Landfill gas emission prediction using Voronoi diagrams and importance sampling

Mackie, Kevin R.; Cooper, C. David

doi:10.1016/j.envsoft.2009.04.003

Cited by 43 publications

(18 citation statements)

References 18 publications

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“…In fact, aerobic bioreactors aim at increasing CO 2 production at the expense of CH 4 . The latter that has received attention as a significant contributor to global warming with CH 4 concentrations having more than doubled during the past 100 years and continue to rise (Zhang et al, 2008) with landfills being among the largest anthropogenic sources (Mackie and Cooper, 2009) contributing up to 30% of total CH 4 emissions worldwide (Borjesson et al, 2000;Spokas et al, 2003;Ishigaki et al, 2005;Abichou et al, 2006). On the other hand, CH 4 has a radiative efficiency of 3.7 × 10 −4 W m −2 ppb −1 compared to 1.4 × 10 −5 W m −2 ppb −1 for CO 2 , thus a global warming potential (GWP) of 21-to 25-fold over Thompson et al, 2009).…”

Section: Design and Operation Considerationsmentioning

confidence: 99%

Determinants of Optimal Aerobic Bioreactor Landfilling for the Treatment of the Organic Fraction of Municipal Waste

Hashisho

El‐Fadel

2014

Critical Reviews in Environmental Science and Technology

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Section: Design and Operation Considerationsmentioning

confidence: 99%

Determinants of Optimal Aerobic Bioreactor Landfilling for the Treatment of the Organic Fraction of Municipal Waste

Hashisho

El‐Fadel

2014

Critical Reviews in Environmental Science and Technology

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“…Landfills in the USA emit about one-third of all its emitted methane (Mackie and Cooper, 2009). Landfills are among the largest anthropogenic sources of methane in the USA.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of landfill gas pressure distribution in landfills

Xiong

2013

Waste Manag Res

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Landfill gas emissions are recognized as one of the three major concerns in municipal solid waste landfills. There are many factors that affect the generation of landfill gas when the landfill is capped. In this article, a model has been developed based on the theory of porous media flow. The model could predict the pressure distribution of landfill gas in landfill, coupling the effect of landfill settlement. According to the simulation analysis of landfill, it was found that: (a) the landfill gas pressure would reach a peak after 1.5 years, then begin to decline, and the rate of decay would slow down after 10 years; (b) the influence radius of the gas wells is limited; (c) the peak value of landfill gas pressure is larger, it appears later and the rate of decay is slower when the landfill settlement is considered in the model; (d) the calculation of excess gas pressure in landfill under different negative pressures of the extraction well is compared between this model and another model, and the results show that the relative pressure distribution form and range are almost the same.

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“…However, even with this relatively small number, fairly stable values of the total landfill CH 4 emission rate were obtained, and the result was an "automated" method using Voronoi diagrams and importance sampling that is being published separately. 16 The Voronoi diagram method of placing sources proved to be a significant improvement to the "good judgment" method; furthermore it was automated and thus much faster. The revised emissions estimate for the base case (data from the monitoring survey of second quarter, 2007) using the Voronoi method was 708 g/sec (vs. 970 g/sec).…”

Section: Steps 1 and 2: Obtain Measurements And Locate Receptors Andmentioning

confidence: 99%

“…This approach is briefly discussed in the following paragraphs and is described in more detail elsewhere. 16 An importance sampling algorithm was also developed to help determine optimal placement of the sources using the input locations as a starting point. For each realization of the simulation, probability density functions that describe likely locations of the sources were sampled.…”

Section: Steps 1 and 2: Obtain Measurements And Locate Receptors Andmentioning

confidence: 99%

A Robust Method for Estimating Landfill Methane Emissions

Figueroa

Mackie

Guarriello

et al. 2009

Journal of the Air & Waste Management Association

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Because municipal solid waste (MSW) landfills emit significant amounts of methane, a potent greenhouse gas, there is considerable interest in quantifying surficial methane emissions from landfills. The authors present a method to estimate methane emissions, using ambient air volatile organic compound (VOC) measurements taken above the surface of the landfill. Using a hand-held monitor, hundreds of VOC concentrations can be taken easily in a day, and simple meteorological data can be recorded at the same time. The standard Gaussian dispersion equations are inverted and solved by matrix methods to determine the methane emission rates at hundreds of point locations throughout a MSW landfill. These point emission rates are then summed to give the total landfill emission rate. This method is tested on a central Florida MSW landfill using data from 3 different days, taken 6 and 12 months apart. A sensitivity study is conducted, and the emission estimates are most sensitive to the input meteorological parameters of wind speed and stability class. Because of the many measurements that are used, the results are robust. When the emission estimates were used as inputs into a dispersion model, a reasonable scatterplot fit of the individual concentration measurement data resulted.

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Landfill gas emission prediction using Voronoi diagrams and importance sampling

Cited by 43 publications

References 18 publications

Determinants of Optimal Aerobic Bioreactor Landfilling for the Treatment of the Organic Fraction of Municipal Waste

Determinants of Optimal Aerobic Bioreactor Landfilling for the Treatment of the Organic Fraction of Municipal Waste

Numerical simulation of landfill gas pressure distribution in landfills

A Robust Method for Estimating Landfill Methane Emissions

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