Abstract

Abstract. The impact of the megacities of the world on global tropospheric ozone, and conversely, the extent to which megacities are influenced by emissions of ozone precursors from outside of the megacities is examined under the four alternative RCP ("Representative Concentration Pathway") emissions scenarios. Despite accounting for about 6% of present-day anthropogenic emissions of ozone precursor species, the contribution of emissions from megacities to global tropospheric ozone is calculated to be 0.84%. By 2100 this contribution falls to between 0.18% and 0.62% depending on the scenario, with the lower value being for the most-polluting of the four future emissions scenarios due to stringent controls on ozone precursor emissions from highly populated areas combined with a stronger tropospheric background ozone field. The higher end of this range is from the least-polluting of the four emissions scenarios, due to lower background tropospheric ozone combined with the use of a simpler downscaling methodology in the construction of the scenario, which results in higher emissions from megacities. Although the absolute impact of megacities on global ozone is small, an important result of this study is that under all future scenarios, future air quality in megacities is expected to be less influenced by local emissions within the cities, but instead more influenced by emission sources outside of the cities, with mixing ratios of background ozone projected to play an increasing role in megacity air quality throughout the 21st century. Assumptions made when downscaling the emissions scenarios onto the grids used in such modelling studies can have a large influence on these results; future generations of emissions scenarios should include spatially explicit representations or urban development suitable for air quality studies using global chemical transport models.

Highlights

  • It is estimated that in 2008, the urban population of the world exceeded the rural population for the first time in history, with this trend expected to continue (UNFPA, 2007)

  • Butler and Lawrence (2009) used a global, three dimensional transport model with interactive NMHC chemistry in order to investigate the effects of emissions from megacities on global atmospheric composition. They employed an “annihilation” methodology, in which the emissions from a set of pre-identified megacity grid cells were removed from the model emission inventory, altering the total global emissions of ozone precursor species

  • The global emissions datasets used in this study are derived from the RCP (Representative Concentration Pathway, Moss et al, 2010; van Vuuren et al, 2011a) emissions, which are used as input for the CMIP5 (Coupled Model Intercomparison Project, 5) study, which includes a set of coupled chemistry-climate simulations which will be used as input for the IPCC fifth assessment report, due to be published in 2013

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Summary

Introduction

It is estimated that in 2008, the urban population of the world exceeded the rural population for the first time in history, with this trend expected to continue (UNFPA, 2007). Taking a different approach, Lawrence et al (2007) used a global, three dimensional transport model to investigate the transport of pollutants away from megacities and other large population centres Their model did not include any atmospheric chemistry, but rather employed tracers with fixed lifetimes of 1, 10, and 100 days. Butler and Lawrence (2009) used a global, three dimensional transport model with interactive NMHC chemistry in order to investigate the effects of emissions from megacities on global atmospheric composition They employed an “annihilation” methodology, in which the emissions from a set of pre-identified megacity grid cells were removed from the model emission inventory, altering the total global emissions of ozone precursor species.

Global emission datasets
Identification of megacity emissions
Analysis of emissions
Modelling approach
Redistribution methodology
Global scale
Megacity grid cell scale
Megacity sensitivity to local emissions
Conclusions

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