CO2 sources and sinks in urban and suburban areas of a northern mid-latitude city
Research highlights
► CO2 fluxes were measured for a two-year period over agricultural, suburban and urban sites. ► Summer CO2 fluxes depended primarily on the biological component at the suburban site. ► CO2 emissions at the urban site were dominated by human activity all year round. ► The suburban and urban sites were net CO2 sources of about 50 and 200 t CO2 ha−1 year−1.
Introduction
Increasing attention is being focused on understanding the exchanges of heat, mass and momentum over cities; the roughness of urban areas can influence local climate and mesoscale phenomena, which in turn will affect the majority of the world’s population that now live in and around cities. At the same time, increasing computational power has allowed weather prediction and atmospheric dispersion models to act at finer spatial resolution and to incorporate detailed surface characteristics and turbulent exchange properties for different urban surfaces (industrial, downtown, urban, suburban, exurban). However, the development, calibration and validation of such models are limited by the small number of observational studies available in the literature. The Environmental Prediction in Canadian Cities (EPiCC) research network (www.epicc.uwo.ca) was established to provide observations of turbulent exchanges and surface characteristic using flux towers and remote sensing to test and couple the urban surface parameterisation scheme Town Energy Budget (Masson, 2000) to a Soil–Vegetation–Atmosphere Transfer model (Noilhan and Planton, 1989).
It is well stablished that urban form modifies the local climate such that heat islands are created (Oke, 1982) which in turn decrease human comfort and lead to increased energy costs for cooling for example. Vegetated areas have been shown to mitigate urban heat through evapotranspiration (e.g. Sailor, 1998), but less well studied is the relationship between urban vegetation cover and the reduction of urban CO2 emissions. Urban areas are major sources of CO2 emissions which in turn can affect the global C cycle and public health (Svirejeva-Hopkins et al., 2004, Tong and Soskolne, 2007). The net CO2 exchange from urban ecosystems results from the combination of emissions from fossil fuel burning and from sources and sinks of biological origin (Pataki et al., 2006). Net CO2 exchange depends on climate conditions, characteristics of the built environment and human behaviour; each regulating the temporal variability of biological (vegetation and animal metabolism) sources and sinks as well as fossil fuel emissions (Cervero and Murakami, 2010, Groffman et al., 2006, Holtzclaw et al., 2002, Matese et al., 2009, Sailor et al., 1998, Zegras, 2010). CO2 fluxes have been quantified for a limited number of cities around the world (Coutts et al., 2007, Grimmond et al., 2002, Grimmond et al., 2004, Moriwaki and Kanda, 2004, Velasco et al., 2005, Velasco et al., 2009, Velasco and Roth, 2010, Vogt et al., 2006), but less so in cities experiencing cold winters where emissions from heating can represent a major component of the CO2 budget (Jarvi et al., 2009, Nemitz et al., 2002). Such studies have typically focused on anthropogenic CO2 emissions from fossil fuel burning, and have neglected the role of vegetation. Hence, long-term observational studies reporting on the annual and seasonal variation of net CO2 exchanges as well as on the environmental drivers that can affect CO2 fluxes are still lacking, especially regarding the role of the vegetation in urban environments.
Micrometeorological techniques can be used to directly measure the integrated CO2 fluxes over local urban areas. The eddy covariance (EC) technique (Baldocchi, 2003) permits high temporal resolution measurements of CO2 exchange to be made continuously over multiple years to determine the diurnal, seasonal and annual variability over specific neighbourhoods of an urban landscape. The EC technique thus represents an ideal method to quantify the net CO2 exchange of specific urban ecosystems at different time scales and can be used to gain information on the response of CO2 fluxes to urban characteristics and environmental factors. These measurements can be used to evaluate inventories of CO2 emissions, estimates of vehicular traffic at short time scales, and remote sensing information to determine the contribution of different sources to the net CO2 exchange (Matese et al., 2009, Soegaard and Moller-Jensen, 2003, Velasco et al., 2005).
Montreal is the second largest city in Canada and is characterised as having a humid continental climate with cold, snowy winters and warm, humid summers. Montreal features diverse neighbourhood types from detached family suburban homes on grass and tree-covered lots to dense attached row housing with narrow alleyways; coupled with the wide range of environmental conditions experienced throughout the annual cycle, this city is an ideal location to study the relationship between CO2 fluxes, urban characteristics and environmental factors.
From fall 2007 to fall 2009, three EC flux towers monitored surface CO2 fluxes over agricultural, suburban and urban areas of the Montreal region as part of the EPiCC research network. This unique two-year dataset of CO2 fluxes over Montreal represents an exceptional opportunity to quantify the net CO2 exchange of residential areas subject to cold winters and to study the influence of environmental factors and human behaviour on CO2 fluxes at different time scales. The objective of the present study is to quantify the net CO2 exchange of residential areas of varying density in Montreal and to determine the role of vehicular traffic and biological sources and sinks on the net CO2 fluxes. Specific objectives of the study were: 1) to quantify the net CO2 exchanges of the three sites on daily to annual time scales; 2) to estimate the vehicular traffic CO2 emissions; 3) to determine the response of CO2 fluxes to temperature and light levels within each site; and 4) to determine the response of CO2 fluxes to directional surface cover fractions.
Section snippets
Site description
Three flux towers were deployed along an increasing urbanisation gradient that followed a west-to-east transect in the Montreal, Canada region. Site characteristics are listed in Table 1. More details can be found in Bergeron and Strachan (2010). Both the urban (URB) and suburban (SUB) sites were carefully selected to have an uninterrupted fetch extending to more than 1 km in all directions from the flux tower with relatively homogenous surface characteristics and flat topography, such that
Tower footprints and spatial heterogeneity
To assess the spatial representativeness of the measured CO2 flux, a footprint analysis was conducted. An inverse Lagrangian model (Kljun et al., 2004) was used to estimate the upwind distance of the source area contributing to 80% of the flux for each available data point and binned for 36, 10° sectors around SUB and URB towers using nighttime (Kin < 5 W m−2) and daytime summer (June–August) and winter (December–March) data. The estimated source areas correspond well with the 1 km radius used
Conclusions
This study reported on the annual net CO2 exchange of two residential areas in Montreal with different population and building densities using micrometeorological measurements along with estimates of vehicular traffic CO2 emissions. The less dense suburban site and the denser urban site were net sources of about 50 and 200 t CO2 ha−1 year−1, respectively. These annual estimates fall at both ends of the range of such published results. Lower emissions at the suburban site are attributed to the
Acknowledgements
This study was funded through a grant to Drs. J. Voogt and T.R. Oke and IBS by the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS). Post-doctoral funding to OB was provided by CFCAS. The authors wish to thank the assistance of Mitchell Lavoie for the estimates of vehicular traffic emissions, Olivier Gagnon (Environment Canada) for vehicular traffic profiles, as well as Dr. Jinfei Wang, Nick Lantz (University of Western Ontario) and Rosa Orlandini (McGill University’s Walter
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