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Bynoe Harbour Habitat Mapping Survey 2016: Grain size data for seabed sediments.

This resource contains surface sediment data for Bynoe Harbour collected by Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and Department of Land Resource Management (Northern Territory Government) during the period from 2-29 May 2016 on the RV Solander (survey SOL6432/GA4452). This project was made possible through offset funds provided by INPEX-led Ichthys LNG Project to Northern Territory Government Department of Land Resource Management, and co-investment from Geoscience Australia and Australian Institute of Marine Science. The intent of this four year (2014-2018) program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps that underpin marine resource management decisions. The specific objectives of the survey were to: 1. Obtain high resolution geophysical (bathymetry) data for outer Darwin Harbour, including Shoal Bay; 2. Characterise substrates (acoustic backscatter properties, grainsize, sediment chemistry) for outer Darwin Harbour, including Shoal Bay; and 3. Collect tidal data for the survey area. Data acquired during the survey included: multibeam sonar bathymetry and acoustic backscatter; physical samples of seabed sediments, underwater photography and video of grab sample locations and oceanographic information including tidal data and sound velocity profiles.


This dataset comprises grain size data measured on seabed sediments.


A detailed account of the survey is provided in Siwabessy, P.J.W., Smit, N., Atkinson, I., Dando, N., Harries, S., Howard, F.J.F., Li, J., Nicholas W.A., Picard, K., Radke, L.C., Tran, M., Williams, D. and Whiteway, T., 2016. Bynoe Harbour Marine Survey 2017: GA4452/SOL6432 - Post-survey report. Record 2017/04. Geoscience Australia, Canberra.


Thanks to the crew of the RV Solander for help with sample collection, Matt Carey, Craig Wintle and Andrew Hislop from the Observatories and Science Support at Geoscience Australia for technical support and Jodie Smith for reviewing the data. This dataset is published with the permission of the CEO, Geoscience Australia

Simple

Identification info

Date (Creation)
2017-03-15T11:55:00
Date (Publication)
2017-04-24T11:00:00
Citation identifier
Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/104680

Citation identifier
Digital Object Identifier/http://dx.doi.org/10.4225/25/58fd8344d9c12

Cited responsible party
Role Organisation / Individual Name Details
Author

Nicholas, W.A.

1
Status
Point of contact
Role Organisation / Individual Name Details
Custodian

Nicholas, W.A.

Commonwealth of Australia (Geoscience Australia)

Voice
Spatial representation type
Topic category
  • Geoscientific information

Extent

Temporal extent

Time period
2017-04-20

Extent

N
S
E
W


Maintenance and update frequency
As needed

Resource format

Title

Product data repository: Various Formats

Website

Data Store directory containing the digital product files

Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes

Keywords
  • Marine

Keywords
  • Marine survey

Keywords
  • Marine Baselines

Keywords
  • Continental shelf

Keywords
  • Seabed

Keywords
  • sedimentology

Keywords
  • Published_External

Resource constraints

Title

Creative Commons Attribution 4.0 International Licence

Alternate title

CC-BY

Edition

4.0

Website

http://creativecommons.org/licenses/

Access constraints
License
Use constraints
License

Resource constraints

Title

Australian Government Security ClassificationSystem

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified
Language
English
Character encoding
UTF8

Distribution Information

Distributor contact
Role Organisation / Individual Name Details
Distributor

Commonwealth of Australia (Geoscience Australia)

Voice
OnLine resource

Download the data (xlsx)

Download the data (xlsx)

Distribution format
  • xlsx

OnLine resource

Link to collection record

Link to collection record

Resource lineage

Statement

Initial processing and determining Mud, Sand and Gravel proportions

Sediment samples are first weighed, and then wet sieved over 63 um and 2000 um sieves to determine the percent (%) content of Gravel (> 2 mm diameter), Sand (2-0.063 mm) and Mud (< 0.063 mm). The results are presented as Mud Sand and Gravel percent (%).


Gravel and Sand fractions from the wet sieving are put into an oven at 40deg C overnight or longer to dry. The wet sediment samples, representing a discrete proportion (%) of the bulk sample, from the Mud fraction (< 63 um diameter) are then measured in one of two Malvern Mastersizer particle size analysers for measurement of the fine fraction. Each sample is analysed three times, and the average from these are used as the result for the mud fraction. Because the Mastersizer particle size data are created in 105 individual size bins, these data are re-assigned to the appropriate size classes used in the Wentworth scale, and the results are presented for the 0-250 um size range. This is because the laser measurement system produces data that is based on spherical particles, yet natural minerals and biogenic particles can have a very non-spherical form. Repeat analyses of multiple samples of < 63 um sieved sediment at the Pal Sed lab generally results in grain size data for sizes of up to 250 um diameter particles being produced. The laser measurements are undertaken on the volume of particles. However, because the Mud sample was originally weighed, these data represent the x % by mass of the original bulk sample, determined in the initial stage by wet sieving. Therefore these data can be summed to the outputs of Sand and Gravel % by weight to give baseline grainsize data for the Wentworth scale size bins.


Once the wet sand and gravel fractions are dry, these are then dry-sieved over sieves that match as close as possible the Wentworth scale. Sieve sizes are 63, 125, 250, 500, 1000, 2000 um for the sand fraction, and 2000, 4000, 8000 and 16000 um size for the gravel fraction. A single analysis is undertaken for the sand, and for the gravel fractions. The results are the proportions by mass as a percent of the sand and of the gravel fractions. Once the measurements are completed, and Quality Assurance duplicate analyses are undertaken on each of the Mud, Sand and Gravel fractions for approximately 1 in 10 of the samples submitted in each job, the samples are archived dry, and sent to the Repository.


Quality Assurance


Approximately 1 in 10 samples in a batch of samples submitted are analysed in duplicate (i.e. replicates). For the Mud fraction, this means that the duplicate sample will also undergo three individual analyses, and the result for the duplicate is the mean of the three analyses. For the coarse fractions, a single sieve analyses is undertaken for the duplicate, the same as for the original. The full grain-size distribution is produced, and sediment distribution plots are created to compare duplicates (Quality Assurance or QA samples) with the original samples.


Outputs of the new grain size method

The determination of Mud, Sand and Gravel proportions is the first step in creating a grain size distribution.

The proportions of grain size distributions in individual bins originating from Mud, Sand and Gravel proportions are summed to 100 %. For the Mud measurements made using the Mastersizer, this means that the determined size values in the range of 0-250 um is added to the sand fraction because they each are a % proportion of the total. Once the grain size distribution is determined, the Microsoft Excel-based software Gradistat (Blott and Pye, 2001) is used to calculate the Geometric graphical measures of Mean (MG, Standard deviation (= Sorting, σG), Kurtosis (KG) and Skewness (SkG) originally described by Folk and Ward (1957).


Additionally, to provide summary point information for each sediment sample, the Folk textural classification for coarse sediment (Folk, 1980) is determined for each sample, derived from the percentage proportions of Mud, Sand, and Gravel. Finally, the Shepard textural classification for fine sediments (Clay, Silt and Sand) is derived for each sample in MARS that has the full grain size distribution. At present, both the Folk and (soon) Shepard textural classes are derived when the final grain size distributions are entered into MARS. This is because these are products derived from data, and are not raw data. Thus the final sign-off of sediment data for release will be after data is entered into MARS.

Hierarchy level
Dataset

Metadata constraints

Title

Australian Government Security ClassificationSystem

Edition date
2018-11-01T00:00:00
Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification
Unclassified

Metadata

Metadata identifier
urn:uuid/59040dee-8ae2-4a09-b869-b260531fa9b0

Title

GeoNetwork UUID

Language
English
Character encoding
UTF8
Contact
Role Organisation / Individual Name Details
Point of contact

Radke, L.C.

Commonwealth of Australia (Geoscience Australia)

Voice

Type of resource

Resource scope
Dataset
Name

excel spreadsheet

Alternative metadata reference

Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier
eCatId/104680

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/59040dee-8ae2-4a09-b869-b260531fa9b0

Date info (Creation)
2017-03-15T11:15:12
Date info (Revision)
2018-04-22T08:21:53

Metadata standard

Title

AU/NZS ISO 19115-1:2014

Metadata standard

Title

ISO 19115-1:2014

Metadata standard

Title

ISO 19115-3

Title

Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition

Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/122551

 
 

Spatial extent

N
S
E
W


Keywords

Continental shelf Marine Marine Baselines Marine survey Seabed sedimentology

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