Theoretical and Applied Climatology

, Volume 119, Issue 3–4, pp 733–755

Spatial source attribution of measured urban eddy covariance CO2 fluxes

Original Paper

Abstract

Interpretation of tower-based eddy covariance (EC) carbon dioxide flux (FC) measurements in urban areas is challenging because of the location bias of EC instruments. This bias results from EC point measurements taken above a complex CO2 source/sink surface that is spatially heterogeneous at scales approaching or exceeding those of the turbulent flux source areas. This makes it difficult to accomplish traditional measurement objectives such as calculating spatially unbiased ecosystem-wide cumulative FC totals or objectively comparing FC during different environmental conditions (e.g., day vs. night or seasonal differences). This study uses a multiyear FC dataset measured over a residential area of Vancouver, BC, Canada from a 30-m flux tower in close proximity to a busy traffic intersection on one side. The FC measurements are analyzed using surface geospatial data and turbulent flux source area models to exploit location bias to develop methods to statistically model individual emissions and uptake processes in terms of environmental controls and surface land cover. The empirical relations between controls and measured FC are used to spatially and temporally downscale individual CO2 emissions/uptake processes that are then used to create high-resolution maps (20 m) and calculate ecosystem-wide FC at temporal resolutions of 30 min to 1 year. At this site, the modeled ecosystem-wide annual net FC total is calculated as 6.42 kg C m−2 year−1 with traffic emissions estimated to account for 68.8 % of the total net emissions. Building sources contribute 27.9 %, respiration from soil and vegetation is 5.5 %, respiration from humans 5.0 %, and photosynthesis offsets are −7.2 % of the annual net total. The statistical models developed here are then tested by direct comparison to independent EC measurements using land cover scalings derived from 30-min source area models. Results are also scaled to ecosystem-averaged land cover to compare results to independent emissions/uptake models.

References

  1. ASHRAE (2004) Ventilation for acceptable indoor air quality. Technical report. American Society of Heating, Refrigeration, and Air-Conditioning Engineers, Inc.Google Scholar
  2. Aubinet M, Vesala T, Papale D (eds.) (2012) Eddy covariance: a practical guide to measurement and data analsysis. Springer Atmospheric SciencesGoogle Scholar
  3. Bates D, Watts D (1988) Nonlinear regression analysis and its applications, vol 2. Wiley Online LibraryGoogle Scholar
  4. Bergeron O, Strachan IB (2011) CO2 sources and sinks in urban and suburban areas of a northern mid-latitude city. Atmos Environ 45(8):1564–1573CrossRefGoogle Scholar
  5. Campbell GS, Norman JM (1998) Introduction to environmental biophysics. Springer VerlagGoogle Scholar
  6. Chen B, Black T, Coops N, Hilker T, Trofymow J, Morgenstern K (2009) Assessing tower flux footprint climatology and scaling between remotely sensed and eddy covariance measurements. Bound Layer Meteorol 130(2):137–167CrossRefGoogle Scholar
  7. Christen A, Coops N, Crawford B, Kellett R, Liss K, Olchovski I, Tooke T, van der Laan M, Voogt J (2011) Validation of modeled carbon-dioxide emissions from an urban neighborhood with direct eddy-covariance measurements. Atmos Environ 45(33):6057–6069CrossRefGoogle Scholar
  8. City of Vancouver (2012) Vanmap. http://vancouver.ca/your-government/vanmap.aspx. Accessed 29 May 2013
  9. Cleugh H, Oke T (1986) Suburban-rural energy balance comparisons in summer for Vancouver.Bound Layer Meteorol 6(4):351– 369CrossRefGoogle Scholar
  10. Counehan J (1971) Wind tunnel determination of the roughness length as a function of the fetch and the roughness density of three-dimensional roughness elements. Atmos Environ 5(8):637–642CrossRefGoogle Scholar
  11. Crawford B, Christen A (2012) Quantifying the CO2 storage flux term in urban eddy-covariance observations. In: 8th international conference on urban climates. DublinGoogle Scholar
  12. Crawford B, Christen A, Ketler R (2010) Eddy covariance data processing and quality control procedures, EPiCC Technical Report No. 1, p 11. https://circle.ubc.ca/handle/2429/45079
  13. Crawford B, Grimmond C, Christen A (2011) Five years of carbon dioxide fluxes measurements in a highly vegetated suburban area. Atmos Environ 45(4):896–905CrossRefGoogle Scholar
  14. Environment Canada (2013) http://www.climate.weatheroffice.gc.ca/Welcome_e.html. Accessed 29 May 2013
  15. Falge E, Baldocchi D, Tenhunen J, Aubinet M, Bakwin P, Berbigier P, Bernhofer C, Burba G, Clement R, Davis KJ et al (2002) Seasonality of ecosystem respiration and gross primary production as derived from fluxnet measurements. Agric For Meteorol 113(1):53–74CrossRefGoogle Scholar
  16. Goodwin N, Coops N, Tooke T, Christen A, Voogt J (2009) Characterizing urban surface cover and structure with airborne lidar technology. Can J Remote Sens 35(3):297–309CrossRefGoogle Scholar
  17. Grimmond C, King T, Cropley F, Nowak D, Souch C (2002) Local-scale fluxes of carbon dioxide in urban environments: methodological challenges and results from Chicago. Environ Pollut 116:243–254CrossRefGoogle Scholar
  18. Grimmond CSB, Oke TR (1991) An evapotranspiration-interception model for urban areas. Water Resour Res 27(7):1739–1755CrossRefGoogle Scholar
  19. Hiller RV, McFadden JP, Kljun N (2011) Interpreting CO2 fluxes over a suburban lawn: the influence of traffic emissions. Bound Layer Meteorol 138(2):215–230CrossRefGoogle Scholar
  20. Järvi L, Nordbo A, Junninen H, Riikonen A, Moilanen J, Nikinmaa E, Vesala T (2012) Seasonal and annual variation of carbon dioxide surface fluxes in Helsinki, in 2006–2010. Atmos Chem Phys 12:8475–8489CrossRefGoogle Scholar
  21. Kellett R, Christen A, Coops NC, van der Laan M, Crawford B, Tooke TR, Olchovski I (2012) A systems approach to carbon cycling and emissions modeling at an urban neighborhood scale. Landscape and urban planningGoogle Scholar
  22. Kordowski K, Kuttler W (2010) Carbon dioxide fluxes over an urban park area. Atmos Environ 44(23):2722–2730CrossRefGoogle Scholar
  23. Kormann R, Meixner F (2001) An analytical footprint model for non-neutral stratification. Bound Layer Meteorol 99(2):207–224CrossRefGoogle Scholar
  24. Kotthaus S, Grimmond C (2012) Identification of micro-scale anthropogenic CO2, heat and moisture sources—processing eddy covariance fluxes for a dense urban environment. Atmos Environ 57(301):e316Google Scholar
  25. Liss K, Crawford B, Christen A, Siemens C, Jassal R (2009) Ecosystem respiration of suburban lawns and its response to varying management and irrigation regimes. In: American meteorological society annual meeting. PhoenixGoogle Scholar
  26. Liss K, Tooke RNC, Christen A (2010) Vegetation characteristics at the Vancouver EPiCC experimental sites. EPiCC Technical Report No. 3. https://circle.ubc.ca/handle/2429/45078
  27. Lloyd J, Taylor J (1994) On the temperature dependence of soil respiration. Funct Ecol:315–323Google Scholar
  28. Lutsey N, Sperling D (2008) America’s bottom-up climate change mitigation policy. Energy Policy 36(2):673–685CrossRefGoogle Scholar
  29. Matese A, Gioli B, Vaccari F, Zaldei A, Miglietta F (2009) Carbon dioxide emissions of the city center of Firenze, Italy: measurement, evaluation, and source partitioning. J Appl Meteorol Climatol 48(9):1940–1947CrossRefGoogle Scholar
  30. Ministry of Transportation (2004) Greater Vancouver trip diary survey. Technical report, British Columbia ministry of transportationGoogle Scholar
  31. Moore C (1986) Frequency response corrections for eddy correlation systems. Bound Layer Meteorol 37(1):17–35CrossRefGoogle Scholar
  32. Moriwaki R, Kanda M (2004) Seasonal and diurnal fluxes of radiation, heat, water vapor, and carbon dioxide over a suburban area. J Appl Meteorol 43(11):1700–1710CrossRefGoogle Scholar
  33. Nemitz E, Hargreaves KJ, McDonald AG, Dorsey JR, Fowler D (2002) Micrometeorological measurements of the urban heat budget and CO2 emissions on a city scale. Environ Sci Tech 36(14):3139–3146CrossRefGoogle Scholar
  34. Nordbo A, Järvi L, Haapanala S, Wood CR, Vesala T (2012) Fraction of natural area as main predictor of net CO2 emissions from cities. Geophys Res Lett 39:L20802Google Scholar
  35. Nowak DJ (1996) Notes: estimating leaf area and leaf biomass of open-grown deciduous urban trees. For Sci 42(4):504–507Google Scholar
  36. Ögren E, Evans J (1993) Photosynthetic light-response curves. Planta 189(2):182–190CrossRefGoogle Scholar
  37. Pawlak W, Fortuniak K, Siedlecki M (2011) Carbon dioxide flux in the centre of Łódź, Poland—analysis of a 2-year eddy covariance measurement data set. Int J Climatol 31(2):232–243CrossRefGoogle Scholar
  38. Peters EB, McFadden JP (2012) Continuous measurements of net CO2 exchange by vegetation and soils in a suburban landscape. J Geophys Res 117:G03005Google Scholar
  39. Raupach M, Rayner P, Paget M (2010) Regional variations in spatial structure of nightlights, population density and fossil-fuel CO2 emissions. Energy Policy 38(9):4756–4764CrossRefGoogle Scholar
  40. Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, Bernhofer C, Buchmann N, Gilmanov T, Granier A et al (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Chang Biol 11(9):1424–1439CrossRefGoogle Scholar
  41. Reid K, Steyn D (1997) Diurnal variations of boundary-layer carbon dioxide in a coastal city—observations and comparison with model results. Atmos Environ 31(18):3101–3114CrossRefGoogle Scholar
  42. Roth M, Oke TR (1995) Relative efficiencies of turbulent transfer of heat, mass, and momentum over a patchy urban surface. J Atmos Sci 52:1863–1874CrossRefGoogle Scholar
  43. Sailor D, Lu L (2004) A top-down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas. Atmos Environ 38(17):2737–2748CrossRefGoogle Scholar
  44. Satterthwaite D (2008) Cities’ contribution to global warming: notes on the allocation of greenhouse gas emissions. Environ Urban 20(2):539–549CrossRefGoogle Scholar
  45. Schmid H (1994) Source areas for scalars and scalar fluxes. Bound Layer Meteorol 67(3):293–318CrossRefGoogle Scholar
  46. Schmid H, Lloyd C (1999) Spatial representativeness and the location bias of flux footprints over inhomogeneous areas. Agric For Meteorol 93(3):195–209CrossRefGoogle Scholar
  47. Schmid H, Cleugh H, Grimmond C, Oke T (1991) Spatial variability of energy fluxes in suburban terrain. Bound Layer Meteorol 54(3):249–276CrossRefGoogle Scholar
  48. Statistics Canada (2011) Census tract dissemination. http://www12.statcan.gc.ca/census-recensement/2011/geo/map-carte/ref/CT-SR-eng.cfm?PRCODE=59&CACODE=933. Accessed 29 May 2013
  49. Stewart ID, Oke TR (2012) Local climate zones for urban temperature studies. Bull Am Meteorol Soc 93(12):1879–1900CrossRefGoogle Scholar
  50. Steyn D, Faulkner D (1986) The climatology of sea-breezes in the lower fraser valley.Climatol Bull 20(3):21–39Google Scholar
  51. Teske ME, Thistle HW (2004) A library of forest canopy structure for use in interception modeling. For Ecol Manag 198(1):341– 350CrossRefGoogle Scholar
  52. Tooke T, Coops N, Goodwin N, Voogt J (2009) Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. Remote Sens Environ 113(2):398–407CrossRefGoogle Scholar
  53. UN (2011) World urbanization prospects, the 2011 revision. http://esa.un.org/unpd/wup/CD-ROM/Urban-Rural-Population.htm. Accessed 29 May 2013
  54. van der Laan M (2011) Scaling urban energy use and greenhouse gas emissions through LiDAR, Master’s thesis, University of British ColumbiaGoogle Scholar
  55. Velasco E, Roth M (2010) Cities as net sources of CO2: review of atmospheric CO2 exchange in urban environments measured by eddy covariance technique. Geogr Compass 4(9):1238–1259CrossRefGoogle Scholar
  56. Velasco E, Pressley S, Allwine E, Westberg H, Lamb B (2005) Measurements of CO2 fluxes from the Mexico City urban landscape. Atmos Environ 39(38):7433–7446CrossRefGoogle Scholar
  57. Velasco E, Roth M, Tan S, Quak M, Nabarro S, Norford L (2013) The role of vegetation in the CO2 flux from a tropical urban neighbourhood. Atmos Chem Phys Discuss 13:7267–7310CrossRefGoogle Scholar
  58. Villar R, Held AA, Merino J (1995) Dark leaf respiration in light and darkness of an evergreen and a deciduous plant species. Plant Phys 107(2):421–427Google Scholar
  59. Vogt R, Christen A, Rotach M, Roth M, Satyanarayana A (2006) Temporal dynamics of CO2 fluxes and profiles over a Central European city. Theor Appl Climatol 84(1):117–126CrossRefGoogle Scholar
  60. Walsh C (2005) Fluxes of radiation, energy, and carbon dioxide over a suburban area of Vancouver, Master’s thesis. Department of Geography, University of British ColumbiaGoogle Scholar
  61. Webb E, Pearman G, Leuning R (1980) Correction of flux measurements for density effects due to heat and water vapour transfer. Q J R Meteorol Soc 106(447):85–100CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Wien 2014

Authors and Affiliations

  1. 1.Department of GeographyUniversity of British ColumbiaVancouverCanada
  2. 2.Department of Geography / Atmospheric Science ProgramUniversity of British ColumbiaVancouverCanada

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