EFFECT OF MICROBIAL GROWTH ON PERMEABILITY OF POROUS MEDIA BASED ON MULTI-SCALE METHOD
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摘要: 建立了孔隙尺度微生物生长与REV尺度多孔介质渗透率衰减的耦合算法,分析了微生物生长对多孔介质渗透率衰减的影响规律,为有效控制地下水回灌过程中的微生物堵塞提供了理论依据。多尺度耦合模型的孔隙尺度部分采用LBM-IBM耦合模型模拟多孔介质中流场,CA模型描述微生物生长。宏观尺度部分采用通用渗流模型描述流体在多孔介质内的流动。结果表明:由于流体和营养物的优先渗流性,微生物生长在空间上呈明显的非均匀性。多孔介质进口处微生物生长最快,远离进口的多孔介质骨架上微生物生长量与上下游位置关系不大,而与优势流直接相关。将不同营养物进口浓度工况下的局部当量孔隙率动态变化曲线用于REV计算,发现REV尺度的营养物进口浓度每增加1倍,多孔介质开始发生堵塞的时间可缩短18.0%~30.7%。Abstract: In this paper, a coupling algorithm of microbial growth at pore scale and reduction of permeability at REV-scale was proposed, to analyze the effect law of microbial growth on the reduction of permeability, in order to provide a theoretical basis for effective controlling of microbial clogging in groundwater recharge. About the multi-scale coupled model: in pore-scale, the LBM-IBM coupled model were used to simulate the flow field in porous media, and the CA model was used to simulate microbial growth. A generalized seepage model was used to describe the fluid flow in the porous medium at the macroscopic scale. This study found that heterogeneity in microbial growth was significant in space due to preferential seepage of water and nutrients. The growth rate of microorganisms was the fastest at the inlet of the porous medium. The growth of microorganisms on the porous medium skeleton far from the inlet had little relationship with the upstream and downstream positions, but was directly related to the dominant flow. The dynamic change curve of local equivalent porosity with the different inlet concentrations of nutrients was used in REV calculations. In the results, the clogging in porous media occurs earlier by 18.0% to 30.7%, when the inlet concentration of nutrients doubles.
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[1] 陈玺君, 郭照立. 表征体元尺度渗流的离散统一动理学格式[J]. 计算物理, 2019,36(4):386-394. [9] HOMMEL J, COLTMAN E, CLASS H. Porosity-permeability relations for evolving pore space: a review with a focus on (bio-)geochemically altered porous media[J]. Transport in Porous Media, 2018, 124(2):589-629. [10] NITHIARASU P, SEETHARAMU K N, SUNDARARAJAN T. Natural convective heat transfer in a fluid saturated variable porosity medium[J]. International Journal of Heat and Mass Transfer, 1997, 40(16):3955-3967. [11] 蔡宏敏.热流的离散统一气体动理学算法及数值模拟[D].杭州:杭州电子科技大学,2021. [12] VANDEVIVERE P, BAVEYE P.Sturated hydraulic conductivity reduction caused by aerobic-bacteria in sand columns[J].Applied and Environmental Microbiology, 1992,58(8): 2523-2530. [13] PICIOREANU C, LOOSDRECHT M C M V, HEIJNEN J J. Effect of diffusive and convective substrate transport on biofilm structure formation: a two-dimensional modeling study[J]. Biotechnology & Bioengineering, 2000, 69(5):504-515.KNIG S, VOGEL H J, HARMS H, et al. Physical, chemical and biological effects on soil bacterial dynamics in microscale models[J]. Frontiers in Ecology and Evolution, 2020, 3(8):53-62.[2] ZHAO T Y, ZHAO H W, NING Z F, et al. Permeability prediction of numerical reconstructed multiscale tight porous media using the representative elementary volume scale lattice Boltzmann method[J]. International Journal of Heat and Mass Transfer, 2018, 118(mar.):368-377. [3] JUNG H, MEILE C.Pore-Scale numerical investigation of evolving porosity and permeability driven by biofilm growth[J].Transport In Porous Media, 2021(139):203-221. [4] BOTTERO S, STORCK T, HEIMOVAARA T J, et al. Biofilm development and the dynamics of preferential flow paths in porous media.[J]. Biofouling, 2013, 29(9/10):1069-1086. [5] TANG Y N, VALOCCHI A J, WERTH C J, et al. An improved pore-scale biofilm model and comparison with a microfluidic flow cell experiment[J]. Water Resources Research, 2013, 49(12):8370-8382. [6] DELAVAR M A, WANG J Y. Numerical investigation of pH control on dark fermentation and hydrogen production in a microbioreactor[J]. Fuel, 2021, 292(May 15):120355. [7] M, BENIOUG, F, et al. An immersed boundary-lattice Boltzmann model for biofilm growth in porous media-ScienceDirect[J]. Advances in Water Resources, 2017,107:65-82. [8]
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