RV METEOR Fahrtbericht / Cruise Report M143: SLOGARO: Slope failures and active gas expulsion along the Romanian margin – investigating relations to gas hydrate distribution, Varna (Romania) – Heraklion (Greece), 12.12.-22.12.2017

Riedel, Michael; Gausepohl, Florian; Gazis, Iason-Zois; Hähnel, Line; Kampmeier, Mareike; Urban, Peter; Bialas, Jörg

doi:10.3289/geomar_rep_ns_42_2018

Cited by 3 publications

(2 citation statements)

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“…2. Survey path with real vessel motion: Same as the previous scenario, but includes real vessel motion data (roll, pitch, yaw, heave, and ping spacing) from a survey line recorded during Meteor Expedition M143 (Riedel et al 2018). For each simulation, a different random period within the recorded motion data is chosen to modify the MBES movement.…”

Section: Simulation Settings and Scenariosmentioning

confidence: 99%

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Echo grid integration: A novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions

Urban

Veloso

Greinert

2023

Limnology & Ocean Methods

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Water column imaging multibeam echo sounder systems (MBESs) are a promising technology for quantitative estimates of the gas bubble volume flow within large gas seepage areas. Considerable progress has been made in recent years toward applicable calibration methods for MBESs as well as developing inversion models to convert acoustically measured backscattering cross sections to gas bubble volume flow. However, MBESs are still not commonly used for quantitative gas flow assessments. A reason for this is the absence of published processing methods that demonstrate how MBES data can be processed to quantitatively represent bubble streams. Here, we present a novel method (echo grid integration) that allows for assessing the aggregated backscattering cross section of targets within horizontal water layers. This derived value enables quantifying bubble stream gas flow rates using existing acoustic inversion methods. The presented method is based on averaging geo-referenced volume backscattering coefficients onto a high-resolution 3D voxel-grid. The results are multiplied with the voxel volume to represent measurements of the total backscattering cross-section within each voxel cell. Individual gridded values cannot be trusted because the beam pattern effects cause the values of individual targets to "smear" over multiple grid-cells. The true aggregated backscattering cross-section is thus estimated as the integral over the grid-cells affected by this smearing. Numerical simulation of MBES data acquisition over known targets assesses the method's validity and quantify it's uncertainty for different, realistic scenarios. The found low measurement bias (< 1%), and dispersion (< 5%) are promising for application in gas flow quantification methods.

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Section: Simulation Settings and Scenariosmentioning

confidence: 99%

“…The remaining simulated survey settings and MBES parameters (Table 1) represent conditions of a real water column imaging survey that was conducted to detect and quantify gas bubble streams at the shelf of the Black Sea during M143 using a Kongsberg EM710 MBES (Riedel et al 2018).…”

Section: Simulation Settings and Scenariosmentioning

confidence: 99%

Echo grid integration: A novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions

Urban

Veloso

Greinert

2023

Limnology & Ocean Methods

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M143 raw data of EM122 multibeam echosounder (bathymetry, beam time series & water column data)

Riedel¹

2018

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M143 raw data of EM710 multibeam echosounder (bathymetry, beam time series & water column data)

Riedel

2018

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RV METEOR Fahrtbericht / Cruise Report M143: SLOGARO: Slope failures and active gas expulsion along the Romanian margin – investigating relations to gas hydrate distribution, Varna (Romania) – Heraklion (Greece), 12.12.-22.12.2017

Cited by 3 publications

References 0 publications

Echo grid integration: A novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions

Echo grid integration: A novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions

M143 raw data of EM122 multibeam echosounder (bathymetry, beam time series & water column data)

M143 raw data of EM710 multibeam echosounder (bathymetry, beam time series & water column data)

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