Simulation and optimization of irrigation schedule for summer maize based on SWAP model in saline region
Keywords:
SWAP model, summer maize, irrigation schedule, saline region, LubotanAbstract
In order to explore the appropriate irrigation schedule for summer maize, a field experiment was conducted in 2013 in Lubotan of Shaanxi Province. Soil water content, soil salinity, soil hydraulic parameters, crop growth parameters and summer maize yield were measured in the experiment. The SWAP model was calibrated based on field experiment observation data in 2013. The SWAP model was used to simulate and optimize irrigation schedule for summer maize after calibration. The results showed that model simulation results of soil water content, soil salinity and summer maize yield agreed well with the measured values. The Root Mean Square Error (RMSE) and Mean Relative Error (MRE) were within the allowable error ranges. The RMSE values were all lower than 0.05 cm3/cm3 and the MRE values were lower than 15% in soil water content calibration. The RMSE values were all lower than 0.1 mg/cm3 and the MRE values were lower than 20% in soil salinity calibration. The RMSE and MRE values were 1299.6 kg/hm2 and 15.26% in summer maize yield calibration. The model parameters suitable for the study area were obtained in calibration. The SWAP model could be used to simulate and optimize irrigation schedule for summer maize after calibration. The SWAP model was used to simulate soil water-salt balance, summer maize yield and water use efficiency under different irrigation schedules. The model simulation results for different irrigation schedules indicated that the optimal irrigation schedules of summer maize were three times each for jointing stage (July 5), heading stage (August 5) and grain filling stage (August 30) with irrigation amount of 128 mm, 128 mm and 96 mm, respectively. The optimal irrigation quota was 352.0 mm for summer maize in the study area. Keywords: SWAP model, summer maize, irrigation schedule, saline region, Lubotan DOI: 10.25165/j.ijabe.20201303.5218 Citation: Pan Y X, Yuan C F, Jing S Y. Simulation and optimization of irrigation schedule for summer maize based on SWAP model in saline region. Int J Agric & Biol Eng, 2020; 13(3): 117–122.References
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[19] Chen B, Yang X, Zhao J K. Planting technology for great yield of summer maize at Guanzhong District, Shaanxi Province. Modern Agricultural Science and Technology, 2013; 5: 48–48. (in Chinese)
[2] Yang J S. Development and prospect of the research on salt-affected soils in china. Acta Pedologica Sinica, 2008; 5: 837–845.
[3] Zhou Z M, Zhao S H. Influencing factors on surface soil salt accumulation the semi-arid North China Plain. Arid Land Geography, 2015; 38(5): 976–984. (in Chinese)
[4] Pan Y X, Luo W, Jia Z H, Li J, Chen Y. Experiment on salt exchange between sediments and ponding water in drainage ditches of saline farmland. Transactions of the CSAE, 2013; 29(2): 81–87. (in Chinese)
[5] Quan Q, Xie J C, Shen B, Luo W. Soil sampling method based on field measurements and remote sensing images. Transactions of the CSAE, 2010; 26(12): 237–241. (in Chinese)
[6] Pan Y X, Luo W, Jia Z H, Jing S Y, Li S, Wu D. Experimental study on measuring soil water content with TRIME-T3 in a saline environment. Arid Land Geography, 2017; 40(1): 108–113. (in Chinese)
[7] Pan Y X, Luo W, Jia Z H, Jing S Y, Li S, Wu D. The simulation of water and salt transportation by HYDRUS model in Lubotan of Shaanxi, China. Agricultural Research in the Arid Areas, 2017; 35(1): 135–142. (in Chinese)
[8] Han W C. Study and practice report about comprehensive governance and harmonious ecological environment model for salt-alkaline land at Lubotan District, Shaanxi. Shaanxi: Shaanxi Provincial Land Engineering Construction Group, 2008.
[9] Xu X, Huang G H, Zhan H B, Qu Z Y, Huang Q Z. Integration of SWAP and MODFLOW-2000 for modeling groundwater dynamics in shallow water table areas. Journal of Hydrology, 2012; 412–413: 170–181.
[10] Ma Y, Feng S Y, Huo Z L, Song X F. Application of the SWAP model to simulate the field water cycle under deficit irrigation in Beijing. Mathematical and Computer Modelling, 2011; 54: 1044–1052.
[11] Sheng Y, Zhao C Y, Jia H T. Effects of Water and Fertilizer Coupling on Soil Moisture Movement in Corn Fields. Arid Land Geography, 2005; 28(6): 811–817. (in Chinese)
[12] Wang X P, Yang J S, Yao R J, Yu S P. Irrigation regime and salt dynamics for rice with brackish water irrigation in coastal region of North Jiangsu Province. Transactions of the CSAE, 2014; 30(7): 54–63. (in Chinese)
[13] Yang J G, Huang G H, Ye D Z, Xu X, Wang J, Huang Q Z, et al. Saline water irrigation management for spring wheat in the Yellow River Irrigation District of Ningxia. Transactions of the CSAE, 2010; 26(4): 49–56. (in Chinese)
[14] Yang S Q, Ye Z G, Shi H B, Lan Y T. Simulation and prediction of rotational irrigation with salty and fresh water in the Hetao irrigation area of Inner Mongolia. Transactions of the CSAE, 2010; 26(8): 8–17. (in Chinese)
[15] Ma Y, Feng S Y, Song X F. Evaluation of optimal irrigation scheduling and groundwater recharge at representative sites in the North China Plain with SWAP model and field experiments. Computers Electronics Agriculture, 2015; 116: 125–136.
[16] Qureshi A S, Ahmad W, Ahmad A F A. Optimum groundwater table depth and irrigation schedules for controlling soil salinity in central Iraq. Irrigation and Drainage, 2013; 62(4): 414–424.
[17] Doorenbos J, Kassam A H. Yield response to water. FAO Irrigation and Drainage Paper 33, FAO, Rome, Italy, 1979.
[18] Van D J C, Huygen J, Wesseling J G, Feddes R A, Kabat P, Walsum P E V, et al. Theory of SWAP Version 2.0.Simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment. Wageningen: Wageningen Agricultural University and DLO Winand Staring Centre, 1997; pp.19–114.
[19] Chen B, Yang X, Zhao J K. Planting technology for great yield of summer maize at Guanzhong District, Shaanxi Province. Modern Agricultural Science and Technology, 2013; 5: 48–48. (in Chinese)
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Published
2020-06-08
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Pan, Y., Yuan, C., & Jing, S. (2020). Simulation and optimization of irrigation schedule for summer maize based on SWAP model in saline region. International Journal of Agricultural and Biological Engineering, 13(3), 117–122. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/5218
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Natural Resources and Environmental Systems
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