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引用本文:李笑语,于仁成,牟乃夏,耿慧霞,王治鹏,史金浩,薛润生.有害藻华数据分析与可视化平台的设计.海洋与湖沼,2023,54(1):58-66.
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有害藻华数据分析与可视化平台的设计
李笑语1,2, 于仁成1,3,4,5, 牟乃夏6, 耿慧霞1, 王治鹏6, 史金浩6, 薛润生6
1.中国科学院海洋研究所 中国科学院海洋生态与环境科学重点实验室 山东青岛 266071;2.国家海洋局北海环境监测中心 山东青岛 266033;3.青岛海洋科学与技术试点国家实验室 海洋生态与环境科学功能实验室 山东青岛 266237;4.中国科学院大学 北京 100049;5.中国科学院海洋大科学研究中心 山东青岛 266071;6.山东科技大学测绘与空间信息学院 山东青岛 266590
摘要:
有害藻华是海洋中最为常见的一类生态灾害问题,对养殖业、旅游业和公众健康等造成了严重威胁,也给海洋管理带来了巨大的挑战。近年来,与有害藻华相关的生物、化学、水文、气象等观测数据以及有害藻华发生记录等统计数据不断积累,统计学方法、地理信息系统(Geographic Information System,GIS)等数据分析方法也在快速发展,为深入挖掘有害藻华时空演变特征、提高有害藻华监测预警水平奠定了重要基础。该研究综合应用数据库、地理信息系统及可视化技术,设计了一套集有害藻华多源异构数据管理、分析与可视化为一体的综合平台,能够实现对有害藻华相关数据的存储和动态关联,并集成了空间分析方法,实现了数据和分析产品的可视化。该研究以渤海有害藻华长期时空演变特征探究为案例,展示了该平台在有害藻华数据分析与可视化方面应用效果。该平台可望为公众科普、科学分析和政府决策等提供支撑。
关键词:  有害藻华  软件系统  数据库  地理信息系统  可视化
DOI:10.11693/hyhz20220500137
分类号:X55;P208
基金项目:中国科学院战略性先导科技专项A类,XDA19060203号。
附件
DESIGN OF INTEGRATED PLATFORM FOR ANALYSIS AND VISUALIZATION OF HARMFUL ALGAL BLOOMS
LI Xiao-Yu1,2, YU Ren-Cheng1,3,4,5, MOU Nai-Xia6, GENG Hui-Xia1, WANG Zhi-Peng6, SHI Jin-Hao6, XUE Run-Sheng6
1.CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;2.North China Sea Environmental Monitoring Center, State Oceanic Administration, Qingdao 266033, China;3.Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;4.University of Chinese Academy of Sciences, Beijing 100049, China;5.Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;6.College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Abstract:
As one of the marine ecological disasters, harmful algal blooms (HABs) may have severe impacts on mariculture, tourism, and public health, which has brought a big challenge to marine management. At present, a huge amount of HABs data generated in a long time have been accumulated in the fields of biology, chemistry, hydrology, meteorology, statistics, and methodology. Especially, statistical methods, geographic information system (GIS) tools etc. have been rapidly advanced in recent years, which has laid an important foundation for further exploring the space-time evolution characteristics of HABs and improving the monitoring and early warning level of harmful algal blooms. In this study, a database integrating GIS tools and visualization technology was designed as a comprehensive platform for better data management and application. The platform realizes the dynamic join and storage scalability of multi-sourced HAB data and integrates various methods for spatial analysis and visualization of data and products. A case study was conducted using this platform on the long-term temporal and spatial evolution of HABs in the Bohai Sea. The platform provided an efficient support for popularization of science, scientific research, and governmental decision-making.
Key words:  harmful algal bloom  software system  database  geographic information system (GIS)  visualization
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