Estimation of sulphur dioxide emission rate from a power plant based on the remote sensing measurement with an imaging-DOAS instrument

Jihyo Chong; Young J. Kim; Jongho Baek; Hanlim Lee

doi:10.1117/12.2241775

19 October 2016 Estimation of sulphur dioxide emission rate from a power plant based on the remote sensing measurement with an imaging-DOAS instrument

Jihyo Chong, Young J. Kim, Jongho Baek, Hanlim Lee

Author Affiliations +

Proceedings Volume 10001, Remote Sensing of Clouds and the Atmosphere XXI; 1000112 (2016) https://doi.org/10.1117/12.2241775
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

Major anthropogenic sources of sulphur dioxide in the troposphere include point sources such as power plants and combustion-derived industrial sources. Spatially resolved remote sensing of atmospheric trace gases is desirable for better estimation and validation of emission from those sources. It has been reported that Imaging Differential Optical Absorption Spectroscopy (I-DOAS) technique can provide the spatially resolved two-dimensional distribution measurement of atmospheric trace gases. This study presents the results of I-DOAS observations of SO₂ from a large power plant. The stack plume from the Taean coal-fired power plant was remotely sensed with an I-DOAS instrument. The slant column density (SCD) of SO₂ was derived by data analysis of the absorption spectra of the scattered sunlight measured by an I-DOAS over the power plant stacks. Two-dimensional distribution of SO₂ SCD was obtained over the viewing window of the I-DOAS instrument. The measured SCDs were converted to mixing ratios in order to estimate the rate of SO₂ emission from each stack. The maximum mixing ratio of SO₂ was measured to be 28.1 ppm with a SCD value of 4.15×1017 molecules/cm². Based on the exit velocity of the plume from the stack, the emission rate of SO₂ was estimated to be 22.54 g/s. Remote sensing of SO₂ with an I-DOAS instrument can be very useful for independent estimation and validation of the emission rates from major point sources as well as area sources.

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Jihyo Chong, Young J. Kim, Jongho Baek, and Hanlim Lee "Estimation of sulphur dioxide emission rate from a power plant based on the remote sensing measurement with an imaging-DOAS instrument", Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 1000112 (19 October 2016); https://doi.org/10.1117/12.2241775

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KEYWORDS

Single crystal X-ray diffraction

Remote sensing

Sulfur

Data analysis

Gases

Absorption

Atmospheric monitoring

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