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Analyzing water table depth fluctuation response to evapotranspiration involving DRAINMOD model

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  • Malakshahi, Amir- Ashkan
  • Darzi- Naftchali, Abdullah
  • Mohseni, Behrooz

Abstract

A proper prediction of the water table (WT) depth in hydrological models highly depends on the accuracy of evapotranspiration (ET) estimation. In this study, the response of WT fluctuations to changes in ET was investigated involving the DRAINMOD water management model. The WT depth data were measured during three canola growing seasons (2011-12, 2015-16 and 2016-17) in a paddy field with two subsurface drainage systems (drain depth of 65 cm with two spacing of 15 m and 30 m) in the north of Iran. For the growing seasons, ET was estimated through 17 equations including five temperature- based, four radiation- based, three pan evaporation- based, four combination- based and one mass transfer- based equations. The estimated ET values was then applied in the calibrated DRAINMOD model to simulate the corresponding WT depths in the drainage systems. The reliability of various ET estimation methods and the model predictions were evaluated using determination coefficient (R2), root mean square error (RMSE), error percentage (PE) and mean absolute deviation (MAD). Compared to the FAO- Penman-Monteith equation, the FAO-24 radiation (R2 = 0.90, RMSE = 0.31 mm d-1, MAD =0.71 mm d-1 and PE = - 0.95%), Blaney- Criddle (R2 = 0.93, RMSE = 0.38 mm d-1, MAD =0.76 mm d-1 and PE = - 6.24%), Irmak (R2 = 0.87, RMSE =0.87 mm d-1, MAD =0.41 mm d-1 and PE = - 11.09%) and FAO- 24 pan (R2 = 0.86, RMSE =0.45 mm d-1, MAD =0.80 mm d-1 and PE = - 16.18%) provided the best estimations of ET. However, the best prediction of the WT depths were obtained for the Rohwer and pan evaporation- based equations. These methods considerably improved the reliability of the DRAINMOD predictions in comparison with the Thornthwaite method which is a default method for ET calculation in the model. Based on the results, the Rohwer and FAO-24 pan equations are recommended as suitable methods for estimating ET in the DRAINMOD model for the study area.

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  • Malakshahi, Amir- Ashkan & Darzi- Naftchali, Abdullah & Mohseni, Behrooz, 2020. "Analyzing water table depth fluctuation response to evapotranspiration involving DRAINMOD model," Agricultural Water Management, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:agiwat:v:234:y:2020:i:c:s0378377419319687
    DOI: 10.1016/j.agwat.2020.106125
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    1. C.-Y. Xu & V. Singh, 2002. "Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(3), pages 197-219, June.
    2. Dalila Cervantes-Godoy & Joe Dewbre, 2010. "Economic Importance of Agriculture for Poverty Reduction," OECD Food, Agriculture and Fisheries Papers 23, OECD Publishing.
    3. Darzi-Naftchali, Abdullah & Mirlatifi, Seyed Majid & Shahnazari, Ali & Ejlali, Farid & Mahdian, Mohammad Hossein, 2013. "Effect of subsurface drainage on water balance and water table in poorly drained paddy fields," Agricultural Water Management, Elsevier, vol. 130(C), pages 61-68.
    4. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2017. "Evaluation of changes in RDIst index effected by different Potential Evapotranspiration calculation methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4981-4999, December.
    5. Singh, R. & Helmers, M.J. & Qi, Zhiming, 2006. "Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes," Agricultural Water Management, Elsevier, vol. 85(3), pages 221-232, October.
    6. Liu, Xiaoying & Xu, Chunying & Zhong, Xiuli & Li, Yuzhong & Yuan, Xiaohuan & Cao, Jingfeng, 2017. "Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement," Agricultural Water Management, Elsevier, vol. 184(C), pages 145-155.
    7. Aouissi, Jalel & Benabdallah, Sihem & Lili Chabaâne, Zohra & Cudennec, Christophe, 2016. "Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT—Application in data-scarce rural Tunisia," Agricultural Water Management, Elsevier, vol. 174(C), pages 39-51.
    8. Yang, Xihua, 2008. "Evaluation and application of DRAINMOD in an Australian sugarcane field," Agricultural Water Management, Elsevier, vol. 95(4), pages 439-446, April.
    9. Wang, X. & Mosley, C.T. & Frankenberger, J.R. & Kladivko, E.J., 2006. "Subsurface drain flow and crop yield predictions for different drain spacings using DRAINMOD," Agricultural Water Management, Elsevier, vol. 79(2), pages 113-136, January.
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    2. Ghane, Ehsan & Askar, Manal H. & Skaggs, R. Wayne, 2021. "Design drainage rates to optimize crop production for subsurface-drained fields," Agricultural Water Management, Elsevier, vol. 257(C).

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