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基于生物动力学系数的全混合活性污泥工艺中静磁场应用的最佳位置。

The best location for the application of static magnetic fields based on biokinetic coefficients in complete-mix activated sludge process.

机构信息

Social Determinants of Health Research Center (SDHRC), Faculty of Public Health, Department of Environmental Health Engineering, Hamadan University of Medical Sciences, Hamadan, Iran.

Department of Environmental Health Engineering, School of Public Health, Research Centre for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.

出版信息

Sci Rep. 2023 Mar 29;13(1):5091. doi: 10.1038/s41598-023-32285-1.

Abstract

The use of the kinetic coefficients for the mathematical expression of the biochemical processes and the relationship between the effective parameters is importance. Change of the biokinetic coefficients in the complete-mix activated sludge processes were calculated for 1 month operation of the activated sludge model (ASM) in a Lab-scale in three series. 15 mT intensity of static magnetic fields (SMFs) applied on the aeration reactor (ASM 1), clarifier reactor (ASM 2) and, sludge returning systems (ASM 3) for 1 h, daily. During the operation of the systems, five basic biokinetic coefficients such as maximum specific substrate utilization rate (k), heterotrophic half-saturation substrate concentration (K), decay coefficient (k), yield coefficient (Y) and, maximum specific microbial growth rate (μ) were determined. The rate of k (g COD/g Cells.d) in ASM 1 was 2.69% and, 22.79% higher than ASM 2 and, ASM 3. The value of K (mg COD/L) was 54.44 and, 71.13 (mg/L) lower than the ASM 2 and, ASM 3. The rate of k ASM 1, ASM 2 and, ASM 3 was 0.070, 0.054 and, 0.516 (d). The value of Y (kg VSS/kg COD) in ASM 1 was 0.58% and, 0.48% lower than ASM 2 and, ASM 3. The rate of μ (d) in ASM 1 was 0.197, this value for ASM 2 and ASM 3 were 0.324 and 0.309 (d). Related to the biokinetic coefficients analyses the best location for the application of 15 mT SMFs was the aeration reactor, where the present of oxygen, substrate and, SMFs have the greatest impact on the positive changes of these coefficients.

摘要

在生化过程的数学表达中使用动力系数以及有效参数之间的关系非常重要。在三个系列中,对实验室规模的活性污泥模型(ASM)进行了 1 个月的运行,计算了完全混合活性污泥工艺中生物动力学系数的变化。在曝气池(ASM1)、澄清池(ASM2)和污泥回流系统(ASM3)中每天施加 15mT 强度的静态磁场(SMFs)1 小时。在系统运行期间,确定了五个基本生物动力学系数,如最大比基质利用速率(k)、异养半饱和基质浓度(K)、衰减系数(k)、产率系数(Y)和最大比微生物生长速率(μ)。ASM1 中的 k 速率(g COD/g Cells.d)比 ASM2 和 ASM3 分别高 2.69%和 22.79%。K 值(mg COD/L)分别比 ASM2 和 ASM3 低 54.44 和 71.13(mg/L)。ASM1、ASM2 和 ASM3 的 k 值分别为 0.070、0.054 和 0.516(d)。ASM1 中的 Y 值(kg VSS/kg COD)比 ASM2 和 ASM3 分别低 0.58%和 0.48%。ASM1 中的 μ 速率(d)为 0.197,ASM2 和 ASM3 的 μ 速率分别为 0.324 和 0.309(d)。通过对生物动力学系数的分析,15mT SMFs 的最佳应用位置是曝气池,在那里氧气、基质和 SMFs 的存在对这些系数的正向变化影响最大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1639/10060213/427bde022f27/41598_2023_32285_Fig1_HTML.jpg

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