IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5617-d809044.html
   My bibliography  Save this article

Comprehensive Chemical Dust Suppressant Performance Evaluation and Optimization Method

Author

Listed:
  • Ming Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Rujia Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Gang Li

    (Sinosteel Maanshan Mining Research Institute Co., Ltd., Maanshan 243000, China)

  • Xinzhu Song

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Huaizhen Yang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Huinan Lai

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Chemical dust suppression is an effective dust control technology. A dust suppressant component evaluation method that facilitates a complete selection of safe, efficient, and economical chemical materials has not been explored. Considering dust suppression performance, environmental safety, and cost-effectiveness of chemical dust suppressant technology, this study constructs a comprehensive evaluation index system of chemical dust suppressant performance, including the wetting performance, hygroscopic performance, bonding performance, annual cost per unit area, pH value of dust suppression solution, chemical toxicity, and chemical corrosion. Among them, the index characterizing the wetting performance of the solution is the sedimentation wetting time, which is determined by the dust sedimentation experiment; the index characterizing the hygroscopic performance of the solution is the evaporation stability time, which is determined by the evaporation experiment of the solution on the dust surface; the index to characterize the bonding performance of the solution is the surface wind erosion rate, which is determined by the wind erosion experiment of the solution on the dust surface; the toxicity of the solution is evaluated by the LD50 of the solution; the index to characterize the corrosion performance of the solution is the Q235 monthly steel corrosion rate, which is determined by the Q235 steel corrosion test. Corresponding evaluation parameters are determined including sedimentation wetting time, evaporation stabilization time, surface wind erosion rate; annual average use cost per unit area; solution pH value, chemical acute toxicity classification, monthly corrosion rate of Q235 steel, and corresponding standard test methods are also provided. In order to evaluate the comparability of the results, according to the specific requirements of the evaluation index system and the distribution characteristics of the measurement data, the data of each evaluation and detection index are standardized by linear transformation, range transformation and other methods, so that the obtained results are comparable. Considering the differences in the actual performance requirements of dust suppressants in different usage scenarios, the weights of evaluation indicators at all levels can be set independently and flexible. The experimental test data obtained through the example shows that: among the four chemicals selected to participate in the experiment, the comprehensive dust suppression performance score of Triton X-100 solution is in the poor-grade category. The comprehensive dust suppression performances of calcium chloride solution, water, and polyacrylamide solution scored high in the average-grade category. The comprehensive evaluation process is logically correct, and the results are consistent with the phenomena observed in the experiment, consistent with conventional understanding, and have strong credibility. This method can provide a standardized evaluation technique and test process for the comprehensive performance evaluation and comparison of chemical materials and dust suppressants.

Suggested Citation

  • Ming Li & Rujia Wang & Gang Li & Xinzhu Song & Huaizhen Yang & Huinan Lai, 2022. "Comprehensive Chemical Dust Suppressant Performance Evaluation and Optimization Method," IJERPH, MDPI, vol. 19(9), pages 1-14, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5617-:d:809044
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5617/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/9/5617/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samantha Iyaloo & Tahira Kootbodien & Nisha Naicker & Spo Kgalamono & Kerry S. Wilson & David Rees, 2020. "Respiratory Health in a Community Living in Close Proximity to Gold Mine Waste Dumps, Johannesburg, South Africa," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    2. Yuanni Huang & Mian Bao & Jiefeng Xiao & Zhaolong Qiu & Kusheng Wu, 2019. "Effects of PM 2.5 on Cardio-Pulmonary Function Injury in Open Manganese Mine Workers," IJERPH, MDPI, vol. 16(11), pages 1-10, June.
    3. Dongyue Li & Yilan Liao, 2018. "Spatial Characteristics of Heavy Metals in Street Dust of Coal Railway Transportation Hubs: A Case Study in Yuanping, China," IJERPH, MDPI, vol. 15(12), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ming Li & Xinzhu Song & Gang Li & Jiao Tang & Zhi Li, 2022. "Experimental Study on Dust Suppression Effect and Performance of New Nano-Composite Dust Suppressant," IJERPH, MDPI, vol. 19(10), pages 1-9, May.

    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. Boyu Luan & Wei Zhou & Izhar Mithal Jiskani & Zhiming Wang, 2023. "An Improved Machine Learning Approach for Optimizing Dust Concentration Estimation in Open-Pit Mines," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
    2. Yi Wang & Hongchu Wang & Yinru Chen & Naxin Xu & Winson Lee & Wing-Kai Lam, 2022. "Pulmonary Capacity, Blood Composition and Metabolism among Coal Mine Workers in High- and Low-Altitude Aboveground and Underground Workplaces," IJERPH, MDPI, vol. 19(14), pages 1-10, July.
    3. Ting Sun & Jingling Huang & Yuying Wu & Yuan Yuan & Yujing Xie & Zhengqiu Fan & Zhijian Zheng, 2020. "Risk Assessment and Source Apportionment of Soil Heavy Metals under Different Land Use in a Typical Estuary Alluvial Island," IJERPH, MDPI, vol. 17(13), pages 1-20, July.
    4. Zhen Wang & Jianqiang Zhang & Izumi Watanabe, 2022. "Source Apportionment and Risk Assessment of Soil Heavy Metals due to Railroad Activity Using a Positive Matrix Factorization Approach," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

    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:jijerp:v:19:y:2022:i:9:p:5617-:d:809044. 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.