Testing Lagrangian atmospheric dispersion modelling to monitor CO2 and CH4 leakage from geosequestration

Loh, Zoë; Leuning, R.; Zegelin, Steve; Etheridge, D. M.; Bai, Mei; Naylor, Travis A; Griffith, David

doi:10.1016/j.atmosenv.2009.01.053

Cited by 52 publications

(37 citation statements)

References 11 publications

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“…are unsuitable for applying the model (Freibauer 2000 ; Laubach and Kelliher 2005 ;Loh et al 2008 ). To optimize the positioning of the equipment, these meteorological and physical aspects of the experimental site must be taken into account (Flesch et al 2007 ;Loh et al 2008Loh et al , 2009 ). Moreover, the measurement area is restricted by the length of the laser paths when using a surface source approach.…”

Section: Open-path Lasermentioning

confidence: 99%

“…Methane concentration and environmental indicators such as atmospheric temperature, pressure, and wind direction and speed are continually measured and recorded using a weather station (Loh et al , 2009 ). Data-including GPS coordinates of the paddock or individual animals from a number of averaging time periods-can be merged using statistical software.…”

Section: Open-path Lasermentioning

confidence: 99%

See 1 more Smart Citation

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Rosenstock¹,

Rufino²,

Butterbach‐Bahl³

et al. 2016

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Section: Open-path Lasermentioning

confidence: 99%

Section: Open-path Lasermentioning

confidence: 99%

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Rosenstock¹,

Rufino²,

Butterbach‐Bahl³

et al. 2016

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“…This is particularly important when there is a strong biospheric carbon flux nearby. Loh et al (2009) used the WindTrax Lagrangian particle dispersion model to evaluate atmospheric measurements of point source CO 2 and methane emissions at a local scale. They showed that the method could be useful for methane, where the emissions were large relative to the methane background variability, but was more difficult for CO 2 , where background variability was a dominant source of uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric measurement of point source fossil CO<sub>2</sub> emissions

et al. 2014

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Abstract. We use the Kapuni Gas Treatment Plant to examine methodologies for atmospheric monitoring of point source fossil fuel CO 2 (CO 2 ff) emissions. The Kapuni plant, located in rural New Zealand, removes CO 2 from locally extracted natural gas and vents that CO 2 to the atmosphere, at a rate of ∼ 0.1 Tg carbon per year. The plant is located in a rural dairy farming area, with no other significant CO 2 ff sources nearby, but large, diurnally varying, biospheric CO 2 fluxes from the surrounding highly productive agricultural grassland. We made flask measurements of CO 2 and 14 CO 2 (from which we derive the CO 2 ff component) and in situ measurements of CO 2 downwind of the Kapuni plant, using a Helikite to sample transects across the emission plume from the surface up to 100 m above ground level. We also determined the surface CO 2 ff content averaged over several weeks from the 14 C content of grass samples collected from the surrounding area. We use the WindTrax plume dispersion model to compare the atmospheric observations with the emissions reported by the Kapuni plant, and to determine how well atmospheric measurements can constrain the emissions. The model has difficulty accurately capturing the fluctuations and short-term variability in the Helikite samples, but does quite well in representing the observed CO 2 ff in 15 min averaged surface flask samples and in ∼ one week integrated CO 2 ff averages from grass samples. In this pilot study, we found that using grass samples, the modeled and observed CO 2 ff emissions averaged over one week agreed to within 30 %. The results imply that greater verification accuracy may be achieved by including more detailed meteorological observations and refining 14 C sampling strategies.

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“…are unsuitable for applying the model (Freibauer 2000 ;Laubach and Kelliher 2005 ;Loh et al 2008 ). To optimize the positioning of the equipment, these meteorological and physical aspects of the experimental site must be taken into account (Flesch et al 2007 ;Loh et al 2008Loh et al , 2009 ). Moreover, the measurement area is restricted by the length of the laser paths when using a surface source approach.…”

Section: Open-path Lasermentioning

confidence: 99%

A Comparison of Methodologies for Measuring Methane Emissions from Ruminants

Goopy

Chang

Tomkins

2016

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

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Accurate measurement techniques are needed for determining greenhouse gas (GHG) emissions in order to improve GHG accounting estimates to IPCC Tiers 2 and 3 and enable the generation of carbon credits. Methane emissions from agriculture must be well defi ned, especially for ruminant production systems where national livestock inventories are generated. This review compares measurement techniques for determining methane production at different scales, ranging from in vitro studies to individual animal or herd measurements. Feed intake is a key driver of enteric methane production (EMP) and measurement of EMP in smallholder production systems face many challenges, including marked heterogeneity in systems and feed base, as well as strong seasonality in feed supply and quality in many areas of sub-Saharan Africa.In vitro gas production studies provide a starting point for research into mitigation strategies, which can be further examined in respiration chambers or ventilated hood systems. For making measurements under natural grazing conditions, methods include the polytunnel, sulfur hexafl uoride (SF 6 ), and open-path laser. Developing methodologies are briefl y described: these include blood methane concentration, infrared thermography, pH, and redox balance measurements, methanogen population estimations, and indwelling rumen sensors.

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Testing Lagrangian atmospheric dispersion modelling to monitor CO2 and CH4 leakage from geosequestration

Cited by 52 publications

References 11 publications

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Atmospheric measurement of point source fossil CO<sub>2</sub> emissions

A Comparison of Methodologies for Measuring Methane Emissions from Ruminants

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Testing Lagrangian atmospheric dispersion modelling to monitor CO2 and CH4 leakage from geosequestration

Cited by 52 publications

References 11 publications

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture

Atmospheric measurement of point source fossil CO&lt;sub&gt;2&lt;/sub&gt; emissions

A Comparison of Methodologies for Measuring Methane Emissions from Ruminants

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Product

Resources

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Atmospheric measurement of point source fossil CO<sub>2</sub> emissions