Groundwater flow, multicomponent transport and biogeochemistry: development and application of a coupled process model

Chilakapati, Ashokkumar; Yabusaki, Steven B.; Szecsody, James E.; Macevoy, Warren Jr

doi:10.1016/s0169-7722(99)00107-2

Cited by 38 publications

(16 citation statements)

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“…Combining these phenomena leads to a coupled reactive transport model. Some articles about modelling reactive flow and transport in porous media are Agosti et al (2015), Chilakapati et al (2000), Radu et al (2013), Radu and Pop (2010), ; Samper and Zhang (2006), van Noorden (2009), van Noorden et al (2010, Yang et al (2008), of which Agosti et al (2015), Radu et al (2013), van Noorden (2009) also consider a variable porosity. In van Noorden (2009), the level set function is used for the boundary of the crystals and a homogenization procedure is applied to obtain the upscaled equations.…”

Section: Introductionmentioning

confidence: 99%

A Reactive Transport Model for Biogrout Compared to Experimental Data

et al. 2015

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Biogrout is a method for reinforcement of granular soil. In the Biogrout process, calcium carbonate is produced. This solid connects the grains, and therefore the strength of the soil is increased. The calcium carbonate is formed with the use of micro-organisms. Experiments and numerical simulations have been performed to demonstrate the process under various conditions. In this paper, it has been examined whether a reactive transport model can be used to describe a Biogrout experiment that was performed in a column with a length of 5 m. Four different models for the course of the reaction rate are considered. The concentration of micro-organisms and the reaction rate are fine-tuned in order to find a description of the experiment that is a best fit for the particular model. This is done by minimizing the error between the experimental and numerical results for the concentration of calcium carbonate and the by-product of the reaction. List of symbolsInjected concentration of micro-organisms (normalized) (1) S bac Ratio of micro-organisms that is fixated (with respect to the injected concentration) (1)

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Section: Introductionmentioning

confidence: 99%

A Reactive Transport Model for Biogrout Compared to Experimental Data

et al. 2015

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“…Although a range of numerical schemes exists [e.g., 25,110,117,142,143], the need to combine models and simulate a large number of species under a variety of circumstances leads to the conclusion that SO algorithms are the most appropriate method to solve this challenging class of problems. Indeed, with few exceptions [e.g., 144], the SO technique [e.g., 16,25,106,117,[145][146][147][148][149][150][151][152][153][154][155] has become the standard method for solving such combined physico-biogeochemical problems. The technique involves separating the processes (e.g., flow, transport of individual chemical components/species, chemical reactions, microbial activity) within the numerical model and solving each sub-model independently.…”

Section: Solution Algorithmsmentioning

confidence: 99%

Modelling the fate of oxidisable organic contaminants in groundwater

Barry

Prommer

Miller

et al. 2002

Advances in Water Resources

168

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Contamination by organic chemicals is a pervasive environmental problem, susceptible to remediation by natural or enhanced attenuation approaches or more highly engineered methods such as pump-and-treat, amongst others. Such remediation approaches, along with risk assessment or the pressing need to address complex scientific questions, have driven the development of integrated modelling tools that incorporate physical, biological and geochemical processes.We provide a comprehensive modelling framework, including geochemical reactions and interphase mass transfer processes such as sorption/desorption, NAPL dissolution and mineral precipitatation/dissolution, all of which can be in equilibrium or kinetically controlled. This framework is used to simulate microbially Preprint submitted to Elsevier Preprint 3 June 2002 mediated transformation/degradation processes and the attendant microbial population growth and decay. Solution algorithms, particularly the split-operator (SO) approach, are described, along with a brief résumé of numerical solution methods. Some of the available numerical models are described, mainly those constructed using available flow, transport and geochemical reaction packages. The general modelling framework is illustrated by pertinent examples, showing the degradation of dissolved organics by microbial activity limited by the availability of nutrients or electron acceptors (i.e., changing redox states), as well as concomitant secondary reactions. Two field-scale modelling examples are discussed, the Vejen landfill (Denmark) and an example where metal contamination is remediated by redox changes wrought by injection of a dissolved organic compound. A summary is provided of current and likely future challenges to modelling of oxidisable organics in the subsurface.

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“…Numerical models have been increasingly used for this purpose, a trend that will continue because more sophisticated models and codes are being developed and computer costs keep decreasing. Significant efforts and attempts have been made during recent years toward the development of such tools (Kirkner et al, 1985;Kaluarachchi and Parker, 1990;Steefel and Van Cappellen, 1990;Lensing et al, 1994;Salvage and Yeh, 1998;Ayora et al, 1998;Steefel and Lichtner, 1998;Tebes-Stevens et al, 1998;Yabusaki et al, 1998;Chilakapati et al, 2000;Saaltink et al, 2000;Xu et al, 2000;Yeh, 2000;Ginn et al, 2001;Regnier et al, 2002;Saaltink et al, 2003;Pruess et al, 2004;Maher et al, 2006;Yang, 2006;Yang et al, 2007;Yang et al, 2008a,b). A recent review on reactive transport modelling is presented by Steefel et al(2005).…”

Section: Introductionmentioning

confidence: 99%