JOURNAL ARTICLE
A Review Study on Interactions Between the Deep-Sea Benthonic Mining Vehicle and the Marine Sediment.
Published In: Journal of Marine Environmental Engineering, 2024, v. 11, n. 2. P. 95 1 of 3
Database: Environment Complete 2 of 3
Authored By: XUGUANG CHEN; TIANYI XU; GEN LI; LUBAO LUAN 3 of 3
Abstract
Developments of modern industrialization heavily depend on energy resources, leading to the rapid decrease of land-mineral resources. As a result, the exploitation of marine resources, including the coastwise oil and gas resources, and the benthonic metallic mineral resources in the abysmal sea, has gained its popularity in the industrial community. This paper mainly focuses on developments of exploiting the deep-sea benthonic metallic mineral resources and presents a review on recent studies about interactions between the deep-sea benthonic mining vehicle and the marine sediment. For that, the recently reported benthonic crawlermounted vehicles are summarized firstly. Following that, responses of soils subjected to movements of the crawler-mounted vehicle, characteristics of pressure-sinkage relationship and of shear stress-shear displacement relationship reported in the literature are presented. Finally, some existing problems that existed in the current studies and future prospects about the deep-sea mining vehicle are presented in the conclusion. This study is capable of providing a basic understanding of the current researching status of the deep-sea benthonic mining vehicle. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Marine Environmental Engineering. 2024/01, Vol. 11, Issue 2, p95
- Document Type:Article
- Subject Area:Mining and Mineral Resources
- Publication Date:2024
- ISSN:1061-026X
- DOI:10.32908/JMEE.v11.2024080701
- Accession Number:177768836
- Copyright Statement:Copyright of Journal of Marine Environmental Engineering is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.