CAJ | 학술논문

建立了反硝化滤池中试系统,在滤速8m/h,进水C/N分别为4和5两种工况条件下运行,考察其反硝化处理效果,结果表明在进水C/N=5条件下,出水TN浓度由14.52mg/L下降为7.14mg/L.应用BioWin软件,构建了反硝化滤池中试系统的模型,基于滤速8m/h,进水C/N=5条件下的运行数据,应用常规灵敏度分析法(Si,j)和均方根灵敏度分析法( msqrjδ),对 BioWin 软件中的412个参数进行了灵敏度分析,结果表明,对反硝化滤池中试系统模拟结果影响最为显著的两类参数为：与甲基营养菌有关的计量学参数及与生物膜有关的参数.根据灵敏度分析结果,选取5个灵敏度最高的参数,通过调整参数值对所构建的反硝化滤池模型进行了校正,应用于滤速8m/h,进水C/N=5条件下的运行模拟取得了较好的效果.最后应用校正模型对滤速8m/h,进水C/N=4条件下的运行结果进行模拟,结果表明模拟值与实测值同样能够较好地吻合.由此得出结论,本研究所构建的反硝化滤池中试系统模型及基于灵敏度分析的模型校正方法是有效的,可用于实际反硝化滤池工艺的模拟.
건립료반초화려지중시계통,재려속8m/h,진수C/N분별위4화5량충공황조건하운행,고찰기반초화처리효과,결과표명재진수C/N=5조건하,출수TN농도유14.52mg/L하강위7.14mg/L.응용BioWin연건,구건료반초화려지중시계통적모형,기우려속8m/h,진수C/N=5조건하적운행수거,응용상규령민도분석법(Si,j)화균방근령민도분석법( msqrjδ),대 BioWin 연건중적412개삼수진행료령민도분석,결과표명,대반초화려지중시계통모의결과영향최위현저적량류삼수위：여갑기영양균유관적계량학삼수급여생물막유관적삼수.근거령민도분석결과,선취5개령민도최고적삼수,통과조정삼수치대소구건적반초화려지모형진행료교정,응용우려속8m/h,진수C/N=5조건하적운행모의취득료교호적효과.최후응용교정모형대려속8m/h,진수C/N=4조건하적운행결과진행모의,결과표명모의치여실측치동양능구교호지문합.유차득출결론,본연구소구건적반초화려지중시계통모형급기우령민도분석적모형교정방법시유효적,가용우실제반초화려지공예적모의.
A pilot-scale DNBF was built and operated under two different conditions, filtration velocity was 8m/h, C/N of influent was 4 and 5 respectively by adding methanol as external carbon source to study its denitrification performance. The results of experiments show that the concentration of effluent TN decreased from 14.52mg/L to 7.14mg/L under the condition of influent C/N=5. BioWin software was used to simulate the pilot-scale DNBF, based on the operation data of filtration velocity of 8m/h and influent C/N of 5, normalized sensitivity coefficient measure (Si,j) and mean square sensitivity measure ( msqrδ ) were used to conduct sensitivity analysis for the 412 parameters of BioWin software. The sensitivity analysis results indicated that the most sensitive parameters were the stoichiometric parameters related to methylotrophs and the parameters related to biofilm. According to the sensitivity analysis results, five most sensitive parameters were selected for model calibration by adjusting their values to obtain proper simulation of the operating condition of filtration velocity at 8m/h and influent C/N of 5. The operating condition of filtration velocity of 8m/h and influent C/N of 4 was simulated using the calibrated model for model validation after model calibration. The results of experiments and simulations showed that the presented model of pilot-scale DNBF and the model calibration protocol of this study could be used for the simulations of practical DNBFs.