Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres
With the increasing trend in the global average temperature, the UK’s water industry has committed to achieve Net Zero by 2030 and part of this includes cutting CH<sub>4</sub> emissions from sludge treatment facilities. Currently, emissions are estimated following the carbon accounting w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/15/3704 |
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| author | Hiniduma Gamage Kavindi Abeywickrama Yadira Bajón-Fernández Bharanitharan Srinamasivayam Duncan Turner Mónica Rivas Casado |
| author_facet | Hiniduma Gamage Kavindi Abeywickrama Yadira Bajón-Fernández Bharanitharan Srinamasivayam Duncan Turner Mónica Rivas Casado |
| author_sort | Hiniduma Gamage Kavindi Abeywickrama |
| collection | DOAJ |
| description | With the increasing trend in the global average temperature, the UK’s water industry has committed to achieve Net Zero by 2030 and part of this includes cutting CH<sub>4</sub> emissions from sludge treatment facilities. Currently, emissions are estimated following the carbon accounting workbook guidelines and using default emission factors. However, this method might not be a true representation of emissions as these vary depending on many factors. The use of unmanned aerial vehicles (UAVs) has proved cost effective for environmental monitoring tasks requiring high spatial resolution information. Within the context of CH<sub>4</sub> emissions and in the last decade, the technology has been curtailed by sensor weight and size. Recent advances in sensor technology have enabled the development of a fit-for purpose UAV CH<sub>4</sub> sensor (U10) which uses Tuneable Diode Laser Absorption Spectroscopy. This study intends to develop a framework for CH<sub>4</sub> data collection strategies from sludge treatment centres using UAV-U10 technology and asset level CH<sub>4</sub> enhancement estimations based on geostatistical interpolation techniques and the mass balance approach. The framework presented here enables the characterization of spatial and temporal variations in CH<sub>4</sub> concentrations. It promotes asset level CH<sub>4</sub> enhancement estimation based on on-site measurements. |
| first_indexed | 2024-03-11T00:18:48Z |
| format | Article |
| id | doaj.art-d1882369a164434aacf9eda2b2aefc78 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T00:18:48Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d1882369a164434aacf9eda2b2aefc782023-11-18T23:29:42ZengMDPI AGRemote Sensing2072-42922023-07-011515370410.3390/rs15153704Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment CentresHiniduma Gamage Kavindi Abeywickrama0Yadira Bajón-Fernández1Bharanitharan Srinamasivayam2Duncan Turner3Mónica Rivas Casado4School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UKSchool of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UKSevern Trent Water, 2 St Johns St, Coventry CV1 2LZ, UKSevern Trent Water, 2 St Johns St, Coventry CV1 2LZ, UKSchool of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UKWith the increasing trend in the global average temperature, the UK’s water industry has committed to achieve Net Zero by 2030 and part of this includes cutting CH<sub>4</sub> emissions from sludge treatment facilities. Currently, emissions are estimated following the carbon accounting workbook guidelines and using default emission factors. However, this method might not be a true representation of emissions as these vary depending on many factors. The use of unmanned aerial vehicles (UAVs) has proved cost effective for environmental monitoring tasks requiring high spatial resolution information. Within the context of CH<sub>4</sub> emissions and in the last decade, the technology has been curtailed by sensor weight and size. Recent advances in sensor technology have enabled the development of a fit-for purpose UAV CH<sub>4</sub> sensor (U10) which uses Tuneable Diode Laser Absorption Spectroscopy. This study intends to develop a framework for CH<sub>4</sub> data collection strategies from sludge treatment centres using UAV-U10 technology and asset level CH<sub>4</sub> enhancement estimations based on geostatistical interpolation techniques and the mass balance approach. The framework presented here enables the characterization of spatial and temporal variations in CH<sub>4</sub> concentrations. It promotes asset level CH<sub>4</sub> enhancement estimation based on on-site measurements.https://www.mdpi.com/2072-4292/15/15/3704sludge treatment centreUAVopen-path TDLASenhancement estimation |
| spellingShingle | Hiniduma Gamage Kavindi Abeywickrama Yadira Bajón-Fernández Bharanitharan Srinamasivayam Duncan Turner Mónica Rivas Casado Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres Remote Sensing sludge treatment centre UAV open-path TDLAS enhancement estimation |
| title | Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres |
| title_full | Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres |
| title_fullStr | Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres |
| title_full_unstemmed | Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres |
| title_short | Development of a UAV Based Framework for CH<sub>4</sub> Monitoring in Sludge Treatment Centres |
| title_sort | development of a uav based framework for ch sub 4 sub monitoring in sludge treatment centres |
| topic | sludge treatment centre UAV open-path TDLAS enhancement estimation |
| url | https://www.mdpi.com/2072-4292/15/15/3704 |
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