Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs

Werther, M; Odermatt, D; Simis, SGH; Gurlin, D; Jorge, DSF; Loisel, H; Hunter, PD; Tyler, AN; Spyrakos, E. 2022 Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs. ISPRS Journal of Photogrammetry and Remote Sensing, 190. 279-300. https://doi.org/10.1016/j.isprsjprs.2022.06.015

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Official URL: http://dx.doi.org/10.1016/j.isprsjprs.2022.06.015

Abstract/Summary

Carbon capture and storage is a key mitigation strategy proposed for keeping the global temperature rise below 1.5 ◦C. Offshore storage can provide up to 13% of the global CO2 reduction required to achieve the Intergovernmental Panel on Climate Change goals. The public must be assured that potential leakages from storage reservoirs can be detected and that therefore the CO2 is safely contained. We conducted a controlled release of 675 kg CO2 within sediments at 120 m water depth, to simulate a leak and test novel detection, quantification and attribution approaches. We show that even at a very low release rate (6 kg day− 1 ), CO2 can be detected within sediments and in the water column. Alongside detection we show the fluxes of both dissolved and gaseous CO2 can be quantified. The CO2 source was verified using natural and added tracers. The experiment demonstrates that existing technologies and techniques can detect, attribute and quantify any escape of CO2 from subseabed reservoirs as required for public assurance, regulatory oversight and emissions trading schemes.

Item Type: Publication - Article
Additional Keywords: CCS Detection Quantification Attribution North sea Marine
Divisions: Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications
Depositing User: S Hawkins
Date made live: 14 Jul 2022 14:14
Last Modified: 14 Jul 2022 14:14
URI: https://plymsea.ac.uk/id/eprint/9737

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