Assessment of sediment yield estimations for large watershed areas: a case study for the Seyhan, Demirköprü and Hirfanlı reservoirs in Turkey

Kökpinar, Mehmet Ali; Altan-Sakarya, A. Burcu; Kumcu, Şerife Yurdagül; Göğüş, Mustafa

doi:10.1080/02626667.2014.959954

Cited by 13 publications

(13 citation statements)

References 17 publications

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“…Demirköprü Barajında rezervuar sedimentasyonunun değerlendirilmesi çalışmasında hem hidrografik haritalar hem de sediment gözlem istasyonu ölçümleri kullanılmış ve sonuç olarak sediment birikiminden dolayı rezervuar toplam depolama hacminin %33'ünün kaybedildiği görülmüştür [3]. Sille Barajında 1984-2008 yılları arasında 24 yıllık sürede gölün depolama kapasitesinde sediment birikimi nedeniyle %11,6 azalma olduğu tespit edilmiştir [11].…”

Section: öNceki̇ çAlişmalarunclassified

“…Rezervuar sedimentasyonunun değerlendirilmesi hakkında daha önceki yıllarda yapılan çalışmalarda da, rezervuar kapasitesinde azalmaya neden olan sedimentasyonla ilgili sorunlar belirtilmektedir [3][4][5][6]. Bu nedenle rezervuar havzalarındaki sediment dağılımının değerlendirilmesi için mühendislik projelerinde planlama aşamalarından işletme aşamalarına kadar gerekli çalışmalar yapılmalıdır [3]. Sediment birikiminin rezervuar kapasitesinin azalmasına neden olması su kaynaklarının yönetiminde büyük bir problem olarak karşımıza çıkmaktadır.…”

Section: Introductionunclassified

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Baraj Rezervuarlarına Sediment Etkisinin Araştırılması: Berdan Barajı Örneği

Güvel¹,

Selek²,

Seçkin³

2017

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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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.

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Section: öNceki̇ çAlişmalarunclassified

Section: Introductionunclassified

Baraj Rezervuarlarına Sediment Etkisinin Araştırılması: Berdan Barajı Örneği

Güvel¹,

Selek²,

Seçkin³

2017

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…The models most commonly used for predicting soil loss are the Universal Soil Loss Equation (USLE) (Wischmeier and Smith, 1965) and its derivatives such as RUSLE (Revised Universal Soil Loss Equation) (Renard et al, 1991) and MUSLE (Modified Universal Soil Loss Equation) (Williams and Berndt, 1977) Hydrologic Engineering Center River Analysis System, (HEC-RAS;HEC, 1995), Water Erosion Prediction Technology (WEPP, Nearing et al, 1989), Agricultural Non-Point Source Pollution (AGNPS; Young et al, 1989), Erosion Productivity Calculator (EPIC; Jones et al, 1991), Soil and Water Assessment Tool (SWAT; Arnold et al, 1998) and Chemicals, Runoff and Erosion from Agricultural Environment Systems (CREAMS; Knisel, 1980). More sophisticated models used are the neural differential evolution (NDE), artificial adaptive neuro-fuzzy inference system (ANFIS), and artificial neural network (ANN) models (Masoumeh and Mehdi, 2012;Özgür, 2007). However, it is cumbersome to obtain the required data for these models especially in developing countries.…”

Section: Introductionmentioning

confidence: 99%

“…Additional challenges using these models are the following: (i) the models have been developed in regions with a semi-arid temperate climate where the runoff mechanisms are governed by infiltration excess unlike the highland areas where saturation excess runoff is dominating (Steenhuis et al, 2009;Bayabil et al, 2010;Tilahun et al, 2013a, b, c) and (ii) almost all of the models need intensive data with many parameters that might be available centrally in developed countries but not in developing countries such as Ethiopia. Therefore, historically when concurrent concentration and discharge measurement were taken at irregular intervals, rating curves were often the preferred choice for predicting sediment loads (e.g., Walling, 1990) but also recently (e.g., Horowitz, 2010;Kokpinar et al, 2015;Choi and Lee, 2015;Kheirfam and Vafakhah, 2015). The abundance of papers on load rating curves in the refereed literature should not be surprising since the purpose of the measurements was to determine the amount of sediment that potentially could be deposited in rivers and reservoirs.…”

Section: Introductionmentioning

confidence: 99%

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Sediment concentration rating curves for a monsoonal climate: upper Blue Nile

Moges

Zemale

Alemu

et al. 2016

SOIL

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Abstract. Information on sediment concentration in rivers is important for design of reservoirs and for environmental applications. Because of the scarcity of continuous sediment data, methods have been developed to predict sediment loads based on few discontinuous measurements. Traditionally, loads are being predicted using rating curves that relate sediment load to discharge. The relationship assumes inherently a unique relationship between concentration and discharge and therefore although performing satisfactorily in predicting loads, it may be less suitable for predicting concentration. This is especially true in the Blue Nile Basin of Ethiopia where concentrations decrease for a given discharge with the progression of the rainy monsoon phase. The objective of this paper is to improve the sediment concentration predictions throughout the monsoon period for the Ethiopian highlands with a modified rating type equation. To capture the observed sediment concentration pattern, we assume that the sediment concentration was at the transport limit early in the rainy season and then decreases linearly with effective rainfall towards source-limited concentration. The modified concentration rating curve was calibrated for the four main rivers in the Lake Tana basin where sediment concentrations affect fish production and tourism. Then the scalability of the rating type equation was checked in three 100 ha watersheds for which historic data were available. The results show that for predicting sediment concentrations, the (modified) concentration rating curve was more accurate than the (standard) load rating curve as expected. In addition loads were predicted more accurately for three of the four rivers. We expect that after more extensive testing over a wider geographical area, the proposed concentration rating curve will offer improved predictions of sediment concentrations in monsoonal climates.

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Sediment Yields and Sediment Budgets

Walling¹

2019

Encyclopedia of Water

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This article aims to provide a broad overview of the topic across spatial scales ranging from small catchments to a global perspective. The two elements of the topic (i.e. sediment yields and sediment budgets) are closely related, with the former treating the catchment or river basin essentially as a black box. The latter looks into the black box to consider the importance of sediment sources, and sediment mobilization, transport, and storage in influencing sediment yields. Attention is directed firstly to the key features of sediment yields, by considering fluvial sediment loads, measurement techniques, the magnitude of sediment yields, and associated global and regional patterns and key controlling factors. Information on spatial variability of sediment yields is complemented by consideration of medium‐ and longer‐term temporal variability in response to natural factors and, more importantly, the impact of anthropogenic activity and climate change. Sediment budgets are introduced by considering the important role of internal storage in influencing the sediment yield from a catchment or river basin and the concepts of the sediment delivery ratio and connectivity, as well the need to take account of the sediment sources involved. Examples of sediment budgets are provided and available techniques for assembling the information necessary to establish a sediment budget are reviewed.

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Assessment of sediment yield estimations for large watershed areas: a case study for the Seyhan, Demirköprü and Hirfanlı reservoirs in Turkey

Cited by 13 publications

References 17 publications

Baraj Rezervuarlarına Sediment Etkisinin Araştırılması: Berdan Barajı Örneği

Baraj Rezervuarlarına Sediment Etkisinin Araştırılması: Berdan Barajı Örneği

Sediment concentration rating curves for a monsoonal climate: upper Blue Nile

Sediment Yields and Sediment Budgets

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