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THE SIMULATION OF THE RAINFALL - RUNOFF IN REPRESENTATIVE HYDROGRAPHICAL BASIN

Badaluta-Minda Codruta, Andreea-Mihaela Dunca

First published: 2017-06-20https://doi.org/10.5593/sgem2017/31/s12.091View metrics

Abstract

In recent years the small hydrographical basins were affected by numerous extreme hydrological events. Genesis of floods from these hydrographical basins is linked primarily by climatic conditions and other factors such as: geology, soil by its temperature and its humidity, vegetation, topography trough slopes, shape and surface of the hydrographical basin, which influence the concentration time and water volume. Mike She model is able to simulate the entire stream flow. This paper is using Mike She Model for runoff simulation in representative hydrographical basin of Sebe? river, Timis river tributary, which is located in the west part of Romania. The representative basin Sebes has a small surface of 124 km2 and detains several gauging stations, where the program of hydro-meteorological measures is intense, which allows an easier identification of the influence that the atmospheric precipitations and the geological characteristics of the relief, soil and vegetation have on the runoff in this river basin. This model is based on the hydrological water balance, taking into account the inputs and outputs of the system (hydrographical basin). The input data and the thematic layers of topography, precipitation and soils were prepared in ArcGIS. At the end of this paper, the stimulated result is applied in order to analyze, the simulated runoff predictability in the experimental hydrographical basin Sebes.

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Publication details

Title
THE SIMULATION OF THE RAINFALL - RUNOFF IN REPRESENTATIVE HYDROGRAPHICAL BASIN
Authors
Badaluta-Minda Codruta, Andreea-Mihaela Dunca
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
723-728
SWS Citekey
Corduta201712723728
ISSN
1314-2704
ISBN
978-619-7408-04-1
Language
en
Publication type
Conference Paper
Keywords
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