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Determination of Geomorphological Parameters of Damlıca Basin Using GIS

100%
Günal A., Güven A.
Acta Physica Polonica A
|
2015
|
vol. 128
|
issue 2B
B-222-B-224
EN
In this study, the geomorphologic parameters of Damlıca basin are determined by using Geographic Information Systems (GIS). The digital elevation model (DEM) of the basin is downloaded from Aster-GDEM web page and this digital map is used in the GIS computer program to obtain the geomorphologic parameters of the Damlıca basin, such as the area of the basin, its perimeter, river length, slope, etc. The extracted parameters are compared with the parameters obtained by conventional methods. This study shows that the geomorphologic parameters of the Damlıca basin obtained using GIS are much more precise than those produced by conventional methods.
2
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Synthetic Unit Hydrograph of Small Catchments by Using GIS

100%
Günal A., Güven A.
Acta Physica Polonica A
|
2016
|
vol. 130
|
issue 1
130-132
EN
In this study, synthetic unit hydrograph parameters which are q_{p}, t_{p}, t_{b} are calculated by using Synder, Mockus, SCS (Soil Conservation Service) and DSI (State Hydraulic Works) methods. First according to observed data, calculations were done. Then the mentioned above methods, which are based on both topographic map and geographic information systems values, were applied. Three catchments, Damlıca, Vize, Kumdere were studied. Synder, Mockus, SCS and DSI methods were applied for each catchment.
3
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Multi-Output Neural Networks for Estimation of Synthetic Unit Hydrograph Parameters: A Case Study of a Catchment in Turkey

81%
Güven A., Günal A., Günal M.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
591-594
EN
For developing unit hydrographs of catchments, the detailed information about the rainfall and the resulting flood hydrographs are needed. Such information, however, is available only for a few locations and for the remote locations such information is normally very scanty. In this study, Snyder based synthetic unit hydrographs were developed by using both, the digitized map and the digital elevation model of a case study of a small catchment in Turkey. Multi-output neural network technique was applied to predict three unit hydrograph parameters: peak discharge q_{p}, time to peak t_{p} and time base t_{b} of a number of unit hydrographs observed in the catchment, based on most relevant geomorphological and meteorological parameters. Multi-output neural network was observed to outperform the conventional synthetic unit hydrograph methods. The advantage of the proposed multi-output neural network is based on the fact that it predicts the three parameters of the unit hydrograph, based on a single model, compared to the conventional neural network technique, which utilizes a model for each parameter.
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