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MODELING OF FLOW DURATION CURVES USING MATHEMATICAL METHODS IN THE EASTERN BLACK SEA BASIN

Yıl 2025, Cilt: 24 Sayı: 48, 380 - 397, 18.12.2025
https://doi.org/10.55071/ticaretfbd.1577087
https://izlik.org/JA99HM63XR

Öz

In hydrological studies related to water engineering, flow estimation plays a critical role, with flow duration curves (FDC) widely used as a key analytical tool. However, FDC can only be directly constructed at streamflow gauging stations with sufficient data; in regions with limited or no measurements, they must be estimated. This study estimates FDC through regionalization using mathematical methods in the Eastern Black Sea Basin. Streamflow data from 39 gauging stations, along with temperature and precipitation data from meteorological stations within the basin, were utilized. To capture the general shape of the FDC, logarithmic and exponential equations were applied to flow values corresponding to exceedance probabilities ranging from %0-100. Regression coefficients were calculated for each station. The exponential model yielded superior results, with a lower standard error of estimation (0,312) and a higher coefficient of determination (0,869) compared to the logarithmic model. Based on its better conformity to the overall FDC shape, the exponential model was selected. Its coefficients were then related to the topographic and climatic characteristics of stations. Two equations were developed to estimate the coefficient ae using drainage area and mean annual precipitation, while five equations were derived to estimate the coefficient be based on drainage area, drainage density, average stream slope, and mean annual total precipitation. The results demonstrate that the general shape of FDC at any location within the Eastern Black Sea Basin can be predicted using basin characteristics and the estimated ae and be coefficients.

Kaynakça

  • Booker, D. J., & Snelder, T. H. (2012). Comparing methods for estimating flow duration curves at ungauged sites. Journal of Hydrology, 434–435, 78–94. https://doi.org/10.1016/j.jhydrol.2012.02.031
  • Castellarin, A., Galeati, G., Brandimarte, L., Montanari, A., & Brath, A. (2004). Regional flow-duration curves: Reliability for ungauged basins. Advances in Water Resources, 27(10), 953–965. https://doi.org/10.1016/j.advwatres.2004.08.005
  • Croker, K. M., Young, A. R., Zaidman, M. D., & Rees, H. G. (2003). Flow duration curve estimation in ephemeral catchments in Portugal. Hydrological Sciences Journal, 48(3), 427–439. https://doi.org/10.1623/hysj.48.3.427.45287
  • Demir, F. S., & Sevimli, V. F. (2022). Investigation of Base Flow Reserve in Konya Closed Basin. 2 nd Advanced Engineering Days.
  • Demir, V., & Tona, A. U. (2021). Debi-Sürek Eğrisi Yardımıyla Taban Akımının Hesaplaması: Samsun Kürtün Irmağı Örneği. European Journal of Science and Technology. https://doi.org/10.31590/ejosat.916024
  • Devlet Su İşleri. (2024, December). DSİ 2023 Yılı Resmi Su Kaynakları İstatistikleri. https://www.dsi.gov.tr/Sayfa/Detay/1916
  • Dey, P., Mathai, J., Sivapalan, M., & Mujumdar, P. P. (2024). On the regional-scale variability in flow duration curves in Peninsular India. Hydrology and Earth System Sciences, 28(7), 1493–1514. https://doi.org/10.5194/hess-28-1493-2024
  • Eshra, N. M., Zobaa, A. F., & Abdel Aleem, S. H. E. (2021). Assessment of mini and micro hydropower potential in Egypt: Multi-criteria analysis. Energy Reports, 7, 81–94. https://doi.org/10.1016/j.egyr.2020.11.165
  • Fennessey, N., & Vogel, R. M. (1990). Regional Flow-Duration Curves for Ungauged Sites in Massachusetts. Journal of Water Resources Planning and Management, 116(4).
  • Franchini, M., & Suppo, M. (1996). Regional Analysis of Flow Duration Curves for a Limestone Region. Water Resources Management, 10, 199–218.
  • Ghotbi, S., Wang, D., Singh, A., Blöschl, G., & Sivapalan, M. (2020). A New Framework for Exploring Process Controls of Flow Duration Curves. Water Resources Research, 56(1). https://doi.org/10.1029/2019WR026083
  • Göğsu, S., & Özgür Hastaoğlu, K. (2019). Ters Mesafe Ağırlıklı Enterpolasyon Yönteminde Güç Fonksiyonu Etkisinin İncelenmesi (17).
  • Goodarzi, M. R., & Vazirian, M. (2023). A geostatistical approach to estimate flow duration curve parameters in ungauged basins. Applied Water Science, 13(9). https://doi.org/10.1007/s13201-023-01993-4
  • Ibarra, D. E., David, C. P. C., & Tolentino, P. L. M. (2021). Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines. Hydrology and Earth System Sciences, 25(5), 2805–2820.
  • Karimi, S., Salarijazi, M., Ghorbani, K., & Heydari, M. (2021). Comparative assessment of environmental flow using hydrological methods of low flow indexes, Smakhtin, Tennant and flow duration curve. Acta Geophysica, 69(1), 285–293.
  • Kazemi, R., & Porhemmat, J. (2018). Investigating the effect of hierarchical clustering methods on accurately modeling of runoff coefficient in Karkheh Basin. Watershed Engineering and Management, 10(1), 81–94.
  • Khaliq, M. (2020). Assessment of Canada’s hydrokinetic resources : A review of hydrologic considerations. National Research Council Canada = Conseil national de recherches Canada.
  • Kim, D., Jung, I. W., & Chun, J. A. (2017). A comparative assessment of rainfall-runoff modelling against regional flow duration curves for ungauged catchments. Hydrology and Earth System Sciences, 21(11), 5647–5661.
  • Lan, T., Zhang, J., Li, H., Zhang, H., Gong, X., Sun, J., Chen, Y. D., & Xu, C. Y. (2025). Flow duration curve prediction: A framework integrating regionalization and copula model. Journal of Hydrology, 647. https://doi.org/10.1016/j.jhydrol.2024.132364
  • Lane, P. N. J., Best, A. E., Hickel, K., & Zhang, L. (2005). The response of flow duration curves to afforestation. Journal of Hydrology, 310(1–4), 253–265. https://doi.org/10.1016/j.jhydrol.2005.01.006
  • LeBoutillier, D. W., & Waylen, P. R. (1993). A stochastic model of flow duration curves. Water Resources Research, 29(10), 3535–3541. https://doi.org/10.1029/93WR01409
  • Ley, A., Bormann, H., & Casper, M. (2023). Intercomparing LSTM and RNN to a Conceptual Hydrological Model for a Low-Land River with a Focus on the Flow Duration Curve. Water (Switzerland), 15(3). https://doi.org/10.3390/w15030505
  • Luan, J., Liu, D., Lin, M., & Huang, Q. (2021). The construction of the flow duration curve and the regionalization parameters analysis in the northwest of China. Journal of Water and Climate Change, 12(6), 2639–2653. https://doi.org/10.2166/wcc.2021.324
  • Ma, L., Liu, D., Luan, J., Ming, G., Meng, X., & Huang, Q. (2024). Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China. Journal of Hydrology, 635. https://doi.org/10.1016/j.jhydrol.2024.131235
  • Mimikou, M., & Kaemaki, S. (1985). Regionalization of flow duration characteristics. Journal of Hydrology, 82(1), 77–91. https://doi.org/https://doi.org/10.1016/0022-1694(85)90048-4
  • Morrison, M. A., & Bonta, J. V. (2008). Development of Duration-Curve Based Methods for Quantifying Variability and Change in Watershed Hydrology and Water Quality.
  • Müller, M. F., Dralle, D. N., & Thompson, S. E. (2014). Analytical model for flow duration curves in seasonally dry climates. Water Resources Research, 50(7), 5510–5531. https://doi.org/10.1002/2014WR015301
  • Naito, K., & Parker, G. (2019). Can Bankfull Discharge and Bankfull Channel Characteristics of an Alluvial Meandering River be Cospecified From a Flow Duration Curve? Journal of Geophysical Research: Earth Surface, 124(10), 2381–2401. https://doi.org/10.1029/2018JF004971
  • Niadas, I.A. (2005). Regional flow duration curve estimation in small ungauged catchments using instantaneous flow measurements and a censored data approach. Journal of Hydrology, 314(1–4), 48–66.
  • Orta, S., & Aksoy, H. (2022). Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis. Water Resources Management, 36(5), 1521–1534.
  • Palizban, P., Zahraie, B., & Dolatabadi, N. (2025). Estimation of standardized flow Duration curve for gauged and ungauged basins. Journal of Hydrology, 653. https://doi.org/10.1016/j.jhydrol.2025.132787
  • Quimpo, R., Alejandrino, A., & McNally, T. (1983). Regionalized Flow Duration Curves for Philippines. Journal of Water Resources Planning and Management-Asce - Journal of Water Resources Planning and Management - ASCE, 109. https://doi.org/10.1061/(ASCE)0733-9496(1983)109:4(320)
  • Ridolfi, E., Kumar, H., & Bárdossy, A. (2018). A methodology to estimate flow duration curves at partially ungauged basins. https://doi.org/10.5194/hess-2018-347
  • Sajjad, H. W., Waseem, M., Arshed, A. B., Abbasi, A. H., Laraib, M., & Khalid, O. (2024). Flow Duration Curve Estimation at Ungauged Basın Using Regionalization Approaches. https://doi.org/10.21203/rs.3.rs-4185382/v1
  • Saka, F., & Törehan Babacan, H. (2019). Discharge Estimation by Drainage Area Ratio Method at Some Specific Discharges for 2251 Stream Gauging Station in East Black Sea Basin, Turkey. Journal of Investigations on Engineering & Technology (JIET), 2(1).
  • Saka, F., & Yüksek, Ö. (2017). Regionalisation of discharges having certain exceedance probabilities and Eastern Black Sea Basin sample. Journal of the Faculty of Engineering and Architecture of Gazi University, 32(2), 335–342. https://doi.org/10.17341/gazimmfd.322154
  • Sanchez Lozano, J. L., Rojas Lesmes, D. J., Romero Bustamante, E. G., Hales, R. C., Nelson, E. J., Williams, G. P., Ames, D. P., Jones, N. L., Gutierrez, A. L., & Cardona Almeida, C. (2025). Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model. Environmental Modelling and Software, 183. https://doi.org/10.1016/j.envsoft.2024.106235
  • Sarigil, G., Cavus, Y., Aksoy, H., & Eris, E. (2024). Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design. Stochastic Environmental Research and Risk Assessment, 38(8), 3079–3092. https://doi.org/10.1007/s00477-024-02732-0
  • Sauquet, E., & Catalogne, C. (2011). Comparison of catchment grouping methods for flow duration curve estimation at ungauged sites in France. Hydrology and Earth System Sciences, 15(8), 2421–2435. https://doi.org/10.5194/hess-15-2421-2011
  • Searcy, J. K. (1959). Flow-Duration Curves Manual of Hydrology: Part 2. Low-Flow Techniques. United States Goverment Printing Office.
  • Seçkin, N., & Topçu, E. (2016). Adana ve çevre illerde gözlenen yillik maksimum yagislarin bölgesel frekans analizi. Journal of the Faculty of Engineering and Architecture of Gazi University, 31(4), 1049–1062. https://doi.org/10.17341/gazimmfd.278460
  • Singh, R. D., Mishra, S. K., & Chowdhary, H. (2001). Regional Flow-Duration Models for Large Number of Ungauged Himalayan Catchments for Planning Microhydro Projects. Journal of Hydrologic Engineering, 6(4), 310–316. https://doi.org/10.1061/(ASCE)1084-0699(2001)6:4(310)
  • Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O’Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., & Zehe, E. (2003). IAHS Decade on Predictions in Ungauged Basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences. Hydrological Sciences Journal, 48(6), 857–880. https://doi.org/10.1623/hysj.48.6.857.51421
  • Smakhtin, V. U. (2001). Low flow hydrology: a review. Journal of Hydrology, 240, 147–186. www.elsevier.com/locate/jhydrol
  • Smakhtin, V. Y., Hughes, D. A., & Creuse-naudin, E. (1997). Regionalization of daily flow characteristics in part of the Eastern Cape, South Africa. Hydrological Sciences Journal, 42(6), 919–936. https://doi.org/10.1080/02626669709492088
  • Su Yönetimi Genel Müdürlüğü. (n.d.). Retrieved May 11, 2025, from https://www.tarimorman.gov.tr/SYGM/Sayfalar/Detay.aspx?SayfaId=150
  • Tănase, I., & Petre, C. (n.d.). A Regionalization Method of Flow Duration Curve for Estimating Streamflow in Ungauged Catchments.
  • Tarpanelli, A., & Domeneghetti, A. (2021). Flow duration curves from surface reflectance in the near infrared band. Applied Sciences (Switzerland), 11(8). https://doi.org/10.3390/app11083458
  • Tsuruta, K., Kosugi, Y., Katsuyama, M., Kosugi, K., Suzuki, M., & Tani, M. (2020). Long-term effects of evapotranspiration on the flow duration curve in a coniferous plantation forest over 40 years. Hydrological Research Letters, 14(1), 1–8. https://doi.org/10.3178/hrl.14.1
  • Tzoraki, O. (2020). Operating Small Hydropower Plants in Greece under Intermittent Flow Uncertainty: The Case of Tsiknias River (Lesvos). Challenges, 11(2), 17. https://doi.org/10.3390/challe11020017
  • Vogel, R. M., & Fennessey, N. M. (1994). Flow-Duration Curves. I: New Interpretation And Confidence Intervals. Journal of Water Resources Planning and Management, 120(4).
  • Vogel, R. M., & Fennessey, N. M. (1995). Flow Duration Curves Ll: A Review of Applications in Water Resources Planning. Water Resources Bulletin, 31(6).
  • Yi, S., Yoon, J., Lee, C., Lee, S., Ji, J., Lee, E., & Yi, J. (2025). Advancing flow duration curve prediction in ungauged basins using machine learning and deep learning. https://doi.org/10.5194/hess-2024-355
  • Yu, P.-S., Yang, T.-C., & Wang, Y.-C. (2002). Uncertainty Analysis of Regional Flow Duration Curves. Journal of Water Resources Planning and Management, 128(6), 424–430. https://doi.org/10.1061/(ASCE)0733-9496(2002)128, 6(424).
  • Zengin, M., Kurtoğlu, O., Şengül, H., & Çakmak, E. (2017). Impact Of Run-Of-River Hydropower Plants Operation On Aquatic Ecosystem And Trout (Salmo Labrax) Population in The Eastern Black Sea Region. Turkish Journal of Aquatic Sciences, 189–207. https://doi.org/10.18864/tjas201718
  • Zhao, W., Guan, X., Zhang, Z., Wang, Z., Wang, L., & Mamer, E. A. (2021). Development of flow-duration-frequency curves for episodic low streamflow. Advances in Water Resources, 156. https://doi.org/10.1016/j.advwatres.2021.104021

DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ

Yıl 2025, Cilt: 24 Sayı: 48, 380 - 397, 18.12.2025
https://doi.org/10.55071/ticaretfbd.1577087
https://izlik.org/JA99HM63XR

Öz

Su mühendisliği çalışmalarında debi tahmini kritik olup, Debi süreklilik eğrileri (DSE) hidrolojide önemli bir araç olarak kullanılmaktadır. Ancak, sadece akım gözlem istasyonlarında doğrudan oluşturulabiliyorken, ölçüm eksikliği olan veya ölçümü bulunmayan bölgelerde DSE tahminle oluşturulmaktadır. Bu çalışmada, DSE’nin Doğu Karadeniz Havza’sında matematiksel yöntemlerle bölgeselleştirme ile tahmini yapılmıştır. Havzadaki 39 adet akım gözlem istasyonu debi verileri ile meteoroloji istasyonlarının sıcaklık ve yağış verileri kullanılmıştır. DSE’nin genel şekline uyumu açısından logaritmik ve eksponansiyel denklemler kullanılarak her istasyonun %0-100 aşılma olasılıklarına karşılık gelen debi verileri analiz edilmiş ve regresyon katsayıları hesaplanmıştır. Eksponansiyel denklemde tahminin standart hata değerinin 0,312 ile logaritmik olandan daha iyi sonuç verdiği, her bir istasyon için bulunan denklemlerde belirleme katsayısının 0,869 ile logaritmik denklemlerden daha iyi olduğu gözlenmiştir. Ayrıca DSE’nin şekline uygunluğu da göz önüne alınarak eksponansiyel seçilmiş ve denklem katsayıları istasyonların topoğrafik ve iklimsel özellikleriyle ilişkilendirilmiştir ae katsayısının drenaj alanı ve ortalama yıllık toplam yağış değerleriyle tahmin edilebildiği iki farklı denklem, be katsayısının drenaj alanı, drenaj yoğunluğu, akarsu drenaj ağının ortalama eğimi ve ortalama yıllık toplam yağış değerleriyle tahmin edilebildiği beş farklı denklem bulunmuştur. Çalışma sonucunda, havza özellikleri ile elde edilecek ae ve be katsayıları yardımıyla, Doğu Karadeniz Havza’sındaki herhangi bir noktada, DSE’nin genel şeklini tahmin edebilmemize imkân sağlanmıştır.

Destekleyen Kurum

Karadeniz Teknik Üniversitesi-BAP

Kaynakça

  • Booker, D. J., & Snelder, T. H. (2012). Comparing methods for estimating flow duration curves at ungauged sites. Journal of Hydrology, 434–435, 78–94. https://doi.org/10.1016/j.jhydrol.2012.02.031
  • Castellarin, A., Galeati, G., Brandimarte, L., Montanari, A., & Brath, A. (2004). Regional flow-duration curves: Reliability for ungauged basins. Advances in Water Resources, 27(10), 953–965. https://doi.org/10.1016/j.advwatres.2004.08.005
  • Croker, K. M., Young, A. R., Zaidman, M. D., & Rees, H. G. (2003). Flow duration curve estimation in ephemeral catchments in Portugal. Hydrological Sciences Journal, 48(3), 427–439. https://doi.org/10.1623/hysj.48.3.427.45287
  • Demir, F. S., & Sevimli, V. F. (2022). Investigation of Base Flow Reserve in Konya Closed Basin. 2 nd Advanced Engineering Days.
  • Demir, V., & Tona, A. U. (2021). Debi-Sürek Eğrisi Yardımıyla Taban Akımının Hesaplaması: Samsun Kürtün Irmağı Örneği. European Journal of Science and Technology. https://doi.org/10.31590/ejosat.916024
  • Devlet Su İşleri. (2024, December). DSİ 2023 Yılı Resmi Su Kaynakları İstatistikleri. https://www.dsi.gov.tr/Sayfa/Detay/1916
  • Dey, P., Mathai, J., Sivapalan, M., & Mujumdar, P. P. (2024). On the regional-scale variability in flow duration curves in Peninsular India. Hydrology and Earth System Sciences, 28(7), 1493–1514. https://doi.org/10.5194/hess-28-1493-2024
  • Eshra, N. M., Zobaa, A. F., & Abdel Aleem, S. H. E. (2021). Assessment of mini and micro hydropower potential in Egypt: Multi-criteria analysis. Energy Reports, 7, 81–94. https://doi.org/10.1016/j.egyr.2020.11.165
  • Fennessey, N., & Vogel, R. M. (1990). Regional Flow-Duration Curves for Ungauged Sites in Massachusetts. Journal of Water Resources Planning and Management, 116(4).
  • Franchini, M., & Suppo, M. (1996). Regional Analysis of Flow Duration Curves for a Limestone Region. Water Resources Management, 10, 199–218.
  • Ghotbi, S., Wang, D., Singh, A., Blöschl, G., & Sivapalan, M. (2020). A New Framework for Exploring Process Controls of Flow Duration Curves. Water Resources Research, 56(1). https://doi.org/10.1029/2019WR026083
  • Göğsu, S., & Özgür Hastaoğlu, K. (2019). Ters Mesafe Ağırlıklı Enterpolasyon Yönteminde Güç Fonksiyonu Etkisinin İncelenmesi (17).
  • Goodarzi, M. R., & Vazirian, M. (2023). A geostatistical approach to estimate flow duration curve parameters in ungauged basins. Applied Water Science, 13(9). https://doi.org/10.1007/s13201-023-01993-4
  • Ibarra, D. E., David, C. P. C., & Tolentino, P. L. M. (2021). Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines. Hydrology and Earth System Sciences, 25(5), 2805–2820.
  • Karimi, S., Salarijazi, M., Ghorbani, K., & Heydari, M. (2021). Comparative assessment of environmental flow using hydrological methods of low flow indexes, Smakhtin, Tennant and flow duration curve. Acta Geophysica, 69(1), 285–293.
  • Kazemi, R., & Porhemmat, J. (2018). Investigating the effect of hierarchical clustering methods on accurately modeling of runoff coefficient in Karkheh Basin. Watershed Engineering and Management, 10(1), 81–94.
  • Khaliq, M. (2020). Assessment of Canada’s hydrokinetic resources : A review of hydrologic considerations. National Research Council Canada = Conseil national de recherches Canada.
  • Kim, D., Jung, I. W., & Chun, J. A. (2017). A comparative assessment of rainfall-runoff modelling against regional flow duration curves for ungauged catchments. Hydrology and Earth System Sciences, 21(11), 5647–5661.
  • Lan, T., Zhang, J., Li, H., Zhang, H., Gong, X., Sun, J., Chen, Y. D., & Xu, C. Y. (2025). Flow duration curve prediction: A framework integrating regionalization and copula model. Journal of Hydrology, 647. https://doi.org/10.1016/j.jhydrol.2024.132364
  • Lane, P. N. J., Best, A. E., Hickel, K., & Zhang, L. (2005). The response of flow duration curves to afforestation. Journal of Hydrology, 310(1–4), 253–265. https://doi.org/10.1016/j.jhydrol.2005.01.006
  • LeBoutillier, D. W., & Waylen, P. R. (1993). A stochastic model of flow duration curves. Water Resources Research, 29(10), 3535–3541. https://doi.org/10.1029/93WR01409
  • Ley, A., Bormann, H., & Casper, M. (2023). Intercomparing LSTM and RNN to a Conceptual Hydrological Model for a Low-Land River with a Focus on the Flow Duration Curve. Water (Switzerland), 15(3). https://doi.org/10.3390/w15030505
  • Luan, J., Liu, D., Lin, M., & Huang, Q. (2021). The construction of the flow duration curve and the regionalization parameters analysis in the northwest of China. Journal of Water and Climate Change, 12(6), 2639–2653. https://doi.org/10.2166/wcc.2021.324
  • Ma, L., Liu, D., Luan, J., Ming, G., Meng, X., & Huang, Q. (2024). Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China. Journal of Hydrology, 635. https://doi.org/10.1016/j.jhydrol.2024.131235
  • Mimikou, M., & Kaemaki, S. (1985). Regionalization of flow duration characteristics. Journal of Hydrology, 82(1), 77–91. https://doi.org/https://doi.org/10.1016/0022-1694(85)90048-4
  • Morrison, M. A., & Bonta, J. V. (2008). Development of Duration-Curve Based Methods for Quantifying Variability and Change in Watershed Hydrology and Water Quality.
  • Müller, M. F., Dralle, D. N., & Thompson, S. E. (2014). Analytical model for flow duration curves in seasonally dry climates. Water Resources Research, 50(7), 5510–5531. https://doi.org/10.1002/2014WR015301
  • Naito, K., & Parker, G. (2019). Can Bankfull Discharge and Bankfull Channel Characteristics of an Alluvial Meandering River be Cospecified From a Flow Duration Curve? Journal of Geophysical Research: Earth Surface, 124(10), 2381–2401. https://doi.org/10.1029/2018JF004971
  • Niadas, I.A. (2005). Regional flow duration curve estimation in small ungauged catchments using instantaneous flow measurements and a censored data approach. Journal of Hydrology, 314(1–4), 48–66.
  • Orta, S., & Aksoy, H. (2022). Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis. Water Resources Management, 36(5), 1521–1534.
  • Palizban, P., Zahraie, B., & Dolatabadi, N. (2025). Estimation of standardized flow Duration curve for gauged and ungauged basins. Journal of Hydrology, 653. https://doi.org/10.1016/j.jhydrol.2025.132787
  • Quimpo, R., Alejandrino, A., & McNally, T. (1983). Regionalized Flow Duration Curves for Philippines. Journal of Water Resources Planning and Management-Asce - Journal of Water Resources Planning and Management - ASCE, 109. https://doi.org/10.1061/(ASCE)0733-9496(1983)109:4(320)
  • Ridolfi, E., Kumar, H., & Bárdossy, A. (2018). A methodology to estimate flow duration curves at partially ungauged basins. https://doi.org/10.5194/hess-2018-347
  • Sajjad, H. W., Waseem, M., Arshed, A. B., Abbasi, A. H., Laraib, M., & Khalid, O. (2024). Flow Duration Curve Estimation at Ungauged Basın Using Regionalization Approaches. https://doi.org/10.21203/rs.3.rs-4185382/v1
  • Saka, F., & Törehan Babacan, H. (2019). Discharge Estimation by Drainage Area Ratio Method at Some Specific Discharges for 2251 Stream Gauging Station in East Black Sea Basin, Turkey. Journal of Investigations on Engineering & Technology (JIET), 2(1).
  • Saka, F., & Yüksek, Ö. (2017). Regionalisation of discharges having certain exceedance probabilities and Eastern Black Sea Basin sample. Journal of the Faculty of Engineering and Architecture of Gazi University, 32(2), 335–342. https://doi.org/10.17341/gazimmfd.322154
  • Sanchez Lozano, J. L., Rojas Lesmes, D. J., Romero Bustamante, E. G., Hales, R. C., Nelson, E. J., Williams, G. P., Ames, D. P., Jones, N. L., Gutierrez, A. L., & Cardona Almeida, C. (2025). Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model. Environmental Modelling and Software, 183. https://doi.org/10.1016/j.envsoft.2024.106235
  • Sarigil, G., Cavus, Y., Aksoy, H., & Eris, E. (2024). Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design. Stochastic Environmental Research and Risk Assessment, 38(8), 3079–3092. https://doi.org/10.1007/s00477-024-02732-0
  • Sauquet, E., & Catalogne, C. (2011). Comparison of catchment grouping methods for flow duration curve estimation at ungauged sites in France. Hydrology and Earth System Sciences, 15(8), 2421–2435. https://doi.org/10.5194/hess-15-2421-2011
  • Searcy, J. K. (1959). Flow-Duration Curves Manual of Hydrology: Part 2. Low-Flow Techniques. United States Goverment Printing Office.
  • Seçkin, N., & Topçu, E. (2016). Adana ve çevre illerde gözlenen yillik maksimum yagislarin bölgesel frekans analizi. Journal of the Faculty of Engineering and Architecture of Gazi University, 31(4), 1049–1062. https://doi.org/10.17341/gazimmfd.278460
  • Singh, R. D., Mishra, S. K., & Chowdhary, H. (2001). Regional Flow-Duration Models for Large Number of Ungauged Himalayan Catchments for Planning Microhydro Projects. Journal of Hydrologic Engineering, 6(4), 310–316. https://doi.org/10.1061/(ASCE)1084-0699(2001)6:4(310)
  • Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O’Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., & Zehe, E. (2003). IAHS Decade on Predictions in Ungauged Basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences. Hydrological Sciences Journal, 48(6), 857–880. https://doi.org/10.1623/hysj.48.6.857.51421
  • Smakhtin, V. U. (2001). Low flow hydrology: a review. Journal of Hydrology, 240, 147–186. www.elsevier.com/locate/jhydrol
  • Smakhtin, V. Y., Hughes, D. A., & Creuse-naudin, E. (1997). Regionalization of daily flow characteristics in part of the Eastern Cape, South Africa. Hydrological Sciences Journal, 42(6), 919–936. https://doi.org/10.1080/02626669709492088
  • Su Yönetimi Genel Müdürlüğü. (n.d.). Retrieved May 11, 2025, from https://www.tarimorman.gov.tr/SYGM/Sayfalar/Detay.aspx?SayfaId=150
  • Tănase, I., & Petre, C. (n.d.). A Regionalization Method of Flow Duration Curve for Estimating Streamflow in Ungauged Catchments.
  • Tarpanelli, A., & Domeneghetti, A. (2021). Flow duration curves from surface reflectance in the near infrared band. Applied Sciences (Switzerland), 11(8). https://doi.org/10.3390/app11083458
  • Tsuruta, K., Kosugi, Y., Katsuyama, M., Kosugi, K., Suzuki, M., & Tani, M. (2020). Long-term effects of evapotranspiration on the flow duration curve in a coniferous plantation forest over 40 years. Hydrological Research Letters, 14(1), 1–8. https://doi.org/10.3178/hrl.14.1
  • Tzoraki, O. (2020). Operating Small Hydropower Plants in Greece under Intermittent Flow Uncertainty: The Case of Tsiknias River (Lesvos). Challenges, 11(2), 17. https://doi.org/10.3390/challe11020017
  • Vogel, R. M., & Fennessey, N. M. (1994). Flow-Duration Curves. I: New Interpretation And Confidence Intervals. Journal of Water Resources Planning and Management, 120(4).
  • Vogel, R. M., & Fennessey, N. M. (1995). Flow Duration Curves Ll: A Review of Applications in Water Resources Planning. Water Resources Bulletin, 31(6).
  • Yi, S., Yoon, J., Lee, C., Lee, S., Ji, J., Lee, E., & Yi, J. (2025). Advancing flow duration curve prediction in ungauged basins using machine learning and deep learning. https://doi.org/10.5194/hess-2024-355
  • Yu, P.-S., Yang, T.-C., & Wang, Y.-C. (2002). Uncertainty Analysis of Regional Flow Duration Curves. Journal of Water Resources Planning and Management, 128(6), 424–430. https://doi.org/10.1061/(ASCE)0733-9496(2002)128, 6(424).
  • Zengin, M., Kurtoğlu, O., Şengül, H., & Çakmak, E. (2017). Impact Of Run-Of-River Hydropower Plants Operation On Aquatic Ecosystem And Trout (Salmo Labrax) Population in The Eastern Black Sea Region. Turkish Journal of Aquatic Sciences, 189–207. https://doi.org/10.18864/tjas201718
  • Zhao, W., Guan, X., Zhang, Z., Wang, Z., Wang, L., & Mamer, E. A. (2021). Development of flow-duration-frequency curves for episodic low streamflow. Advances in Water Resources, 156. https://doi.org/10.1016/j.advwatres.2021.104021
Toplam 56 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Su Kaynakları Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Fatih Saka 0000-0003-0956-8658

Menar Acluni 0009-0008-5349-7424

Ömer Yüksek 0000-0002-3425-1890

Gönderilme Tarihi 31 Ekim 2024
Kabul Tarihi 2 Haziran 2025
Erken Görünüm Tarihi 9 Aralık 2025
Yayımlanma Tarihi 18 Aralık 2025
DOI https://doi.org/10.55071/ticaretfbd.1577087
IZ https://izlik.org/JA99HM63XR
Yayımlandığı Sayı Yıl 2025 Cilt: 24 Sayı: 48

Kaynak Göster

APA Saka, F., Acluni, M., & Yüksek, Ö. (2025). DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 24(48), 380-397. https://doi.org/10.55071/ticaretfbd.1577087
AMA 1.Saka F, Acluni M, Yüksek Ö. DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. 2025;24(48):380-397. doi:10.55071/ticaretfbd.1577087
Chicago Saka, Fatih, Menar Acluni, ve Ömer Yüksek. 2025. “DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24 (48): 380-97. https://doi.org/10.55071/ticaretfbd.1577087.
EndNote Saka F, Acluni M, Yüksek Ö (01 Aralık 2025) DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24 48 380–397.
IEEE [1]F. Saka, M. Acluni, ve Ö. Yüksek, “DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ”, İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, c. 24, sy 48, ss. 380–397, Ara. 2025, doi: 10.55071/ticaretfbd.1577087.
ISNAD Saka, Fatih - Acluni, Menar - Yüksek, Ömer. “DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24/48 (01 Aralık 2025): 380-397. https://doi.org/10.55071/ticaretfbd.1577087.
JAMA 1.Saka F, Acluni M, Yüksek Ö. DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. 2025;24:380–397.
MLA Saka, Fatih, vd. “DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, c. 24, sy 48, Aralık 2025, ss. 380-97, doi:10.55071/ticaretfbd.1577087.
Vancouver 1.Saka F, Acluni M, Yüksek Ö. DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi [Internet]. 01 Aralık 2025;24(48):380-97. Erişim adresi: https://izlik.org/JA99HM63XR