A GIS-based Quantitative Prediction of Seafloor Massive Sulfide on Ultraslow-spreading Ridges: a Case Study of SWIR 48.7° E - 50.5° E

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ADS bibcode
2020AGUFMV007.0001L
year
2020
Listed Authors
Liu, L.
Tao, C.
Shili, L., VI
Listed Institutions
Jilin University, Jilin, China
Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
State Oceanic Administration, Key Laboratory of Submarine Geosciences, Second Institute of Oceangraphy, Hangzhou, China

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