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Application of GIS for Predicting Quality of Underground Water for Drinking

100%
Günal M., Kösen A.
Acta Physica Polonica A
|
2015
|
vol. 128
|
issue 2B
B-107-B-109
EN
Gaziantep is located at the south-east part of Turkey. Drinking water needs of Gaziantep city are increased because of population in last decade. Some amounts of drinking water are supplied to Gaziantep from underground. Because of large amount of industrial areas and settlement, quality of ground water is decreased in years. Therefore governors of the city should know which part of the city has a potential of having good quality of drinkable underground water. In this study, 9 wells in the city centre area of Gaziantep city are determined and water samples were taken from these wells. Then water samples were analyzed in the laboratory of GASKİ (Gaziantep Water and Sewage Management). The laboratory results of underground water from each well are entered to ArcGIS program with the digital elevation map of Gaziantep to predict the quality of the underground water of Gaziantep. The ArcGIS program produced quality maps of drinkable water in Gaziantep. These maps show the dynamic and static water levels in the well, pH level, bromide, sulfate, free chlorine, hardness, turbidity, nitrate, and fluoride. This study shows that ArcGIS program is very useful tool to make the quality maps of groundwater for a specific area.
2
Content available remote

Experimental Investigation of Turbulent Flow Field at Downstream-Facing Round Nosed Pier

100%
Günal M., Ismael A.
Acta Physica Polonica A
|
2016
|
vol. 130
|
issue 1
126-127
EN
Bridge pier in a flow induce turbulence and vortices that increase the risk of sediment bed scouring. The turbulent flow field around downstream-facing round nosed pier in a scoured bed was examined experimentally. The opposite bridge pier was embedded in a non-uniform soil with d₅₀=1.45 mm and σ_{g} =3.16. Experiments were carried out under live-bed condition. Flow velocities were measured with acoustic Doppler velocimeter. Measurement was conducted at the pier front. Result shows that the time-average velocity field, turbulent intensities and turbulent kinetic energy at different depths and distances from the original bed level differs. These results are benefiting for validation of three-dimensional flow model and turbulence close to the bridge pier.
3
Content available remote

Cross-Drainage Culvert Design by Using GIS

81%
Günal M., Ay M., Günal A.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
595-598
EN
A culvert is a structure that allows water to flow under a road, railroad, trail, or similar obstruction, from one side to the other side. Typically embedded, so as to be surrounded by soil, a culvert may be made from a pipe, reinforced concrete or other material. In order to minimize the impact of a water crossing on the environment, culverts require the proper size, design and installation, to ensure that they do not cause downstream erosion, upstream flood, alter stream habitat or block organism passage. In this study, the size of a box culvert has been determined by getting more realistic maximum flow rates, by using data of a geographic information system. The results of this study have been compared with the rational method. The size of the culvert, which is calculated by using data from geographic information system will be more realistic and efficient, compared to the culvert, calculated by rational method.
4
Content available remote

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.
5
Content available remote

Local Scour around Group Bridge Pier with Different Shapes

81%
Günal M., Gelmeran T., Günal A.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
632-633
EN
This study is based on laboratory experiments for computing depth of local scour around group bridge pier, considering the effects of upstream flow conditions, size of pier, median size of bed material and spacing between bridge piers on the maximum scour depth and scour pattern around bridge piers. The study was conducted using a physical hydraulic model for bridge piers, operated under clear-water condition and using uniform cohesionless sand as bed material. Three different models of bridge piers, having different sizes were used for showing the effect of the size on the local scour.
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