scholarly journals Obesity Prevelance in West Black Sea Region: The Melen Study

2012 ◽  
Vol 16 (3) ◽  
pp. 52-57 ◽  
Author(s):  
... ...
Keyword(s):  
Black Sea ◽  
Black Sea Region ◽  
West Black Sea ◽  
West Black Sea Region

scholarly journals Contribution to the Knowledge on Distribution of Tardigrada in Turkey

Diversity ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 95 ◽  
Author(s):  
Duygu Berdi ◽  
Ahmet Altındağ
Keyword(s):  
Black Sea ◽  
Geographic Distribution ◽  
New Records ◽  
Species Number ◽  
Northern Coast ◽  
Black Sea Region ◽  
West Black Sea ◽  
A Current ◽  
West Black Sea Region

Tardigrades have been occasionally studied in Turkey since 1973. However, species number and distribution remain poorly known. In this study, distribution of Tardigrades in the province of Karabük, which is located in northern coast (West Black Sea Region) of Turkey, was carried out. Two moss samples were collected from the entrance of the Bulak (Mencilis) Cave. A total of 30 specimens and 14 eggs were extracted. Among the specimens; Echiniscus granulatus (Doyère, 1840) and Diaforobiotus islandicus islandicus (Richters, 1904) are new records for Karabük. Furthermore, this study also provides a current checklist of tardigrade species reported from Turkey, indicating their localities, geographic distribution and taxonomical comments.

Seroprevalence of Q fever in a district located in the west Black Sea region of Turkey

2010 ◽  
Vol 29 (4) ◽  
pp. 465-469 ◽  
Author(s):  
A. Gozalan ◽  
J. M. Rolain ◽  
M. Ertek ◽  
E. Angelakis ◽  
N. Coplu ◽  
...  
Keyword(s):  
Black Sea ◽  
Q Fever ◽  
The West ◽  
Black Sea Region ◽  
West Black Sea ◽  
West Black Sea Region

scholarly journals Scythian barrow 12 of the «Sluiceway» Group in the Lower Dniester

Eminak ◽  
2021 ◽  
pp. 253-267
Author(s):  
Vitalij Sinika ◽  
Nicolai Telnov ◽  
Sergey Lysenko ◽  
Sergey Razumov
Keyword(s):  
Material Culture ◽  
Black Sea ◽  
Type I ◽  
Left Bank ◽  
Black Sea Region ◽  
North West ◽  
The North ◽  
West Black Sea ◽  
West Black Sea Region

The article publishes and analyzes the materials obtained in the study of the barrow 12 of the «Sluiceway» («Vodovod») group near the Glinoe village, Slobodzeya district, on the left bank of the Lower Dniester. The grave in a catacomb of the type I (undercut) was the main under the mound, and three other in the pits were secondary. A similar situation is extremely rarely recorded in the North-West Black Sea region. The construction of round cult pits accompanying the main burial is also noteworthy. The handmade pot with a beak from the children’s burial indicates the manufacture of special dishes designed for dispensing food during feeding. The finding of the miniature bracelet with a plate receiver in the burial of a child, apparently, indicates the Thracian influence on the material culture of the Scythians of the North-West Black Sea Region, at least from the second half of the 4th century BC. It was at this time that the published mound was built and graves were made under its mound. Materials from the barrow Glinoe / «Sluiceway» 12 and other, later, Scythian burials on the left bank of the Lower Dniester demonstrate that the Scythian culture of the North-West Black Sea region continues to maintain its originality not only in the second half of the 4th century BC, but also in the next two centuries.

scholarly journals Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks

2005 ◽  
Vol 5 (6) ◽  
pp. 979-992 ◽  
Author(s):  
M. Ercanoglu
Keyword(s):  
Black Sea ◽  
Landslide Susceptibility ◽  
Landslide Inventory ◽  
The West ◽  
Data Set ◽  
Black Sea Region ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
West Black Sea ◽  
West Black Sea Region

Abstract. Landslides are significant natural hazards in Turkey, second only to earthquakes with respect to economic losses and casualties. The West Black Sea region of Turkey is known as one of the most landslide-prone regions in the country. The work presented in this paper is aimed at evaluating landslide susceptibility in a selected area in the West Black Sea region using Artificial Neural Network (ANN) method. A total of 317 landslides were identified and mapped in the area by extensive field work and by use of air photo interpretations to build a landslide inventory map. A landslide database was then derived automatically from the landslide inventory map. To evaluate landslide susceptibility, six input parameters (slope angle, slope aspect, topographical elevation, topographical shape, wetness index, and vegetation index) were used. To obtain maps of these parameters, Digital Elevation Model (DEM) and ASTER satellite imagery of the study area were used. At the first stage, all data were normalized in [0, 1] interval, and parameter effects on landslide occurrence were expressed using Statistical Index values (Wi). Then, landslide susceptibility analyses were performed using an ANN. Finally, performance of the resulting map and the applied methodology is discussed relative to performance indicators, such as predicted areal extent of landslides and the strength of relation (rij) value. Much of the areal extents of the landslides (87.2%) were classified as susceptible to landsliding, and rij value of 0.85 showed a high degree of similarity. In addition to these, at the final stage, an independent validation strategy was followed by dividing the landslide data set into two parts and 82.5% of the validation data set was found to be correctly classified as landslide susceptible areas. According to these results, it is concluded that the map produced by the ANN is reliable and methodology applied in the study produced high performance, and satisfactory results.

scholarly journals Effects of some watershed characteristics on water yield in the West Black Sea Region of northern Turkey

2017 ◽  
Vol 38 (3) ◽  
pp. 479-486
Author(s):  
Hayati Zengin ◽  
Mehmet Özcan ◽  
Ahmet Salih Degermenci ◽  
Tarik Citgez
Keyword(s):  
Black Sea ◽  
Water Yield ◽  
The West ◽  
Watershed Characteristics ◽  
Black Sea Region ◽  
West Black Sea ◽  
West Black Sea Region
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