Quantitative Geoscience and Geological Big Data Development: A Review

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• 作者：CHEN Jianping ; XIANG Jie ; HU Qiao ; YANG Wei ; LAI Zili ; HU Bin and WEI Wei
• 刊名：Acta Geologica Sinica - English Edition
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：90
• 期：4
• 页码：1490-1515
• 全文大小：27516K
• ISSN：1755-6724

文摘

After long-term development, mathematical geology has today become an independent discipline. Big Data science, which has become a new scientific paradigm in the 21^st century, gives rise to the geological Big Data, i.e. mathematical geology and quantitative geoscience. Thanks to a robust macro strategy for big data, China's quantitative geoscience and geological big data's rapid development meets present requirements and has kept up with international levels. This paper presents China's decade-long achievements in quantitative prediction and assessment of mineral resources, geoscience information and software systems, geological information platform development, etc., with an emphasis on application of geological big data in informatics, quantitative mineral prediction, geological environment and disaster management, digital land survey, digital city, etc. Looking ahead, mathematical geology is moving towards “Digital Geology”, “Digital Land” and “Geological Cloud”, eventually realizing China's grand “Digital China” blueprint, and these valuable results will be showcased on the international academic arena.