Synoptic Bi-monthly and Storm Response Water Quality Sampling in Southern Kaneohe Bay, HI 2005-2007 (NODC Accession 0060061)

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What does this data set describe?

Title:
Synoptic Bi-monthly and Storm Response Water Quality Sampling in Southern Kaneohe Bay, HI 2005-2007 (NODC Accession 0060061)
Abstract:
Synoptic sampling including water column profiles and collected surface water samples was conducted on a bi-monthly basis throughout the rainy season(October-May) and on a monthly basis in the dry season (June-September) at nine locations in southern Kaneohe Bay in support of the Coral Reef Instrumented Monitoring Platform (CRIMP) program. Another dozen or so ancillary stations were also monitored selectively. Storm events were defined as greater than 5.1 cm of rain at the Luluku rain gain in less than 24 hours. The nine southern bay stations were sampled daily for one week after or until no obvious visual evidence of the storm runoff remained.
Supplemental_Information:
NOAASupplemental:Entry_ID: UnknownSensor_Name: YSI 6600 Multi-parameter monitoring system Sensor_Name: Sea Bird Electronics Microcat CT model 37-SMPSensor_Name: Sequoia Scientific LISST-100 particle size analyzer Source_Name: zodiac Project_Campaign: Coral Reef Instrumented Monitoring Platform (CRIMP)Originating_Center: University of Hawaii Storage_Medium: MS Excel, WordReference: None Online_size: 49,898 kbytes

Resource Description: NODC Accession Number 0060061

  1. How might this data set be cited?
    Dr. Eric Heinen De Carlo - Department of Oceanography, School of Oceanography and Earth Science and Technology, University of Hawai'i at Manoa, Rachel F. Soloman - Department of Oceanography, School of Oceanography and Earth Science and Technology, University of Hawai'i at Manoa, and Patrick Drupp - Department of Oceanography, School of Oceanography and Earth Science and Technology, University of Hawai'i at Manoa, Unknown, Synoptic Bi-monthly and Storm Response Water Quality Sampling in Southern Kaneohe Bay, HI 2005-2007 (NODC Accession 0060061).

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -157.8420
    East_Bounding_Coordinate: -157.7807
    North_Bounding_Coordinate: 21.4949
    South_Bounding_Coordinate: 21.4123
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 28-Sep-2005
    Ending_Date: 25-Oct-2007
    Currentness_Reference: ground condition
  5. What is the general form of this data set?
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    Directory 0-data This contains the original files as provided by Patrick Drupp. Directory 1-data These are files created by NODC liaison Patrick Caldwell. All Microsoft Word and Excel files were copied to redundant text files for archival purposes. Directory names in 1-data are altered in some cases to have the date given as year-month-day, such that the directories are chronologically ordered. Also, spaces and dashes in original file and directory names (0-data)are changed to underscores, or "_", to be more compatible to a variety of operating systems. directory 0-datasubdirectory: YSI Data 2005_2007 comment: holds all data directories and files, as defined as follows note: if date within a spreadsheet does not match the date of the directory, then the date of the directory is the correct one. subdirectory: 0-data/YSI Data 2005_2007/Bi-monthly Sampling comment: all data for the bi-monthly and monthly synoptic sample program subdirectory naming convention: YSI Data (date) comment: 1) note sometimes YSIdata or YSI data 2) date as month_day_year data files within each subdirectory: MS Excel spreadsheet name: All_Data_(date).xls, note (date varies) comment: 1) holds all data in sheets also plots of data 2) station given on separate sheet, sheet name = location 3) for each station, column headers define variables and units, the given variables from date to date are not always the same MS Word document name: NOTES for KB Sampling (date), note (date varies) comment: field notes directory 1-data comment: Redundant copies of 0-data as text files subdirectory: 1-data/YSI_Data_2005_2007 comment: note underscore "_" used for spaces in original subdirectory: 1-data/YSI_Data_2005_2007/Bi_monthly_Sampling comment: contains directories for each sampling date subdirectory names: YSIdata(date) where date is YYYYMMDD filenames: 1) same as 0-data except for use of "-" as described above 2) all spreadsheets (each individual sheet) in the original (0-data) MS Excel file were dumped as Comma-Separated Version (CSV) text format in single files, with filename as the name of the original appended with _location (use exactly the name of the sheet in the original for the location) 3) if a sheet was empty in the original MS Excel file, then there is not a separate file under 1-datasubdirectory: 0-data/YSI Data 2005_2007/Storm Responsescomment: all data for the post-storm sample program subdirectory naming convention: 1) usually date Storm Response a) date as month_day_year b) sometimes capital letters used, sometimes not c) one as "date Possible Storm" d) one as "September 2006 Storm", which has additional stations defined in MasterGPS.csv subdirectories: For some of these, there are additional subdirectories given as a date Month_Day_Year. Sometimes the day of the week is prefixed to the date. files: the filename and contents mirror the structure defined above for 0-data/YSI Data 2005_2007/Bi-monthly Sampling exception: September 2006 Storm/ comment: 1) This directory has only one sheet per spreadsheet (MS Excel file) containing all stations. 2) file MasterGPS.csv has coordinates for the ancillary stations directory 1-data comment: Redundant copies of 0-data as text files subdirectory: 1-data/YSI_Data_2005_2007/Storm_Responses/ comment: note underscore "_" used for spaces in original subdirectory names: StormResponse(date) where date is YYYYMMDD 1) exception: PossibleStorm(date) (see note above in 0-data) filenames: 1) if subdirectories, then kept the same name as in 0-data 2) all spreadsheets (each individual sheet) in the original (0-data) MS Excel file were dumped as Comma-Separated Version (CSV) text format in single files, with filename as the name of the original appended with _location 3) if a sheet was empty in the original MS Excel file, then there is not a separate file under 1-data 4) for "September 2006 Storm", single CSV file for all stations as organized in the original
    Entity_and_Attribute_Detail_Citation: none

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
  2. Who also contributed to the data set?
    Coral Reef Instrumented Monitoring Platform (CRIMP)University of Hawaii Sea Grant Program, UNIHI-SEAGRANT-XM-05-01National Oceanic and Atmospheric Administration (NOAA)Pacific Marine Environmental Laboratory (PMEL)
  3. To whom should users address questions about the data?
    Dr. Eric Heinen De Carlo
    Department of Oceanography School of Ocean and Earth Science and Technology University of Hawaii
    Principal Investigator
    1000 Pope Rd
    Honolulu, HI
    USA

    (808) 956-5924 (voice)
    edecarlo@soest.hawaii.edu

Why was the data set created?

The goals of our study are: (1) to quantify physical and chemical properties of terrestrial runoff in "real time" as it enters the coastal water/coral reef ecosystem of southern Kaneohe Bay, (2) to characterize temporally physical and biogeochemical processes, that may affect the coastal/reef ecosystem, (3) to obtain time-series data on the biogeochemical evolution of the water column and reef study site under various environmental conditions, (4) to quantify the importance of storm-derived nutrients in both the dissolved and particulate load to productivity in the bay, and (5) to demonstrate that the remobilization, remineralization, and resuspension of particulate nutrients pulsed to the sea floor during storm plume events are important to nutrient subsidies in bay waters and may be sustaining the productivity of nuisance algae in the bay.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: Unknown (process 1 of 1)
    SAMPLING STATIONS: primary nine stationssite Lat N Long W Additional Names Kaneohe Stream, KS 21.4123 157.7839JD4 21.4134 157.7823JD5 21.4139 157.7839JD6 21.4137 157.7856E buoy 21.4191 157.7807 ED buoy 21.4231 157.7830 DCRIMP-CO2 buoy 21.4281 157.7884 CRIMP,CO2Buoy2,C,oldCRIMPLilipuna Channel, LC 21.4299 157.7901South Bay, SB 21.4362 157.7727Ancillary Stations: Name additional names coordinatesCRIMP2 21.4600 157.8000HeeiaMooring HM 21.4516 157.8085midbay CentralOn,MB 21.4508 157.8126WS Waikane 21.4859 157.8420Ship ShipChan 21.4949 157.8301SP2 21.4571 157.7860R1 Reef 21.4590 157.7974R2 21.4606 157.7944R3, specific coordinates not available but explained by P.Drupp as" For some reason I don't have coordinates from R3. However, if you form a line from CRIMP2-R1-R2, R3 is located about 200m further out from R2 on thatline."SP1, "SP1 is basically at the first marker for the Sampan channel in the central sector of the bay. It is a few hundred meters closer in from SP2"Lilipuna Pier, "is the pier onshore that HIMB/Coconut Island use." Unknown sites (data collected by non_CRIMP investigators and metadata not available): LH1, LH2, LH2a, LH3, LH4, LH5, edge1, edge2,z1, z3, z3, z4, z5For 0-data/YSI Data 2005_2007/Storm Responses/September 2006 Storm there are additional stations that are defined in 0-data/YSI Data 2005_2007/Storm Responses/September 2006 Storm/MasterGPS.csv The following was extracted from Solomon, 2008 (citation below).Synoptic sampling including water column profiles and collected surface water samples was conducted on a bi-monthly basis throughout the rainy season(October-May) and on a monthly basis in the dry season (June-September) at nine locations in southern Kaneohe Bay. Storm events were defined as greater than 5.1 cm of rain at the Luluku rain gain in less than 24 hours. The nine southern bay stations were sampled daily for one week after or until no obvious visual evidence of the storm runoff remained. Surface seawater samples were collected in 10% HCI-washed, one-liter bottles to be analyzed for chlorophyll-a and dissolved inorganic nutrients. These include nitrate (NO3-) plus nitrite (NO2-), phosphate (PO43-), ammonium (NH4+), and dissolved silica (SiCo2). Water samples for nutrients and chlorophyll-a were kept in a cooler while in the field, were stored in a laboratory refrigerator until filtration (usually done immediately upon returning to the lab, or later the same day), and were frozen after filtration until analysis. Surface water samples were also collected in 300 mL, borosilicate glass(BOD-type) bottles for Total Alkalinity (TA) analysis. The bottles were rinsed three times with surface water, held just below the surface to collect the sample, and then a small amount of water was removed from the bottle (to about 2-3 cm below the stopper) to allow for equilibration of air and seawater. The samples were immediately poisoned with 200 uL of a stauratedmercuric chloride (HgCl2) solution to kill any organisms present in the sample. The bottles were then sealed using Apiezon (non silicone-based)grease on the stopper and fastened using a rubber band and bottle clip. The TA samples were collected once or twice per month at the CRIMP-CO2 buoy location. On selected sampling dates, duplicate BOD bottles were collected for dissolved inorganic carbon (DIC) analysis. Profiles of water column properties were also taken at each station using a YSI 6600 sonde. Parameters were measured at two-second intervals. The sonde was calibrated no more than two days prior to each sampling date and was checked post-sampling to verify the calibration. The chlorophyll calibration was conducted in the dark and the sonde was always lowered off the shady side of the boat in order to reduce light interference with the fluorescence measurement. At each station, the sonde was lowered through the water at a rate no greater than 0.06-0.12 m/s (4-8 samples/m), and even slower near the surface to maximize resolution of the surface layer. Analyses Total Alkalinity (TA)TA samples were filtered through 0.45 um pore size Millipore type HA(nitrocellulose) filters to remove particulate organic and inorganic matter that could interfere with the analysis. TA samples were analyzed using an open cell, potentiometric Gran titration method in conjunction with a computerized (Brinkmann Metrohm) titrator, Orion pH meter, and Accumetcolomel-reference combination pH electrode. The pH electrode was calibrated using pH 4 and pH 7 (NBS) buffers. The room temperature generally varied between 20 - 23 degree C and was monitored throughout titrations. The pH electrode was recalibrated if the room temperature change exceeded 1-2 deg C. Electrodes were only used if the response was greater than 97% Nernstian. The0.1 N (analytical grade) hydrochloric acid (HCI) standard used for the titrations contained 0.7 moles of NaCl to adjust to the ionic strength of seawater. The HCI titrant was standardized periodically with certified reference material (CRM) to determine the exact concentration of the acid. Approximately 40 mL of sample were weighed on an analytical balance and the weights were entered into the computer program. The samples were run induplicate (60%) or triplicate (40%), and a CRM sample was run at the start and end of each day as well as between every five samples (to monitor accuracy).If replicate analyses were not sufficiently precise (i.e., < 8 ueq/kg apart),an additional replicate was run. The average precision between replicate samples for all TA titrations was 0.16%, and the average accuracy was +/- 4.22ueq/kg. The average standard deviation of TA sample replicates from theCRIMP-CO2 buoy station was 2.55 ueq/kg. Nutrients Nutrient samples were stored in a refrigerator (to delay biological uptake),generally for less than one day, before they were filtered with 1.2 um nominalpor size Whatman GF/C filters, which were pre-rinsed with HCI and DI water. Filtered samples were then frozen until analysis. Nutrient samples were either sent out for analysis to an EPA certified lab, or were run using a Technicon visible light spectrophotometer and auto-analyzer. Samples collected after June 15, 2006, were not analyzed for nutrients. Chlorophyll Approximately 70 mL of a samples were filtered through a Whatman GF/C filter for chlorophyll analysis. Filters were stored in small glass centrifuge tubes in the freezer until analysis. Chlorophyll was determined using the fluorometric method for acetone-extracted samples. The fluorometer was calibrated using a two-point calibration using acetone and a commercial chlorophyll source from Sigma Chemical (which contains no phaeophytin). This analysis was performed before and after the sample was acidified with 0.1 NHCl in order to determine the amount of chlorophyll-a present in the sample as well as the concentration of degraded (phaeophytin) pigments. The detection limit and precision of this method are 0.01 ug/L and 5%, respectively. INSTRUMENT TYPES:YSI 6600 Multi-parameter monitoring system Sea Bird Electronics Microcat CT model 37-SMPSequoia Scientific LISST-100 particle size analyzer REFERENCES: Solomon, R., 2008. Effects of local climatic forcing on CO2 dynamics and air-sea exchange in southern Kaneohe Bay, Oahu, Hawaii. Masters Thesis. Department of Oceanography, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, May 2008. Person who carried out this activity:
    Dr. Eric Heinen De Carlo
    Department of Oceanography School of Ocean and Earth Science and Technology University of Hawaii
    Principal Investigator
    1000 Pope Rd
    Honolulu, HI
    USA

    (808) 956-5924 (voice)
    edecarlo@soest.hawaii.edu
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    quality control completed
  5. How consistent are the relationships among the observations, including topology?
    see methodology

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints: Dataset credit required
  1. Who distributes the data set? (Distributor 1 of 1)
    NOAA/NESDIS/National Oceanographic Data Center
    Attn: Data Access Group, User Services Team
    SSMC-3 Fourth Floor
    Silver Spring, MD
    USA

    301-713-3277 (voice)
    301-713-3302 (FAX)
    services@nodc.noaa.gov
    Hours_of_Service: 8am-5pm, Monday through Friday
  2. What's the catalog number I need to order this data set? Downloadable Data
  3. What legal disclaimers am I supposed to read?
    NOAA makes no warranty regarding these data, expressed or implied, nor does the fact of distribution constitute such a warranty. NOAA, NESDIS, NODC and NCDDC cannot assume liability for any damages caused by any errors or omissions in these data, nor as a result of the failure of these data to function on a particular system.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 06-Jan-2021
Last Reviewed: 15-Dec-2009
Metadata author:
Mr. Patrick C. Caldwell
NOAA/NESDIS/NODC/NCDDC
Hawaii/US Pacific Liaison
1000 Pope Road, MSB 316
Honolulu, Hawaii
USA

(808)-956-4105 (voice)
(808) 956-2352 (FAX)
caldwell@hawaii.edu
Hours_of_Service: 8 AM to 5 PM weekdays
Contact_Instructions: check services@nodc.noaa.gov if not available
Metadata standard:
FGDC CSDGM (FGDC-STD-001-1998)

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