Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations
Differential absorption lidar (DIAL) has been shown to be a very effective technique for the location and quantification of emissions of pollutants and greenhouse gases at industrial facilities. Several field trials have demonstrated the DIAL system performances and contributed to the development of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/17/4291 |
| _version_ | 1797493340095119360 |
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| author | Fabrizio Innocenti Tom Gardiner Rod Robinson |
| author_facet | Fabrizio Innocenti Tom Gardiner Rod Robinson |
| author_sort | Fabrizio Innocenti |
| collection | DOAJ |
| description | Differential absorption lidar (DIAL) has been shown to be a very effective technique for the location and quantification of emissions of pollutants and greenhouse gases at industrial facilities. Several field trials have demonstrated the DIAL system performances and contributed to the development of the DIAL methodology, which is the basis of the protocols described in the European Standard EN 17628. While numerous papers have focused on different aspects of DIAL uncertainties, a rigorous propagation of the uncertainties in the DIAL equation has not been found. In this study, all the uncertainty sources contributing to a DIAL concentration measurement are assessed and the impact they have on the calculation of the mass emission rate. We derive the equations for both a DIAL system path-concentration integral and concentration uncertainties. The results from a methane measurement are presented, showing that for a signal to noise ratio on the backscattered lidar signals of 500, the path-concentration integral standard uncertainty is 2.3 ppb km and the concentration standard uncertainty is 92 ppb over a sampling spacing of 45 m. An equation is also presented enabling calculation of the contribution of the concentration uncertainty to the mass emission rate uncertainty. |
| first_indexed | 2024-03-10T01:18:57Z |
| format | Article |
| id | doaj.art-5a1fca1aaa8c4cb1bf8d4bdf80eae60a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T01:18:57Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5a1fca1aaa8c4cb1bf8d4bdf80eae60a2023-11-23T14:04:09ZengMDPI AGRemote Sensing2072-42922022-08-011417429110.3390/rs14174291Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions ConcentrationsFabrizio Innocenti0Tom Gardiner1Rod Robinson2National Physical Laboratory (NPL), Hampton Road, Teddington TW11 0LW, Middlesex, UKNational Physical Laboratory (NPL), Hampton Road, Teddington TW11 0LW, Middlesex, UKNational Physical Laboratory (NPL), Hampton Road, Teddington TW11 0LW, Middlesex, UKDifferential absorption lidar (DIAL) has been shown to be a very effective technique for the location and quantification of emissions of pollutants and greenhouse gases at industrial facilities. Several field trials have demonstrated the DIAL system performances and contributed to the development of the DIAL methodology, which is the basis of the protocols described in the European Standard EN 17628. While numerous papers have focused on different aspects of DIAL uncertainties, a rigorous propagation of the uncertainties in the DIAL equation has not been found. In this study, all the uncertainty sources contributing to a DIAL concentration measurement are assessed and the impact they have on the calculation of the mass emission rate. We derive the equations for both a DIAL system path-concentration integral and concentration uncertainties. The results from a methane measurement are presented, showing that for a signal to noise ratio on the backscattered lidar signals of 500, the path-concentration integral standard uncertainty is 2.3 ppb km and the concentration standard uncertainty is 92 ppb over a sampling spacing of 45 m. An equation is also presented enabling calculation of the contribution of the concentration uncertainty to the mass emission rate uncertainty.https://www.mdpi.com/2072-4292/14/17/4291DIALindustrial pollutantsGHGmethaneuncertainty |
| spellingShingle | Fabrizio Innocenti Tom Gardiner Rod Robinson Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations Remote Sensing DIAL industrial pollutants GHG methane uncertainty |
| title | Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations |
| title_full | Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations |
| title_fullStr | Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations |
| title_full_unstemmed | Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations |
| title_short | Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations |
| title_sort | uncertainty assessment of differential absorption lidar measurements of industrial emissions concentrations |
| topic | DIAL industrial pollutants GHG methane uncertainty |
| url | https://www.mdpi.com/2072-4292/14/17/4291 |
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