Optimization and field application of an eco-friendly molasses-based dust suppressant for open-pit coal mine haul roads.

To overcome the limitations of conventional water-based dust suppression in arid, high-temperature open-pit coal mine haul roads, this study developed an innovative molasses-based dust suppressant with enhanced water retention and consolidation capabilities. The formulation leverages molasses-a sugar industry byproduct with inherent anti-evaporation properties-as its core component, supplemented with surfactant (sodium dodecyl benzene sulfonate, SDBS), humectant (glycerol), and hygroscopic (calcium chloride, CaCl₂) additives. Employing response surface methodology (RSM), the optimal composition was determined to be: 31.

Sustainable triethylenetetramine modified sulfonated graphene oxide/chitosan composite for enhanced adsorption of Pb(II), Cd(II), and Ni(II) ions.

A novel sulfonated group and triethylenetetramine modified GO/chitosan (GO-CS) adsorbent (T-SGO-CS) was successfully prepared and utilized for the adsorption of heavy metal ions from single-metal, binary-metal, and ternary-metal solutions. In a single system, the adsorption capacity was 312.28 mg/g for Pb, 260.

A novel approach to forecast dust concentration in open pit mines by integrating meteorological parameters and production intensity.

Mine dust pollution poses a hindrance to achieving green and climate-smart mining. This paper uses weather forecast data and mine production intensity data as model inputs to develop a novel model for forecasting daily dust concentration values in open pit mines by employing and integrating multiple machine learning techniques. The results show that the forecast model exhibits high accuracy, with a Pearson correlation coefficient exceeding 0.