| 1. |
- Atamanchuk, Dariia, 1987, et al.
(författare)
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Detection of CO2 leakage from a simulated sub-seabed storage site using three different types of pCO2 sensors
- 2015
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Ingår i: International Journal of Greenhouse Gas Control. - : Elsevier BV. - 1750-5836. ; 38, s. 121-134
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Tidskriftsartikel (refereegranskat)abstract
- This work is focused on results from a recent controlled sub-seabed in situ carbon dioxide (CO2) releaseexperiment carried out during May–October 2012 in Ardmucknish Bay on the Scottish west coast. Threetypes of pCO2sensors (fluorescence, NDIR and ISFET-based technologies) were used in combination withmultiparameter instruments measuring oxygen, temperature, salinity and currents in the water columnat the epicentre of release and further away. It was shown that distribution of seafloor CO2 emissionsfeatures high spatial and temporal heterogeneity. The highest pCO2values (∼1250 atm) were detectedat low tide around a bubble stream and within centimetres distance from the seafloor. Further up in thewater column, 30–100 cm above the seabed, the gradients decreased, but continued to indicate elevatedpCO2at the epicentre of release throughout the injection campaign with the peak values between 400and 740atm. High-frequency parallel measurements from two instruments placed within 1 m fromeach other, relocation of one of the instruments at the release site and 2D horizontal mapping of therelease and control sites confirmed a localized impact from CO2emissions. Observed effects on the watercolumn were temporary and post-injection recovery took <7 days.A multivariate statistical approach was used to recognize the periods when the system was dominatedby natural forcing with strong correlation between variation in pCO2and O2, and when it was influencedby purposefully released CO2.Use of a hydrodynamic circulation model, calibrated with in situ data, was crucial to establishingbackground conditions in this complex and dynamic shallow water system.
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| 2. |
- Müller, Jens Daniel, et al.
(författare)
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Cyanobacteria net community production in the Baltic Sea as inferred from profiling pCO2 measurements
- 2021
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Ingår i: Biogeosciences. - : European Geosciences Union (EGU). - 1726-4170 .- 1726-4189. ; 18:17, s. 4889-4917
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Tidskriftsartikel (refereegranskat)abstract
- Organic matter production by cyanobacteria blooms is a major environmental concern for the Baltic Sea, as it promotes the spread of anoxic zones. Partial pressure of carbon dioxide (pCO2) measurements carried out on Ships of Opportunity (SOOP) since 2003 have proven to be a powerful tool to resolve the carbon dynamics of the blooms in space and time. However, SOOP measurements lack the possibility to directly constrain depth-integrated net community production (NCP) in moles of carbon per surface area due to their restriction to the sea surface. This study tackles the knowledge gap through (1) providing an NCP best guess for an individual cyanobacteria bloom based on repeated profiling measurements of pCO2 and (2) establishing an algorithm to accurately reconstruct depth-integrated NCP from surface pCO2 observations in combination with modelled temperature profiles.Goal (1) was achieved by deploying state-of-the-art sensor technology from a small-scale sailing vessel. The low-cost and flexible platform enabled observations covering an entire bloom event that occurred in July–August 2018 in the Eastern Gotland Sea. For the biogeochemical interpretation, recorded pCO2 profiles were converted to C∗T, which is the dissolved inorganic carbon concentration normalised to alkalinity. We found that the investigated bloom event was dominated by Nodularia and had many biogeochemical characteristics in common with blooms in previous years. In particular, it lasted for about 3 weeks, caused a C∗T drawdown of 90 µmol kg−1, and was accompanied by a sea surface temperature increase of 10 ∘C. The novel finding of this study is the vertical extension of the C∗T drawdown up to the compensation depth located at around 12 m. Integration of the C∗T drawdown across this depth and correction for vertical fluxes leads to an NCP best guess of ∼1.2 mol m−2 over the productive period.Addressing goal (2), we combined modelled hydrographical profiles with surface pCO2 observations recorded by SOOP Finnmaid within the study area. Introducing the temperature penetration depth (TPD) as a new parameter to integrate SOOP observations across depth, we achieve an NCP reconstruction that agrees to the best guess within 10 %, which is considerably better than the reconstruction based on a classical mixed-layer depth constraint.Applying the TPD approach to almost 2 decades of surface pCO2 observations available for the Baltic Sea bears the potential to provide new insights into the control and long-term trends of cyanobacteria NCP. This understanding is key for an effective design and monitoring of conservation measures aiming at a Good Environmental Status of the Baltic Sea.
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