中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios

文献类型:期刊论文

作者Juanle,Wang2,3; Xuehua,Han2; Kun,Bu1; Jianghao,Wang2; Haishuo,Wei2; Kai,Cheng2
刊名IOP Conference Series: Earth and Environmental Science
出版日期2020-06-01
卷号509期号:1
ISSN号1755-1307
DOI10.1088/1755-1315/509/1/012059
英文摘要Abstract Based on the development of resource disciplines and their conformity with the demand of sustainable development, this paper analyzes the framework of a big-data-driven resource discipline innovation platform, as well as big data-driven scenarios with the application of typical resource discipline scientific research activities. The three typical application scenarios of this paper are as follows: (1) the ecological risk prevention and control of traffic and pipelines in the China-Mongolia-Russia Economic Corridor; (2) a resource and environmental carrying capacity assessment in Beijing-Tianjin-Hebei; and (3) a big-data-driven panoramic evaluation of beautiful China.
语种英语
WOS记录号IOP:1755-1307-509-1-012059
出版者IOP Publishing
源URL[http://ir.igsnrr.ac.cn/handle/311030/158350]  
专题中国科学院地理科学与资源研究所
作者单位1.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun130103, China
2.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3.Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
推荐引用方式
GB/T 7714
Juanle,Wang,Xuehua,Han,Kun,Bu,et al. Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios[J]. IOP Conference Series: Earth and Environmental Science,2020,509(1).
APA Juanle,Wang,Xuehua,Han,Kun,Bu,Jianghao,Wang,Haishuo,Wei,&Kai,Cheng.(2020).Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios.IOP Conference Series: Earth and Environmental Science,509(1).
MLA Juanle,Wang,et al."Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios".IOP Conference Series: Earth and Environmental Science 509.1(2020).

入库方式: OAI收割

来源:地理科学与资源研究所

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