Prediction of the formation of oil particle aggregates (OPA) in near shore environment

Dispersion Research on Oil: Physics and Plankton Studies II (DROPPS II)

DOI:
10.7266/N74F1NR7
 
UDI:
R4.x259.190:0008
Last Update:
Apr 05 2016 15:27 UTC
 
Dataset Author(s):
Lin Zhao, Michel C. Boufadel, Xiaolong Geng, Kenneth Lee, Thomas King, Brian Robinson, Faith Fitzpatrick
Point of Contact:
Sheng, Jian
Texas A&M University-Corpus Christi / Department of Engineering
6300 Ocean Drive Unit 5797
Corpus Christi, Texas  78412
USA
jian.sheng@tamucc.edu
Funding Source:
RFP-IV
 
Extent Description:
Dataset contain simulation results, no field sampling involved, simulations are related to near shore environment

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

Lin Zhao, Michel C. Boufadel, Xiaolong Geng, Kenneth Lee, Thomas King, Brian Robinson, Faith Fitzpatrick. 2016. Prediction of the formation of oil particle aggregates (OPA) in near shore environment. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N74F1NR7

Abstract:

Dataset of model comparison, and oil trapped in different zones (e.g. swash zone and surf zone) through oil-particle interactions in a typical near shore environment. These data were predicted by A-DROP model. The results has been published in Marine Pollution Bulletin (doi:10.1016/j.marpolbul.2016.02.057)

Purpose:

To provide knowledge of the formation of oil particle aggregates, especially in near shore environment.

Theme Keywords:

oil-particle aggregation, oil trapping efficiency, OPA formation, near shore environment

File Format:

xlsx

Filename:

dataset for A-drop formation of OPAs.xlsx (258.57 KB)

Dataset Downloads:

8

Prediction of the formation of oil particle aggregates (OPA) in near shore environment



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R4.x259.190-0008-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Michel Boufadel
      Organisation name: 
          New Jersey Institute of Technology / Department of Civil and Environmental Engineering
      Position name: 
          Professor
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
                  9735965657
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  435 Colton Hall
                  323 MLK Blvd
              City: 
                  Newark
              Administrative area: 
                  New Jersey
              Postal code: 
                  07102
              Country: 
                  USA
              Electronic mail address: 
                  michel.boufadel@njit.edu
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:56+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/R4.x259.190:0008
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Identification info: Data identification: Citation: Citation: Title: Prediction of the formation of oil particle aggregates (OPA) in near shore environment Alternate title: Date: Date: Date: 2016-04-08 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N74F1NR7 title: DOI doi:10.7266/N74F1NR7 Abstract: Dataset of model comparison, and oil trapped in different zones (e.g. swash zone and surf zone) through oil-particle interactions in a typical near shore environment. These data were predicted by A-DROP model. The results has been published in Marine Pollution Bulletin (doi:10.1016/j.marpolbul.2016.02.057) Purpose: To provide knowledge of the formation of oil particle aggregates, especially in near shore environment. Status: Progress code: completed Point of contact: Responsible party: Individual name: Jian Sheng Organisation name: Texas A&M University-Corpus Christi / Department of Engineering Position name: Associate Professor Contact info: Contact: Phone: Telephone: Voice: 3618253731 Facsimile: Address: Address: Delivery point: 6300 Ocean Drive Unit 5797 City: Corpus Christi Administrative area: Texas Postal code: 78412 Country: USA Electronic mail address: jian.sheng@tamucc.edu Role: Role code: pointOfContact Point of contact: Responsible party: Individual name: Michel Boufadel Organisation name: New Jersey Institute of Technology / Department of Civil and Environmental Engineering Position name: Professor Contact info: Contact: Phone: Telephone: Voice: 9735965657 Facsimile: Address: Address: Delivery point: 435 Colton Hall 323 MLK Blvd City: Newark Administrative area: New Jersey Postal code: 07102 Country: USA Electronic mail address: michel.boufadel@njit.edu Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: oil-particle aggregation Keyword: oil trapping efficiency Keyword: OPA formation Keyword: near shore environment Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: Lin Zhao, Michel C. Boufadel, Xiaolong Geng, Kenneth Lee, Thomas King, Brian Robinson, Faith Fitzpatrick. 2016. Prediction of the formation of oil particle aggregates (OPA) in near shore environment. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N74F1NR7 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. Resource constraints: title: Liability and Warranty Legal constraints: Other constraints: All materials on this website are made available to GRIIDC and in turn to you "as-is." Content may only be submitted by an individual who represents and warrants that s/he has sufficient rights to be able to make the content available under a CC0 waiver. There is no warranty (expressed or implied) to these materials, their title, accuracy, non-infringement of third party rights, or fitness for any particular purpose, including the performance or results you may obtain from their use. Use these materials at your own risk. Under no circumstances shall GRIIDC be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use or the inability to use either this website or the materials available via this website. If you are dissatisfied with any website feature, content, or terms of use, your sole and exclusive remedy is to discontinue use. Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Zhao, L., Boufadel, M. C., Geng, X., Lee, K., King, T., Robinson, B., & Fitzpatrick, F. (2016). A-DROP: A predictive model for the formation of oil particle aggregates (OPAs). Marine Pollution Bulletin, 106(1-2), 245–259. doi:10.1016/j.marpolbul.2016.02.057 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1016/j.marpolbul.2016.02.057 title: DOI doi:10.1016/j.marpolbul.2016.02.057 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: environment Topic category: Topic category code: oceans Extent: Extent: Description: Dataset contain simulation results, no field sampling involved, simulations are related to near shore environment Supplemental Information: Fig 5 volume fraction data, oil droplet diameter (μm). Fig 6 oil trapping efficiency (OTE) and oil to sediment ratio (OSR) data for particle concentration Cp=100mg/L, shaking time (min), OTE(%), OSR (mg oil/mg sediment). Fig 7 oil trapping efficiency (OTE) and oil to sediment ratio (OSR) data for particle concentration Cp=200mg/L, shaking time (min), OTE(%), OSR (mg oil/mg sediment). Fig 8 oil trapping efficiency (OTE) and oil to sediment ratio (OSR) data for particle concentration Cp=400mg/L, shaking time (min), OTE(%), OSR (mg oil/mg sediment). Fig 9 Oil concentration of oil trapped in OPAs, and number fraction of OPAs, oil droplet size (μm), oil concentration (kg/m3). Fig 10 oil trapping efficiency (OTE) and oil to sediment ratio (OSR) data for the case of Khelifa et al (2008), Cp/Co (particle concentration to oil concentration), OTE(%), OSR (mg oil/mg sediment). Fig 14 Oil concentration in three states - free oil, suspended OPAs, and negatively buoyant OPAs, residence time (s), oil concentration (kg/m3), oil trapping efficiency (%). Fig 15 Oil concentration data as free oil and trapped in suspended OPAs in three zones, breaker zone, surf zone, and swash zone, oil droplet size (μm), oil concentration (kg/m3). Fig 16 Oil concentration data trapped in three states - free oil, suspended OPAs, and negatively buoyant OPAs under different scenarios, residence time (min), oil concentration (kg/m3). Fig 16a - swash zone: Cp=5000 mg/L, surf zone: Cp=200 mg/L; Fig 16b - swash zone: Cp=10000 mg/L, surf zone: Cp=200 mg/L; Fig 16c - swash zone: Cp=5000 mg/L, surf zone: Cp=1000 mg/L. Cp is particle concentration. Fig 17 Oil concentration data in suspended and negatively buoyant OPAs at 30 min, 1 hr, and 2 hr, oil droplet size (μm), oil concentration (kg/m3). |||||
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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: xlsx Version: inapplicable File decompression technique: Distributor transfer options: Digital transfer options: Transfer size: 0.2586 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R4.x259.190:0008 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: R4.x259.190:0008 on 2021-10-20T11:19:38-05:00
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