Water depth data of a reservoir is used in calculation of water volume storage and sedimentation volume in reservoirs. The goal of this study is to examine the recent developments in sediment accumulation in Berdan Dam Reservoir as of the year 2019, to examine the risks caused by sedimentation in terms of sustainability within the framework of dam safety principles and to assess the possibilities of using remote sensing data to determine bathymetric water depths. In this study, the water depth of Berdan Dam Reservoir is investigated to determine bathymetric elevations of the reservoir by using the Log Ratio Transformation (LRT) method which is developed by the US National Oceanic and Atmospheric Admisinistration (NOAA). 25 control points were used for calibration of water depth. The depths of these points were selected from the July 2019 bathymetric map of Berdan Dam Reservoir with a depth difference of 1 m between the points. As remote sensing data, archive scanning was performed by considering the date of the bathymetric map and cloudlessness, the image of Sentinel-2 dated 28 July 2019 was selected and analyzed. As a result, high correlation was found between the predicted water depths and surveyed water depths by using logaritmic nonlinear regression analysis for chosen 25 control points. The regression value between the average bathymetric elevations was found to be 0.944 and the root mean square error (RMSE) was calculated as 1.70 m.
ÖzBaraj projelerinin planlanmasında sediment ölçümleri, ölü hacmin güvenilir olarak hesaplanması için kullanılmaktadır. Mühendislik uygulamalarında, sediment hacminin gerçek değerinden düşük hesaplanması depolama tesislerinde işletme-bakım problemlerine neden olmakta ve barajlardan beklenen fayda sağlanamamakta, gerçek değerinden fazla hesaplanması ise maliyeti artırmaktadır. Nehir havzalarında baraj rezervuarlarına taşınan sediment miktarları barajların depolama kapasitesini azaltmakta, bu nedenle tesisler işletmeye alındıktan sonra rezervuar işletme çalışmalarının sediment etkisine bağlı olarak tekrar değerlendirilmesini gerekli duruma getirmektedir.Berdan Barajı, Türkiye'nin güneyinde Mersin İli'nde, Tarsus İlçesi'nin 6 km kuzeydoğusunda yer almaktadır ve sulama, içme suyu, taşkın kontrolü ve enerji amaçları için Berdan Nehri üzerinde inşa edilmiştir. Berdan Barajı 1984 yılında inşaatı tamamlanarak işletmeye açılmıştır.
This study assessed the performance remote sensing and geographic information system techniques for analysing of flood events in agricultural areas and estimating the flooded areas in agricultural lands. The Berdan Plain in the southern part of Turkey is below sea level and prone to flood events. The flooded agricultural areas were estimated by using Sentinel-2 satellite data for the Berdan Irrigation Scheme in December 2019-January 2020 period. The flooded area in the old Aynaz marsh was estimated as 486.79 hectares on 9 January 2020, while the total flooded area in the Berdan Irrigation Project was 4,515.58 hectares. Flood volume was calculated as 2.61 hm3 and the highest water level was estimated to be −0.76 metres in the old Aynaz marsh.
The goal of this study is to investigate the water storage capacity changes in Geographic Information System (GIS) environment due to sedimentation in Kozan Dam Reservoir by examining the local map of the reservoir area and the bathymetric measurements in 2014 of the reservoir. Kozan Dam is operational since 1972 and is located in Lower Ceyhan River Basin in Turkey. Reservoir storage capacity loss is estimated by using GIS tools in digital environment and found as %88.7, %7.5 and %6.5 at minimum, normal and maximum operation level of the reservoir respectively. The need for rehabilitation has arisen in Kozan Irrigation Project in time. In terms of efficient use of water, it is necessary to monitor the amount of water stored in Kozan Dam Reservoir which is used as a water resource of the irrigation project in terms of providing expected performance.
The determination of the volume of water to be stored is one of the most important criteria for dam and pond planning and operation. This amount is calculated locally prior to planning studies, and a bathymetric map is created following water storage in the reservoir. Because of sedimentation during the operation period, the volume of the reservoir decreases over time, and this situation appears as a problem in the operation of the water structure. In this study, the reservoir storage volume changes and reservoir sediment accumulation rates between the locally produced map before the construction of Tahtaköprü Dam and the hydrographic survey maps prepared during operation period were investigated by using GIS modules. It was determined that the decrease in the storage volume of the dam reservoir at the maximum water level by 9.15% and at the minimum water level by 51.90% was due to sediment accumulation. The effect of the changes in the land cover and forest area in the basin on reservoir sedimentation was examined and it was found that land cover and forest area in the basin have reduced sediment accumulation in the reservoir. Furthermore, sediment thickness change was mapped to compare the decrease in the storage volume capacity of the reservoir at the maximum water level and at the minimum water level by comparing the digital elevation models of 1962, 1980 and 2014 to support the decision-makers on determining reservoir operation rules in order to benefit water resources effectively within the scope of sustainable management of water resources.
Taşkın yönetimi çalışmalarında taşkın olaylarının nedenleri, oluşma süreçleri, çevresel, ekonomik ve sosyal etkileri detaylı olarak incelenmektedir. Tarihi taşkın olayları, taşkınların gerçekleştiği dönemlerin teknik imkanları, yersel gözlemler ve ölçümler doğrultusunda değerlendirilmiş olup, günümüzde ise veri temini ve analizi konusunda teknolojik gelişmelerin yaşanması, tarihsel olaylara yeni bir bakış açısı ve yaklaşımın gerekliliğini de beraber getirmiştir. Bu kapsamda, bu çalışmada, 1980 yılında Çukurova Bölgesinde gerçekleşen Seyhan nehri taşkın olayı uzaktan algılama yaklaşımı ile tekrar irdelenmiştir. Çalışmanın amacı, yersel ölçümlerle değerlendirilen taşkın yönetimi faaliyetlerine en yeni teknolojilerden olan uydu tabanlı uzaktan algılama tekniği ile yeni bir yaklaşımın araştırılması ve sonuçların karşılaştırmalı olarak değerlendirilmesidir. Çalışma kapsamında, 27 Mart-6 Nisan 1980 tarihleri arasında Seyhan nehrinde gerçekleşen taşkınların yayılım alanları aynı tarihlerdeki Berdan nehir taşkını yayılım alanı etkileşimi birlikte değerlendirilerek Landsat 3 uydu görüntüleri ile analiz edilmiştir. 1980 yılında DSİ tarafından hazırlanan Seyhan taşkın raporunda yersel ölçümlerle belirlenen taşkın yayılım alanlarının güncel yazılımlarla ve uydu verileri ile tekrar gözden geçirilmesinin amaçlandığı çalışmada, uzaktan algılama yaklaşımı ile Seyhan-Berdan’da (Tarsus-Adana-Akdeniz arasında) 28235.6 ha, Aynaz’da 669.24 ha, Seyhan Nehri ile Sarımsaklı arasında kalan alanda 7876.8 ha alanın taşkın suları altında kaldığı belirlenmiştir.
Sedimentation effects on reservoir management Sediment accumulation in Seyhan Reservoir Investigation of reservoir water storage capacity loss In this study, GIS technology is used to evaluate spatial and temporal changes of sediment accumulation in the period of hydrographic measurements in Seyhan Dam Reservoir. Sediment observation data of Çakıt and Körkün streams, which are the sediment source of Seyhan Reservoir in present, are used to determine the current state of sedimentation in the reservoir. Calculations made by researches with various techniques in previous years and GIS results to examine the change in storage volume in Seyhan Dam Reservoir between measurement years are presented. Since Çatalan Dam was taken into operation, the transport of sediment from main line of Seyhan River has been prevented, and technical measures developed in Çakıt branch are considered to be important in terms of sustainable management. Figure A. Seyhan Reservoir elevation-volume graph based on hydrographic measurements Purpose: In this study, it is aimed to investigate the changes in water storage capacity and the changes in bottom topography by additional data and developments in addition to GIS supported analyzes based on hydrographic measurements of Seyhan Dam Reservoir, and to provide the current results with respect to reservoir management in Seyhan Dam Reservoir by evaluating the current state of sediment accumulation. Theory and Methods: GIS technique as a decision support tool is used in evaluation of distribution of sediment accumulation in Seyhan Dam reservoir. Water storage capacity loss is estimated by using hydrographic measurements and sediment observation data. Results: It is determined that the maximum reservoir volume in Seyhan Dam Reservoir is reduced by 0.30% from 2005 to 2017 by evaluating the sediment observation data of E18A028 Çakıt Stream-Salbaş sediment observation station and E18A020 Körkün Stream-Hacılı Bridge sediment observation station. Conclusion: As a result, sediment accumulation in Seyhan Dam reservoir is investigated by evaluating hydrographic measurements and sediment observation data of Çakıt and Körkün streams and current results on the effects of sediment accumulation on the reservoir operation in Seyhan Dam Reservoir are obtained.
Bu çalışmada, Antalya İli sınırları içerisinde tarımsal alanlarda 13.11.2017 tarihli hortum olayından dolayı oluşan hasarların Sentinel-2 verisiyle değerlendirilmesi yapılarak uydu tabanlı uzaktan algılama yaklaşımının afet yönetiminde kullanılabilirliği ve sağladığı katkılar irdelenmektedir. Çalışmada, Spektral Açı Farkı (Spectral Angle Difference) yöntemi kullanılmıştır. Çalışmada, hortum olayı öncesi 11.11.2017 ve olay sonrası 21.11.2017 tarihli görüntüler arasında değişim analizi yapılarak, Kumluca İlçesinde, hortumdan kısmen veya tamamen etkilenen 68 adet parsel ve 49.75 ha toplam tarımsal alan bulunduğu belirlenmiştir. Su hortumunun karaya çıktıktan sonra izlediği yörünge başarılı biçimde belirlenmiştir.
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