Model-Based Optimization of Design Parameters of Subsurface Drain in Cotton Field under Mulch Drip Irrigation

被引:6
|
作者
Xu, Yibin [1 ,2 ]
Liu, Hongguang [1 ,2 ]
Gong, Ping [1 ,2 ]
Li, Pengfei [1 ,2 ]
Li, Ling [1 ,2 ]
Xu, Qiang [1 ,2 ]
Xue, Bao [1 ,2 ]
Guo, Yaru [1 ,2 ]
Zhang, Yao [1 ,2 ]
Tian, Rumeng [1 ,2 ]
机构
[1] Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi 832000, Peoples R China
[2] Xinjiang Prod & Construct Grp, Key Lab Modern Water Saving Irrigat, Shihezi 832000, Peoples R China
基金
中国国家自然科学基金;
关键词
DRAINMOD model; drip irrigation under film; subsurface pipe drainage; real-coded accelerated genetic algorithm-projection pursuit classification (RAGA-PPC) model; SOIL; AMELIORATION; SALINIZATION; STRATEGIES; MANAGEMENT;
D O I
10.3390/w14213369
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, the influence of the relevant parameters of a subsurface pipe layout on soil water and salt transport in a cotton field under mulched drip irrigation is explored. Based on the measured data of the changes in the groundwater level and salt in the field, the DRAINMOD numerical model has been used for simulating the water and salt dynamics of a salinized cotton field under subsurface pipe drainage. The results of the investigation show that the DRAINMOD model can accurately simulate the changes in the hydrological conditions and the salt-leaching process in the study area. The average deviation between the simulated and measured values of the groundwater depth in 2013 and 2014 was -1.72 cm and 2.43 cm, the average absolute deviation was 3.84 cm and 2.43 cm, the root mean square error was 5.14 cm and 3.63 cm, and the correlation coefficient was 0.87 and 0.94, respectively. The average deviation between the simulated and measured values of soil salinity in 2013 and 2014 was -0.68 g/kg and -1.86 g/kg, the average absolute deviation was 1.60 g/kg and 1.99 g/kg, the root mean square error was 1.95 g/kg and 2.99 g/kg, and the correlation coefficient was 0.82 and 0.86, respectively, which are all within the acceptable error range. After validation, the model was used to simulate and analyze the desalination process of a cotton field in the study area for 27 different subsurface pipe layout modes. The projection pursuit classification model has been combined with the accelerated genetic algorithm based on real-number coding. The comprehensive benefits of the subsurface pipe layout were evaluated using the construction cost, average desalination rate, and relative yield of cotton as the evaluation indices. The results show that C-11 (buried depth 2.1 m, spacing 30 m) is the optimal layout of the subsurface pipe. The results of this study can provide theoretical support and scientific guidance for the popularization and application of subsurface pipe salt discharge technology and drip irrigation under film in the arid inland areas of northwest China.
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页数:17
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