Comparison of Different Techniques about Reservoir Capacity Calculation at Sami Soydam Sandalcık Dam
Öz
Reservoirs are designed to provide the balance between
the flow brought by the river which is high variable in time and volume of
water. The storage required on a river to meet a specific demand depends
basically on three factors; the magnitude and the variability of the river, the
size of the demand and the degree of reliability of this demand being met.
Several procedures have been proposed to estimate storage requirements.
Critical period methods are those in which required reservoir capacity is
equated to the difference between the water released from an initially full
reservoir and the inflows for periods of low flow. In the presented study
reservoir capacity-yield-reliability relationships are investigated for a
single reservoir named Sami Soydam
Sandalcık Dam. For this purpose, six design techniques (Mass Curve, Residual
Mass Curve, Moran Probability Matrix Method, Hardison's method and Minimum flow
approach) are used in determining reservoir capacity, monthly and annual mean
flow data observed for a period between 1962-2013, of EIE-811 Suçatı Flow
Gauging Station on Dalaman River in West Mediterranean Basin in Turkey are used
as case study. For 0% probability of failure,
the highest reservoir capacity resulted
for methods Mass Curve, Residual Mass Curve and Minimum flow approach at the
range between 814.22 to 852.74*106 m3 for draft equal 60%
and at the range between 2043.4 to 2145.74*106 m3 for
draft equal 80% by using the monthly data. On the other hand when high value of
probability of failure (5% and 10%) are used for estimation, the reservoir
capacity values were resulted at the range between 612.36 to 1154.74*106
m3 for draft equal 60% and at the range between 1443.42 to
2165.13*106 m3 for draft equal 80% for Hardison's method.
By using Moran Probability Matrix method, the reservoir capacity resulted 1280*106 m3 and
the interval was divided to 140*106 m3 for annual data 52
years.
Anahtar Kelimeler
Kaynakça
- 1. Ağıralioğlu, N, Baraj Planlama ve Tasarımı, Su Vakfı Yayınları, 2001, Vol. 1, pp 246.
- 2. Linsley, R. K, Franzini, J. B, Water Resources Engineering, New York: McGraw-Hill Book Co, 1979.
- 3. Parks, Y. P, Gustard, A, A reservoir storage yield analysis for arid and semiarid climates, Optimal Allocation of Water Resources, 1982, 135, 49-57. 4. Silva, A. T, Design of the storage capacity of artificial reservoir, (Master thesis), Lisbon: Instituto Superior Técnico, 2010.
- 5. Aksoy, H, Storage Capacity for River Reservoirs by Wavelet-Based Generation of Sequent-Peak Algorithm, Water Resources Management, 2001, 15, 423-437.
- 6. Oğuz, B, Bayazıt, M, Statistical properties of the critical period, Journal of Hydrology, 1991, 126, 183-194.
- 7. Rao, Z, Moore, I. N, O’Connell, P. E, Jamieson, D. G, An Interactive Management System for Operational Control of Kirazdere Reservoir (Turkey), Water Resources Management, 2001, 15, 223-234.
- 8. Bayazıt, M, Bulu, A, Generalized probability distribution of reservoir capacity, Journal of Hydrology, 1991, 126, 195-205.
- 9. Bayazit , M, Ideal reservoir capacity as a function of yield and risk, Journal of Hydrology, 1982, 58, 1-9.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Hesham Alrayess
Bu kişi benim
ONDOKUZ MAYIS ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, İNŞAAT MÜHENDİSLİĞİ BÖLÜMÜ
Türkiye
Aslı Ülke
ONDOKUZ MAYIS ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, İNŞAAT MÜHENDİSLİĞİ BÖLÜMÜ
Türkiye
Salem Gharbia
Bu kişi benim
Department of Planning and Environmental Policy, University College Dublin
Ireland
Yayımlanma Tarihi
30 Mart 2018
Gönderilme Tarihi
26 Nisan 2017
Kabul Tarihi
28 Aralık 2017
Yayımlandığı Sayı
Yıl 2018 Cilt: 14 Sayı: 1