Study on the Flow Characteristics of Micro-sprinkler Hose with Different Structural Parameters

doi:10.11924/j.issn.1000-6850.casb2020-0075

Abstract

Abstract:

Micro-sprinkler hose, as a high-efficiency and water-saving irrigation technology, has been widely used in winter wheat and summer maize production, this paper aims to find out the main structural parameters that affect the single group flow of micro-sprinkler hose. A completely randomized experiment was conducted to study the effects of different number of micropores (X₁, 1, 2, 3, 5), angle for micropores (X₂, 0, 30, 60, 90o) and spacing between of micropores (X₃, 0.2, 0.4, 0.8, 1.2cm) on the flow (Q) of the micro-sprinkler hose. The results showed that the number of micropores played a leading role in influencing the single group flow, followed by the angle of micropores, and the spacing between of micropores had the smallest influence. When the number of micropores was increased from 1 to 5 micropores, the peak value of wetting area, wetting rate, flow and irrigation intensity were increased by 89.11%, 13.73%, 339.38% and 25.06%, respectively. With the spacing increase between the micropores and angle for micropores, the wetting area and single group flow increased at first and then decreased, the wetting rate showed a decreasing trend, and the peak irrigation intensity did not change significantly. The multiple linear regression equation was Q=22071.74 X₁+11247.09 X₂-7.34 X₃-34430.54. The model can explain more than 80.00% of the single group flow, and can be used to predict the single group flow. This study can provide theoretical reference for the parameter design of micro-sprinkler hose.

Key words: micro-sprinkler hose, water distribution, single group flow, multiple linear regression analysis

CLC Number:

S275.5

Zhang Mingzhi, Lu Zhenguang, Yin Qingfang, Li Yuan, Qiu Xinqiang, Yang Haochen, Zhang Yushun, Yin Yuqing. Study on the Flow Characteristics of Micro-sprinkler Hose with Different Structural Parameters[J]. Chinese Agricultural Science Bulletin, 2021, 37(17): 112-119.

Figures/Tables 10

References 22

[23]	严煦世, 范瑾初. 给水工程(第三版)[M]. 北京: 中国建筑工业出版社, 1995.
[24]	唐朝春, 孙亮, 冯巍, 等. 多孔配水管孔口出流量变化实验研究[J]. 南方冶金学院学报, 2004(2):54-57.
[25]	苟万里, 杨路华, 邸志刚, 等. 薄壁微喷带沿程水头损失试验研究[J]. 灌溉排水学报, 2019,38(5):79-83.
[26]	郑迎春, 杨路华, 翟宁, 等. 喷孔为节点式微喷带的水力特性初步研究[J]. 河北农业大学学报, 2009,32(2):106-110.
[27]	伍钦, 蔡梅琳, 曾朝霞, 等. 等直径流量分配管的计算[J]. 华南理工大学学报:自然科学版, 2000(7):94-98.
[28]	吴西杰, 祁晓暄, 郭梦玥, 等. 微喷带流态试验研究[J]. 南方农机, 2019,50(17):30,33.
[29]	周斌, 封俊, 张学军, 等. 微喷带单孔喷水量分布的基本特征研究[J]. 农业工程学报, 2003,19(4):101-103.
[30]	窦超银, 孟维忠, 张立坤, 等. 布孔方式对微喷带灌溉均匀度的影响[J]. 灌溉排水学报. 2015,34(12):42-46.
[1]	邸志刚, 杨路华, 苟万里, 等. 薄壁微喷带喷洒宽度模型构建[J]. 农业工程学报, 2019,35(17):28-34.
[2]	Zhang H, Liu H, Wang S, et al. Variations in growth, water consumption and economic benefit of transplanted cotton after winter wheat harvest subjected to different irrigation methods[J]. Scientific reports. 2019,9(1):14911-14972. doi: 10.1038/s41598-019-51212-x URL
[3]	张鹏娟, 杨利利, 霍杰, 等. 水沙变化过程冲淤转变双临界现象的模拟研究[J]. 宁夏大学学报:自然科学版, 2013(1):31-34.
[4]	吕丽华, 董志强, 李谦, 等. 微喷灌模式冬小麦产量形成及水分利用特性研究[J]. 麦类作物学报, 2020(2):1-10.
[5]	徐茹, 王文娥, 胡笑涛. 微喷带单孔水量分布影响因素试验研究[J]. 排灌机械工程学报, 2019: 1-8.
[6]	王冰心, 赵俊晔, 石玉, 等. 不同带长微喷带灌溉对麦田土壤水分分布和干物质积累及籽粒产量的影响[J]. 应用生态学报, 2018,29(11):3625-3633.
[7]	Li J, Xu X, Lin G, et al. Micro-irrigation improves grain yield and resource use efficiency by co-locating the roots and N-fertilizer distribution of winter wheat in the North China Plain[J]. Science of The Total Environment. 2018,643:367-377. doi: 10.1016/j.scitotenv.2018.06.157 URL
[8]	Fletcher E, Morgan K T, Qureshi J A, et al. Imidacloprid soil movement under micro-sprinkler irrigation and soil-drench applications to control Asian citrus psyllid (ACP) and citrus leafminer (CLM)[J]. PLOS ONE. 2018,13(3):e192668.
[9]	Baram S, Dabach S, Jerszurki D, et al. Upscaling point measurements of N₂O emissions into the orchard scale under drip and micro-sprinkler irrigation[J]. Agriculture, Ecosystems & Environment, 2018,265:103-111. doi: 10.1016/j.agee.2018.05.022 URL
[10]	满建国, 王东, 张永丽, 等. 不同喷射角微喷带灌溉对土壤水分布与冬小麦耗水特性及产量的影响[J]. 中国农业科学, 2013(24):5098-5112.
[11]	许金金, 张治平, 刘浩, 等. 长度和水压对微喷带沿程水肥均匀性的影响[J]. 灌溉排水学报, 2015(10):30-36.
[12]	张学军, 吴政文, 丁小明, 等. 微喷带水量分布特性试验分析[J]. 农业工程学报, 2009(4):66-69.
[13]	王建军, 杨筠晴, 蔡九茂, 等. 工作压力及喷射角度对微喷带单孔喷水特性影响的试验研究[J]. 节水灌溉, 2018(3):35-38.
[14]	于国丰, 窦超银, 张羽. 压片式微喷带单孔水量分布特性试验研究[J]. 灌溉排水学报, 2012(4):79-82.
[15]	李维雨, 胡环, 宓永宁. Φ40压片式微喷带单孔水量分布特性试验研究[J]. 中国农村水利水电, 2015(9):86-89.
[16]	Mana J, Junshengyu, Whitec P, et al. Effects of supplemental irrigation with micro-sprinkling hoses on water distribution in soil and grain yield of winter wheat[J]. Field Crops Research. 2014,161(2014):26-37. doi: 10.1016/j.fcr.2014.02.001 URL
[17]	Man J, Wang D, White P J. Photosynjournal and Drymass Production of Winter Wheat in Response to Micro-Sprinkling Irrigation[J]. Agronomy Journal, 2017,109(2):549-561. doi: 10.2134/agronj2016.05.0301 URL
[18]	徐茹, 王文娥, 胡笑涛. 水肥一体微喷带沿程压力及肥液浓度分布规律试验研究[J]. 节水灌溉, 2019(09):1-5.
[19]	王一博, 李道西, 杜微, 等. 低水头微喷带喷洒均匀度试验研究[J]. 人民黄河, 2018,40(7):146-149.
[20]	张以升, 朱德兰, 张林, 等. 折射式喷头喷灌强度及能量空间变化规律研究[J]. 农业机械学报, 2015,46(7):85-90.
[21]	王平. 滴灌湿润比对土壤水分分布及玉米生长生理指标影响研究[D]. 杨凌:西北农林科技大学, 2016.
[22]	孙红梅. 微喷带水量分布特性及试验分析[J]. 河南水利与南水北调, 2018,47(10):17-18.

处理	面积/cm²		湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)	处理	面积/cm²		湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)
处理	湿润	干燥	湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)	处理	湿润	干燥	湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)
1K	2126.25	4961.25	30.00	3817.35	17.62	3K60D0.2	4945.50	1417.50	77.72	28209.25	23.17
2K0D0.2	3532.50	2835.00	55.48	14862.13	20.14	3K60D0.4	4945.50	7087.50	41.10	30071.48	18.15
2K0D0.4	3532.50	2835.00	55.48	14851.55	14.84	3K60D0.8	5652.00	19845.00	22.17	34636.94	17.07
2K0D0.8	6358.50	0.00	100.00	27138.98	15.03	3K60D1.2	6358.50	24097.50	20.88	40413.61	18.81
2K0D1.2	6358.50	0.00	100.00	27325.30	14.19	3K90D0.2	3532.50	7087.50	33.26	21292.76	25.23
2K30D0.2	4945.50	1417.50	77.72	20317.70	18.97	3K90D0.4	4945.50	9922.50	33.26	31448.26	17.20
2K30D0.4	4945.50	1417.50	77.72	21001.80	19.37	3K90D0.8	4945.50	22680.00	17.90	32330.61	16.94
2K30D0.8	5652.00	4961.25	53.25	24059.67	15.50	3K90D1.2	6358.50	29767.50	17.60	41636.35	23.34
2K30D1.2	2826.00	12048.75	19.00	12150.33	20.21	5K0D0.2	6358.50	0.00	100.00	60107.94	32.43
2K60D0.2	3532.50	2835.00	55.48	14321.19	17.83	5K0D0.4	6358.50	0.00	100.00	62433.61	36.57
2K60D0.4	6358.50	4252.50	59.92	27311.38	19.30	5K0D0.8	6358.50	0.00	100.00	63007.65	33.85
2K60D0.8	5652.00	9213.75	38.02	24481.83	15.78	5K0D1.2	6358.50	0.00	100.00	63727.51	28.89
2K60D1.2	5652.00	21971.25	20.46	24869.11	19.71	5K30D0.2	9184.50	1417.50	86.63	89327.47	20.24
2K90D0.2	2119.50	4252.50	33.26	9122.38	21.52	5K30D0.4	10597.50	4252.50	71.36	104150.12	19.45
2K90D0.4	2826.00	7796.25	26.60	12291.86	18.73	5K30D0.8	10597.50	21262.50	33.26	107309.27	16.31
2K90D0.8	2826.00	12048.75	19.00	12462.12	16.12	5K30D1.2	10597.50	25515.00	29.35	107855.90	15.68
2K90D1.2	4239.00	27641.25	13.30	19812.60	14.94	5K60D0.2	7771.50	2835.00	73.27	76333.15	17.85
3K0D0.2	3532.50	2835.00	55.48	18768.35	26.89	5K60D0.4	12717.00	14175.00	47.29	127523.11	16.45
3K0D0.4	6358.50	0.00	100.00	36651.65	20.07	5K60D0.8	9184.50	26932.50	25.43	92409.62	17.53
3K0D0.8	6358.50	0.00	100.00	38186.00	16.44	5K60D1.2	10597.50	21262.50	33.26	105321.46	19.31
3K0D1.2	6358.50	0.00	100.00	39256.66	14.68	5K90D0.2	4945.50	9922.50	33.26	49896.28	20.97
3K30D0.2	6358.50	0.00	100.00	35337.66	18.05	5K90D0.4	7771.50	15592.50	33.26	78586.98	19.26
3K30D0.4	6358.50	4252.50	59.92	37601.05	18.85	5K90D0.8	7771.50	24097.50	24.39	78924.30	16.57
3K30D0.8	7771.50	11340.00	40.66	47464.63	18.35	5K90D1.2	7771.50	24097.50	24.39	79265.70	21.49
3K30D1.2	7771.50	15592.50	33.26	48004.83	17.14

处理	面积/cm²		湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)	处理	面积/cm²		湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)
处理	湿润	干燥	湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)	处理	湿润	干燥	湿润率/ %	单组流量/(mL/h)	灌水强度峰值/(mm/h)
1K	2126.25	4961.25	30.00	3817.35	17.62	3K60D0.2	4945.50	1417.50	77.72	28209.25	23.17
2K0D0.2	3532.50	2835.00	55.48	14862.13	20.14	3K60D0.4	4945.50	7087.50	41.10	30071.48	18.15
2K0D0.4	3532.50	2835.00	55.48	14851.55	14.84	3K60D0.8	5652.00	19845.00	22.17	34636.94	17.07
2K0D0.8	6358.50	0.00	100.00	27138.98	15.03	3K60D1.2	6358.50	24097.50	20.88	40413.61	18.81
2K0D1.2	6358.50	0.00	100.00	27325.30	14.19	3K90D0.2	3532.50	7087.50	33.26	21292.76	25.23
2K30D0.2	4945.50	1417.50	77.72	20317.70	18.97	3K90D0.4	4945.50	9922.50	33.26	31448.26	17.20
2K30D0.4	4945.50	1417.50	77.72	21001.80	19.37	3K90D0.8	4945.50	22680.00	17.90	32330.61	16.94
2K30D0.8	5652.00	4961.25	53.25	24059.67	15.50	3K90D1.2	6358.50	29767.50	17.60	41636.35	23.34
2K30D1.2	2826.00	12048.75	19.00	12150.33	20.21	5K0D0.2	6358.50	0.00	100.00	60107.94	32.43
2K60D0.2	3532.50	2835.00	55.48	14321.19	17.83	5K0D0.4	6358.50	0.00	100.00	62433.61	36.57
2K60D0.4	6358.50	4252.50	59.92	27311.38	19.30	5K0D0.8	6358.50	0.00	100.00	63007.65	33.85
2K60D0.8	5652.00	9213.75	38.02	24481.83	15.78	5K0D1.2	6358.50	0.00	100.00	63727.51	28.89
2K60D1.2	5652.00	21971.25	20.46	24869.11	19.71	5K30D0.2	9184.50	1417.50	86.63	89327.47	20.24
2K90D0.2	2119.50	4252.50	33.26	9122.38	21.52	5K30D0.4	10597.50	4252.50	71.36	104150.12	19.45
2K90D0.4	2826.00	7796.25	26.60	12291.86	18.73	5K30D0.8	10597.50	21262.50	33.26	107309.27	16.31
2K90D0.8	2826.00	12048.75	19.00	12462.12	16.12	5K30D1.2	10597.50	25515.00	29.35	107855.90	15.68
2K90D1.2	4239.00	27641.25	13.30	19812.60	14.94	5K60D0.2	7771.50	2835.00	73.27	76333.15	17.85
3K0D0.2	3532.50	2835.00	55.48	18768.35	26.89	5K60D0.4	12717.00	14175.00	47.29	127523.11	16.45
3K0D0.4	6358.50	0.00	100.00	36651.65	20.07	5K60D0.8	9184.50	26932.50	25.43	92409.62	17.53
3K0D0.8	6358.50	0.00	100.00	38186.00	16.44	5K60D1.2	10597.50	21262.50	33.26	105321.46	19.31
3K0D1.2	6358.50	0.00	100.00	39256.66	14.68	5K90D0.2	4945.50	9922.50	33.26	49896.28	20.97
3K30D0.2	6358.50	0.00	100.00	35337.66	18.05	5K90D0.4	7771.50	15592.50	33.26	78586.98	19.26
3K30D0.4	6358.50	4252.50	59.92	37601.05	18.85	5K90D0.8	7771.50	24097.50	24.39	78924.30	16.57
3K30D0.8	7771.50	11340.00	40.66	47464.63	18.35	5K90D1.2	7771.50	24097.50	24.39	79265.70	21.49
3K30D1.2	7771.50	15592.50	33.26	48004.83	17.14

模型	非标准化系数		标准化系数	T	显著性	与流量person系数
模型	B	标准误	Beta	T	显著性	与流量person系数
常数	-34430.54	7033.80		-4.90	0.00
微孔数量(X₁)	22071.74	1575.87	0.90	14.01	0.00	0.898**
微孔间距(X₂)	11247.09	5117.60	0.14	2.20	0.03	-0.008ns
微孔夹角(X₃)	-7.34	58.60	-0.01	-0.13	0.90	0.140ns

模型	非标准化系数		标准化系数	T	显著性	与流量person系数
模型	B	标准误	Beta	T	显著性	与流量person系数
常数	-34430.54	7033.80		-4.90	0.00
微孔数量(X₁)	22071.74	1575.87	0.90	14.01	0.00	0.898**
微孔间距(X₂)	11247.09	5117.60	0.14	2.20	0.03	-0.008ns
微孔夹角(X₃)	-7.34	58.60	-0.01	-0.13	0.90	0.140ns