IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i5p788-d1398089.html
   My bibliography  Save this article

A Standardized Treatment Model for Head Loss of Farmland Filters Based on Interaction Factors

Author

Listed:
  • Zhenji Liu

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Cold and Arid Regions Eco-Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi 832000, China)

  • Chenyu Lei

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

  • Jie Li

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

  • Yangjuan Long

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

  • Chen Lu

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

Abstract

A head loss model for pressureless mesh filters used in farmland irrigation was developed by integrating the four basic test factors: irrigation flow, filter cartridge speed, self-cleaning flow, and initial sand content. The model’s coefficient of determination was found to be 98.61%. Among the basic factors, the total irrigation flow accounted for only 17.20% of the relatively small self-cleaning flow. The contribution of initial sand content was found to be the smallest, with a coefficient of only 0.0166. Furthermore, the contribution rate of the flow term was significantly higher than that of the initial sand content, with a value of 159.73%. In terms of quadratic interaction, the difference between the interaction term of flushing flow and filter cartridge speed, and the interaction term of filter cartridge speed and self-cleaning flow was 38.42%. On the other hand, the difference within this level for the interaction term between initial sand content and filter cartridge speed, as well as the interaction term between irrigation flow and self-cleaning flow, was 2.82%. Finally, through joint optimization of the response surface and model, the optimal values for the irrigation flow rate, filter cartridge speed, self-cleaning flow rate, and initial sand content were determined to be 121.687 m 3 ·h −1 , 1.331 r·min −1 , 19.980 m 3 ·h −1 , and 0.261 g·L −1 ; the measured minimum head loss was found to be 21.671 kPa. These research findings can serve as a reference for enhancing the design of farmland filters and optimizing irrigation systems.

Suggested Citation

  • Zhenji Liu & Chenyu Lei & Jie Li & Yangjuan Long & Chen Lu, 2024. "A Standardized Treatment Model for Head Loss of Farmland Filters Based on Interaction Factors," Agriculture, MDPI, vol. 14(5), pages 1-19, May.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:788-:d:1398089
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/5/788/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/5/788/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Milstein, Ana & Feldlite, Mordehai, 2014. "Relationships between clogging in irrigation systems and plankton community structure and distribution in wastewater reservoirs," Agricultural Water Management, Elsevier, vol. 140(C), pages 79-86.
    2. Coelho, Rubens Duarte & Almeida, Alex Nunes de & Costa, Jéfferson de Oliveira & Pereira, Diego José de Sousa, 2022. "Mobile drip irrigation (MDI): Clogging of high flow emitters caused by dragging of driplines on the ground and by solid particles in the irrigation water," Agricultural Water Management, Elsevier, vol. 263(C).
    3. Muhammad Ahmed Shehzad & Adnan Bashir & Muhammad Noor Ul Amin & Saima Khan Khosa & Muhammad Aslam & Zubair Ahmad & Ibrahim Almanjahie, 2021. "Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Milstein, Ana & Feldlite, Mordehai, 2015. "Particle circulation in irrigation reservoirs: The role of filter backwash reject on filter clogging," Agricultural Water Management, Elsevier, vol. 158(C), pages 139-144.
    2. Milstein, Ana & Feldlite, Mordehai, 2015. "Relationships between thermal stratification in a secondarily treated wastewater reservoir that stores water for irrigation and filter clogging in the irrigation system," Agricultural Water Management, Elsevier, vol. 153(C), pages 63-70.
    3. Lv, Chang & Niu, Wenquan & Du, Yadan & Sun, Jun & Dong, Aihong & Wu, Menglong & Mu, Fei & Zhu, Jinjin & Siddique, Kadambot H.M., 2024. "A meta-analysis of labyrinth channel emitter clogging characteristics under Yellow River water drip tape irrigation," Agricultural Water Management, Elsevier, vol. 291(C).
    4. do Amaral, Marcos Antonio Correa Matos & Coelho, Rubens Duarte & de Oliveira Costa, Jéfferson & de Sousa Pereira, Diego José & de Camargo, Antonio Pires, 2022. "Dripper clogging by soil particles entering lateral lines directly during irrigation network assembly in the field," Agricultural Water Management, Elsevier, vol. 273(C).
    5. Hou, Peng & Ma, Changjian & Wang, Jia & Li, Yan & Zhang, Kai & Hou, Shance & Li, Jingzhi & Sun, Zeqiang & Xiao, Yang & Li, Yunkai, 2024. "Failure behavior of pressure compensating emitter under different operation pressures in drip irrigation systems," Agricultural Water Management, Elsevier, vol. 297(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:788-:d:1398089. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.