Volume 4, Issue 4, December 2018, Page: 117-123
Estimation of Potential Evapotranspiration by Different Methods in Handan Eastern Plain, China
Yinqin Zhang, School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan, China
Received: Nov. 28, 2018;       Accepted: Dec. 25, 2018;       Published: Jan. 18, 2019
DOI: 10.11648/j.ajwse.20180404.15      View  40      Downloads  16
Potential evapotranspiration estimation is the foundation of water resources assessment. Based on the daily meteorological data during 2000-2005 of Linzhang Meteorological Station in Handan Eastern Plain, temperature-based Hargreaves method, radiation-based Priestley-Taylor method, and FAO Penman-Monteith method with comprehensive consideration of aerodynamics were used to estimate potential evapotranspiration. Correlations between monthly potential evapotranspiration and water surface evaporation were conducted. The results indicated that potential evapotranspiration calculated by Hargreaves method was the largest, while the potential evapotranspiration calculated by Priestley-Taylor method was the smallest. The seasonal potential evapotranspiration values for the three methods were summer > spring > autumn > winter. The correlation between potential evapotranspiration calculated by the FAO Penman-Monteith method and water surface evaporation during the same period was best (r=0.991). In contrast, Penman-Monteith method is more suitable for estimating the potential evapotranspiration in Handan Eastern Plain.
Potential Evapotranspiration, Hargreaves Method, Priestley-Taylor Method, Penman-Monteith Method, Water Surface Evaporation, Handan Eastern Plain
To cite this article
Yinqin Zhang, Estimation of Potential Evapotranspiration by Different Methods in Handan Eastern Plain, China, American Journal of Water Science and Engineering. Vol. 4, No. 4, 2018, pp. 117-123. doi: 10.11648/j.ajwse.20180404.15
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Evapotranspiration. Available from: https://en.wikipedia.org/ wiki/Evapotranspiration#Potential_evapotranspiration.
Srdjan J., Blagoje N., Zoran G., et al. 2018. Evolutionary algorithm for reference evapotranspiration analysis. Comput. Electron. Agr., 150, 1-4.
Lu J. B., Ge S., Steven G. M., et al. 2005. A comparison of six potential evapotranspiration methods for regional use in the southeastern United States. J. American Water Resour. Association, 621-633.
Thompson J. R., Green A. J., Kingston D. G. 2014. Potential evapotranspiration-related uncertainty in climate change impacts on river flow: An assessment for the Mekong River basin. J. Hydrol., 510, 259-279.
Osorio J., Jeong J., Bieger K., et al. 2014. Influence of potential evapotranspiration on the water balance of sugarcane fields in Maui, Hawaii. Journal of Water Resource and Protection, 6, 852-868.
Weiß M., Menzel L. 2008. A global comparison of four potential evapotranspiration equations and their relevance to stream flow modelling in semi-arid environments. Adv. Geosci., 18, 15-23.
Lang D. X., Zheng J. K., Shi J. Q., et al. 2017. A comparative study of potential evapotranspiration estimation by eight methods with FAO Penman-Monteith method in Southwestern China. Water, 9, 734.
Xystrakis F., Matzarakis A. 2011. Evaluation of 13 empirical reference potential evapotranspiration equations on the island of Crete in Southern Greece. J. Irrig. Drain Eng., 137, 211-222.
Salem S. Gharbia, Trevor Smullen, Laurence Gill, et al. 2018. Spatially distributed potential evapotranspiration modeling and climate projections. Sci. Total Environ., 633, 571-592.
Sun H. 2016. A Two-Source Model for Estimating Evaporative Fraction (TMEF) Coupling Priestley-Taylor Formula and Two-Stage Trapezoid. Remote Sens., 8, 248.
Qi P., Zhang G., Xu Y. J., et al. 2017. Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China. Water, 9, 493.
Long Q. B. 2011. Study on sustainable water resource management in Handan Eastern Plain. Master's Thesis of Hebei University of Engineering.
Hargreaves G. L., Hargreaves G. H., Riley J. P. 1985. Agricultural benefits for Senegal River basin. J. Irrig. Drain. Eng., ASCE,111(2),113-124.
Hargreaves G. H., Allen R. G. 2003. History and evaluation of Hargreaves evapotranspiration equation. J. Irrig. Drain. Eng., 129:53-63.
Haie N., Pereira R. M., Yen H. 2018. An Introduction to the Hyperspace of Hargreaves-Samani Reference Evapotranspiration. Sustain., 10, 4277.
Priestley C. H. B., Taylor R.J. 1972. On the assessment of surface heat flux and evaporation using large-scale parameters. Mon. Weather Rev. 100, 81-92.
Sun H. 2016. A Two-source Model for Estimating Evaporative Fraction (TMEF) coupling Priestley-Taylor formula and two-stage trapezoid. Remote Sens., 8(3), 248.
Wang X. H., Guo M. H., Xu Z. M. 2006. Comparison of estimating ET0 in arid-area of Northwest China by Hargreaves equation and Penman-Monteith equation. Transactions of the CSAE, 22(10):21-25. (in Chinese with English abstract).
Allen R. G., Pereira L. S., Raes D. et al. 1998. Crop evapotranspiration-guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. Rome, Italy: Food and Agriculture Organization of the United Nations.
Mann, H. B. 1945. Nonparametric tests against trend. Econometrica 33:245-259.
Kendall, M. 1975. Multivariate analysis. Charles Griffin.
Gao S., Wang H. W., Sang X. L., et al. 2016. Analyzing the correlation of time series of rainfall-runoff in Yuanjiang-Red River Basin. Systems Engineering, 34 (3): 153-158. (in Chinese with English abstract)
Li C, Wu P. T., Li X. L., et al. 2017. Spatial and temporal evolution of climatic factors and its impacts on potential evapotranspiration in Loess Plateau of Northern Shaanxi, China. Sci. Total Environ., 589, 165-172.
Han J. Y., Wang J. H., Zhao Y., et al. 2018. Spatio-temporal variation of potential evapotranspiration and climatic drivers in the Jing-Jin-Ji region, North China. Agr. Forest Meteorol., 256-257, 75-83.
Ding R., Kang S., Li F., et al. 2013. Evapotranspiration measurement and estimation using modified Priestley-Taylor model in an irrigated maize field with mulching. Agric. For. Meteorol., 168, 140-148.
Naledzani N. N., Lobina G. P., Abel R. 2018. Modelling depth to groundwater level using SEBAL-based dry season potential evapotranspiration in the upper Molopo River Catchment, South Africa. Egypt. J. Remote Sens. Space Sci., 21,237-248.
Irmak S., Payero J. O., Martin D. L. et al. 2006. Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation. J. Irrig. Drain. Eng., 132, 564-578.
Yang Y., Chen R. S., Song Y. X., et al. 2019. Sensitivity of potential evapotranspiration to meteorological factors and their elevational gradients in the Qilian Mountains, northwestern China. J. Hydrol., 568,147-159.
Tabari H., Talaee P. H. 2014. Sensitivity of evapotranspiration to climatic change in different climates. Global Planet. Change, 115, 16-23.
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