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Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
No full textLandslides cause loss of lives and serious material damage almost every year around the world. In Turkey, risks related to landslides increase due to the combined effects of climate change, deforestation, uncontrolled urbanization and improper land use. Artvin is among the cities where landslides occur most frequently due to its topographical and geological characteristics. In the present study, landslide susceptibility of the Central district of Artvin was evaluated using the frequency ratio (FR) and modified information value (MIV) models. In the study, ten parameters affecting the occurrence of landslides were considered. 70% of the landslide inventories were utilized to create susceptibility maps, and the remaining 30% were utilized for validation. The success and prediction capabilities of the models were assessed using the receiver operating characteristics curve and area under the curve. The success rates of the MIV and FR models were calculated as 88% and 84.9%, respectively, and the prediction rates were computed as 82.7% and 81.9%, correspondingly. The MIV model showed a slightly better performance compared to the FR model in terms of prediction and success rates. It was also determined that most of the village built-up areas, as well as the majority of the planned areas of the Artvin Municipality and majority of the public and private buildings within the municipal boundaries, were located in landslide susceptible zones. Therefore, the outcomes of the present study may assist local administrators, planners, and engineers in reducing the damage caused by landslides and planning the optimal land use
Exploring the association between social media addiction and relationship satisfaction: psychological distress as a mediator
Get PDFSocial media use has become part of daily life for many people. Earlier research showed
that problematic social media use is associated with psychological distress and relationship
satisfaction. The aim of the present study was to examine the mediating role of psychological distress in the relationship between social media addiction (SMA) and romantic relationship satisfaction (RS). Participants comprised 334 undergraduates from four mid-sized
universities in Turkey who completed an ofine survey. The survey included the Relationship Assessment Scale, the Social Media Disorder Scale, and the Depression Anxiety and
Stress Scale. According to the results, there were signifcant correlations between all variables. The results also indicated that depression, anxiety, and stress partially mediated the
impact of SMA on RS. Moreover, utilizing the bootstrapping procedure the study found
signifcant associations between SMA and RS via psychological distress. Consequently,
reducing social media use may help couples deal with romantic relationship dissatisfaction,
thereby mitigating their depression, anxiety, and stress
Anatomical structure and degradation characteristics of bioincised oriental spruce wood by Physisporinus vitreus
No full textThis study is a part of a Ph.D. study at Istanbul University-Cerrahpasa, Istanbul, Turkey, and financially supported by The Scientific and Technological Research Council of Turkey (TUBITAK) (Project No: 115O934) and The Coordination Unit for Scientific Research Projects (BAP), Istanbul University-Cerrahpasa (Project No: 24880).Even though oriental spruce (Picea orientalis L.), a common species in the East Black Sea Region of Turkey, is used in a wide range of applications, its wood has low permeability. This study investigated the degradation effects of the bioincising process to improve its treatability with wood preservatives on the microstructure of oriental spruce wood. Test samples were previously subjected to bioincising by Physisporinus vitreus fungus, and the bioincised samples were examined under both a light microscope and scanning electron microscope to observe the effects of the bioincising on the anatomical properties. Bordered pits on the longitudinal tracheid radial walls, piceoid-type cross-field pits, ray tracheid bordered pits, and ray tracheid cell walls in the earlywood and latewood regions within a growth ring were particularly subjected to anatomical evaluations. In the study, the degradation intensity in the samples after the bioincising was well correlated with the weight losses occurred. Splits and factures were determined on the tori of bordered pits on the tracheid cell walls while tears and cracks were present on the pit apertures. The results also show that P. vitreus, a Type I and II white rot fungus, may cause a Type I soft rot
Cyclic shear displacement model for reinforced concrete columns
No full textLateral response of reinforced concrete (RC) columns can be modeled and simulated considering three displacement components: flexural displacement, displacement due to slippage of longitudinal bars at column ends, and shear displacement. The incorporation of shear displacement in a computational model is essential for accurate calculation of lateral load–displacement relationship. The contribution of shear displacement can be significant for RC columns with low displacement capacity or ductility. An easy-to-apply shear displacement model is proposed in this study, and implemented in the open source software, OpenSees. The proposed model is based on a pre-defined envelope or monotonic model and does not require updating of modeling parameters during each cycle. The model is validated using experimental data. New rules are developed for the cyclic model to capture the effects of cracking and change in stiffness and strength during the loading and unloading cycles. Comparison of the calculated and measured shear displacements indicates that the cyclic shear response can be captured by the proposed model
Amasya kenti turizm planlamasının GZFT analizi ile değerlendirilmesi
Get PDFWith its natural, historical, and cultural resources, the city of Amasya offers very valuable potential in
terms of tourism. The city center was taken under the protection of the ‘Tourism Incentive Law’ (no.
2634) in 1982. The most notable parts of this potential include the historical texture of the city center
in particular and the areas where nature tourism and thermal tourism are carried out in the vicinity of
the city. However, in addition to the positive aspects of the city in terms of tourism, there are also
negative factors such as the inefficient use of resources, insufficient publicity, and lack of tourism
planning. In order to determine the tourism potential of the city of Amasya, this study, by using a SWOT
analysis, aimed to reveal the strengths and weaknesses of the city in the field of tourism as well as its
opportunities and the threats that it faces. For this purpose, first, a literature review was carried out,
followed by a field study, and the current situation and the types of tourism in the city were determined.
Using this information, a survey consisting of four questions was prepared. In order to evaluate the
SWOT survey objectively, a workshop entitled ‘Evaluation of Amasya City Landscape Components in
Terms of Tourism (AKPBTAD)’ was held at the Büyük Amasya Hotel on 26 June 2018, with tourismrelated stakeholders in attendance. Participants included the provincial governor, the university rector,
representatives from various public institutions, hotel operators, tourism association officials, tourist
guides, neighborhood representatives, self-employed individuals, and academicians. The SWOT survey
was conducted through face-to-face interviews with a total of 95 of these experts. The frequency
(percentage) values of the SWOT survey responses were calculated using the SPSS 16.0 program. The
findings included recommendations for improving the city of Amasya in terms of tourism planning.Amasya kenti sahip olduğu doğal, tarihi ve kültürel değerleri ile turizm açısından oldukça önemli bir
potansiyele sahiptir. Özellikle kent merkezinde 1982 yılında 2634 sayılı ‘Turizmi Teşvik Yasası’
kapsamında koruma altına alınan tarihi doku ile kentin yakın çevresinde doğa turizmi, termal turizm
yapılan alanlar bu zenginliğin en önemli parçalarını oluşturmaktadır. Ancak kentin turizm açısından
sahip olduğu olumlu yönlerin yanında, kaynakların etkin kullanılmaması, tanıtımın yeterince
yapılmaması ve turizm planlamasının olmaması gibi olumsuz yönleri de bulunmaktadır. Bu çalışmada;
Amasya kentinde gerçekleştirilen turizm potansiyelini belirleyerek kentin turizm alanında güçlü ve zayıf
yönleri ile fırsatları ve karşı karşıya bulunduğu tehdit unsurlarını GZFT analizi ile ortaya koymak
amaçlanmıştır. Bu amaç doğrultusunda öncelikle literatür taraması ile arazi çalışması yapılarak mevcut
durum tespiti ve kentte gerçekleştirilen turizm türleri ortaya konulmuştur. Elde edilen bilgiler
çerçevesinde, 4 sorudan oluşan GZFT (Güçlü ve Zayıf Yönler, Fırsatlar, Tehditler) anketi hazırlanmıştır.
GZFT anketinin nesnel bir şekilde değerlendirilmesi için turizmle ilgili paydaşların (vali, rektör, çeşitli
kamu kurumlarından temsilciler, otel işletmecileri, turizm derneği işletmecileri, turist rehberleri,
mahalle muhtarları, serbest meslek çalışanları, akademisyenler) katılımıyla 26 Haziran 2018 tarihinde
Büyük Amasya Oteli’nde ‘Amasya Kenti Peyzaj Bileşenlerinin Turizm Açısından Değerlendirilmesi
(AKPBTAD)’ çalıştayı gerçekleştirilmiştir. GZFT anketi toplam 95 uzman kişi ile yüz yüze görüşme
yapılarak gerçekleştirilmiştir. GZFT anketi sorularına verilen cevapların frekans (yüzde) değerleri SPSS
16.0 programı kullanılarak hesaplanmıştır. Bulgular dâhilinde Amasya kentinin turizm planlaması
açısından iyileştirilmesine yönelik önerilerde bulunulmuştur
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
No full textLandslide susceptibility maps provide crucial information that helps local authorities, public institutions, and land-use planners make the correct decisions when they are managing landslide-prone areas. In recent years, machine-learning techniques have become very
popular for producing landslide susceptibility maps. This study aims to compare the performance of these machine learning models with the traditional statistical methods used
to produce landslide susceptibility maps. The landslide susceptibility for Ardanuc, Turkey
was evaluated using three models: logistic regression (LR), support vector machine (SVM),
and random forest (RF). Ten parameters that are efective in landslide occurrence are used
in this study. The accuracy and prediction capabilities of the models were assessed using
both the receiver operating characteristic (ROC) curve and area under the curve (AUC)
methods. According to the AUC method, the success rate of the LR, SVM, and RF models
was 83.1%, 93.2%, and 98.3%, respectively. Further, the prediction rates were calculated as
82.9% (LR), 92.8% (SVM), and 97.7% (RF). According to the verifcation results, RF and
SVM models outperformed the traditional LR model in terms of success and prediction
rate. The RF model, however, performed better than the SVM model in terms of success
and prediction rates. The landslide susceptibility maps produced as a result of this study
can guide city planners, local administrators, and public institutions related to disaster
management to prevent and reduce landslide hazards.This study was supported by the Scientific Research Projects Office of Artvin Coruh University (ACuBAP) (Scientific Research Project No. 2019. F40.02.01)
The use of portable winch for forest harvesting operations in Pinus pinaster plantation areas
Get PDFÜlke nüfusunun artışına paralel olarak odun üretim miktarlarında da son yıllarda önemli artışlar
görülmektedir. Odun üretim miktarlarında ortaya çıkan bu artış üretim çalışmalarında da yeniliklere
gitmeyi zorunlu kılmaktadır. Özellikle odun üretim çalışmalarında taşınabilir ve düşük maliyetli yeni
teknolojilerin ve makinelerin kullanımı önemli bir hal almıştır. Bu makineler arasında el vinçleri son
yıllarda ülkemizde ve dünya ormancılık çalışmalarında da kullanılmaya başlanmıştır. Bu vinçler
kurulumu ve sökülmesi yanında kullanım açısından da çok kullanışlı makinelerdir. Bu çalışmada,
İstanbul Orman Bölge Müdürlüğü’ne bağlı Sarıyer Orman İşletme Şefliği sınırları içerisinde yer alan
Sahilçamı plantasyon sahalarında el vincinin kullanımı incelenmiştir. Çalışmalar sonucunda el vincinin
ortalama 50 metrelik sürütme mesafesinde saatlik verimi 1.10 m3/sa ve günlük verimi 8.80 m3/gün
olarak bulunmuştur. El vincinin saatlik yakıt tüketimi ise 1.4 lt/sa olarak belirlenmiştir.In parallel with the increase in the population in Turkey, there has been a significant increase in the
amount of wood production in recent years. This increase, which occurs in the amount of wood
production, makes it imperative to innovate in production of forest products. Especially in wood
production, the use of portable and low-cost new technologies and machines has become important.
Among these machines, portable winches have been used in forest operations in the world and in
Turkey as well in recent years. These winches are very useful machines in terms of installation and
uninstallation. In this study, the use of portable winch in the Sahilçamı plantation areas within the
boundaries of Sarıyer Forest Operation Directorate affiliated to the Istanbul Forest Regional
Directorate has been examined. As a result of the studies, the hourly yield of the portable winch at an
average skid distance of 50 meters was found as 1.110 m3/hr and the daily yield was found as 8.800
m3/day. Hourly fuel consumption of the hand winch was determined as 1.4 lt/h
[Book Review]: Film and Identity in Kazakhstan: Soviet and Post-Soviet Culture in Central Asia
No full textNo Abstract Availabl
A study on the flora of some natural and cultural sites of Hatay province (Turkey)
Get PDFBu araştırma 2015-2016 yılları arasında Hatay ilinde bulunan; Erzin Doğal Sit Alanı, Gölbaşı Gölü,
Habib-i Neccar Dağı ve Antakya Kalesi, Saint Pierre Kilisesi ve Harabeleri, Harbiye Şelaleleri ve Yenişehir
Gölü çalışma alanlarını kapsamaktadır. Araştırma sonucunda 52 familyaya ait, 129 cins, 108 tür, 25
alttür ve 22 varyete olmak üzere, toplam 155 takson belirlenmiştir. Araştırma alanında belirlenen
taksonlardan 7 tanesi endemik olup, endemizm oranı %4.5'dir. Çalışma alanında belirlenen taksonların
fitocoğrafik bölgelere dağılımı şu şekildedir; Akdeniz (Doğu Akdeniz dâhil) 57 takson (%36.8), İranTuran 7 takson (%4.5), Avrupa-Sibirya 6 takson (%3.9), geniş yayılışlı 37 takson (%23.9) ve bilinmeyen
48 (%30.9) taksondur. Çalışma alanında takson sayısı bakımından en büyük familyalar Fabaceae (22),
Lamiaceae (15), Asteraceae (13) ve Liliaceae (9)' dir. Çalışma alanında takson sayısı bakımından en
büyük cinsler Vicia (4), Silene (3), Stachys (3), Quercus (3), Salvia (3) ve Muscari (3)'dir.This research was conducted between 2015-2016. Study areas are; Erzin Natural Protected Area,
Gölbaşı Lake, Habib-i Neccar Mountain and Antakya Castle, Saint Pierre Church and Harebs, the
Harbiye Waterfalls and Yenişehir Lake located in Hatay province (Turkey). As a result of the research,
155 taxa belonging to 52 families, 129 genera, 108 species, 25 subspecies and 22 varieties were
determined. 7 taxa identified in the research area are endemic and the rate of endemism is 4.5%. The
distribution of taxa determined in the study area to phytogeographical regions is as follows;
Mediterranean (including Eastern Mediterranean) 57 taxa (36.8%), Iran-Turan 7 taxa (4.5%), EuroSiberian 6 taxa (3.9%), 37 widespread taxa (23.9%) and 48 (30.9%) unknown taxa. Fabaceae (22),
Lamiaceae (15), Asteraceae (13) and Liliaceae (9) are the largest families in terms of taxa’s numbers
in the study area. Vicia (4), Silene (3), Stachys(3), Quercus(3), Salvia (3) and Muscari (3) are the largest
genera in terms of taxa’s number in the study area
Transmuted unit rayleigh quantile regression model: alternative to beta and kumaraswamy quantile regression models
No full textIn this paper, a new alternative unit distribution is presented. It consists of applying the quadratic transmutation scheme with the unit Rayleigh distribution. The quantile regression model of the proposed distribution is developed, as well as the maximum likelihood estimation of the unknown regression model parameters. We consider a real data application that links a measure of the educational attainment of OECD (Organization for Economic Co-operation and Development) countries with some of their Better Life Index such as life satisfaction, homicide rate, and voter turnout. It is shown that the proposed quantile regression model provides a better fit than well-known regression models in the literature when the unit response variable has skewed observations and outliers