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Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin

Yıl 2018, Cilt: 33 Sayı: 2, 99 - 110, 06.01.1019

Öz

The Soil and Water Assessment Tool (SWAT) was used to model the hydrological water balance from the
Seyhan river basin located in Turkey. The model sensitivity analysis and auto-calibration were conducted at
four sites (i.e., Uctepe, Himmetli, Korkun and Zamanti) using the Sequential Uncertainty Fitting (SUFI-2), the
Generalized Likelihood Uncertainty Estimation (GLUE) and Parameter Solution (ParaSol) algorithms in the
SWAT-Calibration Uncertainty Programs (SWAT-CUP) package. The sensitivity analysis showed that the
base-flow alpha factor (ALPHA_BF) and SCS runoff curve number (CN2) are the most sensitive parameters
for this catchment. All sources of uncertainties were captured by bracketing more than 60% of the observed
river discharge when using SUFI-2 and ParaSol except for ParaSol at Uctepe (57%). Streamflow calibration
was done at a monthly time step for the period of 2001-2007. The results showed that ParaSol gave better
results than those obtained by SUFI-2 and GLUE with regard to the Nash Sutcliffe Efficiency (NSE). Among
all of the calibrated sites and the various calibration algorithms, the highest NSE (0.74) was obtained when the
model was calibrated at Zamanti using the ParaSol algorithm. 

Kaynakça

  • Abbaspour, K.C., Faramarzi, M., Ghasemi, S.S.& Yang H., (2009). Assessing the impact of climate change on water resources in Iran. Water Resour. Res. 45, 1-16.
  • Abbaspour, K.C., Vejdani, M. & Haghighat, S., (2007a). SWATCUP calibration and uncertainty programs for SWAT. In Proc. Intl. Congress on Modelling and Simulation (MODSIM’07), 1603-1609. L. Oxley and D. Kulasiri, eds. Melbourne, Australia: Modelling and Simulation Society of Australia and New Zealand.
  • Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J. & Srinivasan, R., (2007b). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT., J. Hydrol.333, 413–430.
  • Acar, A. & Dincer, I., (2005). Left upstream slope design for the Catalan Dam, Adana, Turkey and its behavior under actual earthquake loading. Eng. Geol. 82, 1– 11.
  • Akiner, M.E. & Akkoyunlu, A., (2012). Modeling and forecasting river flow rate from the Melen Watershed, Turkey. J. Hydrol. 456–457,121–129.
  • Allen, R.G., (1997). Self-Calibrating Method for Estimat¬ing Solar Radiation from Air Temperature. J. Hydrol. Eng. 2(2), 56-67.
  • Allen, R.G., Walter, I.A., Elliot, R.L. & Howell, T.A., (2005). The ASCE Standardized Reference Evapotranspiration Equation. Reston, VA: American Society of Civil Engineers.
  • Arnold, J.G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., van Griensven, A., M. W., Van Liew, Kannan, N., & Jha, M. K., (2012). SWAT: model use, calibration and validation. Trans. ASABE,55(4),1491-1508.
  • Arnold, J.G., Srinivasan, R., Muttiah, R.S. & Williams, J.R., (1998). Large area hydrologic modeling and assessment. Part I: Model development. J. Am. Water Resour. As. 34 (1), 73-89.
  • Beven, K. & Binley A., (1992). The future of distributed models – Model calibration and uncertainty prediction. Hydrol. Process. 6(3), 279–298.
  • Beven, K.J., Lamb, R., Quinn, P.F., Romanowicz, R. & Freer, J., (1995). Chapter 18: TOPMODEL. In: Computer Models of Watershed Hydrology (V.P. Singh, ed.), Water Resources Publications, Colorado, pp. 627-668.
  • Cao, W.Z., Bowden, W.B., Davie, T. & Fenemor, A., (2006). Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability. Hydrol. Process.20,1057-1073.
  • Cho, J., Bosch, D., Vellidis, G., Lowrance, R. & Strickland, T., (2013). Multi-site evaluation of hydrology component of SWAT in the coastal plain of southwest Georgia. Hydrol. Process.27, 1691-1700.
  • Crawfod, N.H. & Linsley, R.K. Jr., (1966). Digital simulation in hydrology: Stanford Watershed Model IV. In: Technical Report No. 39. Department of Civil Engineering, Stanford University. Stanford (California)
  • Di Luzio, M., Srinivasan, R., & Arnold, J.G., (2001). ArcView Interface for SWAT2000 - User’s Guide, Blackland Research Center, Texas Agricultural Experiment Station and Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.
  • Douglas-Mankin, K.R., Srinivasan, R. & Arnold, J.G., (2010). Soil and Water Assessment Tool (SWAT) model: Current development and applications. Trans. ASABE 53(5): 1423-1431.
  • Duan, Q.Y., Sorooshian, S., Gupta, V., (1992). Effective and efficient global optimization for conceptual rainfall–runoff models. Water Resour. Res. 28 (4), 1015–1031.
  • Duffie, J.A. & Beckman, W.A., (1993). Solar Engineering of Thermal Processes, Wiley, New York, as summarized in Maidment, Handbook of Hydrology, pp 919.Eckhardt, K., Fohrer, N. & Frede, H.G., (2005). Automatic model calibration. Hydrol. Process. 19, 651–658.
  • Engel, B. A., Srinivasan, R., Arnold, J. G., Rewerts, C. & Brown, S. J., (1993). Nonpoint-source (NPS) pollution modeling using models integrated with geographic information systems (GIS). Water Sci. Tech.28 (3-5), 685-690.
  • Tanaka, K., Watanabe, T., Nagano, T. & Kojiri, T., (2008). Assessing the impacts of climate change on the water resources of the Seyhan River Basin in Turkey: Use of dynamically downscaled data for hydrologic simulations. J. Hydrol. 353, 33– 48.
  • Graham, D.N. & Butts, M.B., (2006). Flexible, integrated watershed modelling with MIKE-SHE. In: Watershed Models (Singh, V.P. &Frevert, D.K. eds.), CRC press, pp. 245-272.
  • Hargreaves, G.H. & Samani, Z.A., (1982). Estimating Potential Evapotranspiration. J. Irrig. Drain. Eng. 108(3), 223-230.
  • Huffman, G.J., Bolvin, D.T., Nelkin, E.J. & Wolff, D.B., (2007). The TRMM Multisatellite precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. J. Hydrometeorol.8, 38-55.
  • Hydrologic Engineering Center (HEC-1)., 1981. Development of a knowledge-based expert system for water resource problems. Final report, SRI project 1619, SRI international, California.
  • Irvem, A., Topaloglu, F. & Uygur, V., (2007). Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J. Hydrol.336, 30– 37.
  • Lin, Z. & Radcliffe, D.E., (2006). Automatic calibration and predictive uncertainty analysis of a semi distributed watershed model. Vadose Zone J. 5:248-260.
  • Luo, P., Takara, K., He, B., Cao, W., Yamashiki, Y. & Nover, D., (2011). Calibration and uncertainty analysis of SWAT model in a Japanese river catchment. J. Jpn. Soc. Civil Eng., Ser.B1 Hydraulic Engineering, Vol. 67, No. 4, I:61-I:66
  • Moriasi, D.N., Arnold, J.G., van Liew, M.W., Bingner, R.L., Harmel, R.D. & Veith, T.L., (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE, 50(3), 885–900.
  • Nash, J.E., Sutcliffe, J.V., (1970). River flow forecasting through conceptual models. Part 1: discussion of principles. J. Hydrol. 10: 282–290.
  • Niraula, R., Norman, L.M., Meixner, T. & Callegary, J.B., (2012). Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT. Air, Soil Water Res. 5, 41–57
  • Qi, C. & Grunwald, S., (2005). GIS-based hydrologic modeling in the Sandusky watershed using SWAT. Trans. ASAE, 48, 1,169-180.
  • Rostamiani, R., Jaleh, A., Afyuni, M., Mousavi, S.F., Heidarpour, M., Jalalian, A. & Abbaspour K.C., (2008). Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrol. Sci. J. 53(5), 977-988.
  • Schuol, J., Abbaspour, K.C., Yang, H., Srinivasan, R. & Zhender A.J.B., (2008). Modeling blue and green water availability in Africa. Water Resour. Res. 44(W07406), 1-18
  • Setegn, S.G., Srinivasan, R., Melesse, A.M. & Dargahi, B., (2010). SWAT model application and prediction uncertainty analysis in the Lake Tana basin, Ethiopia. Hydrol. Process. 24,357-367.
  • Singh V., Bankar, N., Salunkhe, S.S., Bera, A.K. & Sharma J.R., (2013). Hydrological stream flow modelling on Tungabhadra catchment: parameterization and uncertainty analysis using SWAT CUP. Curr. Sci.104 (9), 1187-1199.
  • Sugawara, M., Ozaki, E., Watanabe, I. & Katsuyama, Y., (1974). Tank model and its application to Bird Creek, Wollombi Brook, Bikin River, Kitsu River, Sanga River. Research Note, National Research Centre for Disease Prevention, No. 11, Kyoto, Japan, 1-64.
  • Tuppad, P., Douglas-Mankin K. R., Lee T, Srinivasan R, & Arnold J.G., (2011). Soil and Water Assessment Tool (SWAT) hydrologic/water quality model: Extended capability and wider adoption. Trans. ASABE 54(5): 1677-1684.
  • van Griensven, A. & Bauwens, W., (2003). Multiobjective autocalibration for semidistributed water quality models. Water Resour. Res., 39(12), 1348, doi:10.1029/2003WR002284.
  • van Griensven, A. & Meixner, T., (2006). Methods to quantify and identify the sources of uncertainty for river basin water quality models. Water Sci.Technol., 53(1), 51–59.
  • Van Liew, M.W., Veith, T.L., Bosch, D.D. & Arnold J.G., (2007). Suitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds. J. Hydrol. Eng.12 (2), 173-189.
  • Vrugt, J.A., Gupta, H.V., Bouten, W. & Sorooshian, S., (2003). A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res., 39(8), 1201, doi: 10.1029/2002WR001642.
  • White, K.L. & Chaubey, I., (2005). Sensitivity analysis, calibration, and validations for a multisite and multivariable SWAT model. J.Am.Water Resour. Ass.41, 1077-1089.
  • Winchell, M., Srinivasan, R., Di Luzio, M. & Arnold, J.G., (2007). Arc-SWAT interface for SWAT2005 - User’s guide, Blackland Research Center, Texas Agricultural Experiment Station and Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.
  • Yang, J., Reichert, P., Abbaspour, K.C., Xia, J. & Yang, H., (2008). Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. J. Hydrol. 358, 1– 23
  • Zhang, X., Srinivasan, R., Van Liew, M., (2008). Multi-site calibration of the SWAT model for hydrologic modeling. Trans. ASABE, 51, 2039-2049.

Seyhan Havzasında SWAT Modeli İle Nehir Akış Simülasyonu Ve Değerlendirilmesi

Yıl 2018, Cilt: 33 Sayı: 2, 99 - 110, 06.01.1019

Öz

Toprak ve Su Değerlendirme Yazılımı (SWAT) Türkiye'de bulunan Seyhan nehri havzasında hidrolojik işlemleri su bütçesini temel alarak simüle etmek için kullanılmıştır. Model duyarlılık analizi ve otomatik kalibrasyonlar, SWAT-Kalibrasyon paket programında (SWAT-CUP) bulunan, Sıralı Belirsizlik Uygunluğu (SUFI-2), Genelleştirilmiş Olabilir Belirsizlik Tahmini (GLUE) ve Parametre Çözümü (ParaSol) algoritmaları kullanılarak, Üçtepe, Himmetli, Korkun ve Zamantı akarsuları için yapılmıştır. Duyarlılık analizi sonucunda, Baz Akış Alfa Faktörü (ALPHA_BF) ve SCS akış eğri numarasının (CN2) bu havza için akıma etki eden en hassas parametreler olduğunu göstermiştir. Gözlenen akım verilerinde tüm belirsizlik kaynaklarının ParaSol sonucunda Üçtepe (% 57) hariç, SUFI-2 ve ParaSol sonuçlarında %60’dan fazla olduğu görülmüştür. Akış verilerinin kalibrasyonu aylık bazda 2001-2007 dönemi için yapılmıştır. Nash Sutcliffe Katsayısına (NSE) göre ParaSol, SUFI-2 ve GLUE’ye göre daha iyi sonuçlar vermiştir. Kullanılan kalibrasyon algoritmaları arasında en iyi sonuç, (NSE=0.74) Zamanti akış verilerinin Parasol algoritması ile kalibrasyonu sonucu bulunmuştur.

Kaynakça

  • Abbaspour, K.C., Faramarzi, M., Ghasemi, S.S.& Yang H., (2009). Assessing the impact of climate change on water resources in Iran. Water Resour. Res. 45, 1-16.
  • Abbaspour, K.C., Vejdani, M. & Haghighat, S., (2007a). SWATCUP calibration and uncertainty programs for SWAT. In Proc. Intl. Congress on Modelling and Simulation (MODSIM’07), 1603-1609. L. Oxley and D. Kulasiri, eds. Melbourne, Australia: Modelling and Simulation Society of Australia and New Zealand.
  • Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J. & Srinivasan, R., (2007b). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT., J. Hydrol.333, 413–430.
  • Acar, A. & Dincer, I., (2005). Left upstream slope design for the Catalan Dam, Adana, Turkey and its behavior under actual earthquake loading. Eng. Geol. 82, 1– 11.
  • Akiner, M.E. & Akkoyunlu, A., (2012). Modeling and forecasting river flow rate from the Melen Watershed, Turkey. J. Hydrol. 456–457,121–129.
  • Allen, R.G., (1997). Self-Calibrating Method for Estimat¬ing Solar Radiation from Air Temperature. J. Hydrol. Eng. 2(2), 56-67.
  • Allen, R.G., Walter, I.A., Elliot, R.L. & Howell, T.A., (2005). The ASCE Standardized Reference Evapotranspiration Equation. Reston, VA: American Society of Civil Engineers.
  • Arnold, J.G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., van Griensven, A., M. W., Van Liew, Kannan, N., & Jha, M. K., (2012). SWAT: model use, calibration and validation. Trans. ASABE,55(4),1491-1508.
  • Arnold, J.G., Srinivasan, R., Muttiah, R.S. & Williams, J.R., (1998). Large area hydrologic modeling and assessment. Part I: Model development. J. Am. Water Resour. As. 34 (1), 73-89.
  • Beven, K. & Binley A., (1992). The future of distributed models – Model calibration and uncertainty prediction. Hydrol. Process. 6(3), 279–298.
  • Beven, K.J., Lamb, R., Quinn, P.F., Romanowicz, R. & Freer, J., (1995). Chapter 18: TOPMODEL. In: Computer Models of Watershed Hydrology (V.P. Singh, ed.), Water Resources Publications, Colorado, pp. 627-668.
  • Cao, W.Z., Bowden, W.B., Davie, T. & Fenemor, A., (2006). Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability. Hydrol. Process.20,1057-1073.
  • Cho, J., Bosch, D., Vellidis, G., Lowrance, R. & Strickland, T., (2013). Multi-site evaluation of hydrology component of SWAT in the coastal plain of southwest Georgia. Hydrol. Process.27, 1691-1700.
  • Crawfod, N.H. & Linsley, R.K. Jr., (1966). Digital simulation in hydrology: Stanford Watershed Model IV. In: Technical Report No. 39. Department of Civil Engineering, Stanford University. Stanford (California)
  • Di Luzio, M., Srinivasan, R., & Arnold, J.G., (2001). ArcView Interface for SWAT2000 - User’s Guide, Blackland Research Center, Texas Agricultural Experiment Station and Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.
  • Douglas-Mankin, K.R., Srinivasan, R. & Arnold, J.G., (2010). Soil and Water Assessment Tool (SWAT) model: Current development and applications. Trans. ASABE 53(5): 1423-1431.
  • Duan, Q.Y., Sorooshian, S., Gupta, V., (1992). Effective and efficient global optimization for conceptual rainfall–runoff models. Water Resour. Res. 28 (4), 1015–1031.
  • Duffie, J.A. & Beckman, W.A., (1993). Solar Engineering of Thermal Processes, Wiley, New York, as summarized in Maidment, Handbook of Hydrology, pp 919.Eckhardt, K., Fohrer, N. & Frede, H.G., (2005). Automatic model calibration. Hydrol. Process. 19, 651–658.
  • Engel, B. A., Srinivasan, R., Arnold, J. G., Rewerts, C. & Brown, S. J., (1993). Nonpoint-source (NPS) pollution modeling using models integrated with geographic information systems (GIS). Water Sci. Tech.28 (3-5), 685-690.
  • Tanaka, K., Watanabe, T., Nagano, T. & Kojiri, T., (2008). Assessing the impacts of climate change on the water resources of the Seyhan River Basin in Turkey: Use of dynamically downscaled data for hydrologic simulations. J. Hydrol. 353, 33– 48.
  • Graham, D.N. & Butts, M.B., (2006). Flexible, integrated watershed modelling with MIKE-SHE. In: Watershed Models (Singh, V.P. &Frevert, D.K. eds.), CRC press, pp. 245-272.
  • Hargreaves, G.H. & Samani, Z.A., (1982). Estimating Potential Evapotranspiration. J. Irrig. Drain. Eng. 108(3), 223-230.
  • Huffman, G.J., Bolvin, D.T., Nelkin, E.J. & Wolff, D.B., (2007). The TRMM Multisatellite precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. J. Hydrometeorol.8, 38-55.
  • Hydrologic Engineering Center (HEC-1)., 1981. Development of a knowledge-based expert system for water resource problems. Final report, SRI project 1619, SRI international, California.
  • Irvem, A., Topaloglu, F. & Uygur, V., (2007). Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J. Hydrol.336, 30– 37.
  • Lin, Z. & Radcliffe, D.E., (2006). Automatic calibration and predictive uncertainty analysis of a semi distributed watershed model. Vadose Zone J. 5:248-260.
  • Luo, P., Takara, K., He, B., Cao, W., Yamashiki, Y. & Nover, D., (2011). Calibration and uncertainty analysis of SWAT model in a Japanese river catchment. J. Jpn. Soc. Civil Eng., Ser.B1 Hydraulic Engineering, Vol. 67, No. 4, I:61-I:66
  • Moriasi, D.N., Arnold, J.G., van Liew, M.W., Bingner, R.L., Harmel, R.D. & Veith, T.L., (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE, 50(3), 885–900.
  • Nash, J.E., Sutcliffe, J.V., (1970). River flow forecasting through conceptual models. Part 1: discussion of principles. J. Hydrol. 10: 282–290.
  • Niraula, R., Norman, L.M., Meixner, T. & Callegary, J.B., (2012). Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT. Air, Soil Water Res. 5, 41–57
  • Qi, C. & Grunwald, S., (2005). GIS-based hydrologic modeling in the Sandusky watershed using SWAT. Trans. ASAE, 48, 1,169-180.
  • Rostamiani, R., Jaleh, A., Afyuni, M., Mousavi, S.F., Heidarpour, M., Jalalian, A. & Abbaspour K.C., (2008). Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrol. Sci. J. 53(5), 977-988.
  • Schuol, J., Abbaspour, K.C., Yang, H., Srinivasan, R. & Zhender A.J.B., (2008). Modeling blue and green water availability in Africa. Water Resour. Res. 44(W07406), 1-18
  • Setegn, S.G., Srinivasan, R., Melesse, A.M. & Dargahi, B., (2010). SWAT model application and prediction uncertainty analysis in the Lake Tana basin, Ethiopia. Hydrol. Process. 24,357-367.
  • Singh V., Bankar, N., Salunkhe, S.S., Bera, A.K. & Sharma J.R., (2013). Hydrological stream flow modelling on Tungabhadra catchment: parameterization and uncertainty analysis using SWAT CUP. Curr. Sci.104 (9), 1187-1199.
  • Sugawara, M., Ozaki, E., Watanabe, I. & Katsuyama, Y., (1974). Tank model and its application to Bird Creek, Wollombi Brook, Bikin River, Kitsu River, Sanga River. Research Note, National Research Centre for Disease Prevention, No. 11, Kyoto, Japan, 1-64.
  • Tuppad, P., Douglas-Mankin K. R., Lee T, Srinivasan R, & Arnold J.G., (2011). Soil and Water Assessment Tool (SWAT) hydrologic/water quality model: Extended capability and wider adoption. Trans. ASABE 54(5): 1677-1684.
  • van Griensven, A. & Bauwens, W., (2003). Multiobjective autocalibration for semidistributed water quality models. Water Resour. Res., 39(12), 1348, doi:10.1029/2003WR002284.
  • van Griensven, A. & Meixner, T., (2006). Methods to quantify and identify the sources of uncertainty for river basin water quality models. Water Sci.Technol., 53(1), 51–59.
  • Van Liew, M.W., Veith, T.L., Bosch, D.D. & Arnold J.G., (2007). Suitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds. J. Hydrol. Eng.12 (2), 173-189.
  • Vrugt, J.A., Gupta, H.V., Bouten, W. & Sorooshian, S., (2003). A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res., 39(8), 1201, doi: 10.1029/2002WR001642.
  • White, K.L. & Chaubey, I., (2005). Sensitivity analysis, calibration, and validations for a multisite and multivariable SWAT model. J.Am.Water Resour. Ass.41, 1077-1089.
  • Winchell, M., Srinivasan, R., Di Luzio, M. & Arnold, J.G., (2007). Arc-SWAT interface for SWAT2005 - User’s guide, Blackland Research Center, Texas Agricultural Experiment Station and Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, Texas.
  • Yang, J., Reichert, P., Abbaspour, K.C., Xia, J. & Yang, H., (2008). Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. J. Hydrol. 358, 1– 23
  • Zhang, X., Srinivasan, R., Van Liew, M., (2008). Multi-site calibration of the SWAT model for hydrologic modeling. Trans. ASABE, 51, 2039-2049.
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Ahmet İrvem 0000-0002-3838-1924

Ashraf El-sadek Bu kişi benim 0000-0002-3838-1924

Yayımlanma Tarihi 31 Aralık 1018
Yayımlandığı Sayı Yıl 2018 Cilt: 33 Sayı: 2

Kaynak Göster

APA İrvem, A., & El-sadek, A. (1019). Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin. Çukurova Tarım Ve Gıda Bilimleri Dergisi, 33(2), 99-110.
AMA İrvem A, El-sadek A. Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin. Çukurova Tarım Gıda Bil. Der. Ocak 1019;33(2):99-110.
Chicago İrvem, Ahmet, ve Ashraf El-sadek. “Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin”. Çukurova Tarım Ve Gıda Bilimleri Dergisi 33, sy. 2 (Ocak 1019): 99-110.
EndNote İrvem A, El-sadek A (01 Ocak 1019) Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin. Çukurova Tarım ve Gıda Bilimleri Dergisi 33 2 99–110.
IEEE A. İrvem ve A. El-sadek, “Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin”, Çukurova Tarım Gıda Bil. Der., c. 33, sy. 2, ss. 99–110, 1019.
ISNAD İrvem, Ahmet - El-sadek, Ashraf. “Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin”. Çukurova Tarım ve Gıda Bilimleri Dergisi 33/2 (Ocak 1019), 99-110.
JAMA İrvem A, El-sadek A. Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin. Çukurova Tarım Gıda Bil. Der. 1019;33:99–110.
MLA İrvem, Ahmet ve Ashraf El-sadek. “Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin”. Çukurova Tarım Ve Gıda Bilimleri Dergisi, c. 33, sy. 2, 1019, ss. 99-110.
Vancouver İrvem A, El-sadek A. Evaluation of Streamflow Simulation By SWAT Model for The Seyhan River Basin. Çukurova Tarım Gıda Bil. Der. 1019;33(2):99-110.

Çukurova Üniversitesi Ziraat Fakültesi Dergisi” yayın hayatına 1 Ocak 2016 tarihi itibariyle “Çukurova Tarım ve Gıda Bilimleri Dergisi” adıyla devam etmektedir.


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