Discussion on Hierarchical Classification System of Digital Management of Marine Natural Resources in the Era of Big Data

  • Shisheng Wang
  • , Yamin Yang
  • , Jianjun Jia
  • , Jianying Yang*
  • , Ziang Zhu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The exploration and construction of the natural resource management system in the new era has put forward the demand for reasonable hierarchical classification of marine natural resources management. This paper intends to use digital management of marine natural resources to explore the construction of hierarchical classification system of digital management of marine natural resources under the background of big data. Based on systematic review of previous literatures, this paper analyzes the current research of marine natural resources classification system at home and abroad, and makes an in-depth analysis of the key problems and challenges faced by marine natural resources classification. Based on the construction of natural resource management system in the new era, and combined with the unique attributes of ocean, the concept of marine natural resources is re-determined, and suggestions have been put forward to establish a hierarchical classification system for digital management of marine natural resources: The spatial structure of marine natural resources data is divided into seabed matrix layer (with underground resource layer), marine overburden layer (with seabed overburden layer and seawater resource layer) and management layer. Marine natural resources are subdivided into marine material resources, marine energy resources, and marine spatial resources. Based on this, the digital management of marine natural resources information can better integrate into and support the unified management system of natural resources.

Original languageEnglish
Title of host publication10th Academic Conference of Geology Resource Management and Sustainable Development 2022
EditorsHenry Zhang, Changbo Cheng
PublisherAussino Academic Publishing House
Pages1204-1213
Number of pages10
ISBN (Electronic)9781713867821
DOIs
StatePublished - 2022
Event10th Academic Conference of Geology Resource Management and Sustainable Development 2022 - Beijing, China
Duration: 17 Dec 202218 Dec 2022

Publication series

Name10th Academic Conference of Geology Resource Management and Sustainable Development 2022
Volume3

Conference

Conference10th Academic Conference of Geology Resource Management and Sustainable Development 2022
Country/TerritoryChina
CityBeijing
Period17/12/2218/12/22

Keywords

  • big data
  • concept determination
  • data space
  • digital management
  • hierarchical classification system
  • marine natural resources
  • organizational structure

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