Oil-Marine Snow-Mineral Aggregate model distributions-Numerical Model Simulation Results

Oil-Marine Snow-Mineral Aggregate Interactions and Sedimentation during the 2010 Deepwater Horizon Oil Spill

DOI:
10.7266/N73R0R75
 
UDI:
R5.x269.000:0001
Last Update:
Jan 18 2018 19:34 UTC
 
Dataset Author(s):
Dissanayake, Anusha L., Burd, Adrian
Point of Contact:
Burd, Adrian
University of Georgia / Department of Marine Sciences
325 Sanford Dr
Athens, Georgia  30602
USA
adrianb@uga.edu
Funding Source:
RFP-V
Data Collection Period:
2010-05-28 to 2010-06-03

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

Dissanayake, Anusha L., Burd, Adrian. 2018. Oil-Marine Snow-Mineral Aggregate model distributions-Numerical Model Simulation Results. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N73R0R75

Abstract:

A numerical model is developed to simulate the interactions of oil, marine snow and riverine sediments to form Marine-Oil-Snow (MOS) in the ocean. The model is developed on a Stochastic Lagrangian Aggregate Model used to simulate the interactions of marine particles by Jokulsdottir, T., and D. Archer (2016), A stochastic, Lagrangian model of sinking biogenic aggregates in the ocean (slams 1.0): model formulation, validation and sensitivity, Geo- scientific Model Development, 9(4), 1455–1476. The model simulates the evolution of aggregate sizes and their settling in the water column and considers marine snow, transparent exopolymer particles (TEP) oil, and sediments particles present in the water. We use the model to simulate the MOS formation event after the Deepwater Horizon (DWH) accident in the Gulf of Mexico in 2010. We selected five stations namely GG01 (28.86N, 88.82W), GG02 (28.94N, 88.06W), GG03 (28.78N, 88.24W), GG04 (28.86N, 88.28W) and GG05 (28.71N, 88.51W) within 45 km from the DWH well and predicted the MOS aggregate distribution in the water column. We used two different initial compositions for the simulations namely Composition 1 (marine Snow - 60%, TEP - 15%, oil- 10%, sediment - 15%) and Composition 2 (marine Snow - 60%, TEP - 15%, oil- 15%, sediment - 10%), with and without the consideration of aggregate break-up in the model simulations. The model predicted particle size distribution in every 5 m depth level at the five stations for all the simulations are submitted with the dataset. The folder and file naming are self-explanatory.

Purpose:

To simulate the MOS formation event after the Deepwater Horizon (DWH) accident in the Gulf of Mexico in 2010 and to predict particle size distribution for every 5 m depth level at five stations.

Theme Keywords:

Marine Oil Snow (MOS), Deepwater Horizon oil spill, Marine Particle Aggregation, Numerical Model

File Format:

txt

Filename:

Archive.zip (2.96 MB)

Dataset Downloads:

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Oil-Marine Snow-Mineral Aggregate model distributions-Numerical Model Simulation Results



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Metadata: 
  File identifier: 
      R5.x269.000-0001-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Anusha Dissanayake
      Organisation name: 
          Texas A&M University / Zachry Department of Civil Engineering
      Position name: 
          Postdoctoral Research Associate
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  College of Engineering
                  3136 TAMU
              City: 
                  College Station
              Administrative area: 
                  Texas
              Postal code: 
                  77843
              Country: 
                  USA
              Electronic mail address: 
                  dissanayake.al@gmail.com
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:57+00:00
  Metadata standard name: 
      ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
  Metadata standard version: 
      ISO 19115-2:2009(E)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/R5.x269.000:0001
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Identification info: Data identification: Citation: Citation: Title: Oil-Marine Snow-Mineral Aggregate model distributions-Numerical Model Simulation Results Alternate title: Date: Date: Date: 2018-03-06 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N73R0R75 title: DOI doi:10.7266/N73R0R75 Abstract: A numerical model is developed to simulate the interactions of oil, marine snow and riverine sediments to form Marine-Oil-Snow (MOS) in the ocean. The model is developed on a Stochastic Lagrangian Aggregate Model used to simulate the interactions of marine particles by Jokulsdottir, T., and D. Archer (2016), A stochastic, Lagrangian model of sinking biogenic aggregates in the ocean (slams 1.0): model formulation, validation and sensitivity, Geo- scientific Model Development, 9(4), 1455–1476. The model simulates the evolution of aggregate sizes and their settling in the water column and considers marine snow, transparent exopolymer particles (TEP) oil, and sediments particles present in the water. We use the model to simulate the MOS formation event after the Deepwater Horizon (DWH) accident in the Gulf of Mexico in 2010. We selected five stations namely GG01 (28.86N, 88.82W), GG02 (28.94N, 88.06W), GG03 (28.78N, 88.24W), GG04 (28.86N, 88.28W) and GG05 (28.71N, 88.51W) within 45 km from the DWH well and predicted the MOS aggregate distribution in the water column. We used two different initial compositions for the simulations namely Composition 1 (marine Snow - 60%, TEP - 15%, oil- 10%, sediment - 15%) and Composition 2 (marine Snow - 60%, TEP - 15%, oil- 15%, sediment - 10%), with and without the consideration of aggregate break-up in the model simulations. The model predicted particle size distribution in every 5 m depth level at the five stations for all the simulations are submitted with the dataset. The folder and file naming are self-explanatory. Purpose: To simulate the MOS formation event after the Deepwater Horizon (DWH) accident in the Gulf of Mexico in 2010 and to predict particle size distribution for every 5 m depth level at five stations. Status: Progress code: completed Point of contact: Responsible party: Individual name: Adrian Burd Organisation name: University of Georgia / Department of Marine Sciences Position name: Associate Professor Contact info: Contact: Phone: Telephone: Voice: 7065421604 Facsimile: Address: Address: Delivery point: 325 Sanford Dr City: Athens Administrative area: Georgia Postal code: 30602 Country: USA Electronic mail address: adrianb@uga.edu Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: Marine Oil Snow (MOS) Keyword: Deepwater Horizon oil spill Keyword: Marine Particle Aggregation Keyword: Numerical Model Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: Gulf of Mexico Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: Dissanayake, Anusha L., Burd, Adrian. 2018. Oil-Marine Snow-Mineral Aggregate model distributions-Numerical Model Simulation Results. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N73R0R75 Resource constraints: title: CC0 License Legal constraints: Use constraints: Restriction code: licenceUnrestricted Other constraints: This information is released under the Creative Commons license - No Rights Reserved - CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/). The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. 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Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Dissanayake, A. L., Burd, A., Daly, K. L., Francis, S., & Passow, U. (2018). Numerical Modeling of the Interactions of Oil, Marine Snow, and Riverine Sediments in the Ocean. Journal of Geophysical Research: Oceans. doi:10.1029/2018jc013790 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1029/2018jc013790 title: DOI doi:10.1029/2018jc013790 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: oceans Topic category: Topic category code: environment Extent: Extent: Geographic element: Geographic bounding box: West bound longitude: -88.82 East bound longitude: -88.06 South bound latitude: 28.71 North bound latitude: 28.94 Geographic element: BoundingPolygon: Polygon: gml:MultiPoint: gml:pointMember: Point: gml:pos: 28.86 -88.82 gml:pointMember: Point: gml:pos: 28.94 -88.06 gml:pointMember: Point: gml:pos: 28.78 -88.24 gml:pointMember: Point: gml:pos: 28.86 -88.28 gml:pointMember: Point: gml:pos: 28.71 -88.51 Temporal element: Temporal extent: Extent: Time period: Description: modeled period Begin date: 2010-05-28 End date: 2010-06-03 Supplemental Information: Number of Aggregates (number in the depth bin in column 3 and in size bin in column 2), Bin Size (micro m), Depth level represented in n=1,2,3...where 1=0-5 m depth bin, 2=5-10 m depth bin, 3=10-15 m depth bin, etc. Station Latitude (decimal degrees) Longitude (decimal degrees) GG01 (28.86N, -88.82W) GG02 (28.94N, -88.06W) GG03 (28.78N, -88.24W) GG04 (28.86N, -88.28W) GG05 (28.71N, -88.51W)|Numerical simulations||||
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Distribution info: Distribution: Distributor: Distributor: Distributor contact: Responsible party: Organisation name: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) Contact info: Contact: Phone: Telephone: Voice: 3618253604 Address: Address: Delivery point: 6300 Ocean Drive City: Corpus Christi Administrative area: TX Postal code: 78412 Country: USA Electronic mail address: griidc@gomri.org Online Resource: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org Role: Role code: distributor Distributor format: Format: Name: txt Version: inapplicable File decompression technique: zip Distributor transfer options: Digital transfer options: Transfer size: 2.9603 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R5.x269.000:0001 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
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Metadata maintenance: Maintenance information: Maintenance and update frequency: unknown Maintenance note: This ISO metadata record was automatically generated from information provided to GRIIDC for dataset: R5.x269.000:0001 on 2021-07-29T00:39:54-05:00
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