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Yıl 2020, Cilt: 26 Sayı: 6, 1015 - 1022, 13.11.2020

Öz

Kaynakça

  • [1] Vörösmarty CJ, McIntyre PB, Gessner MO, Dudgeon D, Prusevich A, Green P, Glidden S, Bunn SE, Sullivan CA, Liermann CR, Davies PM. “Global threats to human water security and river biodiversity”. Nature, 467(7315), 555-561, 2010.
  • [2] Dingman SL. Physical Hydrology. USA, Waveland Press, Inc., 2002.
  • [3] Duethmann D, Peters J, Blume T, Vorogushyn S, Güntner A. “The value of satellite-derived snow cover images for calibrating a hydrological model in snow-dominated catchments in Central Asia”. Water Resources Research, 50, 2002-2021, 2014.
  • [4] Bennett TH. Development and Application of a Continuous Soil Moisture Accounting Algorithm for the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). MSc Thesis, University of California, Davis, USA, 1998.
  • [5] Fleming M, Neary V. “Continuous hydrologic modeling study with the Hydrologic Modeling System”. Journal of Hydrologic Engineering, 9(3), 175-183, 2004.
  • [6] Garcia A, Sainz A, Revilla JA, Alvarez C, Juanes JA, Puente A. “Surface water resources assessment in scarcely gauged basins in the north of Spain”. Journal of Hydrology, 356, 312-326, 2008.
  • [7] Rahimi M, Saghafian B, Azadi M, Sedgi H. “Flood forecasting in arid and semi arid region using continuous hydrological modeling”. World Applied Sciences Journal, 10(6), 645-654, 2010.
  • [8] Roy D, Begam S, Ghosh S, Jana S. “Calibration and validation of HEC-HMS model for a river basin in Eastern India”. ARPN Journal of Engineering and Applied Sciences, 8(1), 40-56, 2013.
  • [9] Koch R, Bene K. “Continuous hydrologic modeling with HMS in the Aggtelek Karst region”. Hydrology, 1(1), 1-7, 2013.
  • [10] Singh WR, Jain MK. “Continuous hydrological modeling using soil moisture accounting algorithm in Vamsadhara River Basin, India”. Journal of Water Resource and Hydraulic Engineering, 4(4), 398-408, 2015.
  • [11] Gebre SL. “Application of the HEC-HMS model for runoff simulation of Upper Blue Nile River Basin”. Hydrology: Current Research, 6(2), 1-8, 2015.
  • [12] Bhuiyan HAKM, McNairn H, Powers J, Merzouki A. “Application of HEC-HMS in a cold region watershed and use of RADARSAT-2 soil moisture in initializing the model”. Hydrology, 4(1), 9, 1-19, 2017.
  • [13] Mousavi SJ, Abbaspour KC, Kamali B, Amini M, Yang H. “Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach”. Journal of Hydroinformatics, 14, 286-309, 2012.
  • [14] Kamali B, Mousavi SJ, Abbaspour KC. “Automatic calibration of HEC‐HMS using single‐objective and multi‐objective PSO algorithms”. Hydrological Processes, 27, 4028-4042, 2013.
  • [15] Dariane AB, Javadianzadeh MM, James LD. “Developing an efficient auto-calibration algorithm for HEC-HMS program”. Water Resources Management, 30(6), 1923-1937, 2016.
  • [16] Meselhe EA, Habib EH, Oche OC, Gautam S. “Sensitivity of conceptual and physically based hydrologic models to temporal and spatial rainfall sampling”. Journal of Hydrologic Engineering, 14(7), 711-720, 2009.
  • [17] Yilmaz AG, Imteaz MA, Ogwuda O. “Accuracy of HEC-HMS and LBRM models in simulating snow runoffs in Upper Euphrates Basin”. Journal of Hydrologic Engineering, 17(2), 342-347, 2012.
  • [18] Gyawali R, Watkins DW. “Continuous hydrologic modeling of snow-affected watersheds in the Great Lakes Basin using HEC-HMS”. Journal of Hydrologic Engineering, 18(1), 29-39, 2013.
  • [19] Rezaeianzadeh M, Stein A, Tabari H, Abghari H, Jalalkamali N, Hosseinipour EZ, Singh VP. “Assessment of a conceptual hydrological model and artificial neural networks for daily outflows forecasting”. International Journal Environmental Science and Technology, 10(6), 1181-1192, 2013.
  • [20] Ayvaz MT, Tezel U, Kentel E, Goktas RK. “Weekly flow prediction of Ergene River using an artificial neural network based solution approach”. EPiC Series in Engineering-HIC 2018: 13th International Conference on Hydroinformatics, 3, 155-161, 2018.
  • [21] Bergström S. “Development and Application of a Conceptual Runoff Model for Scandinavian Catchments”. SMHI, Norrköping, Sweden, SMHI Report Hydrologi Och Oceanografi Nr RHO 7, 1976.
  • [22] Bergström S, Lindström G. “Interpretation of runoff processes in hydrological modelling-experience from the HBV approach”. Hydrological Processes, 29, 3535-3545, 2015.
  • [23] Seibert J. “Estimation of parameter uncertainty in the HBV model”. Nordic Hydrology, 28(4/5), 247-262, 1997.
  • [24] Parajka J, Merz R, Blöschl G. “Uncertainty and multiple objective calibration in regional water balance modelling: Case study in 320 Austrian catchments”. Hydrological Processes, 21(4), 435-446, 2007.
  • [25] Abebe NA, Ogden FL, Pradhan NR. “Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation”. Journal of Hydrology, 389, 301-310, 2010.
  • [26] Seibert J. “Regionalisation of parameters for a conceptual rainfall-runoff model”. Agricultural and Forest Meteorology, 98-99, 279-293, 1999.
  • [27] Parajka J, Merz R, Blöschl G. “A comparison of regionalisation methods for catchment model parameters”. Hydrology and Earth System Sciences, 5, 157-171, 2005.
  • [28] Beck HE, van Dijk AIJM, de Roo A, Miralles DG, McVicar TR, Schellekens J, Bruijnzeel LA. “Global-scale regionalization of hydrologic model parameters”. Water Resources Research, 52, 3599-3622, 2016.
  • [29] Grillakis MG, Tsanis IK, Koutroulis AG. “Application of the HBV hydrological model in a flash flood case in Slovenia”. Natural Hazards and Earth System Sciences, 10, 2713-2725, 2010.
  • [30] Seibert J. “Multi-criteria calibration of a conceptual runoff model using a genetic algorithm”. Hydrology and Earth System Sciences, 4(2), 215-224, 2000.
  • [31] Bergström S, Lindström G, Pettersson A. “Multi-variable parameter estimation to increase confidence in hydrological modeling”. Hydrological Processes, 16, 413-421, 2002.
  • [32] Udnaes HC, Alfnes E, Andreassen LM. “Improving runoff modelling using satellite-derived snow covered area”. Nordic Hydrology, 38(1), 21-32, 2007.
  • [33] Parajka J, Blöschl G. “The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models”. Journal of Hydrology, 358(3-4), 240-258, 2008.
  • [34] Sorman AA, Sensoy A, Tekeli AE, Sorman AU, Akyurek Z. “Modeling and forecasting snowmelt runoff process using the HBV model in the eastern part of Turkey”. Hydrological Processes, 23, 1031-1040, 2009.
  • [35] Finger D, Vis M, Huss M, Seibert J. “The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments”. Water Resources Research, 51, 1939-1958, 2015.
  • [36] Driessen TLA, Hurkmans RTWL, Terink W, Hazenberg P, Torfs PJJF, Uijlenhoet R. “The hydrological response of the Ourthe catchment to climate change as modelled by the HBV model”. Hydrology and Earth System Sciences, 14, 651-665, 2010.
  • [37] Bhattarai S, Zhou Y, Shakya NM, Zhao C. “Hydrological modelling and climate change impact assessment using HBV light model: A case study of Narayani River Basin, Nepal”. Nature Environment and Pollution Technology, 17(3), 691-702, 2018.
  • [38] Vozinaki AEK, Tapoglou E, Tsanis IK. “Hydrometeorological impact of climate change in two Mediterranean basins”. International Journal of River Basin Management, 16(2), 245-257, 2018.
  • [39] Ferguson RI. “Snowmelt runoff models”. Progress in Physical Geography, 23(2), 205-227, 1999.
  • [40] Sorman AA, Sensoy A, Yamankurt E, Gozel E. “A comparison of SRM and HBV models for real time runoff forecasting in the Upper Euphrates Basin, Turkey”. Geophysical Research Abstracts, 14, EGU2012-780, 2012.
  • [41] te Linde AH, Aerts JCJH, Hurkmans RTWL, Eberle M. “Comparing model performance of two rainfall-runoff models in the Rhine basin using different atmospheric forcing data sets”. Hydrology and Earth System Sciences, 12, 943-957, 2008.
  • [42] Gao C, Yao MT, Wang YJ, Zhai JQ, Buda S, Fischer T, Zeng XF, Wang WP. “Hydrological model comparison and assessment: criteria from catchment scales and temporal resolution”. Hydrological Sciences Journal, 61(10), 1941-1951, 2016.
  • [43] Grillakis MG, Koutroulis AG, Tsanis IK. "Climate change impact on the hydrology of Spencer Creek watershed in Southern Ontario, Canada". Journal of Hydrology, 409, 1-19, 2011.
  • [44] Plesca I, Timbe E, Exbrayat JF, Windhorst D, Kraft P, Crespo P, Vache KB, Frede HG, Breuer L. “Model intercomparison to explore catchment functioning: Results from a remote montane tropical rainforest”. Ecological Modelling, 239, 3-13, 2012.
  • [45] Yaghoubi M, Massah Bavani AR. “Sensitivity analysis and comparison of capability of three conceptual models HEC-HMS, HBV and IHACRES in simulating continuous rainfall-runoff in semi-arid basins”. Journal of the Earth and Space Physics, 40(2), 153-172, 2014.
  • [46] Devlet Su İşleri. “SVT Rasatlar Bilgi Bankası”. http://svtbilgi.dsi.gov.tr/Bilgi.aspx?istasyon=D24A096%20KAYABA%C5%9EI%20ARAS%20N (07.05.2019).
  • [47] USACE (US Army Corps of Engineers). “Hydrologic Modeling System HEC-HMS Technical Reference Manual”. Hydrologic Engineering Center, Davis, USA, 2000.
  • [48] Seibert J, Vis MJP. “Teaching hydrological modeling with a user-friendly catchment-runoff-model software package”. Hydrology and Earth System Sciences, 16, 3315-3325, 2012.
  • [49] Killingtveit A, Saelthun NR. Hydrology, Hydropower Development, Trondheim, Norway, Norwegian Institute of Technology, 1995.
  • [50] Nash JE, Sutcliffe JV. “River flow forecasting through conceptual models. Part I-A discussion of principles”. Journal of Hydrology, 10(3), 282-290, 1970.
  • [51] Moriasi DN, Arnold JG, Van Liew MW, Binger RL, Harmel RD, Veith TL. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations”. Transactions of the ASABE, 50(3), 885-900, 2007.
  • [52] Altinbilek D. “Development and management of the Euphrates-Tigris Basin”. International Journal of Water Resources Development, 20(1), 15-33, 2004.
  • [53] Tekeli AE, Akyürek Z, Şorman AA, Şensoy A, Sorman AU. “Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey”. Remote Sensing of Environment, 97, 216-230, 2005.

Comparison of hydrological models in upper Aras Basin

Yıl 2020, Cilt: 26 Sayı: 6, 1015 - 1022, 13.11.2020

Öz

The increasing importance of water resources planning and management each day has led to a widespread use of hydrologic modeling. Especially in Turkey, where the headwaters of drainage basins are located around mountainous areas, snowmelt dominates streamflow during spring months which makes modeling applications important and necessary. In this study, two different conceptual hydrologic models (HEC-HMS and HBV) are compared during 2008-2015 water years in the mountainous headwaters of Aras Basin, located in eastern Turkey. For both models, performance on runoff using Nash-Sutcliffe Efficiency is above 0.8 and 0.7 for calibration and validation respectively. This first conceptual hydrologic modeling implementation and comparison in Aras Basin did indeed give promising results as well as suggesting to consider other variables beside streamflow.

Kaynakça

  • [1] Vörösmarty CJ, McIntyre PB, Gessner MO, Dudgeon D, Prusevich A, Green P, Glidden S, Bunn SE, Sullivan CA, Liermann CR, Davies PM. “Global threats to human water security and river biodiversity”. Nature, 467(7315), 555-561, 2010.
  • [2] Dingman SL. Physical Hydrology. USA, Waveland Press, Inc., 2002.
  • [3] Duethmann D, Peters J, Blume T, Vorogushyn S, Güntner A. “The value of satellite-derived snow cover images for calibrating a hydrological model in snow-dominated catchments in Central Asia”. Water Resources Research, 50, 2002-2021, 2014.
  • [4] Bennett TH. Development and Application of a Continuous Soil Moisture Accounting Algorithm for the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). MSc Thesis, University of California, Davis, USA, 1998.
  • [5] Fleming M, Neary V. “Continuous hydrologic modeling study with the Hydrologic Modeling System”. Journal of Hydrologic Engineering, 9(3), 175-183, 2004.
  • [6] Garcia A, Sainz A, Revilla JA, Alvarez C, Juanes JA, Puente A. “Surface water resources assessment in scarcely gauged basins in the north of Spain”. Journal of Hydrology, 356, 312-326, 2008.
  • [7] Rahimi M, Saghafian B, Azadi M, Sedgi H. “Flood forecasting in arid and semi arid region using continuous hydrological modeling”. World Applied Sciences Journal, 10(6), 645-654, 2010.
  • [8] Roy D, Begam S, Ghosh S, Jana S. “Calibration and validation of HEC-HMS model for a river basin in Eastern India”. ARPN Journal of Engineering and Applied Sciences, 8(1), 40-56, 2013.
  • [9] Koch R, Bene K. “Continuous hydrologic modeling with HMS in the Aggtelek Karst region”. Hydrology, 1(1), 1-7, 2013.
  • [10] Singh WR, Jain MK. “Continuous hydrological modeling using soil moisture accounting algorithm in Vamsadhara River Basin, India”. Journal of Water Resource and Hydraulic Engineering, 4(4), 398-408, 2015.
  • [11] Gebre SL. “Application of the HEC-HMS model for runoff simulation of Upper Blue Nile River Basin”. Hydrology: Current Research, 6(2), 1-8, 2015.
  • [12] Bhuiyan HAKM, McNairn H, Powers J, Merzouki A. “Application of HEC-HMS in a cold region watershed and use of RADARSAT-2 soil moisture in initializing the model”. Hydrology, 4(1), 9, 1-19, 2017.
  • [13] Mousavi SJ, Abbaspour KC, Kamali B, Amini M, Yang H. “Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach”. Journal of Hydroinformatics, 14, 286-309, 2012.
  • [14] Kamali B, Mousavi SJ, Abbaspour KC. “Automatic calibration of HEC‐HMS using single‐objective and multi‐objective PSO algorithms”. Hydrological Processes, 27, 4028-4042, 2013.
  • [15] Dariane AB, Javadianzadeh MM, James LD. “Developing an efficient auto-calibration algorithm for HEC-HMS program”. Water Resources Management, 30(6), 1923-1937, 2016.
  • [16] Meselhe EA, Habib EH, Oche OC, Gautam S. “Sensitivity of conceptual and physically based hydrologic models to temporal and spatial rainfall sampling”. Journal of Hydrologic Engineering, 14(7), 711-720, 2009.
  • [17] Yilmaz AG, Imteaz MA, Ogwuda O. “Accuracy of HEC-HMS and LBRM models in simulating snow runoffs in Upper Euphrates Basin”. Journal of Hydrologic Engineering, 17(2), 342-347, 2012.
  • [18] Gyawali R, Watkins DW. “Continuous hydrologic modeling of snow-affected watersheds in the Great Lakes Basin using HEC-HMS”. Journal of Hydrologic Engineering, 18(1), 29-39, 2013.
  • [19] Rezaeianzadeh M, Stein A, Tabari H, Abghari H, Jalalkamali N, Hosseinipour EZ, Singh VP. “Assessment of a conceptual hydrological model and artificial neural networks for daily outflows forecasting”. International Journal Environmental Science and Technology, 10(6), 1181-1192, 2013.
  • [20] Ayvaz MT, Tezel U, Kentel E, Goktas RK. “Weekly flow prediction of Ergene River using an artificial neural network based solution approach”. EPiC Series in Engineering-HIC 2018: 13th International Conference on Hydroinformatics, 3, 155-161, 2018.
  • [21] Bergström S. “Development and Application of a Conceptual Runoff Model for Scandinavian Catchments”. SMHI, Norrköping, Sweden, SMHI Report Hydrologi Och Oceanografi Nr RHO 7, 1976.
  • [22] Bergström S, Lindström G. “Interpretation of runoff processes in hydrological modelling-experience from the HBV approach”. Hydrological Processes, 29, 3535-3545, 2015.
  • [23] Seibert J. “Estimation of parameter uncertainty in the HBV model”. Nordic Hydrology, 28(4/5), 247-262, 1997.
  • [24] Parajka J, Merz R, Blöschl G. “Uncertainty and multiple objective calibration in regional water balance modelling: Case study in 320 Austrian catchments”. Hydrological Processes, 21(4), 435-446, 2007.
  • [25] Abebe NA, Ogden FL, Pradhan NR. “Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation”. Journal of Hydrology, 389, 301-310, 2010.
  • [26] Seibert J. “Regionalisation of parameters for a conceptual rainfall-runoff model”. Agricultural and Forest Meteorology, 98-99, 279-293, 1999.
  • [27] Parajka J, Merz R, Blöschl G. “A comparison of regionalisation methods for catchment model parameters”. Hydrology and Earth System Sciences, 5, 157-171, 2005.
  • [28] Beck HE, van Dijk AIJM, de Roo A, Miralles DG, McVicar TR, Schellekens J, Bruijnzeel LA. “Global-scale regionalization of hydrologic model parameters”. Water Resources Research, 52, 3599-3622, 2016.
  • [29] Grillakis MG, Tsanis IK, Koutroulis AG. “Application of the HBV hydrological model in a flash flood case in Slovenia”. Natural Hazards and Earth System Sciences, 10, 2713-2725, 2010.
  • [30] Seibert J. “Multi-criteria calibration of a conceptual runoff model using a genetic algorithm”. Hydrology and Earth System Sciences, 4(2), 215-224, 2000.
  • [31] Bergström S, Lindström G, Pettersson A. “Multi-variable parameter estimation to increase confidence in hydrological modeling”. Hydrological Processes, 16, 413-421, 2002.
  • [32] Udnaes HC, Alfnes E, Andreassen LM. “Improving runoff modelling using satellite-derived snow covered area”. Nordic Hydrology, 38(1), 21-32, 2007.
  • [33] Parajka J, Blöschl G. “The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models”. Journal of Hydrology, 358(3-4), 240-258, 2008.
  • [34] Sorman AA, Sensoy A, Tekeli AE, Sorman AU, Akyurek Z. “Modeling and forecasting snowmelt runoff process using the HBV model in the eastern part of Turkey”. Hydrological Processes, 23, 1031-1040, 2009.
  • [35] Finger D, Vis M, Huss M, Seibert J. “The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments”. Water Resources Research, 51, 1939-1958, 2015.
  • [36] Driessen TLA, Hurkmans RTWL, Terink W, Hazenberg P, Torfs PJJF, Uijlenhoet R. “The hydrological response of the Ourthe catchment to climate change as modelled by the HBV model”. Hydrology and Earth System Sciences, 14, 651-665, 2010.
  • [37] Bhattarai S, Zhou Y, Shakya NM, Zhao C. “Hydrological modelling and climate change impact assessment using HBV light model: A case study of Narayani River Basin, Nepal”. Nature Environment and Pollution Technology, 17(3), 691-702, 2018.
  • [38] Vozinaki AEK, Tapoglou E, Tsanis IK. “Hydrometeorological impact of climate change in two Mediterranean basins”. International Journal of River Basin Management, 16(2), 245-257, 2018.
  • [39] Ferguson RI. “Snowmelt runoff models”. Progress in Physical Geography, 23(2), 205-227, 1999.
  • [40] Sorman AA, Sensoy A, Yamankurt E, Gozel E. “A comparison of SRM and HBV models for real time runoff forecasting in the Upper Euphrates Basin, Turkey”. Geophysical Research Abstracts, 14, EGU2012-780, 2012.
  • [41] te Linde AH, Aerts JCJH, Hurkmans RTWL, Eberle M. “Comparing model performance of two rainfall-runoff models in the Rhine basin using different atmospheric forcing data sets”. Hydrology and Earth System Sciences, 12, 943-957, 2008.
  • [42] Gao C, Yao MT, Wang YJ, Zhai JQ, Buda S, Fischer T, Zeng XF, Wang WP. “Hydrological model comparison and assessment: criteria from catchment scales and temporal resolution”. Hydrological Sciences Journal, 61(10), 1941-1951, 2016.
  • [43] Grillakis MG, Koutroulis AG, Tsanis IK. "Climate change impact on the hydrology of Spencer Creek watershed in Southern Ontario, Canada". Journal of Hydrology, 409, 1-19, 2011.
  • [44] Plesca I, Timbe E, Exbrayat JF, Windhorst D, Kraft P, Crespo P, Vache KB, Frede HG, Breuer L. “Model intercomparison to explore catchment functioning: Results from a remote montane tropical rainforest”. Ecological Modelling, 239, 3-13, 2012.
  • [45] Yaghoubi M, Massah Bavani AR. “Sensitivity analysis and comparison of capability of three conceptual models HEC-HMS, HBV and IHACRES in simulating continuous rainfall-runoff in semi-arid basins”. Journal of the Earth and Space Physics, 40(2), 153-172, 2014.
  • [46] Devlet Su İşleri. “SVT Rasatlar Bilgi Bankası”. http://svtbilgi.dsi.gov.tr/Bilgi.aspx?istasyon=D24A096%20KAYABA%C5%9EI%20ARAS%20N (07.05.2019).
  • [47] USACE (US Army Corps of Engineers). “Hydrologic Modeling System HEC-HMS Technical Reference Manual”. Hydrologic Engineering Center, Davis, USA, 2000.
  • [48] Seibert J, Vis MJP. “Teaching hydrological modeling with a user-friendly catchment-runoff-model software package”. Hydrology and Earth System Sciences, 16, 3315-3325, 2012.
  • [49] Killingtveit A, Saelthun NR. Hydrology, Hydropower Development, Trondheim, Norway, Norwegian Institute of Technology, 1995.
  • [50] Nash JE, Sutcliffe JV. “River flow forecasting through conceptual models. Part I-A discussion of principles”. Journal of Hydrology, 10(3), 282-290, 1970.
  • [51] Moriasi DN, Arnold JG, Van Liew MW, Binger RL, Harmel RD, Veith TL. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations”. Transactions of the ASABE, 50(3), 885-900, 2007.
  • [52] Altinbilek D. “Development and management of the Euphrates-Tigris Basin”. International Journal of Water Resources Development, 20(1), 15-33, 2004.
  • [53] Tekeli AE, Akyürek Z, Şorman AA, Şensoy A, Sorman AU. “Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey”. Remote Sensing of Environment, 97, 216-230, 2005.
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makale
Yazarlar

Ali Arda Sorman Bu kişi benim

Emin Tas

Yusuf Ogulcan Dogan Bu kişi benim

Yayımlanma Tarihi 13 Kasım 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 26 Sayı: 6

Kaynak Göster

APA Sorman, A. A., Tas, E., & Dogan, Y. O. (2020). Comparison of hydrological models in upper Aras Basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 26(6), 1015-1022.
AMA Sorman AA, Tas E, Dogan YO. Comparison of hydrological models in upper Aras Basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Kasım 2020;26(6):1015-1022.
Chicago Sorman, Ali Arda, Emin Tas, ve Yusuf Ogulcan Dogan. “Comparison of Hydrological Models in Upper Aras Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26, sy. 6 (Kasım 2020): 1015-22.
EndNote Sorman AA, Tas E, Dogan YO (01 Kasım 2020) Comparison of hydrological models in upper Aras Basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 6 1015–1022.
IEEE A. A. Sorman, E. Tas, ve Y. O. Dogan, “Comparison of hydrological models in upper Aras Basin”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy. 6, ss. 1015–1022, 2020.
ISNAD Sorman, Ali Arda vd. “Comparison of Hydrological Models in Upper Aras Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26/6 (Kasım 2020), 1015-1022.
JAMA Sorman AA, Tas E, Dogan YO. Comparison of hydrological models in upper Aras Basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26:1015–1022.
MLA Sorman, Ali Arda vd. “Comparison of Hydrological Models in Upper Aras Basin”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy. 6, 2020, ss. 1015-22.
Vancouver Sorman AA, Tas E, Dogan YO. Comparison of hydrological models in upper Aras Basin. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26(6):1015-22.





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