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Estimating excess noise from deep sea mining: a simulated test case

E. SILVA, D. VIEGAS, A. MARTINS, J. ALMEIDA, C. ALMEIDA, B. NEVES, P. MADUREIRA, A.J. WHEELER, G. SALAVASIDIS, A. PHILLIPS, A. SCHAAP, B. MURTUN, A. BERRY, A. WEIR, G. DOOLY, E. OMERDIC, D. TOAL, P.C. COLLINS, M. MIRANDA, C. PETRIOLI, C. BARRERA-RODRIGUEZ, D. DEMOOR, G. El SERAFY, S.M. JESUS, J. DANOBEITA, V. TEGAS, S. CUSI, L. LOPES, B. BODO, L. BEGUERY, S. VanDAM, J. DUMORTIER, L. NEVES, T.G. DAHLGREEN, J. THOMASSEN HESTETUN, R. EIRAS, R. CALDEIRA, C.ROSSI, J. SPEARMAN, L. SOMOZA, F.J. GONZALEZ, R. BARTOLOME, P. BAHUREL

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Ref.: OCEANS MTS/IEEE, Limerick (Ireland), June 2023

Abstract:
TRIDENT aims to contribute to a sustainable exploitation of seabed mineral resources, by developing a reliable, transparent and cost-effective system for prediction and continuous environmental impact monitoring of exploration and exploitation activities in the deep sea. This system will develop and integrate technology and novel solutions to operate autonomously in remote areas under extreme conditions and provide real-time data to authorities responsible for permits and supervision. The effective monitoring and inspection system to be developed will comply with international and national legal frameworks. TRIDENT will identify all relevant physical, chemical, geological and biological parameters to be measured at the sea surface, mid-water and seabed and will also identify gaps in existing data sets, developing solutions to address them. These are essential steps to obtain statistically robust environmental baselines, establish reliable indicators of good environmental status and define thresholds for significant impact, enabling the standardization of tools and methods. The project consortium will subsequently develop and test an integrated system of static and mobile observatory platforms equipped with the latest automatic sensors and samplers to measure environmental parameters on mining and reference areas at representative spatial and temporal scales. To support quick actions for preventing serious harm to the environment, the system will implement high-capacity data handling pipelines able to collect, transmit, process and display monitoring data in near real time. Finally, it will provide technological and systemic solutions for forecasting potential environmental impacts of using the developed monitoring and mitigation methods.



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