Study on optimization of intermittent infiltration characteristics of surge irrigation by irrigation technical parameters

doi:10.13733/j.jcam.issn.2095-5553.2023.11.027

Abstract

Abstract: In order to quantitatively evaluate the influence of the irrigation technology parameters and their related interactive factors on the reduced infiltration effect of the intermittent infiltration, intermittent infiltration tests were carried out in shallow groundwater through the indoor soil infiltration tests. The accumulated infiltration amount and the reduced infiltration rate were taken as the experimental indices. At the same time, two methods (Partial Least Square method and stepwise selection method) were applied by the software of Minitab to take the regression analysis of three factors, which included the cycle rate, the cycle time of water and the number of cycles, the linear regression equation was established, and the variance analysis was conducted to the equations and the factors. The experimental results showed that the linear correlation of the regression equation was good, the coefficient of determination R2 was greater than 0.97, and the sum of error squares SSE was less than 1.1, which reflected the infiltration index of each single factor and its interaction well. Compared with PLSR, the stepwise selection method can meet the requirements of high precision. When the number of cycles is 3, the periodic water supply time is 30 min, and the intermittent infiltration cycle rate is 1/4, the infiltration volume is 6.29 cm, the seepage reduction rate is 19.15%, the standard error values are less than 0.01, and the consensus values are above 0.8. It lays a scientific foundation for the further study of surge irrigation water technology.

Key words: intermittent surge irrigation infiltration, infiltration characteristics, multifactor analysis, PLSR, stepwise selection method

摘要： 为定量评价波涌灌间歇入渗中灌水技术参数及交互作用对间歇入渗减渗作用的影响，通过室内土柱入渗试验，进行地下水浅埋下间歇入渗试验，以累积入渗量和减渗率作为试验指标，通过两种方法（偏最小二乘法和逐步选择法）对循环率、周期供水时间以及周期数3因素进行回归分析，并建立线性回归方程，对方程及其各因素进行方差分析。采用响应优化分析法对回归模型进行指标优化。试验结果表明：所建回归方程线性相关性较好，其决定系数R2大于0.97，误差平方和SSE小于1.1，较好地反应各单因素及其交互作用下的入渗指标。与偏最小二乘法相比，逐步选择法可满足较高精度要求，当周期数为3、周期供水时间为30min、间歇入渗循环率为1/4时，入渗量为6.29cm，减渗率为19.15%，标准误差值均小于0.01，合意值均达0.8以上。为波涌灌灌水技术进一步研究奠定科学基础。

关键词: 波涌灌间歇入渗, 入渗特性, 多因素分析, 偏最小二乘法, 逐步选择法

CLC Number:

S275.8

Xue Hua, Zhang Xiaobin, Fu Yuliang, He Zhenjia. Study on optimization of intermittent infiltration characteristics of surge irrigation by irrigation technical parameters[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(11): 184-191.

薛桦, 张晓斌, 傅渝亮, 何振嘉. 灌水技术参数对波涌灌间歇入渗特性优化研究[J]. 中国农机化学报, 2023, 44(11): 184-191.

References

［1］　陈琳, 费良军, 傅渝亮, 等. 地下水浅埋下层状土壤波涌畦灌间歇入渗模型研究［J］. 农业机械学报, 2018, 49(12): 314-324.
Chen Lin, Fei Liangjun, Fu Yuliang, et al. Intermittent infiltration model of surge border irrigation in layered soil under groundwater ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(12): 314-324.
［2］　傅渝亮, 费良军, 聂卫波, 等. 基于GreenAmpt和Philip模型的波涌灌间歇入渗模型研究［J］. 农业机械学报, 2016, 47(9): 194-201.
Fu Yuliang, Fei Liangjun, Nie Weibo, et al. Intermittentinfiltration of surge irrigation model research based on GreenAmpt and Philip models ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(9): 194-201.
［3］　Heydari N, Das Gupta A, Loof R. Salinity and sodicity influences on infiltration during surge flow irrigation ［J］. Irrigation Science, 2001, 20: 165-173.
［4］　代志伟, 程曼, 袁洪波, 等. 温室灌溉控制策略研究进展［J］. 中国农机化学报, 2022, 43(9): 63-72.
Dai Zhiwei, Cheng Man, Yuan Hongbo, et al. Review of irrigation control strategy for greenhouse ［J］. Journal of Chinese Agricultural Mechanization, 2022, 43(9): 63-72.
［5］　任玉忠, 董新光, 吴彬, 等. 干旱区枣园土壤水分运动及深层渗漏数值模拟［J］. 节水灌溉, 2010(9): 24-26.
Ren Yuzhong, Dong Xinguang, Wu Bin, et al. Numerical simulation of soil water movement and deep seepage of jujube orchard in drought area ［J］. Water Saving Irrigation, 2010(9): 24-26.
［6］　Ju Suh Y, Finch S J, Mendell N R. Application of a Bayesian method for optimal subset regression to linkage analysis of Q1 and Q2 ［J］. Genetic Epidemiology, 2001, 21(S1): S706-S711.
［7］　陈凤霞, 杨天伟, 李杰庆, 等. 基于偏最小二乘法判别分析与随机森林算法的牛肝菌种类鉴别［J］. 光谱学与光谱分析, 2022, 42(2): 549-554.
Chen Fengxia, Yang Tianwei, Li Jieqing, et al. Identification of boletus species based on discriminant analysis of partial least squares and random forest algorithm ［J］. Spectroscopy and Spectral Analysis, 2022, 42(2): 549-554.
［8］　李建更, 李辉. 样条变换偏最小二乘在肝癌数据分类中的应用［J］. 生物学杂志, 2011, 28(6): 58-61.
Li Jiangeng, Li Hui. The classification of hepatocellular carcinoma data set with partial least squares base on spline transformation ［J］. Journal of Biology, 2011, 28(6): 58-61.
［9］　徐培平, 张奉学, 符林春, 等. 基于均匀设计—偏最小二乘回归建模的中药复方配伍规律研究方法［J］. 中草药, 2011, 42(4): 819-824.
Xu Peiping, Zhang Fenxue, Fu Linchun, et al. A mathematical method for analyzing compatibility law of Chinese herbal formula based on UD-PLS ［J］. Chinese Traditional and Herbal Drugs, 2011, 42(4): 819-824.
［10］　Hafayed M. Singular meanfield optimal control for forwardbackward stochastic systems and applications to finance ［J］. International Journal of Dynamics and Control, 2014, 2: 542-554.
［11］　Ramírez J C, Cura C I, da Cruz Moreira O, et al. Analytical validation of quantitative realtime PCR methods for quantification of Trypanosoma cruzi DNA in blood samples from Chagas disease patients ［J］. The Journal of Molecular Diagnostics, 2015, 17(5): 605-615.
［12］　HoseinpourLonbar M, Alavi M Z, Palassi M. Selection of asphalt mix with optimal fracture properties at intermediate temperature using Taguchi method for design of experiment ［J］. Construction and Building Materials, 2020, 262: 120601.
［13］　傅渝亮, 费良军, 聂卫波, 等. 波涌灌间歇入渗饱和-非饱和土壤水分运动数值模拟及试验［J］. 农业工程学报, 2015(2): 66-71.
Fu Yuliang, Fei Liangjun, Nie Weibo, et al. Numerical simulation and experiment of soil moisture movement in saturatedunsaturated soil under surge irrigation ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2015(2): 66-71.
［14］　高昌珍, 左月明, 任开兴. 小定额波涌沟灌技术要素的多目标模糊优化模型［J］. 农业工程学报, 2006(10): 16-20.
Gao Changzhen, Zuo Yueming, Ren Kaixing. Multiobjective fuzzy optimization model for the determination ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2006(10): 16-20.
［15］　魏家兴, 费良军, 梁爽, 等. 泥沙颗粒级配组成对浑水波涌灌间歇入渗特性的影响研究［J］. 灌溉排水学报, 2023, 42(10): 57-62, 84.
Wei Jiaxing, Fei Liangjun, Liang Shuang, et al. Effects of sediment particle gradation composition on intermittent infiltration characteristics of muddy water surge irrigation ［J］. Journal of Irrigation and Drainage, 2023, 42(10): 57-62, 84.
［16］　Mahmood S, Latif M. A simple procedure for simulating surge infiltration using firstsurge infiltrometer data ［J］. Irrigation and Drainage: The Journal of the International Commission on Irrigation and Drainage, 2005, 54(4): 407-416.
［17］　李岚. 浑水波涌畦灌肥液间歇入渗土壤水氮运移特性及影响因素研究［D］. 西安: 西安理工大学, 2023.
［18］　龙天渝, 王延青, 安强, 等. 积水条件下连续和间歇供水对土壤入渗特性的影响［J］. 水土保持通报, 2012(3): 7-10, 22.
Long Tianyu, Wang Yanqing, An Jiang, et al. Effects of continuous and intermittent water supply on infiltration characteristic of a purple soil under ponding condition ［J］. Bulletin of Soil and Water Conservation, 2012(3): 7-10, 22.
［19］　雪静, 王全九, 毕远杰. 微咸水间歇供水土壤入渗特征［J］. 农业工程学报, 2009(5): 14-19.
Xue Jing, Wang Quanjiu, Bi Yuanjie. Soil infiltration properties with slight saline water intermittent application ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2009(5): 14-19.
［20］　严亚龙, 毕远杰, 郭向红, 等. 微咸水间歇供水方式土壤水盐分布分析［J］. 节水灌溉, 2015(6): 39-42, 46.
Yan Yalong, Bi Yuanjie, Guo Xianghong, et al. Analysis of soil water and salt distribution of saline water intermittent water supply mode ［J］.Water Saving Irrigation, 2015(6): 39-42, 46.
［21］　刘群昌, 许迪, 谢崇宝, 等. 波涌灌溉技术田间适应性分析［J］. 农业工程学报, 2002(1): 35-40, 12.
Liu Qunchang, Xu Di, Xie Chongbao, et al. Soil and water engineering adaptability of surge flow irrigation applying on farmland ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2002(1): 35-40, 12.
［22］　王文焰, 汪志荣, 费良军, 等. 波涌灌溉的灌水质量评价及计算［J］. 水利学报, 2000(3): 53-58.
Wang Wenyan, Wang Zhirong, Fei Liangjun, et al. Evaluation and calculation of irrigation quality in surge flow irrigation ［J］. Journal of Hydraulic Engineering, 2000(3): 53-58.
［23］　Ismail S M. Effect of tillage on water advance and distribution under surge and continuous furrows irrigation methods for cotton in Egypt ［J］. Irrigation and Drainage: The journal of the International Commission on Irrigation and Drainage, 2006, 55(2): 191-199.
［24］　Benham B L, Reddell D L, Marek T H. Performance of three infiltration models under surge irrigation ［J］. Irrigation Science, 2000, 20: 37-43.
［25］　孙秀路, 黄修桥, 李金山, 等. 波涌灌溉土壤水氮分布的田间试验研究［J］. 灌溉排水学报, 2015(1): 33-38.
Sun Xiulu, Huang Xiuqiao, Li Jinshan, et al. Field experimental study on soil water and nitrogen distributions under surge flow irrigation ［J］. Journal of Irrigation and Drainage, 2015(1): 33-38.
［26］　Horst M G, Shamutalov S S, Goncalves J M, et al. Assessing impacts of surgeflow irrigation on water saving and productivity of cotton ［J］. Agricultural water management, 2007, 87(2): 115-127.
［27］　尹娟, 费良军, 程东娟. 循环率对波涌灌间歇入渗特性和地下水水质影响的研究［J］. 干旱地区农业研究, 2007(4): 146-150.
Yin Juan, Fei Liangjun, Cheng Dongjuan. Impact of cycle rate on intermittent infiltration characteristics and groundwater quality ［J］. Agricultural Research in the ARID Areas, 2007(4): 146-150.
［28］　任开兴. 丘陵山区波涌沟灌试验及其技术要素优化［D］. 太原: 山西农业大学, 2003.
［29］　樊菊平, 费良军. 波涌灌间歇入渗减渗效果及影响因素研究［J］. 水土保持学报, 2003(6): 62-65.
Fan Juping, Fei Liangjun. Study on infiltrationreducing effect of intermittent infiltration and influential factors ［J］. Journal of Soil and Water Conservation, 2003(6): 62-65.
［30］　Mohammed M, Shafiq N, Elmansoury A, et al. Modeling of 3R (reduce, reuse and recycle) for sustainable construction waste reduction: A partial least squares structural equation modeling (PLS-SEM) ［J］. Sustainability, 2021, 13(19): 10660.
［31］　Yue C, Dang Y, Xue S, et al. A new optimal subset selection method of partial ambiguity resolution for precise point positioning ［J］. Remote Sensing, 2022, 14(19): 4819.
［32］　ElHaik B S. Manufacturing and design for six sigma (X-FSS) ［M］. University of Michigan College of Engineering Graduate Professional Programs, 2002.
［33］　钟韵, 费良军, 傅渝亮, 等. 多因素影响下土壤上升毛管水运动特性HYDRUS模拟及验证［J］. 农业工程学报, 2018, 34(5): 83-89.
Zhong Yun, Fei Liangjun, Fu Yuliang, et al. HYDRUS simulation and verification of movement characteristics of upward capillary water flow in soil as affected by multifactor ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(5): 83-89.
［34］　费良军, 谭金兰, 韩鑫, 等. 尿素肥液间歇入渗土壤水氮运移特性试验研究［J］. 干旱地区农业研究, 2013, 31(5): 245-250.
Fei Liangjun, Tan Jinlan, Han Xin, et al. Experimental investigation on water and nitrogen transforming characteristics under intermittent infiltration of urea solution ［J］. Agricultural Research in the Arid Areas, 2013, 31(5): 245-250.
［35］　慕运动. 响应面方法及其在食品工业中的应用［J］. 郑州工程学院学报, 2001(3): 91-94.
Mu Yundong. Response surface methodology and its application in food industry ［J］. Journal of Zhengzhou Grain College, 2001(3): 91-94.
［36］　韩克光, 甄守艳, 范华, 等. 钙螯合羊骨胶原多肽的制备及表征分析［J］. 农业工程学报, 2015(21): 301-307.
Han Keguang, Zhen Shouyan, Fan Hua, et al. Preparation and characteristic analysis of calciumchelated ossein peptide ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2015(21): 301-307.
［37］　柴朝晖, 方红卫, 姚仕明, 等. 黏性泥沙絮凝-沉降-再悬浮运动过程数学模型研究［J］. 水利学报, 2016, 47(12): 1540-1547.
Chai Chaohui, Fang Hongwei, Yao Shiming, et al. A model for the flocculationsettlingresuspension process of cohesive sediment ［J］. Journal of Hydraulic Engineering, 2016, 47(12): 1540-1547.
［38］　傅渝亮. 波涌畦灌层状土间歇入渗模型及地下水影响的肥液间歇入渗氮素运移特性［D］. 西安: 西安理工大学, 2018.
［39］　Miller J J, Foroud N, Lamond B J, et al. Continuous and surge irrigation effects on hydraulic parameters and water quality ［J］. Water Quality Research Journal, 2003, 38(3): 451-471.