Abstract

Abstract. Fugitive emissions from waste disposal sites are important anthropogenic sources of the greenhouse gas methane (CH4). As a result of the growing world population and the recognition of the need to control greenhouse gas emissions, this anthropogenic source of CH4 has received much recent attention. However, the accurate assessment of the CH4 emissions from landfills by modeling and existing measurement techniques is challenging. This is because of inaccurate knowledge of the model parameters and the extent of and limited accessibility to landfill sites. This results in a large uncertainty in our knowledge of the emissions of CH4 from landfills and waste management. In this study, we present results derived from data collected during the research campaign COMEX (CO2 and MEthane eXperiment) in late summer 2014 in the Los Angeles (LA) Basin. One objective of COMEX, which comprised aircraft observations of methane by the remote sensing Methane Airborne MAPper (MAMAP) instrument and a Picarro greenhouse gas in situ analyzer, was the quantitative investigation of CH4 emissions. Enhanced CH4 concentrations or CH4 plumes were detected downwind of landfills by remote sensing aircraft surveys. Subsequent to each remote sensing survey, the detected plume was sampled within the atmospheric boundary layer by in situ measurements of atmospheric parameters such as wind information and dry gas mixing ratios of CH4 and carbon dioxide (CO2) from the same aircraft. This was undertaken to facilitate the independent estimation of the surface fluxes for the validation of the remote sensing estimates. During the COMEX campaign, four landfills in the LA Basin were surveyed. One landfill repeatedly showed a clear emission plume. This landfill, the Olinda Alpha Landfill, was investigated on 4 days during the last week of August and first days of September 2014. Emissions were estimated for all days using a mass balance approach. The derived emissions vary between 11.6 and 17.8 kt CH4 yr−1 with related uncertainties in the range of 14 to 45 %. The comparison of the remote sensing and in situ based CH4 emission rate estimates reveals good agreement within the error bars with an average of the absolute differences of around 2.4 kt CH4 yr−1 (±2. 8 kt CH4 yr−1). The US Environmental Protection Agency (EPA) reported inventory value is 11.5 kt CH4 yr−1 for 2014, on average 2.8 kt CH4 yr−1 (±1. 6 kt CH4 yr−1) lower than our estimates acquired in the afternoon in late summer 2014. This difference may in part be explained by a possible leak located on the southwestern slope of the landfill, which we identified in the observations of the Airborne Visible/Infrared Imaging Spectrometer – Next Generation (AVIRIS-NG) instrument, flown contemporaneously aboard a second aircraft on 1 day.

Highlights

  • Methane (CH4) is one of the most important anthropogenic greenhouse gases modulated by human activity

  • As this study investigates the use and ability of remote sensing measurements in the shortwave infrared (SWIR) region to determine emission rates, we focus on the data sets collected over the Olinda Alpha Landfill in the remaining paper

  • Remote sensing measurements over the Olinda Alpha Landfill were collected on 4 different days (27 and 28 August 2014, 1 and 3 September 2014) by the Methane Airborne MAPper (MAMAP) remote sensing instrument

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Summary

Introduction

Methane (CH4) is one of the most important anthropogenic greenhouse gases modulated by human activity. Several other studies used airborne-based in situ measurements to characterize the total emissions of landfills (e.g., Peischl et al, 2013; Lavoie et al, 2015, and references therein) In these studies different flight strategies and mass balance approaches were used. We present a data set collected by two different techniques, i.e., passive airborne remote sensing and airborne in situ cavity-ring-down spectroscopy (CRDS) They were used to investigate the ability of remote sensing measurements to determine emission rates and to independently estimate the emission rate of a particular landfill in the Los Angeles (LA) Basin on 4 different days in late summer 2014. The paper closes with a summary and conclusions (Sect. 5)

Measurements
Campaign and target description
Aircraft instrumentation and collected data sets
Flight strategy
Retrieval algorithms and calculation of emission rates
MAMAP retrieval algorithm and emission rate estimates
Uncertainties of estimated MAMAP remote sensing emission rates
Nonlinearity and associated negative XCH4 anomalies
In situ emission rate estimates by Picarro data
Uncertainties of estimated Picarro in situ emission rates
Retrieval of CH4 anomaly maps by AVIRIS-NG data
Emission rates from MAMAP remote sensing data
27 August 2014 28 August 2014 1 September 2014 3 September 2014
Uncertainties related to remote sensing based emission rates
Background
Emission rates from Picarro in situ data
Uncertainties related to in situ based emission rate estimates
CH4 anomaly maps obtained by the AVIRIS-NG instrument
Comparison of MAMAP remote sensing with Picarro in situ data
Qualitative comparison between MAMAP and AVIRIS-NG data
Comparisons with the EPA inventory
Assessment of emission rates of the other measured landfills
Summary and conclusions
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