Investigation of meandering in Filyos River by means of satellite sensor data

Şeker, Dursun Zafer; Kaya, Ş.; Musaoğlu, Nebiye; Kabdasli̇, S.; Yuasa, Akira; Duran, Zaide

doi:10.1002/hyp.5593

Cited by 24 publications

(14 citation statements)

References 1 publication

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“…Its watershed is approximately 13 305 km 2 and covers almost 46 % of the West Black Sea watershed [9]. The majority of the watershed is covered by mountains and plates.…”

Section: The Study Areamentioning

confidence: 99%

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Utility of Remote Sensing Technology for Determining Characteristics of Sandy Beaches

Kaya¹,

Şeker

Yasa

et al. 2007

CLEAN Soil Air Water

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In this study, four sandy beaches located on the western part of the Turkish Black Sea coast were selected to determine the characteristics of sand. Hence, field studies were conducted and remotely sensed data taken simultaneously were utilized.A hand spectroradiometer was used to measure reflectance values in the beaches. Various monitoring stations for spectral reflectance measurements and sand sampling stations for moisture content analyses were selected on each of the beaches. The sand samples were further sieved in the laboratory to obtain the grain size distribution. The spectral reflectance measurements of the beaches and the grain size distributions were compared with the classified IKONOS satellite images obtained simultaneously with the field surveys. Reflectance values showed similarities between the beaches. Classification done by using the grain size distributions put forth the areal-based information on sand size characteristics.

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“…Its watershed is approximately 13 305 km 2 and covers almost 46 % of the West Black Sea watershed [9]. The majority of the watershed is covered by mountains and plates.…”

Section: The Study Areamentioning

confidence: 99%

“…As mentioned, analyzing beach characteristics of the entire region may be time and money consuming by traditional methods. References [1,8,9] are a few examples of the recent researches conducted on the subject of concern.…”

Section: Introductionmentioning

confidence: 99%

Utility of Remote Sensing Technology for Determining Characteristics of Sandy Beaches

Kaya¹,

Şeker

Yasa

et al. 2007

CLEAN Soil Air Water

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“…Çaycuma and Gökçebey districts situate near the Filyos River and their populations have been increasing day by day. Although the economy of the region is dependent on agriculture and forestry, it has been changed with the construction of some industrial factories such as cement and paper factories (Seker et al, 2005). There are substantial differences in the richness of terrestrial ecosystem attributable to the topographical features of the region and the delta of the river is a natural environment with untouched areas (Kucukali, 2014).…”

Section: Study Area and Samplingmentioning

confidence: 99%

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Sönmez¹,

Kale²,

Ozdemir³

et al. 2018

Turk. J. Fish. Aquat. Sci.

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Water quality is one of the main characteristics of a river system and prediction of water quality is the key factor in water resource management. Different physical, biological and chemical parameters including heavy metals can be used to assess river water quality. Evaluation of the water quality in the rivers is quite difficult and requires more time and effor t because of the fact that many factors affect water quality. Traditional data processing methods are insufficient to solve this problem. Therefore, in this study, an adaptive neuro-fuzzy inference system (ANFIS) model was developed to predict the concentrations of cadmium (Cd) in the Filyos River, Turkey. For this purpose, water samples collected at 7 sampling locations in the river during December 2014-2015 were used to develop ANFIS model. The available data set was apportioned into two separate sections for training and testing the ANFIS model. Developed models aimed to use the least parameters to estimate Cd concentration. As a result, a relatively higher correlation (R 2 =0.91) was found between observed and modelled Cd concentrations. The results indicated that the ANFIS model gave reasonable estimates for the concentrations of Cd with a high degree accuracy and robustness. In conclusion, this paper suggests that ANFIS methodology produce very successful findings and has the ability to predict Cd concentration in water resources. The outcomes of this research provide more information, simulation, and prediction about heavy metal concentration in natural aquatic ecosystems. Therefore, ANFIS can be used in further researches on water quality monitoring.

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“…Furthermore, remote sensing technology has the advantage of obtaining up to date digital data through costeffective and rapidtechniques in comparisionto the conventional in-situ methods (Kaya, 2007;Kaya et al, 2006;Seker et al, 2005;Kaya, et al, 2004;Okay et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Using Digital Elevation Model and Remotely Sensed Data in Determining the Geomorphological and Morphometric Features: Gaziköy-Saros Region, Northwestern

Kaya

Tüysüz

2015

International Journal of Environment and Geoinformatics

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The Gaziköy-Saros region is located in the western part of the North Anatolian Fault Zone (NAFZ), Turkey, which is one of the major active strike-slip faults recognized in the world. The morphological characteristics of this region were shaped by the nature of the fault. By means of combination techniques of remotely sensed and Digital Elevation Model (DEM) data a 3-D (three-dimensional) model can be generated. Afterwards, the produced 3-D model of the study region can be effectively used in examining the aforesaid features and various other associated analyses. In this study, the DEM data is obtained by digitizing 1/25,000 scaled maps and Landsat 5 TM data. A novel method is used to define the region's geomorphology through merged digital elevation model (DEM) and remotely sensed data. The morphometric analyses of our study identified five erosion surfaces and indicated that the active faults contributed to the morphological development of the study area. Moreover, another hypothesis derived from our study is that the formation of the elevated areas was caused by fault compressional force components and formation's linear features were produced by the strike-slips.

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Investigation of meandering in Filyos River by means of satellite sensor data

Cited by 24 publications

References 1 publication

Utility of Remote Sensing Technology for Determining Characteristics of Sandy Beaches

Utility of Remote Sensing Technology for Determining Characteristics of Sandy Beaches

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Using Digital Elevation Model and Remotely Sensed Data in Determining the Geomorphological and Morphometric Features: Gaziköy-Saros Region, Northwestern

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