SPECTROSCOPIC EFFECTS AND EDDY COVARIANCE CALCULATIONS OF METHANE FLUX G. Burba*, T. Anderson, D. McDermitt, A. Komissarov, L. Xu, B. Riensche, D. Allyn, and K. Ediger LI-COR Biosciences, Lincoln, N E, USA,*[email protected] INTRODUCTION • DENSITY EFFECTS • Eddy Covariance (EC) is one of the most accurate and direct methods to measure fluxes of H2O, CO2 and CH4 [1,2,3] • • Fluxes of CO2 and H2O are typically measured by EC using NDIR technology with compact low-power gas analyzers • CH4 flux studies cannot utilize NDIR, so CH4 gas analyzers use single-line or narrow-band laser spectroscopy • • Like CO2 and H2O, the CH4 density changes due to the flux itself, but also due to the air density changes related to temperature (T), water vapor (Q) and pressure (P) • • CH4, however, is measured by single-line or narrow-band lasers, and is also influenced by T, Q, and P, affecting spectroscopic properties of the absorption line • RELATING DENSITY & SPECTROSCOPIC EFFECTS Depending on the absorption line probed, spectroscopic effects may add or subtract from density effects, or may differ for T, Q, and P • CH4 density, μmol m-33 Examples below are for T and Q effects for the specific case of LI-7700 for CH4 density of 176 umol m-3 at initial conditions of 0oC and dry air constant volume: actual density does not change with T 200 190 Initial density 170 160 150 -40 -20 0 20 Temperature T, 0C 40 CH4 density, μmol m-3 180 DERIVATION OF TOTAL EFFECTS one can correct both effects by multiplying thermal expansion term in WPL by 1.3 • Or, if it is known that spectroscopic effect of Q is 40% of the density effect of Q, one can correct for both effects by multiplying dilution term in WPL by 1.4 • Over wide range of conditions, the relationships between spectroscopic and density 10 20 30 Water Vapor Q, ppT 40 effects for T and Q are complex, because at each point they depend on P (i) express actual mass density of gas qc in terms of measured density qcm (ii) express Q in terms of equivalent pressure Pe and water vapor line broadening (iii) construct 3D surface κ describing the relationships for wide range of T and P (iv) re-compute new WPL equation using qcm, Pe, and κ [4, 5, 9] κ Raw flux covariance, for density Flux corrected for both density and spectroscopic effects [4,5,9] Maximum of chamber flux range Minimum of chamber flux range -2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 3 Summer: maize field 15<T<38 °C 0 -3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Hour of the Day Effects are individual for each specific absorption line, highly dependent on measurement technique, and known from spectroscopy laws and HITRAN [7] • Spectroscopic effects influence measured gas density depending on fluctuations in T, Q and P KEY CONCEPT Fluxes corrected for both spectroscopic and density effects, as proposed above, did not significantly differ from zero or chambers in late fall (-0.11+/-0.19 mg m-2h-1) and summer (0.13+/-0.29 mg m-2h-1) Fast changes in T, Q, or P lead to: (i) gas density effects as per Ideal Gas Law and Partial Pressures Law (ii) spectroscopic effects as per spectroscopy laws and HITRAN So, if one can establish relationships between density effects and spectroscopic effects of T, Q and P respectively, one can incorporate the spectroscopic effects into WPL terms [4,5,9]. • • To compute correct CH4 flux, the raw flux covariance should be corrected for both density effects and spectroscopic effects Using physical relationships described before, the standard WPL equation correcting for just density effects becomes the modified equation correcting for both density effects and spectroscopic effects: Fc = B C ) • Please note that the only difference between the standard WPL equation and the modified equation correcting for both density effects and spectroscopic effects are the three multipliers: A, B and C [4, 5, 9] • At normal where • • • 2 0 • Fc = A( These derivations are made from the first principles and do not rely on empiricism: detailed description and step-by-step derivation is provided in [5, 9] SUMMARY AND CONCLUSIONS The proposed concept was tested at the field experimental site of the University of Nebraska-Lincoln, with multi-year history of chamberbased CH4 fluxes ranging from -0.12 to 0.13 mg m-2 h-1 [10] Flux corrected effects only [6] Spectroscopic effects are related to the changes in shape of the absorption line due to the changes in gas T, Q, and P [7,8] qc=qcmκ Effects of changing Q FIELD VALIDATION Late Fall: partially frozen bare soil 2<T<7 °C • • However, one can derive a single relatively simple equation for actual flux Fc : Effects of changing T constant pressure: measured density is reduced due to spectroscopic effects of Q on the absorption line, as expected from the spectroscopy and HITRAN Measured density When gas density is measured by laser spectroscopy, there are also spectroscopic effects affecting measured values, in addition to the density effects FULL EQUATION • In simple terms, if it is known that spectroscopic effect of T is 30% of the density effect, constant pressure: actual density is reduced due to water vapour dilution, as expected from the Law of Partial Pressures Initial density 170 0 Ensemble Averaged Hourly CH4 Flux, mg CH4 m-2 h-1 Thermal Expansion Term: computed from any fast air T measured nearby, at the same time as CH4 (this term is small in closed-path analyzers) constant volume: actual density does not change with Q 160 • Water DilutionTerm: computed from any fast H2O measured nearby, at the same time as CH4 Fc – final corrected flux; w - vertical wind speed; qc – gas density; μ− ratio of mol. masses of air to water; qd – dry air density; qv – H2O vapor density; ; T– air temperature in K; constant pressure: measured density is reduced due to spectroscopic effects of T on the absorption line, as expected from the spectroscopy and HITRAN Measured density The gas flux is usually corrected for the density effects using widelyused Webb-Pearman-Leuning terms [6]: Raw Flux Covariance: computed from vertical wind speed and CH4 density, or other gas of interest constant pressure: actual density is reduced due to temperature expansion, as expected from the Ideal Gas Law 180 These processes are described by the Ideal Gas Law and by the Law of Partial Pressures, and often are called density effects Fc = The proposed concept is tested on a low-power open-path high-speed gas analyzer, the LI-7700 (LI-COR, Lincoln, NE, USA [4,5,7]) • Measured changes in gas density happen due to gas flux itself, due to thermal expansion and contraction of the air, water vapor dilution, and pressure-related expansion and contraction • LI-7700 Here we propose a new concept to account for spectroscopic effects in the same way as Webb et al. (1980) accounted for respective density effects • SPECTROSCOPIC EFFECTS When EC flux is computed, the fast changes in gas density are correlated with the fast changes in vertical wind speed • • Reliable relationships were established between density effects and spectroscopic effects based on the first principles of Ideal Gas Law, Partial Pressures Law, spectroscopy laws and HITRAN Spectr0scopic effects were incorporated into WPL density terms, originally developed to compensate for the density effects Results were field-validated for cold and warm periods versus chamber measurements over a “zero-flux” experimental site The proposed approach allows the use of cost-effective low-power single-gas analyzers in EC flux measurements without the need for fast T, H2O, and P measurements inside the sampling cell conditions for LI-7700, the A ranges from 0.96 to 0.99, B ranges from 1.41 to 1.43, and C ranges from 1.32 to 1.34 • Multipliers A, B, C can be permanently programmed into flux processing code - please contact [email protected] for the detailed algorithm REFERENCES AND RESOURCES [1] Foken T., 2008. Micrometeorology. Springer-Verlag: 306 pp. [2] Lee X., W. Massman, and B. Law (Eds.), 2004. Handbook of Micrometeorology: A Guide for Surface Flux Measurement and Analysis. Kluwer Academic Publishers: 250 pp. [3] Burba G., and D. Anderson. 2010. A Brief Practical Guide to Eddy Covariance Flux Measurements: Principles and Workflow Examples for Scientific and Industrial Applications. LI-COR Biosciences: 211 pp. [4] McDermitt D., G. Burba, L. Xu, T. Anderson, A. Komissarov, J. Schedlbauer, D. Zona , W. Oechel, S. Oberbauer, G. Starr, and S. Hastings, 2011. A new low-power, open path instrument for measuring methane flux by Eddy Covariance. Applied Physics B: Lasers and Optics, 102(2): 391-405 [5] Miller T., and LI-7700 Team, 2010. LI-7700 Open-path CH4 Analyzer Instruction Manual. LI-COR Biosciences Publication No.984-10751, 170 pp. [6] Webb E.K., G. Pearman, and R. Leuning, 1980. Correction of flux measurements for density effects due to heat and water vapor transfer, Quarterly Journal of the Royal Meteorological Society, 106: 85-100 [7] Rothman L.S., I. E. Gordon, A. Barbe, D. C. Benner, P. F. Bernath, et al., 2009. The HITRAN 2008 molecular spectroscopic database. Journal of Quantitative Spectroscopy & Radiative Transfer, 110: 533-572 [8] Gharavi, M., and S. G. Buckley, 2005. Diode laser absorption spectroscopy measurement of linestregths and pressure broadening coefficients of the methane 2v3 band at elevated temperatures. Journal of Molecular Spectroscopy, 229: 78-88 [9] Burba G., D. McDermitt, A. Komissarov, L. Xu, B. Rienche, 2009. Method and Apparatus for Determining Gas Flux. Patent AU 2009292601 [10]Arkebauer, T. 2007-2010. Personal Communications. LI-COR is a registered trademark of LI-COR Inc. All other trademarks belong to their respective owners. ®
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