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面向渤海生态环境的数据库管理系统设计与实现

Design and Implementation of Database Management System for the Bohai Sea Ecological Environment

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【作者】 王瑞; 于晓霞; 叶敏; 梁生康; 杨燕群; 韦志国; 聂婕; 魏志强; 王修林;

【Author】 Wang Rui;Yu Xiaoxia;Ye Min;Liang Shengkang;Yang Yanqun;Wei Zhiguo;Nie Jie;Wei Zhiqiang;Wang Xiulin;Faculty of Information Science and Engineering, Ocean University of China;Shandong Academy for Environemntal Planning;College of Chemistry and Chemical Engineering, Ocean University of China;The Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China;Frontiers Science Center for Deep Ocean Multispheres and Earth System;

【通讯作者】 叶敏;梁生康;

【机构】 中国海洋大学信息科学与工程学部; 山东省生态环境规划研究院; 中国海洋大学化学化工学院; 中国海洋大学海洋化学理论与工程技术教育部重点实验室; 深海圈层与地球系统前沿科学中心;

【摘要】 本文针对渤海生态环境大数据管理的迫切需求,构建了以原始数据库、原始归集数据库、标准数据库和功用数据库为基础的递进式数据管理模式,并以元信息表和编码表为基础,实现了多层级的数据库检索功能,对发展和完善海量多模态生态环境数据的管理和挖掘提供了有力的理论和实践依据。

【Abstract】 The Bohai Sea is one of the sea areas with the most prominent environmental problems in my country’s coastal waters. In recent years, in order to improve the environmental problems of the Bohai Sea, the authers has established a relatively complete environmental monitoring network and calculation model in the Bohai Rim region, and accumulated a wealth of land and sea ecological environment monitoring, survey, statistics and calculation data. However, there are huge challenges in the effective organization and management of eco-environmental data across time and space, multi-scale and multi-factor. In view of the urgent needs of the big data management of the ecological environment of the Bohai Sea, We constructs a progressive data management mode based on the original database, the original collection database, the standard database and the functional database. The multi-level database retrieval function provides a strong theoretical and practical basis for the development and improvement of the management and mining of massive multi-modal ecological environment data.

【关键词】 渤海; 数据库; 编码; 检索;
【Key words】 BohaiSea; database; coding; retrieval;
【基金】 国家重点研究发展计划项目(2018YFC1407600);国家自然科学基金面上项目(62072418,62172376);山东省重大创新工程项目(2019JZZY020705);中国海洋大学创新交叉团队培育计划人工智能和近海环境预测预报项目资助~~
  • 【文献出处】 中国海洋大学学报(自然科学版) ,Periodical of Ocean University of China , 编辑部邮箱 ,2022年08期
  • 【分类号】X321;TP311.13
  • 【下载频次】664
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