Spatio-Temporal Variations of Reference Evapotranspiration in Western Iran

https://doi.org/10.22146/ijg.81306

Yasser Sabzevari(1*), Saeid Eslamian(2)

(1) Water Department, Agricultural College, Isfahan University of Technology
(2) Water Department, Agricultural College, Isfahan University of Technology
(*) Corresponding Author

Abstract


Optimal management of water resources requires accurate determination of water balance components in each region and Evapotranspiration is one of the most important components of water balance. The purpose of this study was to investigate the spatiotemporal variability of reference evapotranspiration in Lorestan province- western Iran country using the Man-Kendall test and GIS then assess the effect of different climatic parameters on ET0 using multivariate regression. Lorestan province with a 28064 km area in western Iran has 9 synoptic stations including Khorramabad, Boroujerd, Aligouderz, Azna, Doroud, Koohdasht, Poldokhter, Aleshatar, and Noorabad. In this study, meteorological data were used for 9 synoptic stations of the Lorestan in a period from 2001 to 2017. The results showed that at most of the stations and most months, the changing trend was decreasing. The annual decrease in Azna station with Z=-2.73 at 99% level, and in the stations of Aligodarz, Kohdasht, and Doroud with Z equal to -2.27, -2.35, and -2.2, respectively at 95% was significant. The spatial distribution of ET0 showed that the maximum amount of ET0 occurred in the south of Lorestan Province, and decreased from south to north and west to east of the study area. These results indicate the influence of latitude and altitude on the spatial distribution of ET0. The impact of different parameters showed the greatest effect of maximum temperature and wind speed on ET0.


Keywords


Evapotranspiration; Reference Plant; Spatial Distribution; temporal changes; GIS

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References

Allen, G. R., Pereira, S. L., Raes, D. and Smith, M. (1998). Crop evapotranspiration, Guidelines for computing crop water requirement, FAO Irrigation and Drainage Paper 56, Rome, Italy.


Antal, A., Guerreiro, P. M. and Cheval, S. (2021). Comparison of spatial interpolation methods for estimating the precipitation distribution in Portugal. Theoretical and Applied Climatology, 145(3), 1193-1206.‏


Chang, Y., Ding, Y., Zhang, S., Qin, J., & Zhao, Q. (2023). Variations and drivers of evapotranspiration in the Tibetan Plateau during 1982–2015. Journal of Hydrology: Regional Studies, 47, 101366.‏


de Oliveira, R. G., Júnior, L. C. G. V., da Silva, J. B., Espíndola, D. A., Lopes, R. D., Nogueira, J. S. and Rodrigues, T. R. (2021). Temporal trend changes in reference evapotranspiration contrasting different land uses in southern Amazon basin. Agricultural Water Management, 250, 106815, 1-14.‏


Djaman, K. B., Balde, A., Sow, A., Muller, B., Irmak, S. K., N’Diaye, M., Manneh, B. D., Moukoumbi, Y., Futakuchi, K. and Saito, K. (2015). Evaluation of sixteen reference Evapotranspiration methods under sahelian conditions in the Senegal River Valley, Hydrological Regional Stududies, 3: 139-159.


Fu, J., Gong, Y., Zheng, W., Zou, J., Zhang, M., Zhang, Z., ... & Quan, B. (2022). Spatial-temporal variations of terrestrial evapotranspiration across China from 2000 to 2019. Science of The Total Environment, 825, 153951.


‎‎Gaus, I., Kinniburgh, D., Talbot, J. and Webster, R. (2003). Geostatistical analysis of ‎arsenic concentration in groundwater in Bangladesh using disjunctive Kriging, ‎Environmental Geology, 44: 939-948.


Gibrilla, A., Anornu, G. and Adomako, D. (2018). Trend analysis and ARIMA modelling of recent groundwater levels in the White Volta River basin of Ghana. Groundwater for Sustainable Development, 6, 150-163.‏


Grismer, M. E., Orang, M., Snyder, R. and Matyac, R. (2002). Pan evaporation to reference evapotranspiration ‎conversion methods. Journal of Irrigation and drainage Engineer, 128(3), 180-184.‎


Hargreaves, G. H. (1994). Defining and using reference evapotranspiration, Journal of Irrigation and Drainage Engineering. 12(6): 1132-1139.


Kendall, M. G. (1975). Rank Correlation Methods, Charles Griffin, London (1975).


Liu, Y., Lian, J., Luo, Z., & Chen, H. (2022). Spatiotemporal variations in evapotranspiration and transpiration fraction following changes in climate and vegetation in a karst basin of southwest China. Journal of Hydrology, 612, 128216.‏


Lu, X., Zang, C., & Burenina, T. (2020). Study on the variation in evapotranspiration in different period of the Genhe River Basin in China. Physics and Chemistry of the Earth, Parts A/B/C, 120, 102902., 1-36‏.


Mann, H. B. (1945). Nonparametric tests against trend, Econometrical, Journal of the Econometric Society, 245-259.


Mehdizadeh, S., Behmanesh, J. and Khalili, K. (2017). Using MARS, SVM, GEP and ‎empirical equations for estimation of monthly mean reference evapotranspiration, Computers ‎and Electronics in Agriculture, 139, 103-114.‎


Nam, W. H., Hong, E. M. and Choi, J. Y. (2015). Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea, Agricultural Water Management, 150: 129-138.


Nsiah, J. J., Gyamfi, C., Anornu, G. K. and Odai, S. N. (2021). Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana. Heliyon, 7(4), e06828, 1-10.‏


Paredes, P., Pereira, L. S., Almorox, J. and Darouich, H. (2020). Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables. Agricultural Water Management, 240, 106210, 1-23.‏


Prăvălie, R., Piticar, A., Roșca, B., Sfîcă, L., Bandoc, G., Tiscovschi, A. and Patriche, C. (2019). Spatio-temporal changes of the climatic water balance in Romania as a response to precipitation and reference evapotranspiration trends during 1961–2013, Catena, 172, 295-312.


Samuel, A., Girma, A., Zenebe, A. and Ghebreyohannes, T. (2018). Spatio-temporal variability of evapotranspiration and crop water requirement from space, Journal of hydrology, 567, 732-742.


Shao, Y., Liu, H., Du, Q., Liu, Y., & Sun, J. (2022). Seasonal variation and controlling factors of evapotranspiration over a “floating blanket” wetland in southwest China. Journal of Hydrology, 612, 128316.‏


Tabari, H., Marofi, S., Aeini, A., HosseinzadehTalaeea, P. and Mohammadi, K. (2011). Trend analysis of reference evapotranspiration in the western half of Iran, Agriculture Forest Meteorology, 151 (2): 128-136.


Tang, Y., & Tang, Q. (2021). Variations and influencing factors of potential evapotranspiration in large Siberian River basins during 1975–2014. Journal of Hydrology, 598, 126443.‏


Wang, L., Wang, G., Xue, B., Yinglan, A., Fang, Q., & Shrestha, S. (2022). Spatiotemporal variations in evapotranspiration and its influencing factors in the semiarid Hailar river basin, Northern China. Environmental Research, 212, 113275.‏


Wang, Q. F., Tang, J., Zeng, J. Y., Qu, Y. P., Zhang, Q., Shui, W., Wang, W. L., Yi, L. and Leng, S. (2018). Spatial-temporal evolution of vegetation evapotranspiration in Hebei Province, China, Journal of integrative agriculture, 17(9), 2107-2117.


Yang, W., Zhao, Y., Wang, D., Wu, H., Lin, A. and He, L. (2020). Using principal components analysis and IDW interpolation to determine spatial and temporal changes of surface water quality of Xin’anjiang river in Huangshan, China. International journal of environmental research and public health, 17(8), 2942, 1-14.‏


Zhao, T., Zhu, Y., Ye, M., Yang, J., Jia, B., Mao, W. and Wu, J. (2022). A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements. Agricultural Water Management, 264, 107500.‏


Zongxing, L., Qi, F., Wei, L., Tingting, W., Yan, G., Yamin, W., Aifang, C., Jingguo, L. and Li, L. (2015). Spatial and temporal trend of potential evapotranspiration and related driving forces in Southwestern China, during 1961-2009, Quaternary International 336: 127-144.



DOI: https://doi.org/10.22146/ijg.81306

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