Mathematical modeling and simulation of methane gas production in simulated landfill column reactors under sulfidogenic and methanogenic environments

Pareek, Sandeep; Matsui, Saburo; Kim, Seog Ku; Shimizu, Yoshiaki

doi:10.2166/wst.1999.0364

Cited by 10 publications

(6 citation statements)

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“…This classification is used to distinguish them from pure aquatic ecosystems and considering the important role of wetlands in CH 4 cycling. Therefore, models for understanding reactions in bioreactors (Bhadra et al, 1984;Pareek et al, 1999), mining plots (De Visscher and Van Cleemput, 2003), aquatic ecosystems, and marine systems (Elliott et al, 2011) were excluded. An early pioneering effort of multiplying wetland area by average CH 4 flux to estimate global CH 4 budget was excluded from this review as well (Matthews and Fungi, 1987).…”

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confidence: 99%

Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems

et al. 2016

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Abstract. Over the past 4 decades, a number of numerical models have been developed to quantify the magnitude, investigate the spatial and temporal variations, and understand the underlying mechanisms and environmental controls of methane (CH 4 ) fluxes within terrestrial ecosystems. These CH 4 models are also used for integrating multi-scale CH 4 data, such as laboratory-based incubation and molecular analysis, field observational experiments, remote sensing, and aircraft-based measurements across a variety of terrestrial ecosystems. Here we summarize 40 terrestrial CH 4 models to characterize their strengths and weaknesses and to suggest a roadmap for future model improvement and application. Our key findings are that (1) the focus of CH 4 models has shifted from theoretical to site-and regional-level applications over the past 4 decades, (2) large discrepancies exist among models in terms of representing CH 4 processes and their environmental controls, and (3) significant datamodel and model-model mismatches are partially attributed to different representations of landscape characterization and inundation dynamics. Three areas for future improvements and applications of terrestrial CH 4 models are that (1) CH 4 models should more explicitly represent the mechanisms underlying land-atmosphere CH 4 exchange, with an emphasis on improving and validating individual CH 4 processes over depth and horizontal space, (2) models should be developed that are capable of simulating CH 4 emissions across highly heterogeneous spatial and temporal scales, particularly hot moments and hotspots, and (3) efforts should be invested to develop model benchmarking frameworks that can easily be used for model improvement, evaluation, and integration with data from molecular to global scales. These improvements in CH 4 models would be beneficial for the Earth system models and further simulation of climate-carbon cycle feedbacks.

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confidence: 99%

Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems

et al. 2016

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“…Equations can be completely closed adding the boundary conditions (initial conditions and boundary conditions) for special problems [6,7] . …”

Section: Model Of Landfill Gas Penetration and Diffusionmentioning

confidence: 99%

Numerical Early Warning Model Research of Landfill Gas Permeation and Diffusion Considering Flow-Temperature Coupling

Xue

Feng

et al. 2009

2009 International Conference on Energy and Environment Technology

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Based on seepage mechanics in porous medium gas and heat transfer theory, numerical early warning model is established, which is on quantitative description of migration and release of landfill gas and penetration and diffusion of energy, and dynamic migration of landfill gas is also analyzed quantitatively. The results show that the gas pressure improved as the depth increased, and internal gas pressure in landfill maintained at 1~3Kpa.The heat generated by the degradation of landfill gas is released, and its distribution range is between 10m and 15m, and it is also effected by biodegradation of waste and distribution of gas. The temperature is changed dramatically at the middle of landfill, which is in accordance with distribution law of gas pressure and temperature in the field monitoring. The numerical results which are reliable and practical are verified. It can provide technical support on the control of potential environmental pollution caused by landfill gas, the design of landfill gas collection system and development of gas resource.

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“…This classification is used to distinguish them from pure aquatic ecosystems and considering the important role of wetlands in CH 4 cycling. Therefore, models for understanding reactions in bioreactors (Bhadra et al, 1984;Pareek et al, 1999), mining plots (De Visscher and Van Cleemput, 2003), aquatic ecosys-tems, and marine systems (Elliott et al, 2011) were excluded. An early pioneering effort of multiplying wetland area by average CH 4 flux to estimate global CH 4 budget was excluded from this review as well (Matthews and Fungi, 1987).…”

Section: Introductionmentioning

confidence: 99%

Responses to reviewer #2

Xu¹

2016

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Over the past 4 decades, a number of numerical models have been developed to quantify the magnitude, investigate the spatial and temporal variations, and understand the underlying mechanisms and environmental controls of methane (CH 4) fluxes within terrestrial ecosystems. These CH 4 models are also used for integrating multi-scale CH 4 data, such as laboratory-based incubation and molecular analysis, field observational experiments, remote sensing, and aircraft-based measurements across a variety of terrestrial ecosystems. Here we summarize 40 terrestrial CH 4 models to characterize their strengths and weaknesses and to suggest a roadmap for future model improvement and application. Our key findings are that (1) the focus of CH 4 models has shifted from theoretical to site-and regional-level applications over the past 4 decades, (2) large discrepancies exist among models in terms of representing CH 4 processes and their environmental controls, and (3) significant datamodel and model-model mismatches are partially attributed to different representations of landscape characterization and inundation dynamics. Three areas for future improvements and applications of terrestrial CH 4 models are that (1) CH 4 models should more explicitly represent the mechanisms underlying land-atmosphere CH 4 exchange, with an emphasis on improving and validating individual CH 4 processes over depth and horizontal space, (2) models should be developed that are capable of simulating CH 4 emissions across highly heterogeneous spatial and temporal scales, particularly hot moments and hotspots, and (3) efforts should be invested to develop model benchmarking frameworks that can easily be used for model improvement, evaluation, and integration with data from molecular to global scales. These improvements in CH 4 models would be beneficial for the Earth system models and further simulation of climate-carbon cycle feedbacks.

show abstract

Mathematical modeling and simulation of methane gas production in simulated landfill column reactors under sulfidogenic and methanogenic environments

Cited by 10 publications

References 0 publications

Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems

Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems

Numerical Early Warning Model Research of Landfill Gas Permeation and Diffusion Considering Flow-Temperature Coupling

Responses to reviewer #2

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