Monitoring of Anthropogenic Sediment Plumes in the Clarion-Clipperton Zone, NE Equatorial Pacific Ocean

The abyssal seafloor in the Clarion-Clipperton Zone (CCZ) in the NE Pacific hosts the largest abundance of polymetallic nodules in the deep sea and is being targeted as an area for potential deep-sea mining. During nodule mining, seafloor sediment will be brought into suspension by mining equipment, resulting in the formation of sediment plumes, which will affect benthic and pelagic life not naturally adapted to any major sediment transport and deposition events. To improve our understanding of sediment plume dispersion and to support the development of plume dispersion models in this specific deep-sea area, we conducted a small-scale, 12-hour disturbance experiment in the German exploration contract area in the CCZ using a chain dredge. Sediment plume dispersion and deposition was monitored using an array of optical and acoustic turbidity sensors and current meters placed on platforms on the seafloor, and by visual inspection of the seafloor before and after dredge deployment. We found that seafloor imagery could be used to qualitatively visualise the redeposited sediment up to a distance of 100 m from the source, and that sensors recording optical and acoustic backscatter are sensitive and adequate tools to monitor the horizontal and vertical dispersion of the generated sediment plume. Optical backscatter signals could be converted into absolute mass concentration of suspended sediment to provide quantitative data on sediment dispersion. Vertical profiles of acoustic backscatter recorded by current profilers provided qualitative insight into the vertical extent of the sediment plume. Our monitoring setup proved to be very useful for the monitoring of this small-scale experiment and can be seen as an exemplary strategy for monitoring studies of future, upscaled mining trials. We recommend that such larger trials include the use of AUVs for repeated seafloor imaging and water column plume mapping (optical and acoustical), as well as the use of in-situ particle size sensors and/or particle cameras to better constrain the effect of suspended particle aggregation on optical and acoustic backscatter signals.

[1]  M. Walter,et al.  Impact of a long-lived anticyclonic mesoscale eddy on seawater anomalies in the northeastern tropical Pacific Ocean: a composite analysis from hydrographic measurements, sea level altimetry data, and reanalysis model products , 2022, Ocean Science.

[2]  J. Aguzzi,et al.  Assessing plume impacts caused by polymetallic nodule mining vehicles , 2022, Marine Policy.

[3]  M. Baeye,et al.  Tidally Driven Dispersion of a Deep-Sea Sediment Plume Originating from Seafloor Disturbance in the DISCOL Area (SE-Pacific Ocean) , 2021, Geosciences.

[4]  M. Baeye,et al.  Numerical Simulation of Deep-Sea Sediment Transport Induced by a Dredge Experiment in the Northeastern Pacific Ocean , 2021, Frontiers in Marine Science.

[5]  G. Reichart,et al.  Suspended particulate matter in a submarine canyon (Whittard Canyon, Bay of Biscay, NE Atlantic Ocean): Assessment of commonly used instruments to record turbidity , 2021, Marine Geology.

[6]  M. Walter,et al.  Evidence of eddy-related deep-ocean current variability in the northeast tropical Pacific Ocean induced by remote gap winds , 2020, Biogeosciences.

[7]  Astrid B. Leitner,et al.  Opinion: Midwater ecosystems must be considered when evaluating environmental risks of deep-sea mining , 2020, Proceedings of the National Academy of Sciences.

[8]  K. Köser,et al.  Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin , 2020 .

[9]  Mark Lee,et al.  Measurement and modelling of deep sea sediment plumes and implications for deep sea mining , 2020, Scientific Reports.

[10]  H. Manik,et al.  Evaluation of ADCP backscatter computation for quantifying suspended sediment concentration , 2020, IOP Conference Series: Earth and Environmental Science.

[11]  B. Nechad,et al.  Uncertainties associated with in situ high-frequency long-term observations of suspended particulate matter concentration using optical and acoustic sensors , 2019, Progress in Oceanography.

[12]  Daniel O. B. Jones,et al.  Ecological risk assessment for deep-sea mining , 2019, Ocean & Coastal Management.

[13]  Roberto Danovaro,et al.  New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems. , 2019, Environmental science & technology.

[14]  L. Thomsen,et al.  Physical and hydrodynamic properties of deep sea mining-generated, abyssal sediment plumes in the Clarion Clipperton Fracture Zone (eastern-central Pacific) , 2019, Elementa: Science of the Anthropocene.

[15]  A. Davies,et al.  Oceanographic setting and short-timescale environmental variability at an Arctic seamount sponge ground , 2018, Deep Sea Research Part I: Oceanographic Research Papers.

[16]  Kevin Köser,et al.  Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data , 2018 .

[17]  M. Inall,et al.  Impact of remotely generated eddies on plume dispersion at abyssal mining sites in the Pacific , 2017, Scientific Reports.

[18]  Jens Greinert,et al.  Biological responses to disturbance from simulated deep-sea polymetallic nodule mining , 2017, PloS one.

[19]  J. Fosså,et al.  Metabolic responses of the deep-water sponge Geodia barretti to suspended bottom sediment, simulated mine tailings and drill cuttings , 2015 .

[20]  A. Hay,et al.  Acoustic backscatter inversion for suspended sediment concentration and size: A new approach using statistical inverse theory , 2015 .

[21]  Lisa M. Wedding,et al.  Managing mining of the deep seabed , 2015, Science.

[22]  A. Koschinsky,et al.  Deep-ocean mineral deposits as a source of critical metals for high- and green-technology applications: Comparison with land-based resources , 2013 .

[23]  C. German,et al.  Deep-sea mining of seafloor massive sulfides , 2010 .

[24]  Daniel R. Parsons,et al.  A new methodology for the quantitative visualization of coherent flow structures in alluvial channels using multibeam echo‐sounding (MBES) , 2010 .

[25]  J. Downing Twenty-five years with OBS sensors: The good, the bad, and the ugly , 2006 .

[26]  R. Chant,et al.  In situ particle size distributions and volume concentrations from a LISST-100 laser particle sizer and a digital floc camera , 2005 .

[27]  C. Smith,et al.  The deep-sea floor ecosystem: current status and prospects of anthropogenic change by the year 2025 , 2003, Environmental Conservation.

[28]  Jorge Guillén,et al.  Field calibration of optical sensors for measuring suspended sediment concentration in the western Mediterranean , 2000 .

[29]  L. Thomsen,et al.  Sediment erosion thresholds and characteristics of resuspended aggregates on the western European continental margin , 2000 .

[30]  Michael A. Ainslie,et al.  A simplified formula for viscous and chemical absorption in sea water , 1998 .

[31]  R. Sternberg,et al.  A video system for in situ measurement of size and settling velocity of suspended particulates , 1996 .

[32]  E. Baker,et al.  Discharge and surface plume measurements during manganese nodule mining tests in the north equatorial pacific , 1982 .

[33]  P. Halbach,et al.  The metallic minerals of the Pacific Seafloor , 1980 .

[34]  C. Delacourt,et al.  Suspended sediment concentration field quantified from a calibrated MultiBeam EchoSounder , 2021 .

[35]  J. Greinert,et al.  Digital Earth Viewer: a 4D visualisation platform for geoscience datasets , 2021 .

[36]  P. Herzig GEOMAR Helmholtz Centre for Ocean Research Kiel , 2012 .

[37]  S. Kasten,et al.  Current status of manganese nodule exploration in the German license area , 2011 .

[38]  S. Lane,et al.  Monitoring Suspended Sediment Dynamics Using MBES , 2010 .

[39]  Jens Greinert,et al.  Software controlled guidance, recording and post-processing of seafloor observations by ROV and other towed devices: The software package OFOP , 2008 .

[40]  Adrian G. Glover,et al.  Aquatic Ecosystems: The near future of the deep-sea floor ecosystems , 2008 .

[41]  J. Jankowski,et al.  The mesoscale sediment transport due to technical activities in the deep sea , 2001 .

[42]  Jürgen Sündermann,et al.  Long-term propagation of tailings from deep-sea mining under variable conditions by means of numerical simulations , 2001 .

[43]  B. Grupe,et al.  The behaviour of deep-sea sediments under the impact of nodule mining processes , 2001 .

[44]  T. Yamazaki,et al.  Development of Image Analytical Technique For Resedimentation Induced By Nodule Mining , 1997 .

[45]  D. DeMaster,et al.  Biogenic budgets of particle rain, benthic remineralization and sediment accumulation in the equatorial Pacific , 1997 .