Evaluation of DRAINMOD by a Physical Model to Simulate the Performance of Subsurface Drainage at the Mid and End Season in Paddy Fields

Document Type : Research Paper


1 M.Sc Student of Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

2 Assistant Prof. of Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan and Department of Water Engineering and Environment, Caspian Sea Basin Research Center, Rasht, Iran

3 Assistant Professor, Water Engineering Department, Faculty of Agricultural Sciences, University of Guilan and Department of Water Engineering and Environment, Caspian Sea Basin Research Center, Rasht, Iran


The complexity of drainage process in paddy fields and time consumption of field tests make simulation models to be used inevitably for assessing subsurface drainage systems performance. The objective of this study was to evaluate DRAINMOD model and the effects of drainage management of paddy fields on the salinity of drainage water. In this regard, a physical model with 3m in length, o.6m width and 1m height was constructed and equipped with controlled drainage. The corrugated drainage pipe, covered with geotextile was laid at a depth of 70 cm in the box. The tank was filled with silty loam soil with the same density and layering as in the paddy fields. After rice cultivation and during the experiment, the soil solutions were collected from the depths of 40, 50 and 70 cm and their TDS were measured in the laboratory. In order to evaluate the accuracy of DRIANMOD model for simulation of qualitative and quatitive subsurface drainage water, the solute transport parameters including dispersivity, tortousity factor, molecular diffusion coefficient, precipitation limit and the hydraulic conductivity were obtained through minimizing differences between the observed and the estimated salt solusion and drainage volume using genetic algorithm optimization method. The results showed that the model could simulate the performace of drainage system very well at before and after the midseason (NRMSE < 20%) and excellent at the mid and end season (NRMSE < 10 %). The TDS and drainage volume were estimated by average RMSE of 63.27 mg/l and 0.0145 cm3 respectively. The comparison of estimated and observed values showed a better performance for the model at the non-submerged conditions. The results of calibration and validation of model showed that the DRAINMOD-S model is capable to simulate the performance of subsurface drainage in paddy fields.


Main Subjects

Alizadeh, M. Afrasiab, P. Yazdani,M.R. Liaghat, A.M. and Delbari, M. (2016). The Effect of Depth and Space Subsurface Drainage on Paddy Field Drainage Intensity (Case Study: Fields of Rice Research Institute of Iran). Journal of Water and Soil Conservation, 23(4), 219-233.
Amin Salehi, A. Navabian, M. Esmaeili Varaki, M. and Pirmoradian, N. (2017). Evaluation of HYDRUS-2D model to simulate the loss of nitrate in subsurface controlled drainage in a physical model scale of paddy fields. Paddy and Water Environment, 15, 433–442.
Bannayan, M. and Hoogenboom, G. (2009). Using pattern recognition for estimating cultivar coefficients of a crop simulation model. Field Crops Research, 111(3), 290-302.
Breve, M.A. Skaggs, R.W. Parsons, J.E. and Gilliam, J.W. (1997). DRAINMOD-N, A nitrogen model for artificially drained soils. Transaction of the ASAE, 40(4), 1067-1075.
Caton, B.P. Foin, T.C. and Hill, J.E. (1999). A plant growth model for integrated weed management in direct seeded rice. II. Validation testing of water-depth effects and monoculture growth. Field Crop Research, 62: 145–155.
Farmaha, B.S. (2014). Evaluating Animo model for predicting nitrogen leaching in rice and wheat. Arid Land Research and Management, 28, 25-35.
Gauch, H.G. Hwang, J.T.G. and Fick, G.W. (2003). Model evaluation by comparison of model-based predictions and measured values. Agronomy Journal, 95, 1442–1446.
Ines, A.V.M. and Droogers, P. (2002). Inverse modeling in estimating soil hydraulic functions a genetic algorithm approach. Hydrology Earth System Science, 6(1), 49-65.
Jamieson, P.D. Porter, J.R. and Wilson, D.R. (1991). A test of the computer simulation model ARC-WHEAT1 on wheat crops grown in New Zeland. Field Crops Research, 27(4), 337-350.
Kale, A. (2011). Field-evaluation of DRAINMOD-S for predicting soil and drainage water salinity under semi-arid conditions in Turkey. Spanish Journal of Agricultural Research, 9(4), 26-40.
Kandil, H.M. Skaggs, R.W. Abdel Dayem, S. Aiad, Y. and Gilliam, J.W. (1992). DRAINMOD-S: Water management model for irrigated arid lands. 1. Theories, and Tests, presented at the ASAE international winter meeting, Paper No. 922566.
Nazari, B. Liaghat, A. Parsinezhad, M. and Naseri, A. (2008). Optimizing subsurface drainage installation depth consideration economic and environmental. In: Proceedings of 5th Workshop on Drainage and Environmental Engineering, 6 Nov., Iranian National Committee on Irrigation and Drainage, Tehran, Iran, pp. 107-122. (In Farsi)
Noory, H. Abyane, H.Z. Noory, H. and Liaghat, A.M. (2010). Application of DRAINMOD-N model for predicting Nitrate-N in paddy rice fields under controlled drainage in a costal region of Iran. XVIIth World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR), June 13-17, Québec City, Canada.
Okhovat, M. (1997). Rice planting, management and harvest. Iran: Farabi. (In Farsi)
Ramezani, M., Jamali, B. and Asgharzade, M. A. (2011). Sensitivity analysis of Drainmod model of input parameters. In: Proceedings of 3rd Irrigation and Drainage Network Management National Conference, 20-21 Feb. Shahid Chamran University of Ahvaz, Ahvaz, Iran, pp. 1-8. (In Farsi)
Samipoor, F. Mohammadi, K. Mahdian, M. and Naseri, A. (2011). Evaluating DRAINMOD and SWAP drainage models to determining optimal depth and spacing using crop yield performance and drainage effluent. Iranian Journal of Irrigation and Drainage, 4(3), 375-386. (In Farsi)
Skaggs, R.W. (1980). DRAINMOD reference report. United States Department of Agriculture, Soil Conservation Service.
Skaggs, R.W. (1982). Field evaluation of a water management simulation model, DRAINMOD. Transactions of the ASAE, 25(3), 666-674.
Torkzaban, S. (2000). Evaluation and calibration of DRAINMOD model under arid and semi-arid condition of Iran. M.Sc. dissertation, University of Tehran, Tehran. (In Farsi)
Wahba, M.A.S. and Christen, E. W. (2006). Modeling subsurface drainage for salt load management in southeastern Australia. Irrigation and Drainage Systems, 20(2), 267-283.
Wahba, M.A.S. (2016). Assessment of options for the sustainable use of agricultural drainage water for irrigation in Egypt by simulation modeling. Irrigation and Drainage, Online Version of Record published before inclusion in an issue, Wiley Online Library.
Yufu, T. Sen, D. Yuguang, Zh. Changyu, W. and Jinsong, W. (2013). Improvement effects of subsurface pipe with different spacing on sodic-alkali soil. Transactions of the Chinese Society of Agricultural Engineering, 29(12), 145-153.
Zare Abyaneh, H. Noori, H. Liaghat, A.M. Karimi, V. and Noori H. (2011). Calibration of nitrate leaching and water table fluctuation in paddy rice field by DRAINMOD-N software. Journal of Science and Technology of Agriculture and Natural Resources,15(57), 49-60. (In Farsi)