Probability distribution for size and mass of a nodule in the KR5 area for the development of a manganese nodule miner SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 2 time in Scopus
Title
Probability distribution for size and mass of a nodule in the KR5 area for the development of a manganese nodule miner
Author(s)
Kim, Saekyeol; Cho, Su-gil; Lim, Woochul; Lee, Tae Hee; Park, Sanghyun; Hong, Sup; Kim, Hyung-Woo; Min, Cheon-Hong; Choi, Jong-Su; Ko, Young-Tak; Chi, Sang-Bum
KIOST Author(s)
Ko, Youngtak(고영탁)Chi, Sang Bum(지상범)
Publication Year
2019-01
Abstract
In this paper, probability distribution for the size and mass of seafloor manganese nodules is investigated to improve the reliability of a pick-up device in a deep-sea manganese nodule miner. Because the size and mass of the manganese nodules are strongly correlated, statistical models for the size and mass cannot be estimated independently. In order to consider the correlation between the size and mass in a statistical model, the joint probability density function (PDF) is estimated by using copula. This method requires the estimation of the marginal distributions and copula for the two correlated environmental variables. However, this is significantly difficult when there is no prior knowledge of the two physical properties. The proposed method, which employs the Akaike information criterion to select the fittest marginal distributions and copula, provides a systematic procedure to determine a statistical model of correlated environmental variables without any prior knowledge of their distributions. To demonstrate the effectiveness of the proposed method, the joint PDF for the size and mass of manganese nodules is modeled by using the multivariate normal distribution and the proposed method. It was found that the proposed method provides more accurate and reliable estimation results for the two correlated environmental variables.
ISSN
0029-8018
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/699
DOI
10.1016/j.oceaneng.2018.10.041
Bibliographic Citation
OCEAN ENGINEERING, v.171, pp.131 - 138, 2019
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Akaike information criterion; Clarion-Clipperton fracture zone; Copula; Deep-sea manganese nodule miner; Joint probability density function; Seafloor manganese nodules
Type
Article
Language
English
Document Type
Article
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Related Researcher
Research Interests

deep sea mineral resources,deep sea sediments,심해저 광물자원,심해저 퇴적물,심해 환경

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