Characterization of Red Sand Dust Pollution Control Performance via Static and Dynamic Laboratorial Experiments when Applying Polymer Stabilizers


Red sand dust pollution is of great concern for its occupational and environmental detriments. The current remediation technique includes water spray and non-traditional stabilization via the application of polymer stabilizers. The dust erosion resistance plays a significant role in quantifying the effectiveness of red sand dust suppression. The aim of this paper is to evaluate the reliability and accuracy of five static and dynamic laboratorial methods that are commonly utilized to quantify the dust erosion resistance in the presence of polymers in previous studies, which are wind tunnel simulation, dynamic viscosity test, crust thickness test, penetration resistance test, and unconfined compressive strength test. The advantages and shortcomings of these methods were comprehensively demonstrated. The results illustrated that the penetration resistance test is the most reliable method in terms of the highest accuracy and relatively simpler operation. It also reveals excellent universality for effectively quantifying the dust erosion resistance of red sand with different particle sizes and for different polymers with various concentrations, while the rest of the methods failed to identify. The application of polymers contributes to improved dust erosion resistance for longer crust failure time, higher solution dynamic viscosity and crust penetration resistance, and higher unconfined compressive strength of rending sand samples. PAM outperformed guar gum and xanthan gum on the base of polymer ionicity and molecular weight. This study offers a better understanding in guiding the selection of optimum evaluation methods and polymers for the study of bauxite residue dust control.


Mining Engineering


This project is supported by the Innovation Capability Support Program of Shaanxi (Program No. 2020TD-021).

Keywords and Phrases

Crust failure time; Dust erosion resistance; Dynamic viscosity; Mechanical property; Polymer; Wind tunnel simulation

International Standard Serial Number (ISSN)

1614-7499; 0944-1344

Document Type

Article - Journal

Document Version


File Type





© 2021 Springer, All rights reserved.

Publication Date

01 Jul 2021

PubMed ID