Abstract

Abstract. Cities represent a large and concentrated portion of global greenhouse gas emissions, including methane. Quantifying methane emissions from urban areas is difficult, and inventories made using bottom-up accounting methods often differ greatly from top-down estimates generated from atmospheric observations. Emissions from leaks in natural gas infrastructure are difficult to predict and are therefore poorly constrained in bottom-up inventories. Natural gas infrastructure leaks and emissions from end uses can be spread throughout the city, and this diffuse source can represent a significant fraction of a city's total emissions. We investigated diffuse methane emissions of the city of Indianapolis, USA, during a field campaign in May 2016. A network of five portable solar-tracking Fourier transform infrared (FTIR) spectrometers was deployed throughout the city. These instruments measure the mole fraction of methane in a total column of air, giving them sensitivity to larger areas of the city than in situ sensors at the surface. We present an innovative inversion method to link these total column concentrations to surface fluxes. This method combines a Lagrangian transport model with a Bayesian inversion framework to estimate surface emissions and their uncertainties, together with determining the concentrations of methane in the air flowing into the city. Variations exceeding 10 ppb were observed in the inflowing air on a typical day, which is somewhat larger than the enhancements due to urban emissions (<5 ppb downwind of the city). We found diffuse methane emissions of 73(±22) mol s−1, which is about 50 % of the urban total and 68 % higher than estimated from bottom-up methods, although it is somewhat smaller than estimates from studies using tower and aircraft observations. The measurement and model techniques developed here address many of the challenges present when quantifying urban greenhouse gas emissions and will help in the design of future measurement schemes in other cities.

Highlights

  • Methane (CH4) is a powerful greenhouse gas that is emitted to the atmosphere from both anthropogenic and natural sources (Montzka et al, 2011)

  • Urban areas, which represent the majority of global anthropogenic greenhouse gas emissions (Hopkins et al, 2016), contain a mix of sources

  • The goal of this paper is to quantify diffuse methane emissions from an urban area with improved natural gas infrastructure (Indianapolis) on a city-wide scale using a small network of total column sensors

Read more

Summary

Introduction

Methane (CH4) is a powerful greenhouse gas that is emitted to the atmosphere from both anthropogenic and natural sources (Montzka et al, 2011). Jones et al.: Indy methane of methane, including landfills, industrial facilities, and fugitive emissions associated with natural gas infrastructure and end use. These fugitive emissions are a significant source of methane in some cities (Townsend-Small et al, 2012; McKain et al, 2015; Chen et al, 2020), but their detection and quantification are difficult (Phillips et al, 2013; Brandt et al, 2014). Air entering the city has total column methane concentrations in excess of 1800 ppb, which can vary in time and space. The total column concentration is modeled as the sum of the background entering the domain and the enhancement due to local emissions

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call