An inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions

Shangguan, Qipei; Prody, Adam; Wirth, Taylor; Briggs, Ellen M.; Martz, Todd R.; DeGrandpre, Michael D.

doi:10.1016/j.marchem.2022.104085

Cited by 11 publications

(10 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another example for validation of in situ measurements based on redundant measurements and functional relationships, is described in both (Cullison Gray et al, 2011) and (Shangguan et al, 2022). They showed that the relationship between pH and other carbon measurements could be used for data quality control.…”

Section: Analytic Redundancy/modelling Surrogatesmentioning

confidence: 99%

Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors

et al. 2023

View full text Add to dashboard Cite

In this paper we give an overview of factors and limitations impairing deep-sea sensor data, and we show how automatic tests can give sensors self-validation and self-diagnostic capabilities. This work is intended to lay a basis for sophisticated use of smart sensors in long-term autonomous operation in remote deep-sea locations. Deep-sea observation relies on data from sensors operating in remote, harsh environments which may affect sensor output if uncorrected. In addition to the environmental impact, sensors are subject to limitations regarding power, communication, and limitations on recalibration. To obtain long-term measurements of larger deep-sea areas, fixed platform sensors on the ocean floor may be deployed for several years. As for any observation systems, data collected by deep-sea observation equipment are of limited use if the quality or accuracy (closeness of agreement between the measurement and the true value) is not known. If data from a faulty sensor are used directly, this may result in an erroneous understanding of deep water conditions, or important changes or conditions may not be detected. Faulty sensor data may significantly weaken the overall quality of the combined data from several sensors or any derived model. This is particularly an issue for wireless sensor networks covering large areas, where the overall measurement performance of the network is highly dependent on the data quality from individual sensors. Existing quality control manuals and initiatives for best practice typically recommend a selection of (near) real-time automated checks. These are mostly limited to basic and straight forward verification of metadata and data format, and data value or transition checks against pre-defined thresholds. Delayed-mode inspection is often recommended before a final data quality stamp is assigned.

show abstract

Section: Analytic Redundancy/modelling Surrogatesmentioning

confidence: 99%

Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Substantial advancements have been accomplished in the in situ sensing of CO 2 and pH; however, reliable in situ CO 3 2− sensing is still lacking. 27,28 It is crucial to develop highly selective, sensitive, and stable sensing devices capable of monitoring [CO 3 2− ] to study ocean acidification and understand how marine organisms respond. Carbonate sensors may also lead to advancements in biological applications (e.g., disease screening and personalized medicine) since carbonate is also present in clinical samples.…”

mentioning

confidence: 99%

Recent developments in ionophore-based potentiometric electrochemical sensors for oceanic carbonate detection

Toala,

Sun,

Yue

et al. 2024

Sens. Diagn.

View full text Add to dashboard Cite

show abstract

“…Instruments for pH and pCO 2 are available commercially from several vendors, but computing the other parameters (e.g. DIC and TA) from the pH and pCO 2 pairing leads to large errors [52][53][54][55][56]. Instruments for TA have recently become available, but there are currently no commercially available DIC instruments [41,52].…”

Section: Technological Gap 1: Ocean Inorganic Carbon Systemmentioning

confidence: 99%

“…DIC and TA) from the pH and pCO 2 pairing leads to large errors [52][53][54][55][56]. Instruments for TA have recently become available, but there are currently no commercially available DIC instruments [41,52]. DIC measurements are especially helpful because the DIC content does not change with temperature.…”

Section: Technological Gap 1: Ocean Inorganic Carbon Systemmentioning

confidence: 99%

“…Although it is possible to compute TA and DIC from measurements of pH and 𝑝𝐶𝑂 2 , the combination produces large errors due to the correlation between the parameters [55,56]. Instruments for TA have recently become commercially available, but there are no commercially available DIC instruments [41,52,234].…”

Section: A1 Room Temperature Bias Correction For Tdgp Sensormentioning

confidence: 99%

See 1 more Smart Citation

Developing in situ instrumentation to monitor anthropogenic change

Colson¹

View full text Add to dashboard Cite

To predict and mitigate anthropogenic impacts on the ocean, we must understand the underlying systems that govern the ocean’s response to inputs (e.g. carbon dioxide, pollutants). Analytical models can be used to generate predictions and simulate intervention strategies, but they must be grounded with empirical observations. Unfortunately, there exists a technological gap: in situ instrumentation is often lacking or nonexistent for key parameters influenced by anthropogenic inputs. While discrete bottle samples can be collected and analyzed for these parameters, their limited spatiotemporal resolution constrains scientific inquiry. To help fill the technological gap, this dissertation presents the development of instrumentation for the ocean inorganic carbon system and microplastics. The first few chapters present the development process of CSPEC, a deep-sea laser spectrometer designed to measure the ocean carbon system through alternating measurements of the partial pressure of carbon dioxide (pCO2) and dissolved inorganic carbon (DIC). CSPEC uses tunable diode laser absorption spectroscopy (TDLAS) to measure the CO2 content of dissolved gas extracted via a membrane inlet. Chapter 2 derives membrane equilibration dynamics from first principles, thus enabling informed design decisions. The analytical results showed that cross-sensitivity to other dissolved gases can be introduced by the equilibration method, regardless of the specificity of the gas-side instrumentation. A new method, hybrid equilibration, leverages the membrane equilibration dynamics to improve time response without incurring cross-sensitivity. Chapter 3 presents POCO, a surface pCO2 instrument that employs TDLAS and a depth-compatible membrane inlet. Through laboratory and field-testing, POCO demonstrated that hybrid equilibration overcame the gas flux limitation of deep-sea membrane inlets. Chapter 4 presents CSPEC, which successfully mapped the carbon system near different hydrothermal features at 2000 m in Guaymas Basin, becoming one of the first DIC instruments field-tested at depth. Chapter 5 introduces impedance spectroscopy for quantifying microplastics directly in water. Microplastics were successfully counted, sized, and differentiated from biology in the laboratory: a step toward in situ quantification. The analytical tools and measurement systems presented in this dissertation represent a significant step towards increasing the spatiotemporal resolution of carbon system and microplastic measurements, thus enabling broader scientific inquiry in the future.

show abstract

An inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions

Cited by 11 publications

References 80 publications

Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors

Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors

Recent developments in ionophore-based potentiometric electrochemical sensors for oceanic carbonate detection

Developing in situ instrumentation to monitor anthropogenic change

Contact Info

Product

Resources

About