A sediment sampling system for monitoring plume redeposition from deep-sea polymetallic nodule mining

Jiale Wu , Jiawang Chen , Xinghui Tan , Kaichuang Wang , Jianling Zhou , Zhangyong Jin , Congchi Huang , Yuan Lin , Chunsheng Wang , Junyi Yang , Shiquan Lin

Int J Min Sci Technol ›› 2025, Vol. 35 ›› Issue (11) : 1975 -1987.

PDF (5717KB)
Int J Min Sci Technol ›› 2025, Vol. 35 ›› Issue (11) :1975 -1987. DOI: 10.1016/j.ijmst.2025.08.010
Research article
research-article

A sediment sampling system for monitoring plume redeposition from deep-sea polymetallic nodule mining

Author information +
History +
PDF (5717KB)

Abstract

The spatiotemporal characterization of plume sedimentation and microorganisms is critical for developing plume ecological monitoring model. To address the limitations of traditional methods in obtaining high-quality sediment, a novel sampling system with 6000 m operational capability and three-month endurance was developed. It is equipped with three sediment samplers, a set of formaldehyde preservation solution injection devices. The system is controlled by a low-power, timing-triggered controllers. To investigate low-disturbance rheological mechanisms, gap controlled rheological tests were conducted to optimize the structural design of the sampling and sealing assembly. Stress-controlled shear rheological tests were employed to investigate the mechanisms governing yield stress in sediments under varying temperature conditions and boundary roughness. Additionally, the coupled Eulerian-Lagrangian (CEL) method and sediment rheological constitutive models were employed to simulate tube-soil interaction dynamics and sediment disturbance. The radial heterogeneity of sediment disturbance and friction variation of the sampling tube were revealed. The tube was completely “plugged” at a penetration depth of 261 mm, providing critical data support to the penetration depth parameters. The deep-sea pressure test and South China Sea field trials demonstrated the system’s capability to collect and preserve quantitative time-series sediment samples with high fidelity.

Keywords

Plume sedimentation / Numerical simulation / Rheological test / Time-series preservation / Low-power control

Cite this article

Download citation ▾
Jiale Wu, Jiawang Chen, Xinghui Tan, Kaichuang Wang, Jianling Zhou, Zhangyong Jin, Congchi Huang, Yuan Lin, Chunsheng Wang, Junyi Yang, Shiquan Lin. A sediment sampling system for monitoring plume redeposition from deep-sea polymetallic nodule mining. Int J Min Sci Technol, 2025, 35(11): 1975-1987 DOI:10.1016/j.ijmst.2025.08.010

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgments

This study was supported by the National Key R&D Program of China (No. 2022YFC2803900), the National Natural Science Foun-dation of China (No. 42276191), and Zhejiang University Students Science and Technology Innovation Activity Plan (New Talent Plan)(No. 2024R401185).

References

[1]

Sitlhou L, Chakraborty P. Comparing deep-sea polymetallic nodule mining technologies and evaluating their probable impacts on deep-sea pollution. Mar Pollut Bull 2024;206:116762.

[2]

Dacey J. Deep-sea mining may have deep economic, environmental impacts. Eos 2020;101.

[3]

Haalboom S, Stigter HCD, Mohn C, Vandorpe T, Smit M, Jonge LD, Reichart GJ. Monitoring of a sediment plume produced by a deep-sea mining test in shallow water, Málaga Bight, Alboran Sea (southwestern Mediterranean Sea). Mar Geol 2023;456:106971.

[4]

Sharma R, Nagender Nath B, Parthiban G, Jai SS. Sediment redistribution during simulated benthic disturbance and its implications on deep seabed mining. Deep Sea Res Part II Top Stud Oceanogr 2001; 48(16):3363-80.

[5]

Haalboom S, Schoening T, Urban P, Gazis IZ, de Stigter H, Gillard B, Baeye M, Hollstein M, Purkiani K, Reichart GJ, Thomsen L, Haeckel M, Vink A, Greinert J. Monitoring of anthropogenic sediment plumes in the Clarion-Clipperton Zone, NE equatorial Pacific Ocean. Front Mar Sci 2022;9:882155.

[6]

Peukert A, Schoening T, Alevizos E, Köser K, Kwasnitschka T, Greinert J. Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data. Biogeosciences 2018; 15(8):2525-49.

[7]

Gazis IZ, de Stigter H, Mohrmann J, Heger K, Diaz M, Gillard B, Baeye M, Veloso Alarcón ME, Purkiani K, Haeckel M, Vink A, Thomsen L, Greinert J. Monitoring benthic plumes, sediment redeposition and seafloor imprints caused by deep-sea polymetallic nodule mining. Nat Commun 2025;16:1229.

[8]

Marco K, Goyal S, Kaur R. A review of underwater wireless sensor networks deployment techniques and challenges. Babylon J Netw 2024;2024:111-21.

[9]

Homer SW, Thomas P, Matthew A. Monitoring deep-sea mining’s effects new instrument to measure sediment properties in mining plumes. Sea Technol 2020;61:13-6.

[10]

Zhou QX, Ge YQ, Zhou P, Chen JW, Mei DQ. A novel error compensation framework for MEMS sensor array applied to seabed terrain deformation monitoring. IEEE Sens J 2025; 99(1).

[11]

Liu DS, Jin YP, Wan BY, Peng YD, Huang XJ. Review and development trends of deep-sea mineral resource core sampling technology and equipment. China Mech Eng 2014; 25(23):3255-65. in Chinese.

[12]

Xu JR, Wang YS, Yin JP, Lin JP. New series of corers for taking undisturbed vertical samples of soft bottom sediments. Mar Environ Res 2011; 71(4):312-6.

[13]

Tulaczyk S, Mikucki JA, Siegfried MR, Priscu JC, Barcheck CG, Beem LH, Behar A, Burnett J, Christner BC, Fisher AT, Fricker HA, Mankoff KD, Powell RD, Rack FR, Sampson D, Scherer RP, Schwartz SY. the Wissard Science Team. WISSARD at subglacial Lake Whillans, west Antarctica: Scientific operations and initial observations. Ann Glaciol 2014; 55(65):51-8.

[14]

Curry W, Broda J, Keigwin L, Mountain G, Pisias N. A new long coring system for R/V Knorr. EOS Trans Am Geophys Union 2008; 89(15):142-3.

[15]

Huang HC. Study of gas-tight deep-sea water sampling system based on pressure self-adaptive equalization. J Mech Eng 2010; 46(12):148.

[16]

Chen JW, Huang Y, Lin Y, Zhou P, Fang YP, Le XL, Wang YH. A novel sediment pressure sampling device carried by a Hadal-rated lander. J Mar Sci Eng 2020; 8 (11):839.

[17]

Wang H, Ruan DR, Cao C, Fang JS, Zhou P, Fang YP, Chen JW. Collection sediment from Mariana Trench with a novel pressure-retaining sampler. Deep Sea Res Part I Oceanogr Res Pap 2022;183:103740.

[18]

Guo J, Chen JW, Ren ZQ, Wang H, Zhang PH, Wang W, Wang Y, Zhou P, Gao QL, Ren XY, Lin Y. Pressure-retaining sampler for sediment and overlying seawater based on heavy duty ROV-Jellyfish. Deep Sea Res Part I Oceanogr Res Pap 2023;196:104007.

[19]

Lefaible N, Macheriotou L, Pape E, Molari M, Haeckel M,Zeppilli D, Vanreusel

[20]

A. Industrial mining trial for polymetallic nodules in the Clarion-Clipperton Zone indicates complex and variable disturbances of meiofaunal communities. Front Mar Sci 2024;11:1380530.

[21]

Lin Y, Phan-Thien N, Lee JBP, Khoo BC. Concentration dependence of yield stress and dynamic moduli of kaolinite suspensions. Langmuir 2015; 31 (16):4791-7.

[22]

Nasser MS, James AE. Settling and sediment bed behaviour of kaolinite in aqueous media. Sep Purif Technol 2006; 51(1):10-7.

[23]

Lin Y, Cheah LK, Phan-Thien N, Khoo BC. Effect of temperature on rheological behavior of kaolinite and bentonite suspensions. Colloids Surf A Physicochem Eng Aspects 2016;506:1-5.

[24]

Lin Y, Wang W, Zhu H, Chen JW, Phan-Thien N, Pan DY. Size effect of the parallel-plate geometry on the rheological behavior of bentonite suspensions. J Rheol 2020; 64(1):111-7.

[25]

Qiu G, Henke S, Grabe J. Application of a coupled Eulerian-Lagrangian approach on geomechanical problems involving large deformations. Comput Geotech 2011; 38(1):30-9.

[26]

Qin HW, Cai Z, Hu HM, Wang JJ, Ye W, Chen Y. Numerical analysis of gravity coring using coupled Eulerian-Lagrangian method and a new corer. Mar Georesour Geotechnol 2016; 34(5):403-8.

[27]

Tommasi P, Avalle A, Budillon F, Romeo R, Caburlotto A, Conforti A, Di Martino G, Pagliaroli A, Magagnoli M, Urgeles R, Llopart J, Camerlenghi A. Evaluation of disturbance induced on soft offshore sediments by two types of gravity piston coring techniques. Mar Geol 2019;417:106005.

[28]

Liu CF, Chen ZL, Zhao Y, Li JP, Wang W, Yi JT. Vertical dynamic response of a pile in three-dimensional saturated soils considering construction disturbance. Ocean Eng 2025;329:121097.

[29]

Liu CF, Chen ZL, Zhao Y, Liu J, Yi JT, Qi DK. Torsional dynamic response of a pile embedded in layered unsaturated viscoelastic soils. J Build Eng 2025;100:111773.

[30]

Ge YQ, Chen JW, Zhang PH, Cao C, Le XL, Ai JK, Zhou P, Liang T. A novel technique for seabed strata deformation in situ monitoring. Front Mar Sci 2022;9:987319.

[31]

Ge YQ, He JM, Guo J, Zhang PH, Wang H, Ren ZQ, Le XL, Wang Y, Wang YH, Chen JW. Research on the sampling performance of a new bionic gravity sampler. J Zhejiang Univ SCIENCE A 2023; 24(8):692-709.

[32]

Yang Y, Kou HL, Li ZH, Jia YG, Zhu CQ. Normalized stress-strain behavior of deep-sea soft soils in the northern South China Sea. J Mar Sci Eng 2022; 10 (8):1142.

[33]

Song LQ. Geotechnical properties of oceanic polymetallic nodule sediments. Acta Oceanol Sin 1999; 21(6):47-54. in Chinese.

[34]

Gao Y, Zhou Y, Guo W, Fu YF, Gao S, Wei ZZ, Sun HM, Sun Y. Design and optimization of multipoint sampler for seafloor sediment carried by a deep-sea landing vehicle. J Mar Sci Eng 2022; 10(12):1937.

[35]

Alkattan H, Abbas NR, Adelaja OA, Abotaleb M, Ali GM. Data mining utilizing various leveled clustering procedures on the position of workers in a data innovation firm. Mesopotamian J Comput Sci 2024;2024:104-9.

[36]

Salloum S, Norozpour S. XAI-IDS: A transparent and interpretable framework for robust cybersecurity using explainable artificial intelligence. Shifra 2025;2025:69-80.

[37]

Ge YQ, Chen JW, Jin ZY, Zhang CY, Mei DQ. Design and experiment of a pulsed thermal probe system for in situ thermal conductivity measurement of deep-sea sediments. Case Stud Therm Eng 2025;74:106803.

[38]

Ameedeen MA, Hamid RA, Aldhyani THH, Al-Nassr LAKM, Olatunji SO, Subramanian P. A framework for automated big data analytics in cybersecurity threat detection. Mesopotamian J Big Data 2024;2024: 175-84.

PDF (5717KB)

64

Accesses

0

Citation

Detail

Sections
Recommended

/