Thematische Bibliographien / Atmospheric methane

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Auswahl der wissenschaftlichen Literatur zum Thema „Atmospheric methane“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 3. März 2023

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Zeitschriftenartikel zum Thema "Atmospheric methane"

Jensen, Sigmund, Anders Priemé und Lars Bakken. „Methanol Improves Methane Uptake in Starved Methanotrophic Microorganisms“. Applied and Environmental Microbiology 64, Nr. 3 (01.03.1998): 1143–46. http://dx.doi.org/10.1128/aem.64.3.1143-1146.1998.

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ABSTRACT Methanotrophs in enrichment cultures grew and sustained atmospheric methane oxidation when supplied with methanol. If they were not supplied with methanol or formate, their atmospheric methane oxidation came to a halt, but it was restored within hours in response to methanol or formate. Indigenous forest soil methanotrophs were also dependent on a supply of methanol upon reduced methane access but only when exposed to a methane-free atmosphere. Their immediate response to each methanol addition, however, was to shut down the oxidation of atmospheric methane and to reactivate atmospheric methane oxidation as the methanol was depleted.

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Benstead, J., G. M. King und H. G. Williams. „Methanol Promotes Atmospheric Methane Oxidation by Methanotrophic Cultures and Soils“. Applied and Environmental Microbiology 64, Nr. 3 (01.03.1998): 1091–98. http://dx.doi.org/10.1128/aem.64.3.1091-1098.1998.

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ABSTRACT Two methanotrophic bacteria, Methylobacter albus BG8 and Methylosinus trichosporium OB3b, oxidized atmospheric methane during batch growth on methanol. Methane consumption was rapidly and substantially diminished (95% over 9 days) when washed cell suspensions were incubated without methanol in the presence of atmospheric methane (1.7 ppm). Methanotrophic activity was stimulated after methanol (10 mM) but not methane (1,000 ppm) addition. M. albus BG8 grown in continuous culture for 80 days with methanol retained the ability to oxidize atmospheric methane and oxidized methane in a chemostat air supply. Methane oxidation during growth on methanol was not affected by methane deprivation. Differences in the kinetics of methane uptake (apparent Km andV max) were observed between batch- and chemostat-grown cultures. The V max and apparent Km values (means ± standard errors) for methanol-limited chemostat cultures were 133 ± 46 nmol of methane 108 cells−1 h−1and 916 ± 235 ppm of methane (1.2 μM), respectively. These values were significantly lower than those determined with batch-grown cultures (V max of 648 ± 195 nmol of methane 108 cells−1 h−1 and apparent Km of 5,025 ± 1,234 ppm of methane [6.3 μM]). Methane consumption by soils was stimulated by the addition of methanol. These results suggest that methanol or other nonmethane substrates may promote atmospheric methane oxidation in situ.

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Stevens, C. M. „Atmospheric methane“. Chemical Geology 71, Nr. 1-3 (Dezember 1988): 11–21. http://dx.doi.org/10.1016/0009-2541(88)90102-7.

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Zhou, Wencai, Xueying Qiu, Yuheng Jiang, Yingying Fan, Shilei Wei, Dongxue Han, Li Niu und Zhiyong Tang. „Highly selective aerobic oxidation of methane to methanol over gold decorated zinc oxide via photocatalysis“. Journal of Materials Chemistry A 8, Nr. 26 (2020): 13277–84. http://dx.doi.org/10.1039/d0ta02793f.

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Arora, Vivek K., Joe R. Melton und David Plummer. „An assessment of natural methane fluxes simulated by the CLASS-CTEM model“. Biogeosciences 15, Nr. 15 (01.08.2018): 4683–709. http://dx.doi.org/10.5194/bg-15-4683-2018.

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Abstract. Natural methane emissions from wetlands and fire, and soil uptake of methane, simulated using the Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem (CLASS-CTEM) modelling framework, over the historical 1850–2008 period, are assessed by using a one-box model of atmospheric methane burden. This one-box model also requires anthropogenic emissions and the methane sink in the atmosphere to simulate the historical evolution of global methane burden. For this purpose, global anthropogenic methane emissions for the period 1850–2008 were reconstructed based on the harmonized representative concentration pathway (RCP) and Emission Database for Global Atmospheric Research (EDGAR) data sets. The methane sink in the atmosphere is represented using bias-corrected methane lifetimes from the Canadian Middle Atmosphere Model (CMAM). The resulting evolution of atmospheric methane concentration over the historical period compares reasonably well with observation-based estimates (correlation = 0.99, root mean square error = 35 ppb). The modelled natural emissions are also assessed using an inverse procedure where the methane lifetimes required to reproduce the observed year-to-year increase in atmospheric methane burden are calculated based upon the specified global anthropogenic and modelled natural emissions that we have used here. These calculated methane lifetimes over the historical period fall within the uncertainty range of observation-based estimates. The present-day (2000–2008) values of modelled methane emissions from wetlands (169 Tg CH4 yr−1) and fire (27 Tg CH4 yr−1), methane uptake by soil (29 Tg CH4 yr−1), and the budget terms associated with overall anthropogenic and natural emissions are consistent with estimates reported in a recent global methane budget that is based on top-down approaches constrained by observed atmospheric methane burden. The modelled wetland emissions increase over the historical period in response to both increases in precipitation and in atmospheric CO2 concentration. This increase in wetland emissions over the historical period yields evolution of the atmospheric methane concentration that compares better with observation-based values than the case when wetland emissions are held constant over the historical period.

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Catling, D. C., M. W. Claire und K. J. Zahnle. „Anaerobic methanotrophy and the rise of atmospheric oxygen“. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, Nr. 1856 (18.05.2007): 1867–88. http://dx.doi.org/10.1098/rsta.2007.2047.

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In modern marine sediments, the anoxic decomposition of organic matter generates a significant flux of methane that is oxidized microbially with sulphate under the seafloor and never reaches the atmosphere. In contrast, prior to ca 2.4 Gyr ago, the ocean had little sulphate to support anaerobic oxidation of methane (AOM) and the ocean should have been an important methane source. As atmospheric O 2 and seawater sulphate levels rose on the early Earth, AOM would have increasingly throttled the release of methane. We use a biogeochemical model to simulate the response of early atmospheric O 2 and CH 4 to changes in marine AOM as sulphate levels increased. Semi-empirical relationships are used to parameterize global AOM rates and the evolution of sulphate levels. Despite broad uncertainties in these relationships, atmospheric O 2 concentrations generally rise more rapidly and to higher levels (of order approx. 10 −3 bar versus approx. 10 −4 bar) as a result of including AOM in the model. Methane levels collapse prior to any significant rise in O 2 , but counter-intuitively, methane re-rises after O 2 rises to higher levels when AOM is included. As O 2 concentrations increase, shielding of the troposphere by stratospheric ozone slows the effective reaction rate between oxygen and methane. This effect dominates over the decrease in the methane source associated with AOM. Thus, even with the inclusion of AOM, the simulated Late Palaeoproterozoic atmosphere has a climatologically significant level of methane of approximately 50 ppmv.

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Yarakhmedov, M. B., A. G. Kiiamov, M. E. Semenov, A. P. Semenov und A. S. Stoporev. „Peculiarities of Decomposition of Gas Hydrates in the Presence of Methanol at Atmospheric Pressure“. Chemistry and Technology of Fuels and Oils 634, Nr. 6 (2022): 40–43. http://dx.doi.org/10.32935/0023-1169-2022-634-6-40-43.

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The study of the decomposition process of gas hydrates at atmospheric pressure and temperatures below 0°C revealed that methanol could affect this process in different ways, depending on its saturation with environmental components. Indeed, dueto the absorption of methane from the hydrate by methanol, the onset of its decomposition is observed at lower temperatures.Nevertheless, decomposition proceeds more slowly than with pure methane hydrate. When the methanol surrounding the methane hydrate is saturated with other medium components, the hydrate dissociation occurs at the equilibrium temperature (when intersecting the hydrate-ice-gas curve in a system without additives) regardless of the alcohol concentration. A similar situation is observed with hydrate obtained from a methane-propane gas mixture; however, under experimental conditions, ice beginsto melt at a lower temperature compared to the dissociation point of methane-propane hydrate (in the case of methane hydrate, the situation is reversed: the hydrate is less stable). High concentrations of methanol (above 40 mass%) lead to a significant decrease in the temperature of hydrate decomposition. The data obtained show that methanol in low dosages (about 10 mass%) can be usedfor gas storage and transportation since, under certain conditions, it does not shift the equilibrium curve of hydrate formation and slows down the process of methane hydrate decomposition.

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Keppler, Frank, Mihály Boros, Christian Frankenberg, Jos Lelieveld, Andrew McLeod, Anna Maria Pirttilä, Thomas Röckmann und Jörg-Peter Schnitzler. „Methane formation in aerobic environments“. Environmental Chemistry 6, Nr. 6 (2009): 459. http://dx.doi.org/10.1071/en09137.

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Environmental context. Methane is an important greenhouse gas and its atmospheric concentration has drastically increased since pre-industrial times. Until recently biological methane formation has been associated exclusively with anoxic environments and microbial activity. In this article we discuss several alternative formation pathways of methane in aerobic environments and suggest that non-microbial methane formation may be ubiquitous in terrestrial and marine ecosystems. Abstract. Methane (CH4), the second principal anthropogenic greenhouse gas after CO2, is the most abundant reduced organic compound in the atmosphere and plays a central role in atmospheric chemistry. Therefore a comprehensive understanding of its sources and sinks and the parameters that control emissions is prerequisite to simulate past, present and future atmospheric conditions. Until recently biological CH4 formation has been associated exclusively with anoxic environments and methanogenic activity. However, there is growing and convincing evidence of alternative pathways in the aerobic biosphere including terrestrial plants, soils, marine algae and animals. Identifying and describing these sources is essential to complete our understanding of the biogeochemical cycles that control CH4 in the atmospheric environment and its influence as a greenhouse gas.

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Smith, H. J. „ATMOSPHERIC SCIENCE: Sourcing Methane“. Science 316, Nr. 5826 (11.05.2007): 799b. http://dx.doi.org/10.1126/science.316.5826.799b.

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Wilson, Jason. „Natural atmospheric methane contributions“. Marine Pollution Bulletin 28, Nr. 4 (April 1994): 194–95. http://dx.doi.org/10.1016/0025-326x(94)90085-x.

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Dissertationen zum Thema "Atmospheric methane"

Tice, Dane Steven. „Ground-based near-infrared remote sounding of ice giant clouds and methane“. Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:4f09f270-a25c-4d36-96d3-13070a594eaa.

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The ice giants, Uranus and Neptune, are the two outermost planets in our solar system. With only one satellite flyby each in the late 1980’s, the ice giants are arguably the least understood of the planets orbiting the Sun. A better understanding of these planets’ atmospheres will not only help satisfy the natural scientific curiosity we have about these distant spheres of gas, but also might provide insight into the dynamics and meteorology of our own planet’s atmosphere. Two new ground-based, near-infrared datasets of the ice giants are studied. Both datasets provide data in a portion of the electromagnetic spectrum that provides good constraint on the size of small scattering particles in the atmospheres’ clouds and haze layers. The broad extent of both telescopes’ spectral coverage allows characterisation of these small particles for a wide range of wavelengths. Both datasets also provide coverage of the 825 nm collision-induced hydrogen-absorption feature, allowing us to disentangle the latitudinal variation of CH4 abundance from the height and vertical extent of clouds in the upper troposphere. A two-cloud model is successfully fitted to IRTF SpeX Uranus data, parameterising both clouds with base altitude, fractional scale height, and total opacity. An optically thick, vertically thin cloud with a base pressure of 1.6 bar, tallest in the midlatitudes, shows strong preference for scattering particles of 1.35 μm radii. Above this cloud lies an optically thin, vertically extended haze extending upward from 1.0 bar and consistent with particles of 0.10 μm radii. An equatorial enrichment of methane abundance and a lower cloud of constant vertical thickness was shown to exist using two independent methods of analysis. Data from Palomar SWIFT of three different latitude regions.

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Knappett, Diane Shirley. „Observing the distribution of atmospheric methane from space“. Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/10928.

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Methane (CH4) is a potent greenhouse gas with a radiative forcing efficiency 21 times greater than that of carbon dioxide (CO2) and an atmospheric lifetime of approximately 12 years. Although the annual global source strength of CH4 is fairly well constrained, the temporal and spatial variability of individual sources and sinks is currently less well quantified. In order to constrain CH4 emission estimates, inversion models require satellite retrievals of XCH4 with an accuracy of < 1-2%. However, satellite retrievals of XCH4 in the shortwave infrared (SWIR) are often hindered by the presence of atmospheric aerosols and/or thin ice (cirrus) clouds which can lead to biases in the resulting trace gas total column of comparable magnitude. This thesis aims to quantify the magnitude of retrieval errors caused by aerosol and cirrus cloud induced scattering for the Full Spectral Initiation Weighting Function Modified Differential Optical Absorption Spectroscopy (FSI WFM-DOAS) retrieval algorithm. A series of sensitivity tests have been performed which reveal that a) for scenes of high optical depth, accurate aerosol a priori data is required to reduce retrieval errors, b) retrieval errors due to aerosol and ice cloud scattering are highly dependent on surface albedo, SZA and the altitude at which scattering occurs and c) errors induced in global retrievals by the presence of ice clouds (up to ~ 35%) are significantly greater than those owing to aerosols (~ 1-2%). Cloud filtering is therefore important even when employing proxy methods. Furthermore, the original FSI WFM-DOAS V2 algorithm (OFSI) has been successfully modified with improved a priori albedo and aerosol, resulting in two new versions of the retrieval: MFSI and GFSI. Initial comparison of OFSI, MFSI and GFSI retrievals of XCH4 over North America show minor improvements in retrieval error, however further comparison over regions of high optical depth are required.

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Warwick, Nicola Julie. „Global modelling of atmospheric methane and methyl bromide“. Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619980.

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Teama, Doaa Galal. „A 30-Year Record of the Isotopic Composition of Atmospheric Methane“. Thesis, Portland State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3557627.

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Methane (CH₄) is one of the most important greenhouse gases after water vapor and carbon dioxide due to its high concentration and global warming potential 25 times than that of CO₂(based on a 100 year time horizon). Its atmospheric concentration has more than doubled from the preindustrial era due to anthropogenic activities such as rice cultivation, biomass burning, and fossil fuel production. However, the rate of increase of atmospheric CH₄ (or the growth rate) slowed from 1980 until present. The main reason for this trend is a slowdown in the trend of CH₄sources. Measuring stable isotopes of atmospheric CH₄ can constrain changes of CH₄sources. The main goal of this work is to interpret the CH₄ trend from 1978-2010 in terms of its sources using measurements of CH₄ mixing ratio and its isotopes.

The current work presents the measurements and analysis of CH₄ and its isotopes (δ¹³C and δD) of four air archive sample sets collected by the Oregon Graduate Institute (OGI). CH₄ isotope ratios (δ¹³C and δD) were measured by a continuous flow isotope ratio mass spectrometer technique developed at PSU. The first set is for Cape Meares, Oregon which is the oldest and longest set and spans 1977-1999. The integrity of this sample set was evaluated by comparing between our measured CH₄ mixing ratio values with those measured values by OGI and was found to be stable. Resulting CH₄ seasonal cycle was evaluated from the Cape Meares data. The CH₄ seasonal cycle shows a broad maximum during October-April and a minimum between July and August. The seasonal cycles of δ¹³C and δD have maximum values in May for δ¹³C and in July for δD and minimum values between September-October for δ¹³C and in October for δD. These results indicate a CH₄ source that is more enriched January-May (e.g. biomass burning) and a source that is more depleted August-October (e.g. microbial). In addition to Cape Meares, air archive sets were analyzed from: South Pole (SPO), Samoa (SMO), Mauna Loa (MLO) 1992-1996. The presented δD measurements are unique measured values during these time periods at these stations.

To obtain the long-term in isotopic CH₄ from 1978-2010, other datasets of Northern Hemisphere mid-latitude sites are included with Cape Meares. These sites are Olympic Peninsula, Washington; Montaña de Oro, California; and Niwot Ridge, Colorado. The seasonal cycles of CH₄ and its isotopes from the composite dataset have the same phase and amplitudes as the Cape Meares site. CH₄ growth rate shows a decrease over time 1978-2010 with three main spikes in 1992, 1998, and 2003 consistent with the literature from the global trend. CH₄ lifetime is estimated to 9.7 yrs. The δ¹³C trend in the composite data shows a slow increase from 1978-1987, a more rapid rate of change 1987-2005, and a gradual depletion during 2005-2010. The δD trend in the composite data shows a gradual increase during 1978-2001 and decrease from 2001-2005. From these results, the global CH₄ emissions are estimated and show a leveling off sources 1982-2010 with two large peak anomalies in 1998 and 2003. The global average δ¹³C and δD of CH₄ sources are estimated from measured values. The results of these calculations indicate that there is more than one source which controls the decrease in the global CH4 trend. From 1982-2001, δ¹³C and δD of CH₄ sources becomes more depleted due to a decrease in fossil and/or biomass burning sources relative to microbial sources. From 2005-2010, δ¹³C of CH₄ sources returns to its 1981 value. There are two significant peaks in δ¹³C and δD of CH₄ sources in 1998 and 2003 due to the wildfire emissions in boreal areas and in Europe.

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Butterworth, Anna Lucy. „Determination of the combined isotopic composition of atmospheric methane“. Thesis, Open University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264463.

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Butenhoff, Christopher Lee. „Investigation of the sources and sinks of atmospheric methane“. PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/2813.

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The work presented here represents a number of independent studies that investigated various components of the CH4 budget, namely the sources and sinks. We used a chemical-tracer model and created unique long-term time series of atmospheric CH4, carbon monoxide (CO), molecular hydrogen (H2), and methylchloroform (CH3CCl3) measurements at marine background air to derive histories of atmospheric hydroxyl radical (OH) - the main chemical oxidant of CH4, biomass burning - an important source of CH4 in the tropics, and emissions of CH4 from rice paddies - one of the largest anthropogenic sources of CH4, over decadal scales. Globally gridded inventories of CH4 emissions from rice paddies and terrestrial vegetation were created by synthesizing greenhouse and field CH4 fluxes, satellite-derived biophysical data, and terrestrial geospatial information.

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Wecht, Kevin James. „Quantifying Methane Emissions Using Satellite Observations“. Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11252.

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Methane is the second most influential anthropogenic greenhouse gas. There are large uncertainties in the magnitudes and trends of methane emissions from different source types and source regions. Satellite observations of methane offer dense spatial coverage unachievable by suborbital observations. This thesis evaluates the capabilities of using satellite observations of atmospheric methane to provide high-resolution constraints on continental scale methane emissions. In doing so, I seek to evaluate the supporting role of suborbital observations, to inform the emission inventories on which policy decisions are based, and to enable inverse modeling of the next generation of satellite observations.
Earth and Planetary Sciences

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Srong, E. Kimberley. „Spectral parameters of methane for remote sounding of the Jovian atmosphere“. Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:0f870f86-c546-461d-aca7-61f1ccc249df.

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Spectroscopic measurements in the infrared have proven to be a valuable source of information about the Jovian atmosphere. However, numerous questions remain, many of which will be addressed by the Galileo μission, due to arrive at Jupiter in December, 1995. One of the instruments on Galileo is the Near-Infrared Mapping Spectrometer (NIMS), which will measure temperature structure, cheμical composition, and cloud properties. The objective of the work described in this thesis was to investigate the transmittance properties of the Jovian atmosphere and, in particular, to obtain transmittance functions of CH₄ for future use in the planning and interpretation of NIMS measurements. This thesis begins with a review of our current understanding of the Jovian atmosphere (Chapter 1), and a description of the Galileo μission and the design and objectives of NIMS (Chapter 2). It is then shown (Chapter 3) that absorption bands of CH₄ doμinate the nearinfrared spectrum of Jupiter, but that line data for CH₄ are currently inadequate over much of the NIMS spectral range (0.7-5.2 /μi). For the purposes of NIMS, which has a low resolution of 0.25 /μi, the spectrum of CH₄ can be characterised using band models of transmittance as a function of temperature, pressure, and abundance. The theory of band modelling is presented, and previous band-modelling studies of CH₄ are reviewed and are also shown to be inadequate for NIMS (Chapter 4). An experimental investigation was therefore undertaken to record CH₄ spectra under Jovian conditions of low temperature, large abundance, and H₂-broadening. The experimental resources used to obtain these spectra are described (Chapter 5), the generation of the transmittance spectra is discussed, and their quality is assessed (Chapter 6). The range of frequencies and laboratory conditions covered by these spectra (listed in Appendix A) makes them one of the most comprehensive data sets of this kind yet published. These spectra were subsequently used to derive transmittance functions for CH₄ (Chapter 7). A variety of models were fitted to the self-broadened CH₄ spectra, and the Goody and Malkmus random band models, using the Voigt lineshape, are shown to provide the best fits. These two models were then fitted to the combined set of self- and H₂-broadened CH₄ spectra. The parameters fitted with the Goody-Voigt model are included in this thesis (Appendices B and C). Finally, the application of these new band model fits to the problem of Jovian remote sounding is addressed (Chapter 8). This includes an assessment of the reliability of extrapolation to Jovian conditions, a calculation of the level in the Jovian atmosphere that will be sounded by observations of CH₄ absorption, and a calculation of how the uncertainties in the fitted band model will affect the retrieval of atmospheric parameters from NIMS spectra. This thesis concludes with a detailed summary, and with suggestions for future investigations which will help to maximise the return of information from NIMS.

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Snover, Amy Katherine. „The stable hydrogen isotopic composition of methane emitted from biomass burning and removed by oxic soils : application to the atmospheric methane budget /“. Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/11570.

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Bräunlich, Maya. „Study of atmospheric carbon monoxide and methane Untersuchung von atmosphärischen Kohlenmonoxid und Methan anhand von Isotopenmessungen /“. [S.l. : s.n.], 2000. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB8832641.

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Bücher zum Thema "Atmospheric methane"

Khalil, Mohammad Aslam Khan, Hrsg. Atmospheric Methane. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1.

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Khalil, M. A. K. 1950-, North Atlantic Treaty Organization. Scientific Affairs Division. und NATO Advanced Research Workshop on the Atmospheric Methane Cycle: Sources, Sinks, Distributions, and Role in Global Change (1991 : Portland, Or.), Hrsg. Atmospheric methane: Sources, sinks, and role in global change. Berlin: Springer-Verlag, 1993.

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M, Bruhl Christoph, Thompson Anne M und United States. National Aeronautics and Space Administration., Hrsg. The current and future environmental role of atmospheric methane: Model studies and uncertainties. [Washington, DC: National Aeronautics and Space Administration, 1993.

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H, Bruhl Christoph, Thompson Anne M und United States. Environmental Protection Agency., Hrsg. The current and future environmental role of atmospheric methane: Model studies and uncertainties. [Washington, D.C: U.S. Environmental Protection Agency, 1992.

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M, McIntosh Catherine, und Environmental Research Laboratories (U.S.), Hrsg. Atmospheric CH₄ seasonal cycles and latitude gradient from the NOAA CMDL cooperative air sampling network : Forecast Systems Laboratory, Boulder, Colorado, August 1996. Boulder, Colo: United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1996.

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Khalil, M. A. K., Hrsg. Atmospheric Methane: Sources, Sinks, and Role in Global Change. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84605-2.

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Workshop, WMO/UNEP Intergovernmental Panel on Climate Change International IPCC. Methane and nitrous oxide: Methods in national emissions inventories and options for control : proceedings, Euroase Hotel, Amersfoort, the Netherlands, 3-5 February 1993. Bilthoven, the Netherlands: National Institute of Public Health and Environmental Protection, 1993.

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Steele, L. Paul. Atmospheric methane concentrations: The NOAA/CMDL Global Cooperative Flask Sampling Network, 1983-1988. Oak Ridge, Tenn: Oak Ridge National Laboratory, 1991.

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Lang, Patricia M. Atmospheric methane data for the period 1986-1986 from the NOAA/CMDL global cooperative flask sampling network. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Climate Monitoring and Diagnostics Laboratory, 1990.

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Buchteile zum Thema "Atmospheric methane"

Khalil, M. A. K. „Atmospheric Methane: An Introduction“. In Atmospheric Methane, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_1.

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Shearer, M. J., und M. A. K. Khalil. „Rice Agriculture: Emissions“. In Atmospheric Methane, 170–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_10.

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Levine, Joel S., Wesley R. Cofer und Joseph P. Pinto. „Biomass Burning“. In Atmospheric Methane, 190–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_11.

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Matthews, Elaine. „Wetlands“. In Atmospheric Methane, 202–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_12.

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Thorneloe, Susan A., Morton A. Barlaz, Rebecca Peer, L. C. Huff, Lee Davis und Joe Mangino. „Waste Management“. In Atmospheric Methane, 234–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_13.

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Kirchgessner, David A. „Fossil Fuel Industries“. In Atmospheric Methane, 263–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_14.

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Judd, A. G. „Geological Sources of Methane“. In Atmospheric Methane, 280–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_15.

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Wuebbles, Donald J., Katharine A. S. Hayhoe und Rao Kotamarthi. „Methane in the Global Environment“. In Atmospheric Methane, 304–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_16.

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Chappellaz, J., D. Raynaud, T. Blunier und B. Stauffer. „The Ice Core Record of Atmospheric Methane“. In Atmospheric Methane, 9–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_2.

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Stevens, C. M., und M. Wahlen. „The Isotopic Composition of Atmospheric Methane and Its Sources“. In Atmospheric Methane, 25–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_3.

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Konferenzberichte zum Thema "Atmospheric methane"

Tsvetova, Elena A. „Modeling of hydrodynamics of water-methane heterogeneous system“. In XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, herausgegeben von Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205998.

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Meng, Lichun, Andreas Fix, Lasse Høgstedt, Peter Tidemand-Lichtenberg, Christian Pedersen und Peter John Rodrigo. „Upconversion Detector for Methane Atmospheric Sensor“. In Optics and Photonics for Energy and the Environment. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/ee.2017.ew4b.2.

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Jarem, John M., Joseph H. Pierluissi und William W. Ng. „A Transmittance Model For Atmospheric Methane“. In 28th Annual Technical Symposium, herausgegeben von Richard A. Mollicone und Irving J. Spiro. SPIE, 1985. http://dx.doi.org/10.1117/12.945011.

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Fiedler, Michael, C. Goelz und Ulrich Platt. „Nonresonant photoacoustic monitoring of atmospheric methane“. In Environmental Sensing '92, herausgegeben von Harold I. Schiff und Ulrich Platt. SPIE, 1993. http://dx.doi.org/10.1117/12.140227.

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Tanichev, Aleksandr S. „Method for fast modeling ν2 Raman band of methane“. In 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, herausgegeben von Oleg A. Romanovskii und Gennadii G. Matvienko. SPIE, 2021. http://dx.doi.org/10.1117/12.2603359.

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Voitsekhovskaya, Olga, Vitaliy Loskutov, Olga V. Shefer und Danila Kashirskii. „Transmission of radiant energy by gas-aerosol medium containing methane“. In XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, herausgegeben von Oleg A. Romanovskii und Gennadii G. Matvienko. SPIE, 2017. http://dx.doi.org/10.1117/12.2284933.

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Ageev, Boris, und Yury Ponomarev. „Estimate of methane-capacity of aerogel samples of different compositions“. In XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, herausgegeben von Oleg A. Romanovskii und Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2503956.

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Gong, Weihua, Qinduan Zhang, Tingting Zhang, TONGYU LIU, ZHAOWEI WANG und YUBIN WEI. „Study on laser methane remote sensor based on TDLAS“. In Atmospheric and Environmental Optics, herausgegeben von Liang Xu, Jianguo Liu und Jian Gao. SPIE, 2023. http://dx.doi.org/10.1117/12.2651953.

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Pestunov, Dmitriy A., Valentina M. Domysheva, Maria V. Sakirko, Artem M. Shamrin und Mikhail V. Panchenko. „Methane in the atmosphere and surface water of Lake Baikal“. In 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, herausgegeben von Oleg A. Romanovskii und Gennadii G. Matvienko. SPIE, 2021. http://dx.doi.org/10.1117/12.2603722.

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Petrov, Dmitry V., Ivan I. Matrosov, Danila O. Sedinkin und Alexey R. Zaripov. „Raman spectra of n-pentane and isopentane in a methane environment“. In XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, herausgegeben von Oleg A. Romanovskii und Gennadii G. Matvienko. SPIE, 2017. http://dx.doi.org/10.1117/12.2286321.

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Berichte der Organisationen zum Thema "Atmospheric methane"

Strand, Stuart, Neil Bruce, Liz Rylott und Long Zhang. Phytoremediation of Atmospheric Methane. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada579442.

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Butenhoff, Christopher. Investigation of the sources and sinks of atmospheric methane. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.2807.

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Safta, Cosmin, Ray Bambha und Hope Michelsen. Estimating Regional Methane Emissions Through Atmospheric Measurements and Inverse Modeling. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1569345.

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Teama, Doaa. A 30-Year Record of the Isotopic Composition of Atmospheric Methane. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.642.

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Costigan, Keeley Rochelle, und Manvendra Krishna Dubey. Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain. Atmospheric Methane at Four Corners. Office of Scientific and Technical Information (OSTI), Juli 2015. http://dx.doi.org/10.2172/1193618.

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Lauvaux, Thomas. TA [2] Continuous, regional methane emissions estimates in northern Pennsylvania gas fields using atmospheric inversions. Office of Scientific and Technical Information (OSTI), Dezember 2017. http://dx.doi.org/10.2172/1417183.

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McFarlane, Karis J. Final Report for Wetlands as a Source of Atmospheric Methane: A Multiscale and Multidisciplinary Approach. Office of Scientific and Technical Information (OSTI), Oktober 2016. http://dx.doi.org/10.2172/1333394.

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Jacobson, A. R., J. B. Miller, A. Ballantyne, S. Basu, L. Bruhwiler, A. Chatterjee, S. Denning und L. Ott. Chapter 8: Observations of Atmospheric Carbon Dioxide and Methane. Second State of the Carbon Cycle Report. Herausgegeben von N. Cavallaro, G. Shrestha, R. Birdsey, M. A. Mayes, R. Najjar, S. Reed, P. Romero-Lankao und Z. Zhu. U.S. Global Change Research Program, 2018. http://dx.doi.org/10.7930/soccr2.2018.ch8.

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Barns, D., und J. Edmonds. An evaluation of the relationship between the production and use of energy and atmospheric methane emissions. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6970106.

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Bostrom, Gregory. Development of a Portable Cavity Ring-Down Spectroscopic Technique for Measuring Stable Isotopes in Atmospheric Methane. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.51.

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