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Bulunan: 10 Adet 0.001 sn
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Filtreler
Filtreler
Bulunan: 10 Adet 0.001 sn
Yayın Tarihi : 2017 ✕Yazar/lar : DEMİR, Vahdettin ✕
Koleksiyon [3]
İlgili Araştırmacılar [17]
Ambargo Durumu [1]
Tam Metin [2]
Yayın Türü [3]
Yazar/lar [17]
Atıf Dizini [3]
Konu Başlıkları [18]
Yayıncı [10]
Yayın Tarihi [1]
Yayın Dili [2]
Erişime Açık

Drought and Flood Analyses of Samsun City

DEMİR, Vahdettin | BİLGE, Hümeyra | SEVİMLİ, Mehmet Faik

The aim of this study is to analyze the flood and drought based on precipitation and streamflow data gathered from Samsun City, the most developed province of the Black Sea Region. Flood and drought analysis are important for the water resources management and important for anticipating the natural disasters that may occur in Samsun. The study has been carried out in two parts. In the first part, streamflow data, covering the period from 1964 to 2015, provided by the Current Observation Station, which is the most powerful parameter causing flood, was investigated for flood analysis by Mann-Ken ...Daha fazlası

Konferans Bildirisi 2017 International Conference on Civil and Environmental Engineering 5 Görüntülenme
Erişime Açık

Numerical modeling of Samsun Mert River floods

ÜLKE, Aslı | BEDEN, Neslihan | DEMİR, Vahdettin | MENEK, Necati

Floods are considered one of the most important natural disasters after earthquakes in Turkey. As a result, there is currently great public interest in this issue and it is necessary to intensify research activities in order to understand natural disasters better and to reinforce risk management. The effect of climate change on meteorological events causes an increase in extreme events such as excessive precipitation in some regions. An extreme natural event becomes a disaster when it has a large impact on human settlements and activities. Study area Samsun city is placed in the north of Turke ...Daha fazlası

Makale 2017 European Water 4 Görüntülenme
Erişime Açık

Trend Analysis of Precipitation, Temperature and Wind Data in Samsun (Turkey)

ÜLKE, Aslı | BEDEN, Neslihan | DEMİR, Vahdettin

Climate change effects have been remarkably perceived today; the determination of trends in precipitation, stream flow, winds, evaporation, and temperatures has become considerable for the planning and management of water resources and engineering projects. Nowadays there is a lot of studies have been made in progress on global and regional climate changes in literature. The objective of this study is to analyze monthly, annual and seasonal trends in average temperature, total precipitation, and average wind data by Mann- Kendall, linear trend and Sen’s Trend tests. The data sets are obtained ...Daha fazlası

Konferans Bildirisi 2017 IWA 2nd Regional Symposium on Water, Wastewater and Environment 5 Görüntülenme
Erişime Açık

Flood Modeling by GIS Tools

BEDEN, Neslihan | DEMİR, Vahdettin | ÜLKE, Aslı

In this study flood risks of Samsun Degirmen stream determinate by MIKE 11 and GIS. In this study, MIKE powered by DHI software used for numerical 1D modeling of study area. The hydrological and hydraulic data for the study area were obtained from the Turkish General Directorate of State Hydraulic Works. ArcGIS program was used for creating a triangulated irregular network data (TIN). The flood inundation maps demonstrated that some areas, from the upstream to downstream of the Degirmen stream basin is affected from 100 year and 500 year return period events.

Konferans Bildirisi 2017 International Symposium on Multidisciplinary Studies and Innovative Technologies 4 Görüntülenme
Erişime Açık

Impacts of climatic variables on water-level variations in two shallow Eastern Mediterranean lakes

YAĞBASAN, Özlem | YAZICIGİL, Hasan | DEMİR, Vahdettin

Variations in temperature and precipitation have direct impacts on the physical, chemical and biological characteristics of the shallow lakes. This paper examines the possible linkages between climate variables and the water levels of shallow interconnected Lakes Mogan and Eymir, located 20 km south of Ankara in Central Anatolia. The variations in the lakes' water levels during 1996-2015 are studied and the impacts of climate variables on the lake levels are assessed to address the long-term consequences. The nonparametric Mann-Kendall test was used to quantify trends in the climate variables ...Daha fazlası

Makale 2017 ENVIRONMENTAL EARTH SCIENCES 8 Görüntülenme
Erişime Açık

Hydrological Time Series Forecasting Using Three Different Heuristic Regression Techniques

KİŞİ, Özgür | SHIRI, Jalal | DEMİR, Vahdettin

The ability of three different heuristic regression methods, least-square support vector regression (LSSVR), multivariate adaptive regression spline (MARS), and M5 model tree (M5Tree), was investigated in forecasting hydrological time series. In the study, daily streamflow data from two stations in Turkey were used by employing cross validation method. Models were compared with each other with respect to root-mean-square error, mean absolute error and determination coefficient. The LSSVR was found to be superior to the MARS and M5Tree models in daily streamflow forecasting. The effect of perio ...Daha fazlası

Kitap Bölümü 2017 Elsevier Inc. 3 Görüntülenme
Erişime Açık

Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

KİŞİ, Özgür | PARMAR, Kulwinder | SONI,Kirti | DEMİR, Vahdettin

This study investigates the applicability of three different soft computing methods, least square support vector regression (LSSVR), multivariate adaptive regression splines (MARS), and M5 Model Tree (M5-Tree), in forecasting SO2 concentration. These models were applied to monthly data obtained from Janakpuri, Nizamuddin, and Shahzadabad, located in Delhi, India. The models were compared with each other using the cross validation method with respect to root mean square error, mean absolute error, and correlation coefficient. According to the comparison, LSSVR provided better accuracy than the ...Daha fazlası

Makale 2017 Springer Netherlands 2 Görüntülenme
Erişime Açık

Türkiye Sıcaklıklarının Trend Analizi

KUYUCU, Hülya | DEMİR, Vahdettin | GEYİKLİ, Mehmet Selim | ÇITAKOĞLU, Hatice

Climate change effects have been remarkably today; the determination of trends in temperatures, precipitation, stream flow, winds and evaporation has become considerable for the planning and management of water resources and engineering projects. Nowadays there is a lot of studies have been made in progress on global and regional climate changes in literature. In this study, annual trends of average temperature data recorded between 1960 and 2014 of meteorological monitoring stations belonging to Turkey which links Asia and Europe are examined. Mann-Kendall trend methods were used in non-param ...Daha fazlası

Konferans Bildirisi 2017 1st International Symposium on Multidisciplinary Studies and Innovative Technologies Proceedings 4 Görüntülenme
Erişime Açık

Ege Bölgesi Yaz Ayları Buharlaşma Verilerine Trend Analizi

ÇITAKOĞLU, Hatice | GEYİKLİ, Selim | DEMİR, Vahdettin

Bu çalışmada Ege Bölgesi’nde bulunan Afyonkarahisar, Uşak, Denizli, Muğla, Aydın ve İzmir illerine ait meteoroloji gözlem istasyonlarının, 1971 – 2014 yılları arası kaydedilen Temmuz ve Ağustos aylarına ait buharlaşma verilerinin aylık trendleri incelenmiştir. Lineer Regresyon ve Mann-Kendall yöntemleri ile trend analizi yapılmış olup sonuçlar karşılaştırılmıştır. Lineer Regresyon ve Mann-Kendall yöntemlerinin analizi sonucunda Temmuz ve Ağustos aylarında Uşak ve Afyonkarahisar istasyonlarında artan yönde trend, Muğla istasyonunda azalan yönde trend olduğu tespit edilmiş, diğer illerde ise tre ...Daha fazlası

Konferans Bildirisi 2017 5. Uluslararası Katılımlı Toprak ve Su Kaynakları Kongresi 7 Görüntülenme
Erişime Açık

Estimation of long-term monthly temperatures by three different adaptive neuro-fuzzy approaches using geographical inputs

KİŞİ, Özgür | DEMİR, Vahdettin | SUNGWON, Kim

This paper investigates the accuracy of three different adaptive neuro-fuzzy inference systems (ANFISs), ANFIS with grid partition (ANFIS-GP), ANFIS with substructive clustering (ANFIS-SC), and ANFIS with fuzzy c means (ANFIS-FCM) in estimation of long-term monthly air temperatures. Data of 71 stations in Turkey are used in the applications. The periodicity (month of the year) and geographical variables (latitude, longitude, and altitude) are used as inputs to the models. ANFIS models are also compared with artificial neural networks (ANNs) and multilinear regression (MLR). Three ANFIS methods ...Daha fazlası

Makale 2017 American Society of Civil Engineers (ASCE) 3 Görüntülenme
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