This study has implemented an experiment in which hydrogen sulfide was removed by establishing a two-stage packed tower effector filled with nutritious medium and also filling a tower that was immobilized in ceramic media after isolating and identifying the sulfur oxidizing bacteria from a sewage treatment plant. As a result, strains isolated from the sewage treatment plant were found to be similar, including Bacillus fusiformis, Bacillus anthracis sp., Paenibacillus sp., Serratia marcescens sp., Bacillus thuringiensis. The effector that immobilized isolated strains in the ceramic media achieved an approximately 90% removal rate of hydrogen sulfide, while the sterilized ceramic media not immobilized with isolated strains showed a removal rate of about 65%. In addition, the removal rate of hydrogen sulfide in the primary media packing effector immobilized with sulfur oxidizing bacteria was about 92%, while the secondary effector filled with medium had a hydrogen sulfide removal rate near 100%. In addition, 90% efficiency of removal was shown in conditions of EBCT 60s in the experiment that investigated removal rate of hydrogen sulfide according to residence-time, while the efficiency was rapidly reduced up to 45% in conditions of EBCT 30s. On the other hand, when operating for an extended period time while increasing the concentration of injected hydrogen sulfide, the amount of sulfate was increased from 2 mg/L to 12.7 mg/L, and pH was rapidly reduced to 2.7.

This study has implemented an experiment in which hydrogen sulfide was removed by establishing a two-stage packed tower effector filled with nutritious medium and also filling a tower that was immobilized in ceramic media after isolating and identifying the sulfur oxidizing bacteria from a sewage treatment plant. As a result, strains isolated from the sewage treatment plant were found to be similar, including Bacillus fusiformis, Bacillus anthracis sp., Paenibacillus sp., Serratia marcescens sp., Bacillus thuringiensis. The effector that immobilized isolated strains in the ceramic media achieved an approximately 90% removal rate of hydrogen sulfide, while the sterilized ceramic media not immobilized with isolated strains showed a removal rate of about 65%. In addition, the removal rate of hydrogen sulfide in the primary media packing effector immobilized with sulfur oxidizing bacteria was about 92%, while the secondary effector filled with medium had a hydrogen sulfide removal rate near 100%. In addition, 90% efficiency of removal was shown in conditions of EBCT 60s in the experiment that investigated removal rate of hydrogen sulfide according to residence-time, while the efficiency was rapidly reduced up to 45% in conditions of EBCT 30s. On the other hand, when operating for an extended period time while increasing the concentration of injected hydrogen sulfide, the amount of sulfate was increased from 2 mg/L to 12.7 mg/L, and pH was rapidly reduced to 2.7.

In this study, the growth kinetics of sulfur oxidizing bacteria, Acidithiobacillus thiooxidans, and the effect of dissolved oxygen were determined in low pH conditions for the effective removal of high concentrations of hydrogen sulfide. A dual growth kinetic was applied to identify the microbial growth rate at different hydrogen sulfide and oxygen concentrations in the liquid. A modified Monod-Gompertz equation was deemed most appropriate to examine the growth kinetic parameters of A. thiooxidans. The half saturation constants of hydrogen sulfide and oxygen for the modified Monod-Gompertz equation were found to be 0.9 and 1.1 mg/L, respectively. In addition, a bioreactor model, where the Monod-Gompertz equation was modified, was applied to simulate dissolved oxygen concentrations required for the removal of hydrogen sulfide. As a result, the dissolved oxygen concentrations were 0.5, 1.0, 1.5, and 3.3 mg/L, which were necessary to remove hydrogen sulfide to less than 10 ppm at the influent concentrations of 100, 500, 1000 and 3000 ppm, respectively. The required minimum dissolved oxygen concentrations under various conditions including reactor volume, gas retention time, and microbial concentrations can be determined using the numerical model developed in this study.