An Approach to Estimate Optimal Cut-off Time under Deficit Irrigation

Author:

Ghorbanian Mohammad1,Ojaghlou Hassan2,Ebrahimian Hamed1

Affiliation:

1. University of Tehran

2. University of Zanjan

Abstract

Abstract The use of deficit irrigation technique has become inevitable due to the lack of water resources in many parts of the world. The goal of this study is to improve the performance of border irrigation under deficit strategy by determining the optimal cutoff time (Tco). For this purpose, field experiments and simulation modeling were carried out. The experimental borders were different in terms of inflow discharge, soil texture and length. 1024 combinations included different physical and management factors were analyzed by the WinSRFR software. By determining the optimal Tco for each combination, fifteen regression equations were extracted for three irrigation levels and five advance times (Ta) (times when water advanced to 30 to 70% of the border lengths). Two indexes including Y (combination of efficiency and uniformity indices) and Y′ (combination of efficiency, uniformity, and requirement efficiency) were used to evaluate border irrigation performance. Based on the validation results, the relationship between Tco and Ta at the 70% of the border length was introduced as a suitable option. The performance of the selected equation was evaluated using the field data. The results illustrated that the calculated values of Y and Y′ from the proposed method was in high agreement with theses from the common optimization method. Tco obtained from the proposed relationship improved the Y and Y′ indices by 9.4 and 6.6%, respectively, compared to the field conditions. The proposed relationship will guarantee application efficiency above 60%, uniformity and requirement efficiency above 80%.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3