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TEMPERATURE-DRIVEN EVAPORATION ANALYSIS OVER BALLIKAYA CATCHMENT

Year 2021, Volume: 22 Issue: 3, 290 - 298, 29.09.2021
https://doi.org/10.18038/estubtda.911741

Abstract

References

  • [1] Nickman A, Lyon SW, Jansson PE, Olofsson B. Simulating the impact of roads on hydrological responses: examples from Swedish terrain. Hydrol Res J, 2016; 47(4): 767-781.
  • [2] Wicher K. Rainfall Runoff Modeling in Kävlinge River Basin with HEC-HMS. MSc, Division of Water Resources Engineering, Department of Building and Environmental Technology, Lund University, 2017.
  • [3] Hawkins RH, Van Mullem JA, Ward TJ, Woodward DE. ASCE/EWRI Task Committee Report on the State of the Practice in Curve Number Hydrology. Draft report to the American Society of Civil Engineers, 2006.
  • [4] Critchley W, Siegert K, Chapman C. Water Harvesting, A manual guide for the design and construction of water harvesting schemes for plant production, FAO, Rome, 1991.
  • [5] Solomatine DP, Dulal KN. Model trees as an alternative to neural networks in rainfall-runoff modelling. Hydrolog Sci J, 2003; 48(3): 399–411.
  • [6] Isik S, Kalin L, Schoonover JE, Srivastava P, Graeme Lockaby B. Modeling effects of changing land use/cover on daily streamflow: An artificial neural network and curve number based hybrid approach. J Hydrol 2013; 485: 103–112.
  • [7] Dis MO, Anagnostou E, Mei Y. Using High-Resolution Satellite Precipitation for Flood Frequency Analysis: Case Study over the Connecticut River Basin. J Flood Risk Manag, 2018; 11: 514-526.
  • [8] Beven K. Rainfall-runoff modelling. the Primer: Chichester, John Wiley & Sons Ltd., 355 pp, 2001.
  • [9] Redfearn HD. Rainfall-runoff changes due to urbanization: a comparison of different spatial resolutions for lumped surface water hydrology models using HEC-HMS. University of North Texas, USA, 2005.
  • [10] Yılmaz MT, Bulut B. Türkiye’deki 2000-2015 yılları arasındaki buharlaşma ve terlemenin NOAH hidrolojik modeli ile incelenmesi. Dicle Üniversitesi Mühendislik Fakültesi Özel Sayısı VIII. Ulusal Hidroloji Kongresi, 2016; 7(2): 225-236.
  • [11] Şarlak N, Bağçacı SÇ. The Assessment of Empirical Potential Evapotranspiration Methods: A Case Study of Konya Closed Basin, Technical Journal of Turkish Chamber of Civil Engineers, 2020: 31(1); 9755-9772.
  • [12] HEC-USACE: Hydrologic Modeling System. HEC-HMS User’s Manual Version 4.3, US Army Corps of Engineers, Hydrologic Engineering Center, Davis, CA, USA, 2018.
  • [13] Aydın F, Topaloğlu F. Türkiye Buharlaşma Verilerinin Gidiş Analizi. Ç.Ü. Fen Bil. Ens. Dergisi, 2010; 22-2.
  • [14] Bacanlı ÜG, Tanrıkulu A. Ege Bölgesinde Buharlaşma Verilerinin Trend Analizi. AKU J. Sci. Eng, 2017; 17:980-987
  • [15] Çitakoğlu H, Demir V, Geyikli MS. Ege bölgesine ait açık yüzey buharlaşma verilerine gidiş analizi. IX. Ulusal Hidroloji Kongresi, Diyarbakır, Türkiye, 4-6 Ekim 2017.
  • [16] Özfidaner M, Şapolyo D, Topaloğlu F. Antalya Ortalama Sıcaklık Verisinde Gidişlerin Yeni Bir Gidiş Analiz Yöntemi İle Belirlenmesi. Süleyman Demirel Üniversitesi Ziraat Fakültesi Dergisi, 1. Uluslararası Tarımsal Yapılar ve Sulama Kongresi Özel Sayısı 2018: 223-228.
  • [17] The Turkish State Meteorological Service Web. https://www.mgm.gov.tr/genel/buharlasma.aspx?s=3, (Accessed Date: 12 March 2021).
  • [18] Dingman SL. Physical Hydrology. 2nd Edition. Upper Saddle River, New Jersey: Prentice Hall, 2002.
  • [19] Tabari H, Grismer ME, Trajkovic S. Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrigation Sci, 2013; 31: 107–117.
  • [20] Cobaner M, Citakoglu H, Haktanir T, Kisi O. Modifying Hargreaves-Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey. Hydrol Res, 2017; 48 (2): 480-497.
  • [21] Abtew W, Melesse A. Evaporation and evapotranspiration: measurements and estimations, Springer, New York, USA, doi: 10.1007/978-94-007-4737-1, 2012.
  • [22] Geographic (GIS) data website. URL: http://www.earthexplorer.usgs.gov/ (Accessed Date: 03 September 2020).
  • [23] Jensen ME, Burman RD, Allen RG. Evapotranspiration and Irrigation Water Requirements. American Society of Civil Engineers, New York, USA, 1990.
  • [24] Xu CY, Singh VP. Evaluation and generalization of temperature‐based methods for calculating evaporation. Hydrol Process, 2001; 15 (2): 305-319.
  • [25] Blaney HF, Criddle WD. Determining Water Requirements in Irrigated Areas from Climatological Irrigation Data, Technical Paper No:96, US Department of Agriculture, Soil Conservation Service, Washington, D.C., 1959. 48 pp.
  • [26] Singh VP. Hydrologic Systems, Vol II, Watershed Modelling. Englewood Cliffs, New Jersey, USA: Prentice Hall, 1989.
  • [27] Poyen FB, Kundu P, Ghosh AK. Temperature based ET Method Selection for Burdwan District in WB, INDIA. Int J Appl Eng Res, 2018; 13(16): 12753-12763.‏
  • [28] Kharrufa NS. Simplified Equation for Evapotranspiration in Arid Regions, Beitr Hyd, Sonderheft 1985; 5(1): 339-347.
  • [29] Dis MO. Hydrological Analysis of an Urban Basin in Sub-Tropical Environment. MSc, University of Connecticut, USA, 2011.
  • [30] Usul N. Mühendislik Hidrolojisi. 2nd Ed. ODTÜ Yayıncılık, Ankara, 2013.

TEMPERATURE-DRIVEN EVAPORATION ANALYSIS OVER BALLIKAYA CATCHMENT

Year 2021, Volume: 22 Issue: 3, 290 - 298, 29.09.2021
https://doi.org/10.18038/estubtda.911741

Abstract

Hydrometeorological analysis such as terrain characteristics, flood forecasts and water potentials have become possible through computer models today in parallel with rapidly ever-evolving technology. While the surface-runoff during a storm has linearly and highly correlation with effective precipitation, it is inversely proportional to hydrological losses, including interception, infiltration, transpiration and evaporation. However, flood estimation analysis, in especially rural areas in Turkey, is still not widely and accurately usable, due to difficulties in accessing the necessary ground-based data records such as evaporation, which affects much of the rainfall. Although direct measurement of evaporation is not available now, indirect methods such as evaporation pans have been developed to give acceptable results. On the one hand, observation networks are built by Turkish State Meteorological Service for the estimation of evaporation from open water bodies, these measurements, on the other hand, are only obtained at large climatological stations such as city centers and generally for only six months of the year. In this sense, evaporation values, in order to apply rainfall-runoff analysis, were estimated by Kharrufa, Blaney-Criddle, and modified Blaney-Criddle methods to be used in Monthly Average models. While the highest underestimations were obtained in modified Blaney-Criddle method, Kharrufa method outperformed the other Blaney-Criddle products. The results, confirmed by analysis of the temperature-based Kharrufa approach in two urban areas close to the study basin, show to be appliable for estimation of long-term hydrographs. The analyzed method can be applied over rural watersheds lacking in-situ evaporation measurements as well as enables more accurate rainfall-runoff simulations processes with calibrated and verified hydrological models.

References

  • [1] Nickman A, Lyon SW, Jansson PE, Olofsson B. Simulating the impact of roads on hydrological responses: examples from Swedish terrain. Hydrol Res J, 2016; 47(4): 767-781.
  • [2] Wicher K. Rainfall Runoff Modeling in Kävlinge River Basin with HEC-HMS. MSc, Division of Water Resources Engineering, Department of Building and Environmental Technology, Lund University, 2017.
  • [3] Hawkins RH, Van Mullem JA, Ward TJ, Woodward DE. ASCE/EWRI Task Committee Report on the State of the Practice in Curve Number Hydrology. Draft report to the American Society of Civil Engineers, 2006.
  • [4] Critchley W, Siegert K, Chapman C. Water Harvesting, A manual guide for the design and construction of water harvesting schemes for plant production, FAO, Rome, 1991.
  • [5] Solomatine DP, Dulal KN. Model trees as an alternative to neural networks in rainfall-runoff modelling. Hydrolog Sci J, 2003; 48(3): 399–411.
  • [6] Isik S, Kalin L, Schoonover JE, Srivastava P, Graeme Lockaby B. Modeling effects of changing land use/cover on daily streamflow: An artificial neural network and curve number based hybrid approach. J Hydrol 2013; 485: 103–112.
  • [7] Dis MO, Anagnostou E, Mei Y. Using High-Resolution Satellite Precipitation for Flood Frequency Analysis: Case Study over the Connecticut River Basin. J Flood Risk Manag, 2018; 11: 514-526.
  • [8] Beven K. Rainfall-runoff modelling. the Primer: Chichester, John Wiley & Sons Ltd., 355 pp, 2001.
  • [9] Redfearn HD. Rainfall-runoff changes due to urbanization: a comparison of different spatial resolutions for lumped surface water hydrology models using HEC-HMS. University of North Texas, USA, 2005.
  • [10] Yılmaz MT, Bulut B. Türkiye’deki 2000-2015 yılları arasındaki buharlaşma ve terlemenin NOAH hidrolojik modeli ile incelenmesi. Dicle Üniversitesi Mühendislik Fakültesi Özel Sayısı VIII. Ulusal Hidroloji Kongresi, 2016; 7(2): 225-236.
  • [11] Şarlak N, Bağçacı SÇ. The Assessment of Empirical Potential Evapotranspiration Methods: A Case Study of Konya Closed Basin, Technical Journal of Turkish Chamber of Civil Engineers, 2020: 31(1); 9755-9772.
  • [12] HEC-USACE: Hydrologic Modeling System. HEC-HMS User’s Manual Version 4.3, US Army Corps of Engineers, Hydrologic Engineering Center, Davis, CA, USA, 2018.
  • [13] Aydın F, Topaloğlu F. Türkiye Buharlaşma Verilerinin Gidiş Analizi. Ç.Ü. Fen Bil. Ens. Dergisi, 2010; 22-2.
  • [14] Bacanlı ÜG, Tanrıkulu A. Ege Bölgesinde Buharlaşma Verilerinin Trend Analizi. AKU J. Sci. Eng, 2017; 17:980-987
  • [15] Çitakoğlu H, Demir V, Geyikli MS. Ege bölgesine ait açık yüzey buharlaşma verilerine gidiş analizi. IX. Ulusal Hidroloji Kongresi, Diyarbakır, Türkiye, 4-6 Ekim 2017.
  • [16] Özfidaner M, Şapolyo D, Topaloğlu F. Antalya Ortalama Sıcaklık Verisinde Gidişlerin Yeni Bir Gidiş Analiz Yöntemi İle Belirlenmesi. Süleyman Demirel Üniversitesi Ziraat Fakültesi Dergisi, 1. Uluslararası Tarımsal Yapılar ve Sulama Kongresi Özel Sayısı 2018: 223-228.
  • [17] The Turkish State Meteorological Service Web. https://www.mgm.gov.tr/genel/buharlasma.aspx?s=3, (Accessed Date: 12 March 2021).
  • [18] Dingman SL. Physical Hydrology. 2nd Edition. Upper Saddle River, New Jersey: Prentice Hall, 2002.
  • [19] Tabari H, Grismer ME, Trajkovic S. Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrigation Sci, 2013; 31: 107–117.
  • [20] Cobaner M, Citakoglu H, Haktanir T, Kisi O. Modifying Hargreaves-Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey. Hydrol Res, 2017; 48 (2): 480-497.
  • [21] Abtew W, Melesse A. Evaporation and evapotranspiration: measurements and estimations, Springer, New York, USA, doi: 10.1007/978-94-007-4737-1, 2012.
  • [22] Geographic (GIS) data website. URL: http://www.earthexplorer.usgs.gov/ (Accessed Date: 03 September 2020).
  • [23] Jensen ME, Burman RD, Allen RG. Evapotranspiration and Irrigation Water Requirements. American Society of Civil Engineers, New York, USA, 1990.
  • [24] Xu CY, Singh VP. Evaluation and generalization of temperature‐based methods for calculating evaporation. Hydrol Process, 2001; 15 (2): 305-319.
  • [25] Blaney HF, Criddle WD. Determining Water Requirements in Irrigated Areas from Climatological Irrigation Data, Technical Paper No:96, US Department of Agriculture, Soil Conservation Service, Washington, D.C., 1959. 48 pp.
  • [26] Singh VP. Hydrologic Systems, Vol II, Watershed Modelling. Englewood Cliffs, New Jersey, USA: Prentice Hall, 1989.
  • [27] Poyen FB, Kundu P, Ghosh AK. Temperature based ET Method Selection for Burdwan District in WB, INDIA. Int J Appl Eng Res, 2018; 13(16): 12753-12763.‏
  • [28] Kharrufa NS. Simplified Equation for Evapotranspiration in Arid Regions, Beitr Hyd, Sonderheft 1985; 5(1): 339-347.
  • [29] Dis MO. Hydrological Analysis of an Urban Basin in Sub-Tropical Environment. MSc, University of Connecticut, USA, 2011.
  • [30] Usul N. Mühendislik Hidrolojisi. 2nd Ed. ODTÜ Yayıncılık, Ankara, 2013.
There are 30 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Adnan Elagca 0000-0003-2393-8678

Muhammet Ömer Diş 0000-0002-3347-5112

Publication Date September 29, 2021
Published in Issue Year 2021 Volume: 22 Issue: 3

Cite

AMA Elagca A, Diş MÖ. TEMPERATURE-DRIVEN EVAPORATION ANALYSIS OVER BALLIKAYA CATCHMENT. Estuscience - Se. September 2021;22(3):290-298. doi:10.18038/estubtda.911741