Quantification of methane emission rates from coal mine ventilation shafts using airborne remote sensing data

T. Krings, Konstantin Gerilowski, Michael Buchwitz, Jörg Hartmann, Torsten Sachs, J. Erzinger, H. Bovensmann

Atmospheric measurement techniques · 2013 · 103 citations · 18 references

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TL;DR

Methane emission quantification is critical for climate attribution, yet existing measurement systems are inadequate for accurately assessing localized point sources such as landfills and fossil fuel sites. The study demonstrates and evaluates the utility of MAMAP data for quantifying methane emissions from point sources by surveying two coal mine ventilation shafts in western Germany. Using the upgraded MAMAP airborne methane mapper, which provides ~0.4 % precision in column‑averaged dry air mole fractions, the authors retrieved emissions via an optimal estimation inverse Gaussian plume model, incorporating turbulence probe data to refine wind inputs. Retrieved methane emissions matched in‑situ analyser data, yielding an inferred rate of 50.4 kt CH4 yr⁻¹ that is within 1 % of official mine reports, with an uncertainty of about ±13.5 %. Abstract.

Abstract

Abstract. The quantification of emissions of the greenhouse gas methane is essential for attributing the roles of anthropogenic activity and natural phenomena in global climate change. Our current measurement systems and networks, whilst having improved during the last decades, are deficient in many respects. For example, the emissions from localised and point sources such as landfills or fossil fuel exploration sites are not readily assessed. A tool developed to better understand point sources of the greenhouse gases carbon dioxide and methane is the optical remote sensing instrument MAMAP (Methane airborne MAPper), operated from aircraft. After a recent instrument modification, retrievals of the column-averaged dry air mole fractions for methane XCH4 (or for carbon dioxide XCO2) derived from MAMAP data have a precision of about 0.4% or better and thus can be used to infer emission rate estimates using an optimal estimation inverse Gaussian plume model or a simple integral approach. CH4 emissions from two coal mine ventilation shafts in western Germany surveyed during the AIRMETH 2011 measurement campaign are used as examples to demonstrate and assess the value of MAMAP data for quantifying CH4 from point sources. While the knowledge of the wind is an important input parameter in the retrieval of emissions from point sources and is generally extracted from models, additional information from a turbulence probe operated on-board the same aircraft was utilised to enhance the quality of the emission estimates. Although flight patterns were optimised for remote sensing measurements, data from an in situ analyser for CH4 were found to be in good agreement with retrieved dry columns of CH4 from MAMAP and could be used to investigate and refine underlying assumptions for the inversion procedures. With respect to the total emissions of the mine at the time of the overflight, the inferred emission rate of 50.4 kt CH4 yr−1 has a difference of less than 1% compared to officially reported values by the mine operators, while the uncertainty, which reflects variability of the sources and conditions as well as random and systematic errors, is about ±13.5%.

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