The fundamental equation of eddy covariance and its application in flux measurements

被引:52
|
作者
Gu, Lianhong [1 ]
Massman, William J. [2 ]
Leuning, Ray [3 ]
Pallardy, Stephen G. [4 ]
Meyers, Tilden [5 ]
Hanson, Paul J. [1 ]
Riggs, Jeffery S. [1 ]
Hosman, Kevin P. [4 ]
Yang, Bai [1 ]
机构
[1] Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37831 USA
[2] US Forest Serv, USDA, Rocky Mt Res Stn, Ft Collins, CO 80526 USA
[3] CSIRO Marine & Atmospher Res, Canberra, ACT 2601, Australia
[4] Univ Missouri, Dept Forestry, Columbia, MO 65211 USA
[5] NOAA, Atmospher Turbulence & Diffus Div, Air Resources Lab, Oak Ridge, TN 37830 USA
关键词
Fundamental equation of eddy covariance; WPL corrections; No net ecosystem source or sink of dry air; Effective change in storage; TRANSITIONAL TROPICAL FOREST; ECOSYSTEM CO2 EXCHANGE; WATER-VAPOR EXCHANGE; SEASONAL-VARIATIONS; CARBON; DENITRIFICATION; MISSOURI; DROUGHT; ISOTOPE; OXYGEN;
D O I
10.1016/j.agrformet.2011.09.014
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
A fundamental equation of eddy covariance (FQEC) is derived that allows the net ecosystem exchange (NEE) (N-s) over bar of a specified atmospheric constituent s to be measured with the constraint of conservation of any other atmospheric constituent (e.g. N-2, argon, or dry air). It is shown that if the condition |(N-s) over bar| >> |(chi(s)) over bar||(N-CO2) over bar| is true, the conservation of mass can be applied with the assumption of no net ecosystem source or sink of dry air and the FQEC is reduced to the following equation and its approximation for horizontally homogeneous mass fluxes: (N-s) over bar = (C-d) over bar(w'chi(s)') over bar|(h) + integral(h)(0)(C-d) over bar (z)(partial derivative chi(s)) over bar/partial derivative tdz + integral(h)(0)[(chi(s)) over bar (z) - (chi(s)) over bar (h)](partial derivative C-d) over bar/partial derivative d dz approximate to (C-d) over bar (h) {(w'chi(s)') over bar|(h) + integral(h)(0) (partial derivative chi(s)) over bar/partial derivative t dz}. Here w is vertical velocity, c molar density, t time, h eddy flux measurement height, z vertical distance and chi(s) C-s/C-d molar mixing ratio relative to dry air. Subscripts s, d and CO2 are for the specified constituent, dry air and carbon dioxide, respectively. Primes and overbars refer to turbulent fluctuations and time averages, respectively. This equation and its approximation are derived for non-steady state conditions that build on the steady-state theory of Webb, Pearman and Leuning (WPI.; Webb et al., 1980. Quart. J. R. Meteorol. Soc. 106,85-100), theory that is widely used to calculate the eddy fluxes of CO2 and other trace gases. The original WPL constraint of no vertical flux of dry air across the EC measurement plane, which is valid only for steady-state conditions, is replaced with the requirement of no net ecosystem source or sink of dry air for non-steady state conditions. This replacement does not affect the 'eddy flux' term (C-d) over bar(w'chi(s)') over bar but requires the change in storage to be calculated as the 'effective change in storage' as follows: integral 0h (partial derivative C-s) over bar/partial derivative t dz - (chi(s)) over bar (h) integral(h)(0) (partial derivative C-d) over bar/partial derivative t dz = integral(h)(0) (C-d) over bar (z)(partial derivative chi(s)) over bar/partial derivative t dz + integral 0h [(chi(s)) over bar (h)](partial derivative C-d) over bar/partial derivative t dz approximate to (C-d) over bar (h) integral(h)(0)(partial derivative chi(s)) over bar/partial derivative t dz. Without doing so, significant diurnal and seasonal biases may occur. We demonstrate that the effective change in storage can be estimated accurately with a properly designed profile of mixing ratio measurements made at multiple heights. However further simplification by using a single measurement at the EC instrumentation height is shown to produce substantial biases. It is emphasized that an adequately designed profile system for measuring the effective change in storage in proper units is as important as the eddy flux term for determining NEE. (C) 2011 Elsevier B.V. All rights reserved. When the EC instrumentation measures densities rather than mixing ratios, it is necessary to use: (N-s) over bar approximate to (w'C-s') over bar|(h) + (chi(s)) over bar[(w'C-v') over bar+(c) over bar(w'T') over bar/(T) over bar](h) + (C-d) over bar (h) integral(h)(0)(partial derivative chi(s)) over bar/partial derivative t dz. Here T is temperature and C-v and c are the molar densities of water vapor and moist air, respectively. For some atmospheric gas species such as N-2 and O-2, the condition |(N-s) over bar >> |(chi(s)) over bar||(N-CO2) over bar is not satisfied and additional information is needed in order to apply the EC technique with the constraint of conservation of dry air. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:135 / 148
页数:14
相关论文
共 50 条
  • [1] Characteristics of the relative sampling error and its application to flux aggregation in eddy covariance measurements
    Kim, Wonsik
    Seo, Hyeongho
    Komori, Daisuke
    Cho, Jaeil
    [J]. JOURNAL OF AGRICULTURAL METEOROLOGY, 2020, 76 (02) : 89 - 95
  • [2] Uncertainty in eddy covariance measurements and its application to physiological models
    Hollinger, DY
    Richardson, AD
    [J]. TREE PHYSIOLOGY, 2005, 25 (07) : 873 - 885
  • [3] Modelling random uncertainty of eddy covariance flux measurements
    Domenico Vitale
    Massimo Bilancia
    Dario Papale
    [J]. Stochastic Environmental Research and Risk Assessment, 2019, 33 : 725 - 746
  • [4] Modelling random uncertainty of eddy covariance flux measurements
    Vitale, Domenico
    Bilancia, Massimo
    Papale, Dario
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 33 (03) : 725 - 746
  • [5] On Frequency Response Corrections for Eddy Covariance Flux Measurements
    T. W. Horst
    [J]. Boundary-Layer Meteorology, 2000, 94 : 517 - 520
  • [6] Random uncertainties of flux measurements by the eddy covariance technique
    Rannik, Ullar
    Peltola, Olli
    Mammarella, Ivan
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2016, 9 (10) : 5163 - 5181
  • [7] On frequency response corrections for eddy covariance flux measurements
    Horst, TW
    [J]. BOUNDARY-LAYER METEOROLOGY, 2000, 94 (03) : 517 - 520
  • [8] Methane flux measurements in rice by static flux chamber and eddy covariance
    Reba, Michele L.
    Fong, Bryant N.
    Rijal, Ishara
    Adviento-Borbe, M. Arlene
    Chiu, Yin-Lin
    Massey, Joseph H.
    [J]. AGROSYSTEMS GEOSCIENCES & ENVIRONMENT, 2020, 3 (01)
  • [9] A robust data cleaning procedure for eddy covariance flux measurements
    Vitale, Domenico
    Fratini, Gerardo
    Bilancia, Massimo
    Nicolini, Giacomo
    Sabbatini, Simone
    Papale, Dario
    [J]. BIOGEOSCIENCES, 2020, 17 (06) : 1367 - 1391
  • [10] Disjunct eddy covariance technique for trace gas flux measurements
    Rinne, HJI
    Guenther, AB
    Warneke, C
    de Gouw, JA
    Luxembourg, SL
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (16) : 3139 - 3142