Application of MATLAB for Designing and Simulation of High-Efficiency Center Pivot Irrigation System

0Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Almost 5000 Glaciers of Pakistan are retreating. They are retreating faster than any other part of the World. Water availability per capita in Pakistan is dropping very alarmingly. Against a dismal supply of 191 million-acre feet, the demand for water is projected to escalate to 274 MAF by 2025, culminating into a deficit of 83 MAF. Pakistan has the world’s fourth-highest rate of water use and is already the third most water-stressed country in the world. Being an Agricultural country, more than 90 percent of Pakistan’s water resources are used by the agriculture sector. It’s a need for time to manage water resources and conserve water. High-efficiency irrigation systems are the most efficient way of water supply to agriculture which can provide better yield with minimum loss of water supply. The current study consists of a design simulation of a High-efficiency center pivot irrigation system on MATLAB. It is the most widely used software for simulation and design purpose which gives a more appropriate, simple and effective representation of results and User-friendly software for linear modeling. The simulation showed 99 % accurate results as the actual readings, e.g. the actual flow rate calculated at the field was 274 GPM while the designed value was 276.76 GPM. The designed total dynamic head was 110.34 feet, while the actual in the field was 108 feet. Through linear modeling, we can get our desired results very quickly and easily by adjusting our input parameters. Such a modeling approach provides a good understanding for engineers to design such water conservation technologies.

Cite

CITATION STYLE

APA

Rizvi, F. F., khan, W., Kazmi, S. M. R., & Umer, M. (2020). Application of MATLAB for Designing and Simulation of High-Efficiency Center Pivot Irrigation System. Pakistan Journal of Agricultural Research, 33(2), 362–370. https://doi.org/10.17582/journal.pjar/2020/33.2.362.370

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free