"Application of steel slag and activated carbon in multi-substrate sequ" by Lucia David Dizon, Jonathan Brosas Manalo et al.

Date of Publication

8-2024

Document Type

Dissertation/Thesis

Degree Name

Bachelor of Science in Chemical Engineering

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Thesis Advisor

Dr. Aileen H. Orbecido

Defense Panel Chair

Dr. Angelo Earvin Sy Choi

Defense Panel Member

Dr. Allan N. Soriano

Dr. Vergel C. Bungay

Abstract/Summary

Extensive mining activity has led to acid mine drainage (AMD) formation in several mining sites, causing the discharge of acidic water containing various heavy metals and sulfates into nearby soil and water sources when left untreated. The present study aimed to assess the synergistic capability of limestone (LS), steel slag (SS), and activated carbon (AC) in sequential AMD treatment and proposes a process train from the most effective sequence in alignment with Philippine general effluent standards. The three media were characterized via X-ray fluorescence (XRF) spectroscopy and X-ray diffraction (XRD). Six full factorial runs of sequential batch treatment of AMD was conducted. Parameters including pH, oxidation- reduction potential, dissolved oxygen, electrical conductivity, heavy metals (Fe, Mn, and Cu), and sulfates were measured pre-treatment and after a twenty-minute contact time with each treatment medium across all sequences. The XRF analysis detected Ca in all treatment media, with the highest concentrations seen in LS and AC. However, high Fe content in SS posed a potential leaching risk during treatment. XRD analysis of the mineralogical makeup of the treatment media further confirmed CaCO3 content in LS in the form of calcite. Crystalline phases of iron, hematite and magnetite, were also detected in SS. Broad peaks in the diffraction spectra for AC validated its amorphous nature, to which its adsorption properties may be attributed. Analysis of initial and post-treatment parameters showed that sequence 4 (LS-AC-SS) yielded the highest percent removal for heavy metals (Fe=98.78%, Mn=80.86%, and Cu=89.02%) and sequence 6 (SS-LS-AC) for sulfates (14.96%). Meanwhile, parameter data normalization based on local effluent standards showed that sequence 5 (AC-SS-LS) achieved the overall best treatment performance among the six sequences, making it the most effective process train.

Abstract Format

html

Language

English

Upload Full Text

wf_yes

Embargo Period

12-2-2024

Share

COinS