Next Article in Journal
Runoff Prediction Method Based on Adaptive Elman Neural Network
Previous Article in Journal
Phosphorus Availability and Growth of Benthic Primary Producers in Littoral Lake Sediments: Are Differences Linked to Induced Bank Filtration?
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle

Synthetical Optimization of a Gravity-Driven Irrigation Pipeline Network System with Pressure-Regulating Facilities

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(5), 1112; https://doi.org/10.3390/w11051112
Received: 20 April 2019 / Revised: 17 May 2019 / Accepted: 23 May 2019 / Published: 27 May 2019
(This article belongs to the Section Water Use and Scarcity)
  |  
PDF [2108 KB, uploaded 29 May 2019]
  |  

Abstract

Due to the influence of topographic drops, a large elevation difference often occurs in the middle and lower sections of the main pipe of a gravity-driven irrigation pipe network (GDIPN) system. This elevation difference must be reduced appropriately through pressure reduction facilities (pressure-regulating ponds (PRPs) or pressure-reducing valves (PRVs)). The number and locations of PRPs are crucial factors in regulating and balancing the pressure head of the main pipe of a GDIPN system as well as in reducing the project cost. However, there are few studies on the optimization of this kind of pipe network system. In this paper, first, we generalize such type of GDIPN system, and a simplified mathematical model for such system optimization was established. A genetic algorithm based on a fixed proportion and direct comparison (GA-FPDC) was introduced to solve the model. Two existing projects were tested by the proposed method. The results show that the presented method not only improved the design efficiency and rationality but also greatly decreased the project cost. The presented method is effective and efficient to address optimization design of such GDIPN system problems. View Full-Text
Keywords: gravity-driven irrigation pipe network; pressure-regulating pond; pipe diameter; synthetical optimization; genetic algorithm gravity-driven irrigation pipe network; pressure-regulating pond; pipe diameter; synthetical optimization; genetic algorithm
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhao, R.-H.; Zhang, Z.-H.; He, W.-Q.; Lou, Z.-K.; Ma, X.-Y. Synthetical Optimization of a Gravity-Driven Irrigation Pipeline Network System with Pressure-Regulating Facilities. Water 2019, 11, 1112.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top