A prediction model for suspended solids based on turbidity in coal mine water

Song Du; Yafeng Shi; Hui Chen; Sitong Song; Yinglin Fan; Jie Zhao

doi:10.1117/12.3004385

25 September 2023 A prediction model for suspended solids based on turbidity in coal mine water

Song Du, Yafeng Shi, Hui Chen, Sitong Song, Yinglin Fan, Jie Zhao

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127880U (2023) https://doi.org/10.1117/12.3004385
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The study aims to establish a model formula for the correlation between turbidity and suspended solids (SS) in coal mine water (CMW) with different concentration gradients. The formula's accuracy is then verified by testing five actual samples. The study obtained two conversion formulas for turbidity and SS, depending on the suspended matter content. The correlation curve between turbidity and SS is y=0.9336x-3.1393, R2=0.9986 when the suspended matter content is 0-200mg/L. When the suspended matter content is 200-600mg/L, the correlation curve between turbidity and SS is y=0.5314x+94.421, R2=0.9905. The study also compared the measured values of SS in other coal mines with the calculated values obtained from the formula and carried out an error analysis. The error between the measured values and calculated values is controlled within 4% when the suspended matter content is less than 200mg/L and within 5% when the suspended matter content is between 200-600mg/L. Considering the unavoidable error factors, the model formula can be helpful to the efficiently detect SS in actual CMW. The study is crucial as it provides an accurate and efficient method to determine the concentration of SS in CMW, which is essential for effective wastewater treatment and environmental protection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Song Du, Yafeng Shi, Hui Chen, Sitong Song, Yinglin Fan, and Jie Zhao "A prediction model for suspended solids based on turbidity in coal mine water", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127880U (25 September 2023); https://doi.org/10.1117/12.3004385

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KEYWORDS

Turbidity

Mining

Solids

Water

Standards development

Particles

Solid modeling

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