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Assessment of Reference Evapotranspiration Equations for Missing and Estimated Weather Data

기상자료의 결측과 산정에 따른 기준작물 증발산량 공식의 비교 평가

  • Yoon, Pu Reun (Department of Rural Systems Engineering, Seoul National University) ;
  • Choi, Jin-Yong (Department of Rural Systems Engineering, Seoul National University)
  • Received : 2018.01.09
  • Accepted : 2018.02.06
  • Published : 2018.05.31

Abstract

Estimating the reference evapotranspiration is an important factor to consider in irrigation system design and agricultural water use. However, there is a limitation in using the FAO Penman-Monteith (FAO P-M) equation, which requires various meteorological data. The purpose of this study is to compare three reference evapotranspiration (ETo) equations in the case of meteorological data missing for 11 study weather stations. Firstly, the FAO P-M equation is used for reference potential evapotranspiration estimation with the actual solar radiation data $R_n$ and the actual vapor pressure $e_a$. Then, in the case of $R_n$, and $e_a$ are missed, the reference evapotranspirations applying FAO P-M, Priestley-Taylor (P-T), Hargreaves (HG) equation were calculated using other meteorological factors. Secondly, MAE, RMSE, $R^2$ were calculated to compare ETo relationship from the ETo equations. From the results, ETo with Hargreaves equation in coastal areas and the Priestley-Taylor equation in the inland areas showed relatively high correlation with FAO P-M when $e_a$ data is missed. In the case of $R_n$ data is missed or two weather data, $e_a$, and $R_n$ data are all missed, $R^2$ value in Priestley-Taylor equation was highest in coastal areas, and $R^2$ values in Hargreaves equation were the high values for 7 inland areas. The results of sensitivity analysis showed that net radiation was the most sensitive for P-T and HG equation, and for FAO P-M, the most sensitive factor was net radiation and relative humidity, air temperature and wind speed were follows. Therefore, in considering of the accessibility to the coast, the types of the missing wether data, and the correlation and the magnitude of error, the reference evapotranspiration equations would be selected in sense of different conditions.

Keywords

References

  1. Alkaeed, O., C. Flores, K. Jinno, and A. Tsutsumi, 2006. Comparison of several reference evapotranspiration methods for Itoshima Peninsula area, Fukuoka, Japan. Memoirs of the Faculty of Engineering 66(1): 1-14.
  2. Allen, R. G., A. J. Clemmens, C. M. Burt, K. Solomon, and T. O'Halloran, 2005. Prediction accuracy for projectwide evapotranspiration using crop coefficients and reference evapotranspiration. Journal of irrigation and drainage engineering 131(1): 24-36. doi:10.1061/(ASCE) 0733-9437(2005)131:1(24).
  3. Allen, R. G., L. S. Periera, D. Raes, and M. Smith, 1998. Crop evapotranspiration: guidelines for computing crop requirements. No.56. Irrigation and Drainage. Food and Agriculture Organization of the United Nations.
  4. Allen, R. G., W. O. Pruitt, J. L. Wright, T. A. Howell, F. Ventura, R. Snyder, D. Itemfisu, P. Steduto, J. Berengena, J. Beselga, M. Smith, L. S. Pereira, D. Raes, A. Perrier, I. Alves, I. Walter, and R. Elliott, 2006. A recommendation on standardized surface resistance for hourly calculation of reference $ET_0$ by the FAO56 Penman-Monteith method. Agricultural water management 81: 1-22. doi:10.1016/j.agwat.2005.03.007.
  5. Amatya, D. M., R. W. Skaggs, and J. D. Gregory, 1995. Comparison of methods for estimating REF-ET. Journal of Irrigation and Drainage Engineering 121(6): 427-435. https://doi.org/10.1061/(ASCE)0733-9437(1995)121:6(427)
  6. Chae, H. S., Y. S. Song, J. Y. Park, 2000. An assessment of areal evapotranspiration using Landsat TM data. Journal of korea water resources association 33(4): 471-482 (in Korean).
  7. Cordova, M., G. Carrillo-Rojas, P. Crespo, B. Wilcox, and R. Celleri, 2015. Evaluation of the Penman-Monteith method for calculation reference evapotranspiration using limited data. Mountain research and development 35(3): 230-239. doi:10.1659/MRD-JOURNAL-D-14-0024.1.
  8. Garcia, M., D. Raes, R. Allen, and C. Herbas, 2004. Dynamics of reference evapotranspiration in the Bolivian highlands (Altiplano). Agriculture and forest meteorology 125: 67-82. doi:10.1016/j.agrformet.2004.03.005.
  9. Howell, T. A., S. R. Evette, A. D. Schneider, R. W. Todd, and J. A. Tolk, 1998. Evapotranspiration of irrigated fescue grass in a semi-arid environment. In ASAE meeting Presentation 982117: 1-23.
  10. Jabloun, M., and A. Sahli, 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data application to Tunisia. Agricultural water management 95: 707-715. doi:10.1016/ j.agwat.2008.01.009.
  11. Lee, K. H., and J. H. Park, 2008. Calibration of the Hargreaves equation for the reference evapotranspiration estimation on a nation-wide scale. Journal of the Korean society of civil engineering 28(68): 675-681 (in Korean).
  12. Paulo C. S., J. G. Terry, A. S. Eduardo, 2010, Evaluation of FAO-56 Penman-Monteith and alternative methods for estimating reference evaportranspiration with missing data in Southern Ontario, Canada. Agricultural water management 97: 635-644. doi:10.1016/j.agwat.2009.12.001.
  13. Rim, C. S., 2007. Urbanization effects on reference evapotranspiration. Journal of korea water resources association 40(7): 571-583 (in Korean). doi:10.3741/ JKWRA.2007.40.7.571.
  14. Rim, C. S., 2008. Comparison of evapotranspiration estimation approaches considering grass reference crop. Journal of korea water resources association 41(2): 212-228 (in Korean). doi:10.3741/JKWRA.2008.41.2.212.
  15. Yoo, S. H., J. Y. Choi, and M. W. Jang, 2006. Estimation of paddy rice crop coefficients for FAO Penman-Monteith and Modified Penman method. Journal of the korean society of agricultural engineers 49(1): 13-23 (in Korean). doi:10.5389/KSAE.2006.48.1.013.
  16. Xing, Z., L. Chow, F. R. Meng, H. W. Rees, L. Steve, and J. Monteith, 2008. Validating evapotranspiration equations using Bowen ratio in New Brunswick, Maritime, Canada. Sensors 8(1): 412-428. doi:10.3390/s8010412.