The present study evaluates the dynamic behaviour of the Ermenek Dam, the second highest dam in Turkey, based on conventional geodetic measurements and Finite Element Model (FEM) analyses during its first filling period. In total, eight periods of measured deformation are considered from the end of construction until the reservoir reached its full capacity. The displacement response of the dam to the reservoir level and to seasonal temperature variations is examined in detail. Time series of apparent total displacements at the middle of the crest of the dam exhibits periodicity and linear trends. Correlation analysis revealed that periodic and linear displacement responses of the dam are related to variations of seasonal temperature and linearly increased reservoir level, respectively, indicating a relation between temperature, water load and dam deformation. It is also concluded that measured deformations based on geodetic data show good agreement with the predicted deformation obtained by the FEM analysis.
Precise levelling method has been used for the determination of precise height for many years. The application of this technique is difficult, time consuming and expensive especially in rough terrains. These difficulties have forced researchers to examine alternative methods of height determination.As a result of modern technological developments for high-tech instruments, research of the precision trigonometric levelling has been required once again. In this study, simultaneous-reciprocal trigonometric levelling (SRTL) method is applied with different sight distances in order to determine optimum sight distances using a sample test network in Selcuk University Campus, Konya, Turkey. The results are compared with precise geometric levelling in terms of precision, cost and feasibility. SRTL method for sight distance S=200m resulted with the standard deviations of / ±1.86 mm km and with the production speed of 4 km/day.
İnsanoğlu yaşadığı her dönemde yeryüzünde bulunduğu yeri bilmek istemiştir. Bu merakı gidermeye yönelik olarak ilk çağlarda kullanılan ilkel konum belirleme yöntemlerinden, günümüz teknolojik gelişmeleri sayesinde uydular yardımıyla dört boyutlu (4D) konum belirleme noktasına gelinmiştir. Konum belirlemelerine yeni bir anlayış getiren Uydu Konum Belirleme sistemleri (Global Navigation Satellite Systems-GNSS), arama-kurtarma, hedef bulma, uçakların görüşün sınırlı yada hiç olmadığı hava koşullarında iniş ve kalkışı gibi askeri alanlarda, her türlü kara, deniz ve hava araçlarının navigasyonu, Jeodezik ve Jeodinamik ölçmeler, kadastral ölçmeler, deformasyon ölçmeleri, araç takip sistemleri, turizm, tarım, ormancılık, spor, güvenlik, hidrografik çalışmalar ve CBS uygulamaları gibi bir çok sivil alanda etkin olarak kullanılmaktadır. Bu çalışmada, halen kullanılmakta olan ve yapım aşamasında olan Küresel ve Bölgesel Uydu Konum Belirleme Sistemlerinin güncel durumu ve geleceği hakkında detaylı bilgiler verilmiştir.
In order to adopt measures for storing more water in reservoirs, lakes and ponds; to prevent water pollution, protect water sources and extend the service life of these facilities, it is important for manager (Municipalities, Directorates of the State Hydraulic Works (DSHW), Irrigation Unions etc.) to know the current topographic conditions and any changes in the storage capacities of these facilities. This study aimed to identify the updated topographic and bathymetric data required for the efficient management and usage of Altınapa reservoir, changes in surface area and volume of the facility, and to form a Reservoir Information System (RIS). Two digital elevation models, from 2009 and 1984, were used to determine changes in the storage capacity of the reservoir. The calculations indicated that, within this 25-year period, the storage capacity of the reservoir decreased by 12.7% due to sedimentation. A Dam Information System (RIS) was developed from a wide range of data sources, including topographic and bathymetric data of the reservoir and its surrounding area, data on specific features such as plant cover, water quality characteristics (Temperature, Dissolved Oxygen (DO), Secchi Disk Depth (SDD) and pH), geological structure, average water level, water supplied from springs, evaporation value of the reservoir, and precipitation.
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