Water Resources Management ( IF 4.3 ) Pub Date : 2020-07-19 , DOI: 10.1007/s11269-020-02610-8 Penghui Ma , Yajin Hu , Hansheng Liu , Yuannong Li
A microirrigation network system is composed of a subunit and main pipeline network. Previous optimization studies generally focused on manifolds or lateral pipes in subunits or main pipeline networks and did not consider systems as a whole; thus, a true optimum was difficult to achieve. In this paper, a microirrigation network system is optimized as a whole, and an innovative approach is proposed to optimize the subunit based on a maximum size objective. Based on four optimization models of a subunit for two optimization objectives and two layout modes, this paper discusses the optimum design criteria for a microirrigation network system by using the lowest annual total cost per unit area of the system as a measurement index. Mathematical optimization models of the subunit and main pipeline network were established and solved with a genetic algorithm. The subunit was treated as a whole to avoid an artificial distribution for the allowable pressure difference between the laterals and manifold in the subunit. The Clément methodology was used to determine the flow rates of pipelines in the peak period of irrigation. The results indicated that the annual total cost per unit area of the microirrigation network system obtained based on the optimization results of subunit model SWPL-A was the lowest considering various parameters. The annual total cost per unit area of the microirrigation network system obtained based on the optimization results of the SWPL-A subunit model was 0.79–14.90%, 0.94–3.01% and 0.28–5.20% lower than the costs obtained based on the optimization results of the SWUL-F, SWPL-F and SWUL-A subunit models, respectively. The results of this paper have some practical significance for the optimization of on-demand pressurized microirrigation network systems and regional pipeline networks.
中文翻译:
按需加压微灌溉网络系统的最佳设计标准:基于最大尺寸优化带有配对侧面的亚单元
微灌溉网络系统由一个子单元和主管道网络组成。先前的优化研究通常集中于子单元或主管道网络中的歧管或侧管,而没有将系统作为一个整体来考虑。因此,很难实现真正的最优。本文从整体上优化了微灌溉网络系统,并提出了一种基于最大尺寸目标优化亚单元的创新方法。基于具有两个优化目标和两个布局模式的子单元的四个优化模型,本文以最小的单位面积年总成本作为衡量指标,讨论了微灌溉网络系统的最佳设计标准。建立了子单元和主管道网络的数学优化模型,并用遗传算法求解。该子单元作为一个整体进行处理,以避免人为地分配该子单元的支管和歧管之间的允许压差。使用Clément方法确定灌溉高峰期的管道流量。结果表明,考虑到各种参数,基于子单元模型SWPL-A的优化结果获得的微灌溉网络系统每单位面积的年度总成本最低。根据SWPL-A亚单元模型的优化结果获得的微灌溉网络系统的单位面积年总成本为0.79–14.90%,0.94–3.01%和0.28–5。分别比根据SWUL-F,SWPL-F和SWUL-A子单元模型的优化结果获得的成本低20%。研究结果对于优化按需增压微灌网系统和区域管网具有一定的现实意义。