Yield, Water Balance and Nitrate Leaching under Different Irrigation Regimes in Rice Cultivation under Sub-tropical Environment: Field Observation and Simulation Modeling using HYDRUS-1D
DOI:
https://doi.org/10.14738/ejas.1405.12179Keywords:
Boro rice, Alternate wetting and drying, Water balance, Nitrate leaching, Hydrus-1D modelAbstract
For irrigated rice, increasing water productivity is essential as water supplies become more limited. Water consumption and risk management can benefit from monitoring the long-term impacts of fertilization and irrigation on the components of the water balance. A field-Lysimeter investigation was carried out and the Hydrus-1D model was calibrated to simulate the nitrate leaching and water balance components. Three distinct irrigation treatments were applied in the lysimetric study: traditional irrigation (continuous ponding) (T1), irrigation three days after the ponded water disappeared from the soil surface (referred to as three days AWD) (T2), and irrigation five days AWD (T3). The results of field experiments indicated that, the conventional irrigation treatment (T1) yielded the highest grain production (6.77–6.94 t ha⁻¹), but demanded the most water (50.6–70.9 cm). Severe irrigation restriction (T3) achieved significant water savings up to 39.3%, yet resulted in substantial yield reductions of up to 26.4%. The relative crop responses remained consistent across both years. A moderate irrigation reduction (T2) provided a balanced trade-off, saving 16.6–22.8% of water while limiting yield penalties to roughly 13%. Consequently, T2 emerged as the optimal management strategy to improve water productivity and sustain rice production in water-limited environments without causing severe yield losses. The Hydrus-1D model was well fitted with the field data (calibration efficiency was about 94%). The HYDRUS-1D simulations demonstrated that AWD irrigation reduced soil water storage and increased root-zone drying compared with continuous ponding. However, reductions in cumulative root water uptake and nitrogen uptake were relatively small, particularly under the three-day AWD treatment. Surface, root-zone, and bottom-boundary nitrogen dynamics showed similar temporal patterns among treatments, indicating that moderate AWD can maintain crop water and nitrogen acquisition while reducing water use. Among the AWD treatments, three-day AWD (T2) appeared to provide the best balance between water conservation and maintaining favorable root-zone conditions. Overall, integrating field observations with model simulations identified three-day AWD (T2) as the most suitable irrigation strategy for improving water productivity while sustaining rice yield and efficient water and nitrogen use.
References
Ali, M.H. (2018). Drought Screening and Supplemental Irrigation Management for some Rice Cultivars in Drought Prone Area of Bangladesh. Int. J. of Applied Sci., 1(2):107-116. DOI: https://doi.org/10.30560/ijas.v1n2p107
Ali, M. H and Rahman M. A.(2016). Design and construction of low-cost raised-bed drainage lysimeter for crop- water relations and hydrological studies.International Journal of Current Science and Technology, Vol.4, Issue, 3, pp. 184-187.
Allen, R.; Pereira, L.; Raes, D.; Smith, M. (1998). Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements. In FAO Irrigation and Drainage Paper; FAO: Rome, Italy; Volume 56.
Amarasingha, R.P.R.K.; Suriyagoda, L.D.B.; Marambe, B.; Gaydon, D.S.; Galagedara, L.W.; Punyawardena, R.; Silva, G.L.L.P.; Nidumolu, U.; Howden, M. (2015). Simulation of Crop and Water Productivity for Rice (Oryza sativa L.) Using APSIM under Diverse Agro-Climatic Conditions and Water Management Techniques in Sri Lanka. Agric. Water Manag., 160, 132–143.
Belmans, C.; Wesseling, J.G.; Feddes, R.A. (1983). Simulation Model of the Water Balance of a Cropped Soil: SWATRE. J. Hydrol., 63, 271–286.
Boonphue, J., P. Maskulrath, O. Phewnil, K. Duangmal, T. Pattamapitoon, W. Wararam, N. Semvimol1, T. Kato, W. Tundam, U. Nachaiboon, P. Wichittrakarn, K. Chunkao (2026). Factors influencing methane emissions in rice paddies using alternate wetting and drying method. Global J. Environ. Sci. Manage. 12(3): 1061-1082, Summer 2026, Serial #47. DOI:10. 22034.gjesm.2026.03.03
Bouman, B.A.M.; Peng, S.; Castañeda, A.R.; Visperas, R.M. (2005). Yield and Water Use of Irrigated Tropical Aerobic Rice Systems. Agric. Water Manag. 2005, 74, 87–105.
Cameira, M.D.R.; Santos Pereira, L. (2019). Innovation Issues in Water, Agriculture and Food. Water, 11, 1230.
Casey, F.X.M., N. Derby, R.E. Knighton, D.D. Steele, and E.C. Stegman (2002). Initiation of irrigation effects on temporal nitrate leahing. Vadose Zone J. 1, 300-309.
Chen, K.; Yu, S.; Ma, T.; Ding, J.; He, P.; Li, Y.; Dai, Y.; Zeng, G. (2022). Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D. Agriculture, 12, 924. https://doi.org/10.3390/agriculture12070924
Das, S., Ali, M. H., Biswas, P., Haque, M. A., & Hossain, M. F. (2026). Alternate Wetting and Drying (AWD) Increase Rice Yield, and Water-Use Efficiency while Mitigating Methane Emissions from Synchronized Rice Systems. European Journal of Applied Sciences, 14(01), 24–31. https://doi.org/10.14738/aivp.1401.19791
Dash, J. C.; Sarangi, A.; Singh, D.K.; Singh, A.K.; Adhikary, P.P. (2015). Prediction of Root Zone Water and Nitrogen Balance in an Irrigated Rice Field Using a Simulation Model. Paddy Water Environ., 13, 281–290.
Devappa, R.V, Selvakumar S, Ragunath K, Balaji K, Bharani A. (2026). Applications of the HYDRUS model in irrigation management, groundwater recharge and crop studies: A review. Plant Sci. Today, Vol. 13 No. sp5: Recent Advances in Agriculture, https://doi.org/10.14719/pst.15604
Devkota, K.P.; Hoogenboom, G.; Boote, K.J.; Singh, U.; Lamers, J.P.A.; Devkota, M.; Vlek, P.L.G. (2015). Simulating the Impact of Water Saving Irrigation and Conservation Agriculture Practices for Rice—Wheat Systems in the Irrigated Semi-Arid Drylands of Central Asia. Agric. For. Meteorol., 214–215, 266–280.
Diaz, R.J.; Rosenberg, R. (2008). Spreading Dead Zones and Consequences for Marine Ecosystems. Science, 321, 926–929.
Scholar Publishing Ding, Y.; Wang, W.; Zhuang, Q.; Luo, Y. (2020). Adaptation of Paddy Rice in China to Climate Change: The Effects of Shifting Sowing Date on Yield and Irrigation Water Requirement. Agric. Water Manag., 228, 105890.
Duan, Y.-H.; Yin, X.-M.; Zhang, Y.-L.; Shen, Q.-R. (2007). Mechanisms of Enhanced Rice Growth and Nitrogen Uptake by Nitrate. Pedosphere, 17, 697–705.
Fageria, N.K. (2007). Yield Physiology of Rice. J. Plant Nutr., 30, 843–879.
Feddes, R.A.; Kowalik, P.J.; Zaradny, H.(1978). Simulation of Field Water Use and Crop Yield. In Simulation of Plant Growth and Crop Production; Pudoc: Wageningen, The Netherlands.
Ferguson, R. B., C. A. Shapiro, G. W. Hergert, W. L. Kranz, N. L. Klocke and D. H. Krull (1991). Nitrogen and irrigation management practices to minimize nitrate leaching from irrigated corn. J. Prod. Agric. 4: 186-192.
Gupta, A.; Gupta, M.; Srivastava, P.K.; Petropoulos, G.P.; Singh, R.K. (2023). Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation. Sustainability 2023, 15, 2147. https://doi.org/10.3390/su15032147
Han, H.; Gao, R.; Cui, Y.; Gu, S. (2021). Transport and Transformation of Water and Nitrogen under Different Irrigation Modes and Urea Application Regimes in Paddy Fields. Agric. Water Manag., 255,
Hanson, B.R.; Šim °unek, J.; Hopmans, J.W. (2006). Evaluation of Urea–Ammonium–Nitrate Fertigation with Drip Irrigation Using Numerical Modeling. Agric. Water Manag., 86, 102–113.
Islam, A., M.H. Ali, P. Biswas (2020). Effect of Drought and Irrigation Management on Two Rice Mutants of Bangladesh. Asian Plant Research Journal 4(3): 39-45, DOI: https://doi.org/10.9734/aprj/2020/v4i330089
Jayaraman, S.; Dang, Y.P.; Naorem, A.; Page, K.L.; Dalal, R.C. (2021). Conservation Agriculture as a System to Enhance Ecosystem Services. Agriculture 2021, 11, 718.
Kroes, J.; van Dam, J.; Supit, I.; de Abelleyra, D.; Veron, S.; de Wit, A.; Boogaard, H.; Angelini, M.; Damiano, F.; Groenendijk, P.; et al. (2019). Agrohydrological Analysis of Groundwater Recharge and Land Use Changes in the Pampas of Argentina. Agric. Water Manag., 213, 843–857.
Li, J.; Qian, X.; Zhang, M.; Fu, K.; Zhu, W.; Zhao, Q.; Shen, G.; Wang, Z.; Chen, X. (2021). Methodology for Studying Nitrogen Loss from Paddy Fields under Alternate Wetting and Drying Irrigation in the Lower Reaches of the Yangtze River in China. Agric. Water Manag., 254, 106963.
Li, Y.; Šim °unek, J.; Wang, S.; Yuan, J.; Zhang, W. (2017). Modeling of Soil Water Regime and Water Balance in a Transplanted Rice Field Experiment with Reduced Irrigation. Water, 9, 248.
Li, Y.; Šim °unek, J.; Zhang, Z.; Jing, L.; Ni, L. (2015). Evaluation of Nitrogen Balance in a Direct-Seeded-Rice Field Experiment Using Hydrus-1D. Agric. Water Manag., 148, 213–222.
Ma, L.; Ni, J.; Fleskens, L.; Wang, H.; Xuan, Y. (2021). Modeling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China. Agriculture, 11, 472.
Ma, T.; Zeng, W.; Lei, G.; Wu, J.; Huang, J. (2021). Predicting the Rooting Depth, Dynamic Root Distribution and the Yield of Sunflower under Different Soil Salinity and Nitrogen Applications. Ind. Crops Prod., 170, 113749.
Mahbub, S. M. M., M. G. M. Amin, K.K. Sarker, M. Maya, M. S. Haque (2023). Closing the Gap Between Theory and Practice in Tobacco Irrigation in Bangladesh: Experiment and Modeling. Water
Conservation Science and Engineering (2023) 8:5, https://doi.org/10.1007/s41101-023-00183-2 Scholar Publishing Mo’allim, A.A.; Kamal, M.R.; Muhammed, H.H.; MohdSoom, M.A.; Mohamed Zawawi, M.A.B.;
Wayayok, A.; Che Man, H.B. (2018). Assessment of Nutrient Leaching in Flooded Paddy Rice Field Experiment Using Hydrus-1D. Water, 10, 785.
Moreno, F., J. A. Cayuela, J. E. Fernandez, E. Fernandezboy, J. M. Murillo and F. Cabrera (1999). Water balance and nitrate leaching in on irrigated maize crop in SW spain. In: Kirda, et al. (edit.) Crop Response to Deficit Irrigation.
Ouyang, W.; Chen, S.; Wang, X.; Shan, Y. (2015). Paddy Rice Ecohydrology Pattern and Influence on Nitrogen Dynamics in Middle-toHigh Latitude Area. J. Hydrol., 529, 1901–1908.
Pandey, A.; Li, F.; Askegaard, M.; Rasmussen, I.A.; Olesen, J.E. (2018). Nitrogen Balances in Organic and Conventional Arable Crop Rotations and Their Relations to Nitrogen Yield and Nitrate Leaching Losses. Agric. Ecosys. Environ., 265, 350–362.
Phogat, V.; Skewes, M.A.; Cox, J.W.; Alam, J.; Grigson, G.; Šim °unek, J. (2013). Evaluation of Water Movement and Nitrate Dynamics in a Lysimeter Planted with an Orange Tree. Agric. Water Manag., 127, 74–84.
Phogat, V.; Yadav, A.K.; Malik, R.S.; Kumar, S.; Cox, J. (2010). Simulation of Salt and Water Movement and Estimation of Water Productivity of Rice Crop Irrigated with Saline Water. Paddy Water Environ, 8, 333–346.
Roth, L. V. and R. H. Fox (1990). Soil nitrate accumulations following nitrogen-fertilized corn in Pennsylvania, J. Environ. Qual., 19: 243-248.
Shekhar, S., D. R. Mailapalli, N. S. Raghuwanshi, B. S. Das (2020). Hydrus-1D model for simulating water flow through paddy soils under alternate wetting and drying irrigation practice. Paddy and
Water Environment (2020) 18:73–85, https://doi.org/10.1007/s10333-019-00765-8
Shekhar, S.; Mailapalli, D.R.; Raghuwanshi, N.S. (2021). Simulating Nitrogen Transport in Paddy Crop Irrigated with Alternate Wetting and Drying Practice. Paddy Water Environ., 19, 499–513.
Shelia, V., Jirka Šimůnek, Ken Boote, Gerrit Hoogenbooom (2018). Coupling DSSAT and HYDRUS-1D for simulations of soil water dynamicsin the soil-plant-atmosphere system. J. Hydrol. Hydromech., 66(2):232–245. DOI: 10.1515/johh-2017-005 Šim °unek, J.; Genuchten, M.T.; Šejna, M. (2008). Development and Applications of the HYDRUS and STANMOD Software Packages and Related Codes. Vadose Zone J., 7, 587–600.
Singh, R.; van Dam, J.C.; Feddes, R.A. (2006). Water Productivity Analysis of Irrigated Crops in Sirsa District, India. Agric. Water Manag., 82, 253–278.
Stone, E.C.; Hornberger, G.M. (2016). Impacts of Management Alternatives on Rice Yield and Nitrogen Losses to the Environment: A Case Study in Rural Sri Lanka. Sci. Total Environ., 542, 271–
Tabuchi, T. and S. Hasegawa (edit.)(1995). Paddy field in the world. Japanese Society of Irrigation, Drainage and Reclamation Engineering, Tokyo, 353p.
Tamini, T.; Mermoud, A. (2002). Water and Nitrate Dynamics under Irrigated Onion in a Semi-Arid Area. Irrig. Drain., 51, 77–86.
Tan, X.; Shao, D.; Gu, W.; Liu, H. (2015). Field Analysis of Water and Nitrogen Fate in Lowland Paddy Fields under Different Water Managements Using HYDRUS-1D. Agric. Water Manag., 150, 67–
Thao, T., C. M. Culumber, A. T. Poret-Peterson, C. A. Zuber, B. A. Holtz, S. Gao (2024). Evaluating the seasonal effects of whole orchard recycling on water movement and nitrogen retention for a newly established almond orchard: Simulation using HYDRUS-1D. Agricultural Water Management 299 (2024) 108882, https://doi.org/10.1016/j.agwat.2024.108882
Scholar Publishing Uddin M. I., Rashid M. H. and Islam M. M. (2020). High Yielding Boro Variety of Rice: Binadhan-24. A leaflet, Biotechnology Division/2020 (in Bangla).
Van Genuchten, M.T. (1980). A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil. Sci. Soc. Am. J., 44, 892–898.
Wang, W.; Yu, Z.; Zhang, W.; Shao, Q.; Zhang, Y.; Luo, Y.; Jiao, X.; Xu, J. (2014). Responses of Rice Yield, Irrigation Water Requirement and Water Use Efficiency to Climate Change in China: Historical Simulation and Future Projections. Agric. Water Manag., 146, 249–261.
Yang, R.; Tong, J.; Hu, B.X.; Li, J.; Wei, W. (2017). Simulating Water and Nitrogen Loss from an Irrigated Paddy Field under Continuously Flooded Condition with Hydrus-1D Model. Environ. Sci. Pollut. Res., 24, 15089–15106.
Yates, M. V., D. E. Stottlemyer, and J. L. Meyer 1992. Irrigation and fertilizer management to minimize nitrate leaching in Avocado production. Proc. of Second World Avocado Congress, pp. 331-
Yuan, S.; Peng, S.; Li, T. (2017). Evaluation and Application of the ORYZA Rice Model under Different Crop Managements with High-Yielding Rice Cultivars in Central China. Field Crops Res., 212, 115–125.
Zhang, D.; Wang, H.; Pan, J.; Luo, J.; Liu, J.; Gu, B.; Liu, S.; Zhai, L.; Lindsey, S.; Zhang, Y.; et al.,(2018). Nitrogen Application Rates Need to Be Reduced for Half of the Rice Paddy Fields in China. Agric. Ecosys. Environ., 265, 8–14.
Zhang, R., M. Zhu, A. Y. Mady, M. Huang, X. Yan, T. Guo (2024). Effects of different long-term fertilization and cropping systems on crop yield, water balance components and water productivity in dryland farming. Agricultural Water Management 292, 108689. https://doi.org/10.1016/j.agwat.2024.108689
Zhu, D.; Zhang, H.; Guo, B.; Xu, K.; Dai, Q.; Wei, H.; Gao, H.; Hu, Y.; Cui, P.; Huo, Z. (2017). Effects of Nitrogen Level on Yield and Quality of Japonica Soft Super Rice. J. Integr. Agric., 16, 1018–1027.
Zú˜niga-Guti´errez, J., Andrey Caballero-Chavarría, Diana Zambrano, Ricardo Ulate-Molina, Federico Masís-Mel´endez (2025). Nitrate leaching in an on-site wastewater system: Monitoring and modeling with HYDRUS 1D. Journal of Water Process Engineering 70, 107049. http://dx.doi.org/10.2139/ssrn.4976224
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 M. H. Ali, P. Biswas

This work is licensed under a Creative Commons Attribution 4.0 International License.