Using industrial computed tomography to determine the spatial distribution of clogging substances in drip irrigation emitter flow channels

Author:

Yao Yuqian12,Shen Yan1,Ma Changjian3,Zhang Kai1,Li Jingzhi12,Xiao Yang12ORCID,Li Yunkai12

Affiliation:

1. College of Water Resources and Civil Engineering China Agricultural University Beijing China

2. Engineering Research Center for Agricultural Water‐Saving and Water Resources Ministry of Education Beijing China

3. State Key Laboratory of Nutrient Use and Management, Institute of Agricultural Resources and Environment Shandong Academy of Agricultural Sciences Jinan China

Abstract

AbstractDrip irrigation using poor‐quality water is effective for addressing agricultural water shortages, but it can lead to emitter clogging. However, little is known about the formation behaviour of clogging substances inside emitters when using reclaimed effluent. This study used industrial computed tomography (ICT) to determine the spatial distribution of clogging substances within emitter flow channels. The results showed that 21%–27% of the clogging substances were on the top face, and 20%–26% were on the substrate face, with less than 20% on the downstream and root faces. Clogging substances concentrated at the front of flow channels accounted for 38%–61% of the first structural unit. As the flow channel length increased, there was a significant fluctuation in the volume of clogging substances on the upstream and downstream faces, while changes on the upstream face, downstream face and root face exhibited relatively minor fluctuations. It is recommended to focus on controlling clogging substances on the top and substrate faces, as well as at the front of the emitter flow channel. These findings contribute to a better understanding of the spatial distribution of clogging substances in emitter flow channels, which is crucial for the development of anti‐clogging emitters and the promotion of poor‐quality water drip irrigation technology.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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