Seasonal Variation of Landfill Methane and Carbon Dioxide Emissions in a Tropical Climate

Abushammala, Mohammed F.M.; Basri, Noor Ezlin Ahmad; Younes, Mohammad K.

doi:10.18178/ijesd.2016.7.8.844

Cited by 20 publications

(23 citation statements)

References 14 publications

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“…Previous studies have diagnosed some seasonality for CH 4 emissions (Lowry et al, 2001;McKain et al, 2015). As examples of the potential explanations for this phenomenon, the seasonality of the gas consumption for heating (with large consumption for lower temperatures, especially in winter) could drive seasonal variations in the gas leakage (Jeong et al, 2012), and the seasonal variations in the meteorology (pressure, humidity, temperature) could impact the decomposition and release of CH 4 , and thus the emissions, from the waste storage and waste treatment sector (Börjesson and Svensson, 1997;Masuda et al, 2015;Abushammala et al, 2016). However, characterising such seasonal variations is a difficult task, which may vary substantially depending on the sectors and cities.…”

Section: Simulation Of the Atmospheric Transport Of Comentioning

confidence: 99%

Analysis of the potential of near-ground measurements of CO2 and CH4 in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

et al. 2016

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Abstract. Carbon dioxide (CO 2 ) and methane (CH 4 ) mole fractions were measured at four near-ground sites located in and around London during the summer of 2012 with a view to investigating the potential of assimilating such measurements in an atmospheric inversion system for the monitoring of the CO 2 and CH 4 emissions in the London area. These data were analysed and compared with simulations using a modelling framework suited to building an inversion system: a 2 km horizontal resolution south of England configuration of the transport model CHIMERE driven by European Centre for Medium-Range Weather Forecasts (ECMWF) meteorological forcing, coupled to a 1 km horizontal resolution emission inventory (the UK National Atmospheric Emission Inventory). First comparisons reveal that local sources, which cannot be represented in the model at a 2 km resolution, have a large impact on measurements. We evaluate methods to filter out the impact of some of the other critical sources of discrepancies between the measurements and the model simulation except that of the errors in the emission inventory, which we attempt to isolate. Such a separation of the impact of errors in the emission inventory should make it easier to identify the corrections that should be applied to the inventory. Analysis is supported by observations from meteorological sites around the city and a 3-week period of atmospheric mixing layer height estimations from lidar measurements. The difficulties of modelling the mixing layer depth and thus CO 2 and CH 4 concentrations during the night, morning and late afternoon lead to focusing on the afternoon period for all further analyses. The discrepancies between observations and model simulations are high for both CO 2 and CH 4 (i.e. their root mean square (RMS) is between 8 and 12 parts per million (ppm) for CO 2 and between 30 and 55 parts per billion (ppb) for CH 4 at a given site). By analysing the gradients between the urban sites and a suburban or rural reference site, we are able to decrease the impact of uncertainties in the fluxes and transport outside the London area and in the model domain boundary conditions. We are thus able to better focus attention on the signature of London urban CO 2 and CH 4 emissions in the atmospheric CO 2 and CH 4 concentrations. This considerably improves the statistical agreement between the model and observations for CO 2 (with modeldata RMS discrepancies that are between 3 and 7 ppm) and to a lesser degree for CH 4 (with model-data RMS discrepancies that are between 29 and 38 ppb). Between one of the urban sites and either the rural or suburban reference site, selecting the gradients during periods wherein the reference site is upwind of the urban site further decreases the statistics of the discrepancies in general, though not systematically. In a further attempt to focus on the signature of the city anthropogenic emission in the mole fraction measurements, we use a theoretical ratio of gradients of carbon monoxide (CO) to gradients of CO 2 from fossil fuel emiss...

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Section: Simulation Of the Atmospheric Transport Of Comentioning

confidence: 99%

Analysis of the potential of near-ground measurements of CO2 and CH4 in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

et al. 2016

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“…Some studies have shown that higher CH 4 and CO 2 emissions are more common during the wet season than the dry season. According to Abushammala, Basri and Younes (2016), landfill gas emissions were measured in a landfill under tropical conditions in Malaysia to investigate seasonal variations in CH 4 and CO 2 emissions. The study results revealed that CH 4 and CO 2 emissions varied from 0 to 1,602 g m -2 d -1 and from 5 to 2,753 g m -2 d -1 during the wet and dry seasons, respectively, corroborating that higher CH 4 and CO 2 emissions are more frequent during the wet season than the dry season.…”

Section: Resultsmentioning

confidence: 99%

Características Climáticas E Variações Horárias Da Concentração Do Biogás Em Um Aterro Sanitário Localizado No Nordeste Do Brasil

Mota¹,

Monteiro²,

Silva³

et al. 2020

Rev. Bras. Ciênc. Ambient. (Online)

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Neste trabalho foram determinadas as variações horárias dasconcentrações de metano (CH4), dióxido de carbono (CO2) e oxigênio(O2), ao longo de 24 horas de medições em um aterro sanitário localizadona região nordeste do Brasil, onde predomina o clima tropical quentesemiárido brando. Foram realizadas quatro coletas de dados durante 24horas, cada, nos meses de novembro de 2014, e janeiro, março e abrilde 2015. As medições foram feitas em um dreno do aterro sanitário,utilizando-se um analisador portátil de gás. Constatou-se que as maioresconcentrações de metano foram encontradas para os maiores valores detemperatura do biogás. A máxima concentração de CH4(59,2%) ocorreupara a temperatura de 36,8ºC, enquanto a mínima concentração de CH4(43,2%) foi determinada para a temperatura de 25,4ºC. Não se observourelação entre a emissão de CH4 e a ocorrência ou não de chuvas, sendo atemperatura o fator que mais influenciou a concentração desse gás.

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“…The MSW dumped at Pirana has been broadly classified as organic matters (72%), earth material (13.5%), plastic (6.8%), paper (5.7%), and metal/glass (2%) ( Singh et al, 2008 ). Among a mixture of gases, the burning and decomposition of landfill organic materials leads to the release mainly of CH 4 (45–60%) and CO 2 (40–55%) (e.g., Abushammala et al., 2016 ). Also, trace amounts of various VOCs are emitted from the decomposition and burning of organic materials.…”

Section: Methodsmentioning

confidence: 99%

Emissions of non-methane volatile organic compounds from a landfill site in a major city of India: impact on local air quality

Dave

Sahu

Bajaj

et al. 2020

Heliyon

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Emissions from landfills are a significant source of non-methane volatile organic compounds (NMVOCs) in urban environments. NMVOCs play an important role in atmospheric chemistry, and elevated concentrations of some compounds are responsible for air quality deterioration. This study is based on the measurements of a suite of 20 C 2 –C 8 NMVOCs at 21 upwind and downwind sites of the largest landfill in western India. Ethane, ethylene and aromatics were the dominant compounds; the concentrations of BTEX in the downwind regions were up to three times higher than their concentrations at upwind sites. The emission ratios of BTEX and other NMVOCs were different from those for residential, commercial, and industrial sources characterizing the emissions from burning and decomposition of organic material. The slope of ΔToluene/ΔBenzene of 0.64 is about three times higher than that determined at the main road junctions of the city. Ranking by Prop-Equiv, the top NMVOCs were isoprene, cis-2-Butene, m + p-xylenes, propylene, ethylene and trans-2-Butene account for 72–75% of the total Prop-Equiv concentrations. Alkenes played the dominant role in ozone formation, followed by aromatic and alkane groups. In addition to landfill emissions, contributions from traffic-related emissions to ambient concentrations of aromatic VOCs were also significant at some sites. Although the experiment was not designed to characterize the emissions from a specific source, the analysis suggests the substantial contributions from both decomposition and burning of landfill materials. The main difficulty in characterizing VOC emissions from landfills is the spatial and temporal variability of emissions from a large area.

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Seasonal Variation of Landfill Methane and Carbon Dioxide Emissions in a Tropical Climate

Cited by 20 publications

References 14 publications

Analysis of the potential of near-ground measurements of CO<sub>2</sub> and CH<sub>4</sub> in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

Analysis of the potential of near-ground measurements of CO<sub>2</sub> and CH<sub>4</sub> in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

Características Climáticas E Variações Horárias Da Concentração Do Biogás Em Um Aterro Sanitário Localizado No Nordeste Do Brasil

Emissions of non-methane volatile organic compounds from a landfill site in a major city of India: impact on local air quality

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Seasonal Variation of Landfill Methane and Carbon Dioxide Emissions in a Tropical Climate

Cited by 20 publications

References 14 publications

Analysis of the potential of near-ground measurements of CO&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

Analysis of the potential of near-ground measurements of CO&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

Características Climáticas E Variações Horárias Da Concentração Do Biogás Em Um Aterro Sanitário Localizado No Nordeste Do Brasil

Emissions of non-methane volatile organic compounds from a landfill site in a major city of India: impact on local air quality

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Product

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Analysis of the potential of near-ground measurements of CO<sub>2</sub> and CH<sub>4</sub> in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model

Analysis of the potential of near-ground measurements of CO<sub>2</sub> and CH<sub>4</sub> in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model