Prediction of daily flow duration curves and streamflow for ungauged catchments using regional flow duration curves

Mohamoud, Yusuf M.

doi:10.1623/hysj.53.4.706

Cited by 154 publications

(137 citation statements)

References 34 publications

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“…The area under the curve represents the total runoff volume in the period of record. A wide range of uses are associated with FDCs: water availability studies, hydropower generation and reservoir operation, water quality assessment (Cole et al 2003), hydrological regional analysis (Mohamoud 2008) and, more recently, the indirect calibration of the parameters of rainfall-runoff models (Liu and Han 2010, Pinheiro and Naghettini 2010, Westenberg et al 2011, Prafulla et al 2012.…”

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confidence: 99%

Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall–runoff model

Costa

Fernandes

Naghettini

2014

Hydrological Sciences Journal

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Editor D. KoutsoyiannisCitation Costa, V., Fernandes, W., and Naghettini, M., 2013. Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall-runoff model. Hydrological Sciences Journal, 59 (2), 262-277.Abstract One of the main challenges faced by hydrologists and water engineers is the estimation of variables needed for water resources planning and management in ungauged river basins. To this end, techniques for transposing information, such as hydrological regional analyses, are widely employed. A method is presented for regionalizing flow-duration curves (FDCs) in perennial, intermittent and ephemeral rivers, based on the extended Burr XII probability distribution. This distribution shows great flexibility to fit data, with accurate reproduction of flow extremes. The performance analysis showed that, in general, the regional models are able to synthesize FDCs in ungauged basins, with a few possible drawbacks in the application of the method to intermittent and ephemeral rivers. In addition to the regional models, we summarize the experience of using synthetic FDCs for the indirect calibration of the Rio Grande rainfall-runoff model parameters in ungauged basins.

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confidence: 99%

Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall–runoff model

Costa

Fernandes

Naghettini

2014

Hydrological Sciences Journal

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“…Ayrıca bir havzadaki mevcut Akarsu Gözlem İstasyonu (AGİ) verilerindeki eksikliklerin giderilebilmesi için debi süreklilik çizgilerinden de (DSÇ) faydalanılabilir (ör. Hughes and Smakhtin, 1996;Mohamoud, 2008). Kullanılan yöntemlerden bağımsız olarak öncelikle istasyonlar arasında yüksek bir korelasyonun varlığına bakılmalıdır (Burgess and Webster, 1980).…”

Section: Introductionunclassified

Estimation of Missing Streamflow Records in the Euphrates Basin using Flow Duration Curves and Regression Models

İspirli¹,

Gürbüz²,

Şengül³

et al. 2017

jist

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ÖZET: Herhangi bir bölgedeki su yapılarının tasarımı, planlanması ve işletilmesinde akım verileri oldukça önemli rol oynamaktadır. Bu akım verilerinin amaca ulaşmada etkin bir biçimde kullanılabilmesi için istatistiksel açıdan yeterli uzunlukta olması ve gözlem süresinde eksik verisinin bulunmaması gerekmektedir. Fakat, akım ölçümlerinde genellikle eksik kısımlar bulunmakta ve bu eksik verilerin güvenirliliği ispatlanmış yöntemler ile tahmin edilmesi gerekmektedir. Bu çalışmada, Fırat Havzasının Yukarı ve Orta Fırat kısımlarında bulunan 2119, 2151, 2149, 2158 ve 2122 nolu akım gözlem istasyonlarındaki (AGİ) eksik akım verileri Debi Süreklilik Çizgileri ve Regresyon Modelleri ile tahmin edilmiştir. Her bir istasyon için kurulan alternatif modeller içerisinden en iyi modelin belirlenmesi aşamasında modelin determinasyon (R 2 ) ve hata karelerinin ortalamasının karekökü (RMSE) katsayıları kullanılmıştır. Elde edilen bulgulara göre her iki yöntemde de yüksek R 2 'ye sahip oldukça başarılı sonuçlar elde edilmiştir. Buna ek olarak, 2151, 2119, 2122 ve 2158 nolu istasyonlar için Regresyon modelleri, 2149 nolu istasyon için ise Debi Süreklilik Çizgileri yöntemi ile yapılan tahminlerin tarihi serilerin temel istatistiksel özelliklerini (ortalama, standart sapma, çarpıklık katsayısı v.b) korumada daha başarılı olduğu görülmüştür.Anahtar Kelimeler: Debi süreklilik çizgileri, eksik akım verileri, Fırat Havzası, regresyon modelleri ABSTRACT: Streamflow records play important role for design, planning and management of water structures in any region. In order to use the streamflow efficiently for these purposes, the length of data records must be statistically sufficient and complete. But, there are usually some gaps at the streamflow records and these gaps must be infilled by means of reliable methods. In this study, the missing streamflow records in the gauge stations 2119, 2151, 2149, 2158 and 2122, which are located in the upper and middle parts of the Euphrates Basin, were estimated using Flow Duration Curves and Regression Models. To define the best model among alternatives, determination coefficient (R 2 ) and Root Mean Square Error (RMSE) were used. According to the results, both of the models produced successful results with a high value of R 2 . Moreover, the results showed that the Regression Models for the stations 2151, 2119, 2122 and 2158 and Flow Duration Curves for the station 2149 were more capable to preserve the main statistical properties of the historical data.

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“…Many regional FDC methods have been proposed for generating streamflows in ungauged watersheds. Shu and Ouarda (2012) categorized the regional FDC methods as a statistical approach (e.g., Claps et al, 2005), a parametric approach (e.g., Yu et al, 2002;Mohamoud, 2008), and a graphical approach (e.g., Smakhtin et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Predicting streamflows in snowmelt-driven watersheds using the flow duration curve method

Kim

Kaluarachchi

2014

Hydrol. Earth Syst. Sci.

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Abstract. Predicting streamflows in snow-fed watersheds in the Western United States is important for water allocation. Since many of these watersheds are heavily regulated through canal networks and reservoirs, predicting expected natural flows and therefore water availability under limited data is always a challenge. This study investigates the applicability of the flow duration curve (FDC) method for predicting natural flows in gauged and regulated snow-fed watersheds. Point snow observations, air temperature, precipitation, and snow water equivalent were used to simulate the snowmelt process with the SNOW-17 model, and extended to streamflow simulation using the FDC method with a modified current precipitation index. For regulated watersheds, a parametric regional FDC method was applied to reconstruct natural flow. For comparison, a simplified tank model was used considering both lumped and semi-distributed approaches. The proximity regionalization method was used to simulate streamflows in the regulated watersheds with the tank model. The results showed that the FDC method is capable of producing satisfactory natural flow estimates in gauged watersheds when high correlation exists between current precipitation index and streamflow. For regulated watersheds, the regional FDC method produced acceptable river diversion estimates, but it seemed to have more uncertainty due to less robustness of the FDC method. In spite of its simplicity, the FDC method is a practical approach with less computational burden for studies with minimal data availability.

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Prediction of daily flow duration curves and streamflow for ungauged catchments using regional flow duration curves

Cited by 154 publications

References 34 publications

Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall–runoff model

Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall–runoff model

Estimation of Missing Streamflow Records in the Euphrates Basin using Flow Duration Curves and Regression Models

Predicting streamflows in snowmelt-driven watersheds using the flow duration curve method

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