Contributors | Affiliation | Role |
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Murray, James W. | University of Washington (UW) | Principal Investigator, Contact |
Yigiterhan, Oguz | Qatar University (QU) | Co-Principal Investigator |
Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Hydrographic, nutrient and carbonate system data was collected aboard the R/V Janan on two single day cruises in the Arabian Gulf.
Sampling
Water column sampling using rosette mounted 10-L PVC Niskin bottles was conducted on December 5, 2018 and May 18, 2019 in the Arabian Gulf on the R/V Janan (Figure 1). Surface water samples and hydrographic data were collected at seven stations (stations 1C, 2C, 3C, 4C, 5C, 6B, 6C) along a transect from the central east coast of Qatar across the Qatari Exclusive Economic Zone (EEZ). Stations were chosen to be nearly perpendicular to the major axis of the Gulf to capture main regional hydrographic features across the EEZ. The transect provides a reasonable representation of hydrographic distributions across the wider part of the Gulf. Samples were collected in triplicate at each station. Vertical profiles with one surface sample, one bottom sample, and 1 to 3 mid-depth samples were collected at stations 2C, 4C, 6B, and 6C.
Samples for DIC and total alkalinity were collected in 300 mL Wheaton BOD glass bottles with ground glass stoppers. Samples were sealed immediately after collection to prevent loss of CO2. Samples were poisoned with 50 µL HgCl2 (0.05% by volume) to prevent biological activity, then covered with aluminum foil to eliminate light and biological growth.
Analysis
The best approach for understanding ocean acidification is to measure the primary capacity factors of the carbonate system chemistry which are dissolved inorganic carbon (DIC) and total alkalinity (TAlk). DIC and alkalinity are the best set of parameters use for calculating pH, pCO2 and carbonate ion, because they are conservative properties during water mass mixing.
After collection, samples were shipped to the University of Washington for DIC and TAlk analyses in Dr. Alex Gagnon’s laboratory. Carbonate system measurements follow the methods of Dickson et al. (2007). Briefly, TAlk (μmol kg-1) was determined through open-cell automated titration (876 Dosimat plus, Metrohm AG) with a solution of 0.1M hydrochloric acid (HCl)+0.6M sodium chloride (NaCl). Total DIC (μmol/kg) was obtained through coulometric determination (VINDTA 3D, Marianda with UIC coulometer). Certified reference materials for TAlk and DIC obtained from Andrew Dickson (Scripps Institution of Oceanography) were run in conjunction with seawater samples as a calibration standard and to monitor precision. Long-term precision for DIC and TAlk in this lab, based on repeated measurements of CRM materials, was ± 3.7 μmol kg-1 (2σ std. dev.) and ± 4.3 μmol kg-1 (2σ std. dev.), respectively (Bolden et al., 2019).
pCO2 and pH were calculated from DIC and Alk using CO2Calc using the total pH scale with carbonate equilibrium constants refit from Mehrbach et al. (1973) by Dickson and Millero (1987); borate alkalinity was calculated using the boron/chlorinity (salinity) relationship provided by Lee et al. (2010) and equilibrium constants from Dickson (1990). Where necessary, NTAlk, and NDIC values used in subsequent calculations were salinity-normalized to a mean salinity value of 40.0. Data analysis was executed using Microsoft Excel. Certain data properties were calculated using CO2Calc. This includes parameters such as pH, CO32-, and pCO2.
During both cruises, samples were also collected and analyzed for: Hydrographic properties using a SeaBird Electronics, SBE 911 on a CTD SeaBird rosette (T, S, O2, pH, % Transmission and fluorescence). The pH sensor used in our project is the SBE 27 pH/O.R.P (Redox) Sensor.
Dissolved oxygen was measured using the SBE 43 Dissolved Oxygen sensor. Additional discrete samples were analyzed for dissolved oxygen within a few hours of collection using the titrimetric method (Winkler, 1888). Nutrients (NO3, NO2, NH4, PO4, and Si) and chlorophyll were analyzed on filtered samples using classical techniques (Parsons et al., 1984).
Suspended particulate matter for particulate Ca analyses was sampled using 47 mm filter holders and 0.45 µM mesh size Nuclepore filters. Filtration volumes of 2 L, provided sufficient samples for analyses. Particulate samples were acid digested in a clean lab on hot plates using trace metal grade concentrated HF (16.5M), HCl (6M) and, HNO3 (16M) acids (Yigiterhan and Murray, 2008; Yigiterhan et al., 2011, Yigiterhan et al., 2018). H2O2 was added for complete removal of the organic material. The elemental analyses were performed using ICP-OES.
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arabian_gulf_chemistry.csv (Comma Separated Values (.csv), 5.33 KB) MD5:523db5ea12ad4974d558159d0ecdad97 Primary data file for dataset ID 833517 |
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Figure1_ArabianGulf_stations filename: Murray_Figure1_ArabianGulf_stations.pdf (Portable Document Format (.pdf), 121.18 KB) MD5:85593a68892315f020f2db22a09012b1 Station locations off Qatar in the Arabian Gulf |
Parameter | Description | Units |
ISO_DateTime_UTC | Date and time in ISO8601 standard format (YYYY-MM-DDThh:mm:ssZ) | unitless |
Cruise_ID | Cruise ID | unitless |
Station | Station | unitless |
Latitude | Latitude of sample collection | decimal degrees |
Longitude | Longitude of sample collection | decimal degrees |
Total_Depth | Water depth at sampling location | meters (m) |
Sampling_Depth | Depth of sample collection | meters (m) |
Bottle_Number | Bottle number | unitless |
Temperature | Temperature | degrees Celsius |
Salinity | Salinity | unitless |
Dissolved_Oxygen | Dissolved oxygen (DO) | micromole per liter (umol/L) |
Nitrate | Nitrate (NO3) | micromole per liter (umol/L) |
Phosphate | Phosphate | micromole per liter (umol/L) |
Silicate | Silicate (SiO4) | micromole per liter (umol/L) |
DIC | Dissolved organic carbon (DIC) | micromole per liter (umol/L) |
Alkalinity | Alkalinity (ALK) | microequivalent per kilogram (uEquiv/kg) |
pCO2 | Partial pressure of carbon dioxide | microatmospheres (uatm) |
pH_calc | Calculated pH | unitless |
Dataset-specific Instrument Name | Metrohm AG 876 Dosimat plus |
Generic Instrument Name | Automatic titrator |
Dataset-specific Description | Total Alkalinity (μmol kg-1) was determined through open-cell automated titration (876 Dosimat plus, Metrohm AG) |
Generic Instrument Description | Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. |
Dataset-specific Instrument Name | SBE 911 on a CTD SeaBird rosette |
Generic Instrument Name | CTD Sea-Bird 911 |
Dataset-specific Description | Hydrographic properties were measured using a SeaBird Electronics, SBE 911 on a CTD SeaBird rosette (T, S, O2, pH, % Transmission and fluorescence). |
Generic Instrument Description | The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics. |
Dataset-specific Instrument Name | ICP-OES |
Generic Instrument Name | Inductively Coupled Plasma Optical Emission Spectrometer |
Dataset-specific Description | The elemental analyses were done using ICP-OES |
Generic Instrument Description | Also referred to as an Inductively coupled plasma atomic emission spectroscope (ICP-AES). These instruments pass nebulised samples into an inductively-coupled gas plasma (8-10000 K) where they are atomised and excited. The de-excitation optical emissions at characteristic wavelengths are spectroscopically analysed. It is often used in the detection of trace metals. |
Dataset-specific Instrument Name | VINDTA 3D, Marianda with UIC coulometer |
Generic Instrument Name | MARIANDA VINDTA 3C total inorganic carbon and titration alkalinity analyser |
Dataset-specific Description | Total DIC (μmol/kg) was obtained through coulometric determination (VINDTA 3D, Marianda with UIC coulometer) |
Generic Instrument Description | The Versatile INstrument for the Determination of Total inorganic carbon and titration Alkalinity (VINDTA) 3C is a laboratory alkalinity titration system combined with an extraction unit for coulometric titration, which simultaneously determines the alkalinity and dissolved inorganic carbon content of a sample. The sample transport is performed with peristaltic pumps and acid is added to the sample using a membrane pump. No pressurizing system is required and only one gas supply (nitrogen or dry and CO2-free air) is necessary. The system uses a Metrohm Titrino 719S, an ORION-Ross pH electrode and a Metrohm reference electrode. The burette, the pipette and the analysis cell have a water jacket around them. Precision is typically +/- 1 umol/kg for TA and/or DIC in open ocean water. |
Dataset-specific Instrument Name | 10-L PVC Niskin bottle |
Generic Instrument Name | Niskin bottle |
Dataset-specific Description | Water column sampling using rosette mounted 10-L PVC Niskin bottles was conducted |
Generic Instrument Description | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
Dataset-specific Instrument Name | SBE 27 pH/O.R.P (Redox) Sensor |
Generic Instrument Name | Sea-Bird SBE 27 pH/O.R.P. sensor |
Dataset-specific Description | The pH sensor used in our project is the SBE 27 pH/O.R.P (Redox) Sensor |
Generic Instrument Description | The SBE 27 pH and O.R.P. (Redox) sensor combines a pressure-balanced, glass-electrode, Ag/AgCl reference probe and platinum O.R.P. electrode to provide in-situ measurements at depths to 1200 m. The replaceable pH probe is permanently sealed and is supplied with a soaker bottle attachment that prevents the reference electrode from drying out during storage. The SBE 27 is intended for use as an add-on auxiliary sensor for profiling CTDs (SBE 9plus; SBE 19, 19plus, and 19plus V2 SeaCAT; and SBE 25 and 25plus Sealogger). |
Dataset-specific Instrument Name | SBE 43 Dissolved Oxygen sensor |
Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
Dataset-specific Description | Dissolved oxygen was measured using the SBE 43 Dissolved Oxygen sensor |
Generic Instrument Description | The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics |
Website | |
Platform | R/V Janan |
Start Date | 2018-12-05 |
End Date | 2018-12-05 |
Description | Exclusive Economic Zone (EEZ) of Qatar in the Central Arabian Gulf |
Website | |
Platform | R/V Janan |
Start Date | 2019-05-18 |
End Date | 2019-05-18 |
Description | Exclusive Economic Zone of Qatar in the Central Arabian Gulf |
Project Summary
There is concern that coral reefs in the Arabian (Persian) Gulf are being severely impacted by ocean acidification yet little is known about the carbonate system geochemistry in this region. The tropical coral reefs of the world reach their northernmost limits in the Gulf. Reefs there may be relatively small but they represent the regions biological store house. Historically, the countries bordering the Gulf used pearl oyster beds and coral reefs as a large part of their economy and cultural heritage. It comes as a surprise to many that the Gulf is a repository of biodiversity. The carbonate system chemistry in the Gulf was first sampled in 1977 but has not been studied since. Surface water enters the Gulf with relatively high concentrations of DIC and alkalinity from the Arabian Sea. As the water flows northward, alkalinity and DIC increase but salinity normalized alkalinity and DIC decrease. The decrease in concentrations of DIC and alkalinity can be used to determine the relative importance of CO2 removal by CaCO3 formation versus primary production. Another factor to consider is that as the water flows north some CO2 is lost due to gas exchange. At the time of the study in 1977 the Arabian Gulf was degassing CO2 to the atmosphere. Now 40 years have passed and the gradients and fluxes may have changed.
Because data regarding the progress of ocean acidification in the Arabian Gulf is sparse, an international collaboration between Qatar University (QU) and the University of Washington (UW) has been organized to fill this deficiency. This study started in 2018 with institutional funding from Qatar University. At present there is no definite end date. The initial study will consist of seasonal cruises on the RV Janan in the Exclusive Economic Zone of Qatar. Our core data set will include hydrographic parameters, nutrients, dissolved inorganic carbon (DIC) and alkalinity. pH and pCO2 will be calculated from DIC and alkalinity. After establishing regional concentrations we plan a detailed study of a healthy coral reef system to measure net calcification.
The goal of this study is to assess the status of the ocean carbonate system in the Exclusive Economic Zone of Qatar in the Arabian Gulf with respect to present and future impacts by ocean acidification and use the distributions of DIC and alkalinity to determine the relative importance of organic matter production and CaCO3 formation for sinks and sources of CO2.
Funding Source | Award |
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International Research Co-Fund Collaboration Program of QU (IRCC) |