Browsing by Author "Genc, Asli Numanoglu"

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Citation - WoS: 8
Citation - Scopus: 9
Modeling of Sediment Transport Processes in Alara, Turkey
(Gazi Univ, Fac Engineering Architecture, 2016) Genc, Asli Numanoglu; Department of Civil Engineering
There are various methods to investigate the effects of the coastal structures on coastal morphology. These can be grouped as physical and numerical models (numerical simulations). Since measurements of wave data are short term in Turkey, wind waves are hind casted by using long-term wind data. With the aid of numerical models, wave propagation from deep to shallow water can successfully be modeled, and the resulting currents from breaking waves, the amount longshore sediment transport and shoreline changes due to coastal structures can successfully be predicted. In this study, wind and wave induced coastal currents, and longshore sediment transport at the outlet of Alara River to Antalya Bay are modeled by using three dimensional hydrodynamic and transport numerical model HYDROTAM 3D. Wind and wave climate studies are based on the hourly data of Alanya Meteorological Station between the years 1970-2011. The model studies showed that the longshore sediment transport is along WestNorthWest (WNW)-EastSouthEast(ESE) direction. It is concluded that the net yearly sediment transport from east to west is 22237 m3.
Citation - WoS: 2
Citation - Scopus: 2
Risk Assessment of Sea Level Rise for Karasu Coastal Area, Turkey
(Mdpi, 2023) Eliawa, Ali; Genc, Asli Numanoglu; Tora, Hakan; Maras, Hadi Hakan; Department of Civil Engineering; Airframe and Powerplant Maintenance
Sea Level Rise (SLR) due to global warming is becoming a more pressing issue for coastal zones. This paper presents an overall analysis to assess the risk of a low-lying coastal area in Karasu, Turkey. For SLR scenarios of 1 m, 2 m, and 3 m by 2100, inundation levels were visualized using Digital Elevation Model (DEM). The eight-side rule is applied as an algorithm through Geographic Information System (GIS) using ArcMap software with high-resolution DEM data generated by eleven 1:5000 scale topographic maps. The outcomes of GIS-based inundation maps indicated 1.40%, 6.02%, and 29.27% of the total land area by 1 m, 2 m, and 3 m SLR scenarios, respectively. Risk maps have shown that water bodies, low-lying urban areas, arable land, and beach areas have a higher risk at 1 m. In a 2 m scenario, along with the risk of the 1 m scenario, forests become at risk as well. For the 3 m scenario, almost all the territorial features of the Karasu coast are found to be inundated. The effect of SLR scenarios based on population and Gross Domestic Product (GDP) is also analyzed. It is found that the 2 and 3 m scenarios lead to a much higher risk compared to the 1 m scenario. The combined hazard-vulnerability data shows that estuarine areas on the west and east of the Karasu region have a medium vulnerability. These results provide primary assessment data for the Karasu region for the decision-makers to enhance land use policies and coastal management plans.