristian Dinu and Aurelian Draghia and Mary Jeanne Adler and Ciprian Corbus and Marius Matreata",
- booktitle = "IEEE International Conference on Automation, Quality and Testing, Robotics",
- title = "Simplified approach for flood estimation and propagation",
- year = "2014",
- month = may,
- abstract = "The river basins and water management systems are characterised by a high degree of complexity. In order to find the best operation rules of the reservoirs during floods all other time consuming data processing (like flood wave propagation) should be simplified at maximum. For this purpose, the Genetic Programming (GP) approach was used. The GP transfer functions derived for flood propagation provide an excellent agreement with the floods propagation based on Saint Venant equations, but without time and other resources consuming. The synthetic floods of the ungauged tributaries keeping the same probability of exceedance along the main river were derived using regionalization studies. The proposed approach was tested for Sitna and Miletin river, two main tributaries of Jijia river.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/AQTR.2014.6857921",
-
notes = "Dept. of Hydrotechnic Eng., Tech. Univ. of Civil Eng.,
Bucharest, Romania
Also known as \cite{6857921}",
