Estimation and Characterization of Deep Percolation from Rice and Berseem Fields Using Lysimeter Experiments on Sandy Loam Soil
Publication: Journal of Hydrologic Engineering
Volume 21, Issue 5
Abstract
Deep percolation from the root zone of water intensive crops reduces irrigation efficiency, minimizes water productivity and becomes an environmental threat by carrying chemical residues to groundwater systems. Quantification of the percolation process is often made indirectly without actual field observations. In the present case study, simple, locally constructed drainage type lysimeters were utilized to monitor daily deep percolation from the root zone of unpuddled sandy loam soil throughout the growth periods of rice and berseem fodder crops. Similarly, other water balance components were monitored on daily time steps during the crop growth periods (2013 and 2014). It was observed that a large volume of water is returned as deep percolation loss as physically demonstrated from lysimeter measurements. Overall, approximately 82% of the input water volume in rice season and 61.8% in berseem season accounted for deep percolation in unpuddled sandy loam soil of the experimental field. A simple water balance model was employed to compute deep percolation from the crop root zone. The deep percolation computed on a daily basis did not agree with the measured values; however, cumulative deep percolation computed on an extended time interval of seven days (weekly basis) for rice and between wetting intervals for berseem seasons agreed well with the model computed cumulative percolation. This could be attributable to the fact that some time is needed for drainage water to arrive lysimeter outlets located well below the crop root zone. Consequently, it can be concluded that in application of drainage type lysimeter water balance, estimation of deep percolation from a cropped area can be made fairly well in longer time steps than shorter time intervals. Specifically, heavy rainfall events resulted in large percolation losses. This study also proves that locally constructed lysimeters could effectively be utilized in water balance studies of a cropped area when used in combination with root zone soil moisture monitoring devices.
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Acknowledgments
The authors express their sincere thanks to the reviewers whose constructive suggestions have significantly improved the clarity of the manuscript. The financial support by the Ministry of Earth Sciences, Government of India, under an Indo-UK collaborative research grant titled “Mitigating Climate Change Effects on India Agriculture” is gratefully acknowledged.
References
Abdulkareem, J. H., Abdulkadir, A., and Abdu, N. (2015). “A review of different types of lysimeter used in solute transport studies.” Int. J. Plant Soil Sci., 8(3), 1–14.
Ahmad, A., Bastiaanssen, W. G. M., and Feddes, R. A. (2002). “Sustainable use of groundwater for irrigation: A numerical analysis of the subsoil water fluxes.” Irrig. Drain., 51(3), 227–241.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration: Guidelines for computing crop water requirements.” Food and Agriculture Organization of the United Nations, Rome.
Bertolino, A. V. F. A., Fernandes, N. F., Miranda, J. P. L., Souza, A. P., Lopes, M. R. S., and Palmieri, F. (2010). “Effects of plough pan development on surface hydrology and on soil physical properties in south-eastern Brazilian plateau.” J. Hydrol., 393(1–2), 94–104.
Bethune, M. G., Selle, B., and Wang, Q. J. (2008). “Understanding and predicting deep percolation under surface irrigation.” Water Resour. Res., 44(12), W12430.
Blyth, E., and Harding, R. J. (2011). “Methods to separate observed global evapotranspiration into the interception, transpiration and soil surface evaporation components.” Hydrol. Processes, 25(26), 4063–4068.
Bouman, B. A. M., Castañeda, A. R., and Bhuiyan, S. I. (2002). “Nitrate and pesticide contamination of groundwater under rice-based cropping systems: Past and current evidence from the Philippines.” Agric. Ecosyst. Environ., 92(2–3), 185–199.
Bouman, B. A. M., Feng, L., Tuong, T. P., Lu, G., Wang, H., and Feng, Y. (2007a). “Exploring options to grow rice using less water in northern China using a modelling approach. II: Quantifying yield, water balance components, and water productivity.” Agric. Water Manage., 88(1–3), 23–33.
Bouman, B. A. M., Lampayan, R. M., and Tuong, T. P. (2007b). “Water management in irrigated rice: Coping with water scarcity.” International Rice Research Institute, Los Banos, Philippines.
Chien, C. P., and Fang, W. T. (2012). “Modelling irrigation return flow for the return flow reuse system in rice fields.” Rice Water Environ., 10(3), 187–196.
Cholpankulov, E. D., Inchenkova, O. P., Paredes, P., and Pereira, L. S. (2008). “Cotton irrigation scheduling in central Asia: Model calibration and validation with consideration of groundwater contribution.” Irrig. Drain., 57(5), 516–532.
Choudhury, B. U., Singh, A. K., and Pradhan, S. (2013). “Estimation of crop coefficients of dry-seeded irrigated rice-wheat rotation on raised beds by field water balance method in the Indo-Gangetic plains, India.” Agric. Water Manage., 123, 20–31.
de Vries, M. E., Rodenburg, J., Bado, B. V., Sow, A., Leffelaar, P. A., and Giller, K. E. (2010). “Rice production with less irrigation water is possible in a Sahelian environment.” Field Crops Res., 116(1–2), 154–164.
Dewandel, B., Gandolfi, J.-M., de Condappa, D., and Ahmed, S. (2008). “An efficient methodology for estimating irrigation return flow coefficients of irrigated crops at watershed and seasonal scale.” Hydrol. Processes, 22(11), 1700–1712.
Flury, M., Yates, M. V., and Jury, W. A. (1999). “Numerical analysis of the effect of the lower boundary condition on solute transport in lysimeters.” Soil Sci. Soc. Am. J., 63(6), 1493–1499.
Hillel, D. (2004). Introduction to environmental soil physics, Elsevier Academic Press, Amsterdam, Netherlands.
Humphreys, E., and Gaydon, D. S. (2015). “Options for increasing the productivity of the rice-wheat system of north-west India while reducing groundwater depletion. 2. Is conservation agriculture the answer?” Field Crops Res., 173, 81–94.
HYDRUS-1D. [Computer software]. City, State or Country, Company.
Jalota, S. K., et al. (2009). “Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study.” Agri. Water Manage., 96(7), 1096–1104.
Kabat, P., van den Broek, B. J., and Feddes, R. A. (1992). “SWACROP: A water management and crop production simulation model.” ICID Bull., 41(2), 61–84.
Kennedy, P. B., and Mackie, W. W. (1925). “Berseem or Egyptian clover (Trifolium alexandrinum) a preliminary report.” Univ. of California, Berkeley, CA.
Kukal, S. S., and Aggarwal, G. C. (2002). “Percolation losses of water in relation to puddling intensity and depth in a sandy loam rice (Oryza sativa) field.” Agric. Water Manage., 57(1), 49–59.
Kukal, S. S., and Aggarwal, G. C. (2003). “Puddling depth and intensity effects in rice-wheat system on a sandy loam soil. II: Water use and crop performance.” Soil Till. Res., 74(1), 37–45.
Ladha, J. K., Fischer, K. S., Hossain, M., Hobbs, P. R., and Hardy, B., eds. (2000). “Improving the productivity and sustainability of rice-wheat systems of the Indo-Gangetic Plains: A synthesis of NARS-IRRI partnership research.” International Rice Research Institute, Los Banos, Philippines, 31.
Li, T., Humphreys, E., Gill, G., and Kukal, S. S. (2011). “Evaluation and application of ORYZA2000 for irrigation scheduling of puddled transplanted rice in north west India.” Field Crops Res., 122(2), 104–117.
Li, Y., Šimůnek, J., Jing, L., Zhang, Z., and Ni, L. (2014). “Evaluation of water movement and water losses in a direct-seeded-rice field experiment using Hydrus-1D.” Agric. Water Manage., 142, 38–46.
Liu, Y., Pereira, L. S., and Fernando, R. M. (2006). “Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation.” Agric. Water Manage., 84(1–2), 27–40.
Liu, Y., Teixeira, J. L., Zhang, H. J., and Pereira, L. S. (1998). “Model validation and crop coefficients for irrigation scheduling in the North China Plain.” Agric. Water Manage., 36(3), 233–246.
Mitchell, J., Cheth, K., Seng, V., Lor, B., Ouk, M., and Fukai, S. (2013). “Wet cultivation in lowland rice causing excess water problems for the subsequent non-rice crops in the Mekong region.” Field Crops Res., 152, 57–64.
Nishat, S., Guo, Y., and Baetz, B. W. (2007). “Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations.” Agric. Water Manage., 92(1–2), 53–63.
Oad, R., Lusk, K., and Podmore, T. (1997). “Consumptive use and return flows in urban lawn water use.” J. Irrig. Drain. Eng., 62–69.
Ochoa, C. G., Fernald, A. G., Guldan, S. J., and Shukla, M. K. (2007). “Deep percolation and its effects on shallow groundwater level rise following flood irrigation.” Am. Soc. Agri. Biol. Eng., 50(1), 73–81.
Ochoa, C. G., Fernald, A. G., Guldan, S. J., Tidwell, V. C., and Shukla, M. K. (2013). “Shallow aquifer recharge from irrigation in a semiarid agricultural Valley in New Mexico.” J. Hydrol. Eng., 1219–1230.
Phogat, V., Yadav, A. K., Malik, R. S., Kumar, S., and Cox, J. (2010). “Simulation of salt and water movement and estimation of water productivity of rice crop irrigated with saline water.” Rice Water Environ., 8(4), 333–346.
Shankar, V. (2007). “Modelling of moisture uptake by plants.” Ph.D. thesis., IIT Roorkee, Dept. of Civil Engineering, Roorkee, India.
Shankar, V., Hari Prasad, K. S., Ojha, C. S. P., and Govindaraju, R. S. (2012). “Model for nonlinear root water uptake parameter.” J. Irrig. Drain. Eng., 905–917.
Simunek, J., Sejna, M., and van Genuchten, M. Th. (1998). “The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated media. version 2.0, IGWMC-TPS-70.” International Ground Water Modelling Centre, Colorado School of Mines, Golden, CO, 202.
Sunil, K., Agrawal, R. K., Dixit, A. K., Rai, A. K., and Rai, S. K. (2012). “Forage crops and their management.” Indian Grassland and Fodder Research Institute, Jhansi, Uttar Pradesh, India, 60.
SWACROP. [Computer software]. City, State or Country, Company.
SWAP. [Computer software]. City, State or Country, Company.
Trout, T. J., Garcia-Castillas, I. G., and Hart, W. E. (1982). Soil water engineering: Field and laboratory manual, Academic Publishers, Jaipur, India.
Tuong, T. P., Wopereis, M. C. S., Marquez, J. A., and Kropff, M. J. (1994). “Mechanisms and control of percolation losses in irrigated puddled rice fields.” Soil Sci. Soc. Am. J., 58(6), 1794–1803.
Tyagi, N. K., Sharma, D. K., and Luthra, S. K. (2000). “Determination of evapotranspiration and crop coefficients of rice and sunflower with lysimeter.” Agric. Water Manage., 45(1), 41–54.
Tyagi, N. K., Sharma, D. K., and Luthra, S. K. (2003). “Determination of evapotranspiration for maize and berseem clover.” Irrig. Sci., 21(4), 173–181.
Vanclooster, M., Viaene, P., Diels, J., and Christiansen, K. (1994). “WAVE, a deterministic model for simulating water and agrochemicals in the soil and vadose environment.” Institute Land and Water Management, K.U. Leuven, Leuven, Belgium.
Wang, P., Song, X., Han, D., Zhang, Y., and Zhang, B. (2012). “Determination of evaporation, transpiration and deep percolation of summer corn and winter wheat after irrigation.” Agric. Water Manage., 105, 32–37.
Watanabe, K., et al. (2004). “Changes in seasonal evapotranspiration, soil water content, and crop coefficients in sugarcane, cassava, and maize fields in north-east Thailand.” Agric. Water Manage., 67(2), 133–143.
WAVE. [Computer software]. City, State or Country, Company.
Willis, T. M., Black, A. S., and Meyer, W. S. (1997). “Estimates of deep percolation beneath cotton in the Macquarie Valley.” Irrig Sci., 17(4), 141–150.
Yang, C., Yang, Z., Yang, Y., and Ouyang, Z. (2004). “ Rice root growth and nutrient uptake as influenced by organic manure in continuously and alternately flooded rice soils.” Agric. Water Manage., 70(1), 67–81.
Zhang, Z. B., Peng, X., Wang, L. L., Zhao, Q. G., and Lin, H. (2013). “Temporal changes in shrinkage behaviour of two paddy soils under alternative flooding and drying cycles and its consequence on percolation.” Geoderma, 192(1), 12–20.
Zwart, S. J., and Bastiaanssen, W. G. M. (2004). “Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize.” Agric. Water Manage., 69(2), 115–133.
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Journal of Hydrologic Engineering
Volume 21 • Issue 5 • May 2016
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© 2016 American Society of Civil Engineers.
History
Received: Mar 5, 2015
Accepted: Dec 14, 2015
Published online: Feb 23, 2016
Published in print: May 1, 2016
Discussion open until: Jul 23, 2016
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