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Identifying faults and revealing their characteristics are of great importance in terms of determining natural disaster risks, safe city infrastructure, stability of large engineering structures, groundwater and mineral zones. Faults form distinctive linear structures on the earth and these are usually easily distinguishable from the surface. Identification, mapping and related field studies of faults require a labor-intensive work. Aerial photographs, digital elevation models and aerial images are used to reduce the intensity of fieldwork and to detect the structural integrity of the larger area. There are not only faults in the land, but also many different linear structures such as roads, railroads and man-made fences that form a contrast. Remote sensing images are widely used in the detection and analysis of these lineaments. In this study, lineament analyzes were carried out using filtering, principal component analysis (PCA), band ratio and false color composite displaying, result linearity map and automatic lineament extraction methods on Landsat-7 (ETM+) satellite images as the basis. The results obtained were compared with the data obtained from field studies. [ABSTRACT FROM AUTHOR]

The mechanical properties are the most important factors determining the strength and usage areas of materials. It can be known from the mechanical properties that a wood material of which material group is in and which wood species it is. In this study, the mechanical properties of some important wood species such as alder (Alnus glutinosa subsp. Barbata), oriental beech (Fagus orientalis Lipsky), black poplar (Populus nigra), walnut (Juglans regia), oak (Quercus robur), chestnut (Castena sativa), cedar (Cedrus libani) and pine (Pinus) were modelled by using artificial neural networks. This study will assist in the determination of ideal wood material that meets the mechanical properties required for any construction. Thus, classifications related to wood species can be made more effectively in scientific studies and in trade. [ABSTRACT FROM AUTHOR]

This research aimed to assess radioactivity levels in tap water of Gümüşhane city, the Bahçecik village of Gümüşhane and the spring waters in the upland area of the village. It is important to find out if the radioactivity levels of the drinking water springs of this region constitute a public health hazard since a drinking water reservoir is planned for the city of Gümüşhane from these sources. The aggregate Alpha-Beta analysis of collected samples from local water sources have been done at The Küçükçekmece Atom Energy Institute of Turkey in İstanbul. The Gamma analysis has been done at the laboratories of Gumushane University. The obtained results showed that the lowest Alpha value in Bahçecik upland water springs was <10mBq/L and the highest Alpha value was <20 mBq/L while the total Beta level was determined as 13 ±1mBq/L and 50±10mBq/L. Total Alpha in the village fountain of Bahçecik has been determined as 40±10 mBq/L and in village tap water as <10mBq/L, while total Beta of samples from the village fountain has been found as 70±10mBq/L and from the village tap water as 50±10 mBq/L. Samples which were obtained from two points of Gümüşhane city tap water indicated total Alpha values of 30±10mBq/L and 40±10 mBq/L while total Beta values were 112±10mBq/L and 118±10 mBq/L each. The analysis showed that total Alpha and Beta values which have been found throughout all three local points in the area were below the levels of constituting a threat to human health. According to the results obtained from gamma analysis for Radium 4.6 mBq / L to 5.5 mBq / L, Thorium to 2.1 mBq / L to 3.6 mBq / L; Potassium in 91.25 mBq / L to 117.9 mBq / L was determined to be in range. The annual effective dose levels that have been calculated for these values are far below the annual effective reference dose levels of 0.100 mSv/y as determined by the World Health Organization. It has been found that radioactivity levels in Gümüşhane city tap water, in Bahçecik village tap water, and in the natural spring sources of Bahçecik village upland area are below the limits of constituting a health hazard for the public. [ABSTRACT FROM AUTHOR]

Determination of compensating for count losses for the correctness of analyses in spectrometric analysis of qualitative and quantitative use of x-gamma ray detectors are of importance. These counting losses in spectrometry are due to paralyzable and non-paralyzable system dead time. In this work, a computer program was developed for compensate to counts losses due to dead time. Experimental studies were performed to test of this program. This program was coded by DELPHI program compiler. The program consists of original dead time correction, peak search, graphics module, program interface, a report module. In this program, either corrected or uncorrected spectra is given the opportunity to examine separately. [ABSTRACT FROM AUTHOR]