Data

WAMSI 2 - Dredging Node - 3.1.1 - Review of Plume Characteristics

Australian Ocean Data Network
Broomhall, Mark, Mr (Author) Fearns, Peter, Dr (Author, Point of contact)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/de2bdcc7-909d-462b-9252-997df88cefba&rft.title=WAMSI 2 - Dredging Node - 3.1.1 - Review of Plume Characteristics&rft.identifier=de2bdcc7-909d-462b-9252-997df88cefba&rft.publisher=Australian Ocean Data Network&rft.description=Predicting the distribution and fate for suspended sediment plumes associated with dredge operations may be achieved by advanced hydrodynamic modelling (REFS). The accuracy of the model outputs, or the level of confidence we associate with the modelled forecasts, depend to some degree on the model inputs, including parameters such as particle size distributions, particle densities, and particle settling rates. There is potential to infer optical products from the modelled 3 dimensional plume distribution, including spectral light attenuation, and spectral light intensity at the substrate. One of the approaches to testing or monitoring the accuracy of plume distribution models is to compare the modelled distributions to observed plume distributions. Optical remote sensing methods can provide reliable “maps” of plume extent, and reasonable estimates of various in-water geophysical parameters. Examples of remote sensing products include suspended sediment concentration, particle backscattering, and spectral light attenuation coefficients. This review encompasses two main components: 1) Satellite and in situ observations used to monitor sediment plumes and assess the suitability of the different sensor platforms to provide the spatial and temporal resolution needed for model validation and calibration in WAMSI Dredging Theme 3.4. Remote sensing platforms will include MODIS data and high resolution products such as WorldView and RapidEye; 2) Available water quality data (such as TSS levels, light levels, sediment deposition rate, particle size distribution etc.) collected in Western Australia and associated with different types of dredges working in different geotechnical settings and metocean conditions.Statement: TBC&rft.creator=Broomhall, Mark, Mr&rft.creator=Fearns, Peter, Dr&rft.date=2017&rft.coverage=westlimit=112.88; southlimit=-26.8; eastlimit=129; northlimit=-13.5&rft.coverage=westlimit=112.88; southlimit=-26.8; eastlimit=129; northlimit=-13.5&rft_rights=Creative Commons Attribution-Noncommercial-Share Alike 2.5 Australia License http://creativecommons.org/licenses/by-nc-sa/2.5/au/&rft_rights=*All users must acknowledge the source of the material with the acknowledgment*: Data sourced from Western Australian Marine Science Institution (WAMSI) project funded by Western Australian State Government and research partners and carried out by <insert authors> from <insert organisations>&rft_rights=*Suggested attribution for use in citation*: [author(s)], Western Australian Marine Science Institution (WAMSI), [author organisation(s)], [year-of-data-download], [title], [data-access-URL], data accessed (YYYY-MM-DD).&rft_rights=*Disclaimer*: WAMSI and its Partners data, products and services are provided as is and WAMSI and its Partners do not warrant their fitness for a particular purpose. WAMSI and its Partners have made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. WAMSI and its Partners make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, WAMSI and its Partners exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_subject=environment&rft_subject=oceans&rft_subject=SEDIMENT TRANSPORT&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=COASTAL PROCESSES&rft_subject=TURBIDITY&rft_subject=MARINE SEDIMENTS&rft_subject=VISIBLE RADIANCE&rft_subject=SPECTRAL/ENGINEERING&rft_subject=VISIBLE WAVELENGTHS&rft_subject=Dredging&rft_subject=Remote sensing&rft_subject=Sediment transport&rft_subject=Hydrodynamics&rft_subject=Numerical models&rft_subject=TSS&rft_subject=MODIS&rft_subject=Plume&rft_subject=WorldView&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution-Noncommercial-Share Alike 2.5 Australia License
http://creativecommons.org/licenses/by-nc-sa/2.5/au/

*All users must acknowledge the source of the material with the acknowledgment*: "Data sourced from Western Australian Marine Science Institution (WAMSI) project funded by Western Australian State Government and research partners and carried out by from "

*Suggested attribution for use in citation*:
"[author(s)], Western Australian Marine Science Institution (WAMSI), [author organisation(s)], [year-of-data-download], [title], [data-access-URL], data accessed (YYYY-MM-DD)".

*Disclaimer*:
WAMSI and its Partners data, products and services are provided "as is" and WAMSI and its Partners do not warrant their fitness for a particular purpose. WAMSI and its Partners have made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. WAMSI and its Partners make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, WAMSI and its Partners exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

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Brief description

Predicting the distribution and fate for suspended sediment plumes associated with dredge operations may be achieved by advanced hydrodynamic modelling (REFS). The accuracy of the model outputs, or the level of confidence we associate with the modelled forecasts, depend to some degree on the model inputs, including parameters such as particle size distributions, particle densities, and particle settling rates. There is potential to infer optical products from the modelled 3 dimensional plume distribution, including spectral light attenuation, and spectral light intensity at the substrate. One of the approaches to testing or monitoring the accuracy of plume distribution models is to compare the modelled distributions to observed plume distributions. Optical remote sensing methods can provide reliable “maps” of plume extent, and reasonable estimates of various in-water geophysical parameters. Examples of remote sensing products include suspended sediment concentration, particle backscattering, and spectral light attenuation coefficients. This review encompasses two main components: 1) Satellite and in situ observations used to monitor sediment plumes and assess the suitability of the different sensor platforms to provide the spatial and temporal resolution needed for model validation and calibration in WAMSI Dredging Theme 3.4. Remote sensing platforms will include MODIS data and high resolution products such as WorldView and RapidEye; 2) Available water quality data (such as TSS levels, light levels, sediment deposition rate, particle size distribution etc.) collected in Western Australia and associated with different types of dredges working in different geotechnical settings and metocean conditions.

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Statement: TBC

Created: 23 07 2014

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129,-13.5 129,-26.8 112.88,-26.8 112.88,-13.5 129,-13.5

120.94,-20.15

text: westlimit=112.88; southlimit=-26.8; eastlimit=129; northlimit=-13.5

Subjects
COASTAL PROCESSES | Dredging | EARTH SCIENCE | Hydrodynamics | MARINE SEDIMENTS | MODIS | Numerical models | OCEANS | Plume | Remote sensing | Sediment Transport | SPECTRAL/ENGINEERING | Sediment transport | TSS | Turbidity | Visible Radiance | VISIBLE WAVELENGTHS | WorldView | environment | oceans |

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(Optical_remote_sensing_for_dredge_plume_monitoring_Review_WAMSI_DSN_Report_3.1.1_Fearns_et_al_2017_FINAL.pdf)

uri : https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/de2bdcc7-909d-462b-9252-997df88cefba/attachments/Optical_remote_sensing_for_dredge_plume_monitoring_Review_WAMSI_DSN_Report_3.1.1_Fearns_et_al_2017_FINAL.pdf

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  • global : de2bdcc7-909d-462b-9252-997df88cefba
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