Relationship between Measured and Computed Effective Rainfall Using Field Infiltrometers and CropWat Software under Sugarcane Land–Use System in Tropical Climate
Publication: Journal of Irrigation and Drainage Engineering
Volume 149, Issue 5
Abstract
A study was conducted to test the validity of four different mathematical models imbedded in CropWat software, which is widely used to estimate effective rainfall. The model values were statistically compared with the actual effective rainfall values measured by a field infiltrometer experiment. The study was conducted in a sugarcane land–use system under the tropical climate of Sevanagala, Sri Lanka, during the 2018 to 2019 growing season. The measured effective rainfall in the Sevanagala sugarcane growing area during the 12-month period was , around 70% of the total rainfall of . It was also found that 9% of the rainfall received at the top of the canopy was lost due to canopy interception. The results demonstrated the applicability of the mathematical models embedded in CropWat software to estimate the effective rainfall for sugarcane land–use systems in Sevanagala. Furthermore, the empirical regression formula embedded in CropWat software appeared to be the best-fit model for the estimation of effective rainfall because it had the highest index of agreement value, with an accuracy greater than 96%.
Practical Applications
The current findings can be used to accurately estimate the effective rainfall, which is the actual contribution of rainfall to be used by the sugarcane crop. The results obtains through this process can facilitate managers to prepare plans to reduce irrigation supply without affecting potential crop yields. Furthermore, findings will be useful to technical staff working in the fields of irrigation and water management. The information will be equally helpful to national-level regulatory agencies to prepare feasibility studies and plan future irrigation projects within the country. Irrigation agronomists will also benefit from the paper content because it will help them to handle farm-level operations and irrigation cost-reduction programs. Furthermore, the contents of this article will also be of interest to students and researchers working on hydrological modeling, crop simulation modeling, drought assessment, and empowering sustainable agriculture programs.
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Data Availability Statement
Rainfall, infiltration, rainfall interception, and sugarcane leaf area index data that supported the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The Sugarcane Research Institute of Sri Lanka is highly acknowledged for funding of the entire study.
References
Adnan, S., and A. H. Khan. 2009. “Effective rainfall for irrigated agriculture plains of Pakistan.” Pak. J. Meteorol. 6 (11): 61–72.
Ali, M. H., and S. Mubarak. 2017. “Effective rainfall calculation methods for field crops: An overview, analysis and new formulation.” Asian Res. J. Agric. 7 (1): 1–12. https://doi.org/10.9734/ARJA/2017/36812.
Bokke, A. S., and K. E. Shoro. 2020. “Impact of effective rainfall on net irrigation water requirement: The case of Ethiopia.” Water Sci. 34 (1): 155–163. https://doi.org/10.1080/11104929.2020.1749780.
Bos, M. G., R. A. L. Kselik, R. G. Allen, and D. Molden. 2008. Water requirements for irrigation and the environment. Dordrecht, Netherlands: Springer.
Chandwani, V., S. K. Vyas, V. Agrawal, and G. Sharma. 2015. “Soft computing approach for rainfall-runoff modelling: A review.” Aquat. Procedia 4 (Jan): 1054–1061. https://doi.org/10.1016/j.aqpro.2015.02.133.
Clarke, D., M. Smith, and K. El-Askari. 2001. CropWat for windows: User guide. Oak Brook, IL: IHE.
De Silva, A. L. C., L. M. J. R. Wijayawardhana, and W. R. G. Witharama. 2017. “Present status of research and development on climate change mitigation and future needs in the sugarcane sector in Sri Lanka.” In Proc., Workshop on ‘Present Status of Research Activities on Climate Change Adaptations’, edited by B. Marambe, 101–112. Colombo, Sri Lanka: Sri Lanka Council for Agricultural Research Policy.
Duchemin, B., et al. 2006. “Monitoring wheat phenology and irrigation in central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices.” Agric. Water Manage. 79 (1): 1–27. https://doi.org/10.1016/j.agwat.2005.02.013.
Fernandes, R. P., R. W. da Costa Silva, L. F. Salemi, T. M. B. de Andrade, J. M. de Moraes, A. I. Van Dijk, and L. A. Martinelli. 2017. “The influence of sugarcane crop development on rainfall interception losses.” J. Hydrol. 551 (Aug): 532–539. https://doi.org/10.1016/j.jhydrol.2017.06.027.
Johnson, A. I. 1963. A field method for measurement of infiltration. Washington, DC: US Government Printing Office.
Kuo, S. F., B. J. Lin, and H. J. Shieh. 2001. “CROPWAT model to evaluate crop water requirement in Taiwan.” In Proc., Int. Commission on Irrigation and Drainage 1st Asian Regional Conf. Taipei, Republic of China: Council of Agriculture.
Mitchelson, A. T., and D. C. Muckel. 1937. Vol. 576 of Spreading water for storage underground. Washington, DC: USDA.
Mohamadi, M. A., and A. Kavian. 2015. “Effects of rainfall patterns on runoff and soil erosion in field plots.” Int. Soil Water Conserv. Res. 3 (4): 273–281. https://doi.org/10.1016/j.iswcr.2015.10.001.
Obreza, T. A., and D. J. Pitts. 2002. “Effective rainfall in poorly drained micro irrigated citrus orchards.” Soil Sci. Soc. Am. J. 66 (1): 212–221. https://doi.org/10.2136/sssaj2002.2120.
Patwardhan, A. S., J. L. Nieber, and E. L. Johns. 1990. “Effective rainfall estimation methods.” J. Irrig. Drain. Eng. 116 (2): 182–193. https://doi.org/10.1061/(ASCE)0733-9437(1990)116:2(182).
Sarangi, A., S. S. Parihar, D. K. Singh, T. B. S. Rajput, S. Chakraborthi, S. K. Wdkar, and A. Kumar. 2011. “Comparative evaluation of crop coefficient of maize using weighing type lysimeter and FAO Penman Monteith equation.” In Proc., 45th Annual Convention of ISAE and Int. Symp. on Water for Agriculture, 138. Akola, India: Indian Society of Agricultural Engineers.
Simonet, D., and R. Alnaizy. 2020. “Cell phone app to optimize irrigation cycles for US crops.” Meteorol. Appl. 27 (2): e1890. https://doi.org/10.1002/met.1890.
Stringham, T. K., K. A. Snyder, D. K. Snyder, S. S. Lossing, C. A. Carr, and B. J. Stringham. 2018. “Rainfall interception by single leaf piñon and Utah juniper: Implications for stand-level effective precipitation.” Rangeland Ecol. Manage. 71 (3): 327–335. https://doi.org/10.1016/j.rama.2017.12.009.
Surendran, U., C. M. Sushanth, G. Mammen, and E. J. Joseph. 2015. “Modelling the crop water requirement using FAO-CROPWAT and assessment of water resources for sustainable water resource management: A case study in Palakkad district of humid tropical Kerala, India.” Aquat. Procedia 4 (Jan): 1211–1219. https://doi.org/10.1016/j.aqpro.2015.02.154.
Suryatmojo, H. 2015. “Rainfall-runoff investigation of pine forest plantation in the upstream area of Gajah Mungkur reservoir.” Procedia Environ. Sci. 28 (Jan): 307–314. https://doi.org/10.1016/j.proenv.2015.07.039.
Wijayawardhana, L. M. J. R., A. L. C. de Silva, and W. R. G. Witharama. 2013. “Assessment of water requirement of sugarcane. Banana and Paddy in Sevanagala.” In Proc., 69th Annual Sessions. Colombo, Sri Lanka: Sri Lanka Association for the Advancement of Science.
Wijayawardhana, L. M. J. R., A. L. C. de Silva, and W. R. G. Witharama. 2014. “Optimizing planting schedule of sugarcane for saving irrigation water in Sevanagala and Udawalawe Sri Lanka, Sugarcane Sri Lanka.” In Proc., Fifth Symp. on Plantation Crop Research—Towards a Green Plantation Economy, 105–110. Uda Walawe, Sri Lanka: Sugarcane Research Institute.
Willmott, C. J. 1981. “On the validation of models.” Phys. Geogr. 2 (2): 184–194. https://doi.org/10.1080/02723646.1981.10642213.
Wu, J., et al. 2019. “Estimating rainfall interception of vegetation canopy from MODIS imageries in southern China.” Remote Sens. 11 (21): 2468. https://doi.org/10.3390/rs11212468.
Wyseure, G. C. L., K. Sanmuganathan, and J. R. O’Callaghan. 1994. “Use of simulation for combining rainfed and irrigated sugarcane production in the dry zone of Sri Lanka.” Comput. Electron. Agric. 11 (4): 323–335. https://doi.org/10.1016/0168-1699(94)90023-X.
Zhang, J., H. Zhang, H. Xiao, H. Fang, Y. Han, and L. Yu. 2021. “Effects of rainfall and runoff-yield conditions on runoff.” Ain Shams Eng. J. 12 (2): 2111–2116. https://doi.org/10.1016/j.asej.2020.10.010.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 149 • Issue 5 • May 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: May 11, 2022
Accepted: Jan 4, 2023
Published online: Feb 28, 2023
Published in print: May 1, 2023
Discussion open until: Jul 28, 2023
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