Premium
Quantitative Geoscience and Geological Big Data Development: A Review
Author(s) -
Jianping CHEN,
Jie XIANG,
Qiao HU,
Wei YANG,
Zili LAI,
Bin HU,
Wei WEI
Publication year - 2016
Publication title -
acta geologica sinica ‐ english edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 61
eISSN - 1755-6724
pISSN - 1000-9515
DOI - 10.1111/1755-6724.12782
Subject(s) - blueprint , big data , earth science , china , geological survey , data science , cloud computing , computer science , geology , archaeology , geography , geophysics , engineering , data mining , mechanical engineering , operating system
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.