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Deep submergence science takes a new approach
Author(s) -
Fornari Daniel J.,
Humphris Susan E.,
Perfit Michael R.
Publication year - 1997
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/97eo00259
Subject(s) - deep water , deep sea , testbed , seafloor spreading , computer science , deep learning , water column , geology , oceanography , artificial intelligence , environmental science , world wide web
From 1965 to 1985, deep submergence technology and science relied heavily on human‐occupied submersibles. DSV Alvin has played a significant role, both as a testbed for technical development and for conducting basic research in the water column and on the deep seafloor. Human presence is extremely valuable and still essential for many facets of deep submergence science. However, in order to permit routine access to the deep ocean for repeated measurements over long periods of time, a new class of remotely operated vehicles was needed.

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