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Study on Fugitive Dust Control Technologies of Agricultural Harvesting Machinery

Author

Listed:
  • Yuan Liu

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Long Shao

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Wanzhang Wang

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Jinfan Chen

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Heng Zhang

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Yue Yang

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Baichen Hu

    (College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

Abstract

The fugitive dust generated by agricultural harvesting machinery not only causes harm to production safety, but also affects the living environment of people in agricultural areas. This is also one of the hot issues that have emerged in the green development of rural areas in recent years, which is related to agricultural safety and hygiene culture. Due to the lack of relevant research, many researchers still have considerable controversy on the issue of agricultural dust. Therefore, in combination with the actual production of agricultural mechanization, according to the cause of dust generation and particle characteristics, the selection of appropriate dust reduction technology and detection methods is of great significance for the research on the control of dust from agricultural harvesting machinery. Aiming at the dust problem in agricultural mechanization production, this research first introduces the relationship between fugitive dust and atmospheric particulate matter and the main components of fugitive dust, and then focuses on the causes of dust generated by wheat harvesters and peanut harvesters in field operations, and explains the main hazards of dust to human health, ecological environment, and climate. This study introduces four fugitive dust emission reduction technologies and five particle measurement methods, and compares and analyzes their feasibility in the application of agricultural harvesting machinery dust control. Finally, we put forward conclusions and suggestions on the dust control technology of agricultural harvesting machinery in order to provide reference for the control of agricultural harvesting machinery dust, improve the field operation environment, and promote the green development of modern agriculture.

Suggested Citation

  • Yuan Liu & Long Shao & Wanzhang Wang & Jinfan Chen & Heng Zhang & Yue Yang & Baichen Hu, 2022. "Study on Fugitive Dust Control Technologies of Agricultural Harvesting Machinery," Agriculture, MDPI, vol. 12(7), pages 1-22, July.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:1038-:d:864284
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    References listed on IDEAS

    as
    1. Balram Ambade & Sampad Ghosh, 2013. "Characterization of PM 10 in the ambient air during Deepawali festival of Rajnandgaon district, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 589-598, October.
    2. Peng Zhang & Hongbo Xu & Zhichao Hu & Youqing Chen & Mingzhu Cao & Zhaoyang Yu & Enrong Mao, 2021. "Characteristics of Agricultural Dust Emissions from Harvesting Operations: Case Study of a Whole-Feed Peanut Combine," Agriculture, MDPI, vol. 11(11), pages 1-14, October.
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    Cited by:

    1. Hongbo Li & Lewei Chen & Zongyi Zhang, 2022. "A Study on the Utilization Rate and Influencing Factors of Small Agricultural Machinery: Evidence from 10 Hilly and Mountainous Provinces in China," Agriculture, MDPI, vol. 13(1), pages 1-25, December.
    2. Šimun Lončarević & Petar Ilinčić & Goran Šagi & Zoran Lulić, 2023. "Development of a Spatial Tier 2 Emission Inventory for Agricultural Tractors by Combining Two Large-Scale Datasets," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    3. Hongbo Xu & Peng Zhang & Fengwei Gu & Zhichao Hu & Hongguang Yang & Enrong Mao & Yuefeng Du, 2023. "Numerical Simulation and Experiment of Dust Suppression Device of Peanut Whole-Feed Combine Using Computational Fluid Dynamics," Agriculture, MDPI, vol. 13(2), pages 1-13, January.
    4. Šimun Lončarević & Petar Ilinčić & Zoran Lulić & Darko Kozarac, 2022. "Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large-Scale Survey Data," Agriculture, MDPI, vol. 12(11), pages 1-18, November.

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