Contributors | Affiliation | Role |
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Long, Matthew H. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator |
Charette, Matthew A. | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
Martin, William | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
McCorkle, Daniel C. | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset includes benthic chamber fluxes in O2, H+, DIC and TA.
Related Reference:
Long MH, Charette MA, Martin WR, McCorkle DC. (2015) Oxygen metabolism and pH in coastal ecosystems: Eddy Covariance Hydrogen ion and Oxygen Exchange System (ECHOES). Limnology and Oceanography: Methods. DOI: 10.1002/lom3.10038
Related Datasets:
The ECHOES system consisted of an Acoustic Doppler Velocimeter (ADV, Nortek, USA) that was coupled to a FirestingO2-Mini fiber-optic O2 meter with a fluorescence-based fast-response (< 0.3 s) 430 µm tip diameter optode (Pyroscience, GE) and a fast-response (< 0.6 s) H+ Ion-Selective Field Effect Transistor and controller (ISFET; Microsens, CH) (Figure 2). The ADV had the capability to log both external signals (O2 and H+) and also provided output power to the sensors.
The H+ ISFET sensors were adapted to EC by using a flow-through design across the sensing surface of the ISFET sensor (Figure 2). The ISFET sensors are light-sensitive and must therefore be used in a dark environment. To prevent light interference, and to sample in the same measuring volume as the other sensors, a 40 mm long section of 19 gauge (0.69 mm ID) stainless steel tube was attached to the ISFET sensor to create a micro-flow cell for measuring pH. One side of the tubing was machined flat over a 5 mm length and epoxied over the sensing surface of the ISFET (Figure 2). A Mag-Drive gear pump (Micropump, USA) was used to pull fluid from the measuring volume to the sensor at a flow rate of 0.1 L min-1. The pump was located in a separate underwater housing with a dedicated constant-voltage battery source. The O2 optode and the H+ ISFET sensor were co-located just outside the ~ 2 cm3 measuring volume of the ADV, located 0.15 m below the ADV sensor head. The height of the ADV measuring volume above the sediment surface was 0.30 m.
The H+ ISFET sensor works in conjunction with a reference electrode. The reference electrodes were constructed from 8mm outside diameter alkali-resistant glass (Schott, GE) with a micro-porous glass frit tip (Princeton Applied Research, USA), filled with a saturated solution of potassium chloride, and fitted with a silver chloride coated silver wire. The reference and ISFET sensors were pre-conditioned in seawater overnight to reduce equilibration time in the field. An ISFET controller (Microsens, CH) operated the ISFET at a constant drain-source voltage and current relative to the source voltage provided by the reference electrode (see Martz et al. 2010) and had an analog output of approximately 55mV per pH unit. To better resolve the signal it was amplified 50 times using a custom signal amplifier with an adjustable voltage offset (Alligator Technologies, USA).
The O2 optodes were calibrated pre- and post-deployment using water-saturated air and saturated ascorbic acid solution (anoxic). A reference, or baseline, fluorescence signal was automatically subtracted from each O2 measurement by the Firesting O2 meter to remove any signal contributions due to ambient light variations. The fiber optic cable was securely fastened to the frame with tape throughout its length to prevent signal bias due to cable movement.
The ADV provided power for and logged the signal from both the H+ ISFET and the O2 optode at a frequency of 64 Hz. All instrumentation was mounted to a custom carbon-fiber frame with small-diameter legs (1 cm) to limit hydrodynamic interference. The lightweight construction allowed for ease of handling but each frame leg needed to be weighted and secured using anchors.
MATLAB code was developed to calculate the EC fluxes. Several data treatment procedures were tested; most of them were adapted from commonly used calculation procedures for terrestrial eddy covariance measurements (e.g. Baldocchi et al. 2003). The flux was determined over periods of 0.25 h. Data were averaged to 8Hz for flux calculations due to the ~ 10 Hz sample output refresh rate of the O2 optode meter. The fluctuating components of the vertical velocity, O2 and H+ (Eq. 1), were determined by Reynolds decomposition with the means determined by a running average window of 5 minutes, which was identified to be the optimal time period for maintaining a constant flux signal while removing non-turbulent fluctuations (McGinnis et al. 2008).
Inherent in the high-frequency ADV velocity data were anomalous spikes that contaminated the EC signal. These velocity data spikes were replaced with interpolated data using existing MATLAB de-spiking procedures described by Goring and Nikora (2002) that resulted in the interpolation of <1 % of the vertical velocities used to calculate the flux. The ECHOES H+ and O2 signals were compared to the water column data sonde measurements to verify that the sensors had not malfunctioned by confirming that the real-time correlation between sensors and data sonde matched that of the overall correlation (i.e. the calibration curves). All signals were then examined manually to remove any further data spikes that were due to malfunction, fouling, or debris contacting the sensors. A GoPro camera (HERO2, GoPro, USA) on the ECHOES frame helped identify fouling of the sensors. Due to the difficulty of accurately leveling the instrument in the field, and the resulting potential to bias the vertical velocity measurements, a planar rotation was used based on the methods described by Lorke et al. (2013) that uses an average rotation angle for the different current directions.
The benthic chamber fluxes were calculated from the change in O2, H+, DIC and TA concentrations in the chambers through time, using the known volume and sediment surface area of the chamber. Corrections for the removal of water for DIC and TA samples were included to account for the influx of ambient water, utilizing the measured water column conditions.
BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date, reference information
- renamed parameters to BCO-DMO standard
- reformatted date
- combined multiple tables and sorted all by time
File |
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flux_data.csv (Comma Separated Values (.csv), 2.79 KB) MD5:1d5b9bbdb5154cfd7ac62ef13eafdbc8 Primary data file for dataset ID 568429 |
Parameter | Description | Units |
hour | Hour of day: mid-time for each flux analysis period. 14.00 = 2:00 pm | decimal time |
O2_flux_chamber | Chamber oxygen Flux | mmol oxygen m-2 h-1 |
pH_flux_chamber | Chamber pH Flux | mmol H+ m-2 h-1 |
Eddy_covar_pH_flux | Eddy covariance pH flux | mmol H+ m-2 h-1 |
Eddy_covar_O2_flux | Eddy covariance Oxygen flux | mmol oxygen m-2 h-1 |
DIC | Dissolved inorganic carbon | umol L-1 |
DIC_stdev | standard deviation | umol L-1 |
TALK | Total alkalinity | umol L-1 |
TALK_stdev | standard deviation | umol L-1 |
Dataset-specific Instrument Name | ADV |
Generic Instrument Name | Acoustic Doppler Velocimeter |
Dataset-specific Description | Acoustic Doppler Velocimeter |
Generic Instrument Description | ADV is the acronym for acoustic doppler velocimeter. The ADV is a remote-sensing, three-dimensional velocity sensor. Its operation is based on the Doppler shift effect. The sensor can be deployed either as a moored instrument or attached to a still structure near the seabed.
Reference:
G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2 |
Dataset-specific Instrument Name | Oxygen Optode |
Generic Instrument Name | Optode |
Dataset-specific Description | FirestingO2-Mini fiber-optic O2 meter with a fluorescence-based fast-response (< 0.3 s) 430 um tip diameter optode (Pyroscience, GE) |
Generic Instrument Description | An optode or optrode is an optical sensor device that optically measures a specific substance usually with the aid of a chemical transducer. |
Dataset-specific Instrument Name | ISFET |
Generic Instrument Name | pH Sensor |
Dataset-specific Description | Fast-response (< 0.6 s) H1 Ion-Selective Field Effect Transistor (ISFET) and controller (Microsens, CH) |
Generic Instrument Description | An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). |
Dataset-specific Instrument Name | multi-sensor data sonde |
Generic Instrument Name | Water Quality Multiprobe |
Dataset-specific Description | Multi-sensor data sonde (MS5; Hydrolab) |
Generic Instrument Description | An instrument which measures multiple water quality parameters based on the sensor configuration. |
Website | |
Platform | WHOI |
Start Date | 2014-06-25 |
Description | Measurements of the exchange of oxygen and hydrogen ions across the sediment-water interface. |
An aquatic eddy covariance (EC) system was developed to measure the exchange of oxygen (O2) and hydrogen ions (H+) across the sediment-water interface. The system employs O2 optodes and a newly developed micro-flow cell H+ ion selective field effect transistor; these sensors displayed sufficient precision and rapid enough response times to measure concentration changes associated with turbulent exchange. Discrete samples of total alkalinity and dissolved inorganic carbon (DIC) were used to determine the background carbonate chemistry of the water column and relate the O2 and H+ fluxes to benthic processes. The ECHOES system was deployed in a eutrophic estuary (Waquoit Bay, Massachusetts, USA), and revealed that the benthos was a sink for acidity during the day and a source of acidity during the night, with H+ and O2 fluxes of ± 0.0001 and ± 10 mmol m-2 h-1, respectively. H+ and O2 fluxes were also determined using benthic flux chambers, for comparison with the EC rates. Chamber fluxes determined in 0.25 h intervals co-varied with EC fluxes but were ~4 times lower in magnitude. This difference was likely due to suppressed porewater advection in the chambers and changes in the chemistry of the enclosed chamber overlying water. The individual H+ and O2 fluxes were highly correlated in each data set (EC and chambers), and both methods yielded H+ fluxes that could not be explained by O2 metabolism alone. The ECHOES system provides a new tool for determining the influence of benthic biogeochemical cycling on coastal ocean acidification and carbon cycling.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |