Hurricane Harvey impacts on biogeochemistry of sediments assessed using samples collected in Mission-Aransas Estuary in south Texas from June 2017 to March 2019

Website: https://www.bco-dmo.org/dataset/839436
Data Type: Other Field Results
Version: 1
Version Date: 2021-02-04

Project
» RAPID: The impact of Hurricane Harvey on water column and sediment biogeochemistry of the Mission-Aransas Estuary in south Texas (Hurricane Harvey Biogeochemistry)
ContributorsAffiliationRole
Liu, ZhanfeiUniversity of Texas - Marine Science Institute (UTMSI)Principal Investigator
Hardison, AmberUniversity of Texas - Marine Science Institute (UTMSI)Co-Principal Investigator
Xue, JianhongUniversity of Texas - Marine Science Institute (UTMSI)Contact
Gerlach, Dana StuartWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
Heyl, TaylorWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
The impact of Hurricane Harvey on sediment biogeochemistry was assessed using sediment samples collected from June 2017 to March 2019 in Mission-Aransas Estuary in south Texas. Sediment core samples were sectioned and analyzed for mineral grain size, organic carbon and nitrogen, stable isotopic composition, pigments, plus sediment alkane and polycyclic aromatic hydrocarbons.


Coverage

Spatial Extent: N:28.179 E:-96.831 S:27.923 W:-97.202
Temporal Extent: 2017-06-08 - 2019-03-07

Methods & Sampling

Surface sediments were sampled from 19 sites in the Mission Aransas Estuary using home-made core tubes, then sectioned and frozen immediately at -80 ºC until analysis.  Sediment core samples were analyzed for mineral grain size, organic carbon and nitrogen, stable isotopic composition, pigments, plus sediment alkane and polycyclic aromatic hydrocarbons.  

Mineral grain size
The grain size of surface sediment was measured using a Beckman-Coulter laser particle size analyzer (Wang et al., 2014). Briefly, 20 mL deionized water was added to 1 gram of freeze dried sediment in a beaker. After soaking for 24 hours, the sediment was subjected to vortex mixing for 5 minutes to disaggregate loosely-attached aggregates. Neither organic matter nor carbonate was removed for the laser grain size analysis. The detected size range is from 0.02 to 2000 µm.

Organic carbon and nitrogen, and stable isotopes
Surface sediment (~2 g) was first freeze dried using Labconco FreeZone, and then also acidified to remove inorganic carbon. The organic carbon and nitrogen content and δ13C in these samples was measured using a Thermo FLASH 2000 CHN Elemental Analyzer coupled with a Thermo Delta V Plus isotope ratio mass spectrometer. The δ13C values were expressed relative to Vienna Pee Dee Belemnite standard. Precision for the C/N content is within 5% and for δ13C within 0.2‰.

Pigment analysis
Approximately 2 grams of frozen sediment was transferred into a 15 mL polypropylene centrifuge tube, to which 3 mL acetone was added for pigment extraction (Sun et al., 1991). The mixture was sonicated for 15 minutes, and then centrifuged for another 10 minutes. The acetone extract was filtered with a syringe filter (0.2 µm Nylon filter). The remaining sediment in the centrifuge was extracted again by the same procedure using fresh acetone, and the two extracts were combined before the high performance liquid chromatography (HPLC) analysis. Quantitative analysis of all pigments was conducted using a Shimadzu HPLC system with a reverse phase column (Agilent Eclipse XDB-C8, 3.5 µm particle size, 150-mm length × 4.6-mm diameter). Sediment water contents were used to convert the concentrations of pigment into micrograms per gram (µg/g) of dry sediment.

Sediment alkane and polycyclic aromatic hydrocarbons (PAHs)
PAHs extraction and analysis followed Rhind et al. (2009) and Wang et al. (2014). Briefly, about 1 gram sediment (dry weight) was added with surrogate standards (Ace-d10, Phe-d10, BaP-d12) and 8 mL ethanoic potassium hydroxide (1 M). The samples were heated to 90°C for 8 hours. The analytes were extracted by hexane and then purified with a column packed with activated silica gel and topped with 1 cm anhydrous sodium sulfate. The PAHs were then eluted with dichloromethane/hexane (1:4, v/v). The eluted solution was concentrated and exchanged by hexane to 1 mL with a rotary evaporator, and stored at 4°C until further analysis. PAHs were analyzed by gas chromatography– mass spectrometry (GC-MS, Shimadzu QP2010 plus).  The GC-MS is equipped with a RXi-1MS capillary column (20 mÅ~0.18 mm i.d., film thickness 0.18 μ m), with helium as the carrier gas at a flow rate of 0.8 mL min−1, using a selective ion monitoring mode to detect PAH.  The scan ions ranged from 126 to 279 atomic mass units, and the dwell time per ion was 200 milliseconds. The oven temperature was held at 60°C for 1 min, increased to 240°C at a rate of 10°C min−1, and then increased to 280°C at a rate of 4°C min−1 and held for 3 min. The temperatures of the injector and detector were 260°C and 275°C, respectively. The injection volume was 1 μl with a split ratio of 1/20. All of the 16 PAHs were eluted from 5 to 30 min in the GC column.

Acquisition notes: 
Stations S15 and S19 were not sampled in April 2018 due to extremely low water level which impeded boat passage to the two sampling sites


Data Processing Description

BCO-DMO processing:
- Added a conventional header with dataset name, PI names, version date
- Adjusted parameter names to comply with database requirements
- Units removed and added to Parameter Description metadata section
 


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Data Files

File
sediment_data.csv
(Comma Separated Values (.csv), 52.85 KB)
MD5:c892e0c51915d447879a63494eab1990
Primary data file for dataset ID 839436

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Related Publications

Hedges, J. I., & Stern, J. H. (1984). Carbon and nitrogen determinations of carbonate-containing solids. Limnology and Oceanography, 29(3), 657–663. doi:10.4319/lo.1984.29.3.0657
Methods
Lee, C., Wakeham, S. G., & I. Hedges, J. (2000). Composition and flux of particulate amino acids and chloropigments in equatorial Pacific seawater and sediments. Deep Sea Research Part I: Oceanographic Research Papers, 47(8), 1535–1568. doi:10.1016/s0967-0637(99)00116-8 https://doi.org/10.1016/S0967-0637(99)00116-8
Methods
Rhind, S. M., Kyle, C. E., Mackie, C., & McDonald, L. (2009). Accumulation of endocrine disrupting compounds in sheep fetal and maternal liver tissue following exposure to pastures treated with sewage sludge. Journal of Environmental Monitoring, 11(8), 1469. doi:10.1039/b902085c https://doi.org/https://doi.org/10.1039/B902085C
Methods
Sun, M., Aller, R. C., & Lee, C. (1991). Early diagenesis of chlorophyll-a in Long Island Sound sediments: A measure of carbon flux and particle reworking. Journal of Marine Research, 49(2), 379–401. doi:10.1357/002224091784995927
Methods
Wang, Z., Liu, Z., Xu, K., Mayer, L. M., Zhang, Z., Kolker, A. S., & Wu, W. (2014). Concentrations and sources of polycyclic aromatic hydrocarbons in surface coastal sediments of the northern Gulf of Mexico. Geochemical Transactions, 15(1). doi:10.1186/1467-4866-15-2 https://doi.org/https://doi.org/10.1186/1467-4866-15-2
Methods

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Related Datasets

IsRelatedTo
Liu, Z., Hardison, A., Xue, J. (2021) Hurricane Harvey impacts on biogeochemistry of water assessed using samples collected in Mission-Aransas Estuary in south Texas from June 2017 to March 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-02-04 doi:10.26008/1912/bco-dmo.839385.1 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
EstuaryNational Estuarine Research Reserve (NERR) estuary name unitless
StationStation Name unitless
ISO_DateSampling date (yyyy-mm-dd) unitless
LatitudeLatitude decimal degrees
LongitudeLongitude (West is negative) decimal degrees
DepthSampling Depth interval centimeters (cm)
ClayClay size fraction where grain size is >0.02um and percent (%)
SiltSilt size fraction where grain size is between 4 and 63 microns percent (%)
SandsSand size fraction where grain size is >63um and percent (%)
MedianMedian grain size micron (µm)
Chlc2Chlorophyll c2 micrograms per gram (µg/g) dry sediment
ChlbChlorophyll b micrograms per gram (µg/g) dry sediment
DivChlaDivinyl Chlorophyll a micrograms per gram (µg/g) dry sediment
ChlaChlorophyll a micrograms per gram (µg/g) dry sediment
PeridininPeridinin micrograms per gram (µg/g) dry sediment
Nineteen_but19'-but-fucoxanthin micrograms per gram (µg/g) dry sediment
FucoFucoxanthin micrograms per gram (µg/g) dry sediment
PrasinPrasinoxanthin micrograms per gram (µg/g) dry sediment
Nineteen_hex19'-hex fucoxanthin micrograms per gram (µg/g) dry sediment
DiadinoxanthinDiadinoxanthin micrograms per gram (µg/g) dry sediment
AlloxanthinAlloxanthin micrograms per gram (µg/g) dry sediment
ZeaxanthinZeaxanthin micrograms per gram (µg/g) dry sediment
LuteinLutein micrograms per gram (µg/g) dry sediment
OCOrganic Carbon percent (%)
delta13CStable isotope delta carbon 13 relative to Vienna PeeDee Belemnite standard per mil
C8C8 alkane micrograms per gram (µg/g) dry sediment
C9C9 alkane micrograms per gram (µg/g) dry sediment
C10C10 alkane micrograms per gram (µg/g) dry sediment
C11C11 alkane micrograms per gram (µg/g) dry sediment
C12C12 alkane micrograms per gram (µg/g) dry sediment
C13C13 alkane micrograms per gram (µg/g) dry sediment
C14C14 alkane micrograms per gram (µg/g) dry sediment
C15C15 alkane micrograms per gram (µg/g) dry sediment
C16C16 alkane micrograms per gram (µg/g) dry sediment
C17C17 alkane micrograms per gram (µg/g) dry sediment
C18C18 alkane micrograms per gram (µg/g) dry sediment
C19C19 alkane micrograms per gram (µg/g) dry sediment
C20C20 alkane micrograms per gram (µg/g) dry sediment
C21C21 alkane micrograms per gram (µg/g) dry sediment
C22C22 alkane micrograms per gram (µg/g) dry sediment
C23C23 alkane micrograms per gram (µg/g) dry sediment
C24C24 alkane micrograms per gram (µg/g) dry sediment
C25C25 alkane micrograms per gram (µg/g) dry sediment
C26C26 alkane micrograms per gram (µg/g) dry sediment
C27C27 alkane micrograms per gram (µg/g) dry sediment
C28C28 alkane micrograms per gram (µg/g) dry sediment
C29C29 alkane micrograms per gram (µg/g) dry sediment
C30C30 alkane micrograms per gram (µg/g) dry sediment
C31C31 alkane micrograms per gram (µg/g) dry sediment
C32C32 alkane micrograms per gram (µg/g) dry sediment
C33C33 alkane micrograms per gram (µg/g) dry sediment


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Instruments

Dataset-specific Instrument Name
Thermo Delta V Plus isotope ratio mass spectrometer
Generic Instrument Name
Isotope-ratio Mass Spectrometer
Dataset-specific Description
Stable carbon isotopes were measured with a Thermo Delta V Plus isotope ratio mass spectrometer (coupled from a Thermo FLASH 2000 CHN Elemental Analyzer). The δ13C values were expressed relative to Vienna Pee Dee Belemnite standard, with a precision within 0.2%.
Generic Instrument Description
The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).

Dataset-specific Instrument Name
Shimadzu HPLC system
Generic Instrument Name
High-Performance Liquid Chromatograph
Dataset-specific Description
Shimadzu HPLC with reverse phase column was used for pigment analysis. Reverse phase column was Agilent Eclipse XDB-C8, 3.5 µm particle size, 150-mm length × 4.6-mm diameter
Generic Instrument Description
A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.

Dataset-specific Instrument Name
Lachat QuikChem 8500
Generic Instrument Name
Nutrient Autoanalyzer
Dataset-specific Description
Lachat QuikChem 8500 was used for Nutrient analyses (Silicate, Phosphorous, Ammonia, Nitrate+Nitrite)
Generic Instrument Description
Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.

Dataset-specific Instrument Name
Thermo FLASH 2000 CHN Elemental Analyzer
Generic Instrument Name
CHN Elemental Analyzer
Dataset-specific Description
The organic carbon and nitrogen content of the samples was measured using a Thermo FLASH 2000 CHN Elemental Analyzer.  Precision for the C/N content is within 5%. 
Generic Instrument Description
A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.

Dataset-specific Instrument Name
Beckman-Coulter laser particle size analyzer
Generic Instrument Name
Particle Size Analyzer
Dataset-specific Description
The grain size of surface sediment was measured using a Beckman-Coulter laser particle size analyzer
Generic Instrument Description
Particle size analysis, particle size measurement, or simply particle sizing is the collective name of the technical procedures, or laboratory techniques which determines the size range, and/or the average, or mean size of the particles in a powder or liquid sample.

Dataset-specific Instrument Name
GC-MS, Shimadzu QP2010 plus
Generic Instrument Name
Gas Chromatograph Mass Spectrometer
Dataset-specific Description
The Shimadzu QP2010 plus GC-MS used for this study is equipped with a RXi-1MS capillary column (20 mÅ~0.18 mm i.d., film thickness 0.18 μ m), with helium as the carrier gas at a flow rate of 0.8 mL min−1, using a selective ion monitoring mode to detect PAHs.
Generic Instrument Description
Instruments separating gases, volatile substances or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay by a mass spectrometer.


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Project Information

RAPID: The impact of Hurricane Harvey on water column and sediment biogeochemistry of the Mission-Aransas Estuary in south Texas (Hurricane Harvey Biogeochemistry)

Coverage: Mission-Aransas Estuary 28N 97W


NSF Award Abstract:

This project involves rapid-response research into the effects of Hurricane Harvey on the Mission-Aransas estuary system in south Texas. Hurricane Harvey passed directly over this region on August 25-26, 2017. Because these waters are the site of the Mission-Aransas National Estuarine Research Reserve (MANERR), the investigators have a history of data from before the storm with which to compare the data they will collect. They proposed to investigate the effect of the passage of the storm on carbon and nitrogen cycling, and thus the ecosystem, in the waters and sediments of Copano Bay and Aransas Bay. Their results will be important to understanding coastal processes both in general and in response to extreme events.

The investigators pose two hypotheses, which can be summarized broadly as 1) inputs of nutrients from river flooding will stimulate algal blooms in the estuary and 2) changes in sediment grain size distribution will affect sediment nitrogen cycling. They will collect water samples for nutrients, pigments, lipids, bulk carbon, and carbon isotope analyses, together with standard water quality parameters using a YSI Sonde (salinity, temperature, pH, chlorophyll a, dissolved oxygen and turbidity) at the five System Wide Monitoring Program sites of the MANERR on a biweekly to monthly basis. Sediment samples will be collected at all sites in the fall of 2017 and examined for grain size, pigments, carbon and nitrogen content, carbon isotopes, pigments, and lipids. The results will be used, in combination from data collected earlier this year, to examine physical, chemical, and biological responses to this major event. The project will support a graduate student research assistant and three undergraduate student researchers. Communication with the public will occur through well-established and effective programs at the Mission-Aransas NERR and the University of Texas Marine Science Institute.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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