English
引用本文:段晓宁,何武全,李 渤,等.自压滴灌系统田间管网工程建设规模优化研究[J].灌溉排水学报,2022,41(6):64-71.
DUAN Xiaoning,HE Wuquan,LI Bo,et al.自压滴灌系统田间管网工程建设规模优化研究[J].灌溉排水学报,2022,41(6):64-71.
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 813次   下载 622 本文二维码信息
码上扫一扫!
分享到: 微信 更多
自压滴灌系统田间管网工程建设规模优化研究
段晓宁,何武全,李 渤,石晓悟,田雨丰
1.西北农林科技大学 水利与建筑工程学院,陕西 杨凌 712100;2.旱区农业水土工程教育部 重点实验室,陕西 杨凌 712100;3.中国电建集团西北勘测设计研究院有限公司,西安 710065
摘要:
【目的】合理划分多级枢纽自压滴灌系统田间管网工程建设规模,使工程综合成本费用最小化。【方法】以考虑工程使用年限的单位面积综合成本费用最低为目标,以管网布置、管径、流量、压力为约束条件,建立了多级枢纽自压滴灌系统田间管网工程建设规模优化数学模型,并采用原子搜索优化算法进行求解。【结果】以新疆某两级枢纽自压滴灌工程为例,采用该方法对其田间管网工程规模进行优化,当田间管网工程规模为89 hm2时,单位面积综合成本费用最低,田间管网工程规模为74~98 hm2范围时较优。同时,计算分析不同灌水器间距、毛管间距及灌水器设计流量下的最优工程规模,三者组合方式不同最优规模不同,对应的田间长宽比范围为1.00~1.30,且最优规模对应的单位面积综合成本费用随着灌水器间距或毛管间距的增大而减小,随着灌水器设计流量的增大而增大。【结论】该方法可对多级枢纽自压滴灌系统的田间管网工程规模进行优化,另外,原子搜索优化算法稳定,计算速度较快,计算精度高,该方法对自压滴灌系统的优化设计具有一定的应用价值。
关键词:  多级枢纽;自压滴灌;田间管网工程;建设规模优化;原子搜索优化算法
DOI:10.13522/j.cnki.ggps.2022038
分类号:
基金项目:
Optimizing Construction Scale of Field Pipe Network Project in Gravity-driven Drip Irrigation System
DUAN Xiaoning, HE Wuquan, LI Bo, SHI Xiaowu, TIAN Yufeng
1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China; 2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Yangling 712100, China; 3. Power China Northwest Engineering Corporation Limited, Xi’an 710065, China
Abstract:
【Background and objective】Gravity-driven drip irrigation is a technology using water pressure drop generated by natural terrain to deliver water from its source to emitters. The multi-level drip irrigation system uses its first-level pivot as the water source to deliver water to each head pivot in the subsystems by a pipe network. Optimizing the pipe network is hence critical to reducing project cost without compromising its operation. The objective of this paper is to present a new optimization method. 【Method】 We took minimization of the comprehensive cost per unit area of the project as the objective function, and the layout of pipe network, pipe diameter, emitter-flow rate and water pressure as constraints. The optimization model was solved using the atom search optimization. We applied the method to a two-level gravity-drive drip irrigation project in Xinjiang to demonstrate its reliability. 【Result】The cost per unit area is least when construction area of the pipe network project is 89 hm2, and excellent when the construction area is in the range of 74 to 98 hm2. Optimization of the construction area under different combinations of emitter spacing, capillary pipe spacing, and emitter-flow rate shows that the optimal results vary with their combinations. For length-width ratio of the construction field in the range of 1.00 to 1.30, the minimized cost per unit area decreases with the increase in emitter spacing and capillary-pipe spacing and increases with the increase in emitter-flow rate. 【Conclusion】The proposed optimization method is able to optimize pipe network for multi-level gravity-driven drip irrigation systems. The method is computationally stable and efficient. It is applicable for designing gravity-driven drip irrigation network systems.
Key words:  multi-level pivot; gravity drip irrigation; field pipe network project; optimization of construction scale; atom search optimization