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数学地球科学跨越发展的十年:大数据、人工智能算法正在改变地质学 被引量:86
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作者 周永章 左仁广 +6 位作者 刘刚 袁峰 毛先成 郭艳军 肖凡 廖杰 刘艳鹏 《矿物岩石地球化学通报》 CAS CSCD 北大核心 2021年第3期556-573,共18页
近十年是科学研究从问题驱动向数据驱动转变的转折时期,科学研究的第四范式—数据密集型科学发现应势而生。这期间,大数据与人工智能算法的引入使数学地球科学实现跨越式发展,并正在改变地质学。机器学习是使计算机具有智能的根本途径... 近十年是科学研究从问题驱动向数据驱动转变的转折时期,科学研究的第四范式—数据密集型科学发现应势而生。这期间,大数据与人工智能算法的引入使数学地球科学实现跨越式发展,并正在改变地质学。机器学习是使计算机具有智能的根本途径。深度学习,即多层神经网络的方法,是一种实现机器学习的技术,是过去几年大数据与数学地球科学研究的最重要的热点。贝叶斯网络是贝叶斯公式和图论结合的产物,可用来建立矿床地质的成因网络,进而理解矿床成因。地质大图形问题可以转化为大型的复杂网络空间问题和社区结构问题,社区分析技术可用于地震预报、地质网络分析、特殊地质现象识别、矿床预测。关联规则和推荐系统算法在地质研究中已有成功的应用实例。化探数据及其异常经常包含复杂和非线性模式,深度学习在智能识别与提取复杂地质条件下地球化学异常具有优异的能力,卷积神经网络、堆叠自编码机等是较为常用和有效的方法。非线性矿产资源预测、基于GIS和三维地质建模的三维成矿预测及相应的软件系统得到持续改进。三维虚拟仿真建模技术的应用实现了多模态、跨尺度地学虚拟现实与多维交互,地质过程数值模拟等已有创新性进展。区块链技术以及OneGeology、玻璃地球、深时数字地球等大地质科学计划,将在整合全球地质大数据、共享全球地学知识、推动数学地球科学学科发展方面起到重大的推动作用。 展开更多
关键词 地质大数据 度学习 人工智能算法 区块链 数字地球 矿产资源预测 数学地球科学
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Future China-Africa research collaboration in geoscience:Challenges and opportunities
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作者 Michael H.STEPHENSON Hassina MOURI +5 位作者 Gbenga OKUNLOLA CHENG Li WANG Meng ZHAO Yu GU Liping WANG Chengshan 《地学前缘》 北大核心 2025年第1期459-465,共7页
At the 19th G20 Summit in Brazil in November 2024,China promoted the development of sustainable solutions to climate change,biodiversity loss,and environmental pollution.This continued the theme of the 2016 G20 Hangzh... At the 19th G20 Summit in Brazil in November 2024,China promoted the development of sustainable solutions to climate change,biodiversity loss,and environmental pollution.This continued the theme of the 2016 G20 Hangzhou Summit,at which China placed development at the center of the G20’s macroeconomic policy coordination for the first time,adopting the G20 Action Plan on the United Nations 2030 Agenda for Sustainable Development and the G20 Initiative on Supporting Industrialization in Africa and Least Developed Countries.In Brazil,China announced actions on advancing modernization in Africa over the next three years with a Chinese commitment of RMB360 billion yuan in financial support.In this article,we examine the potential role of geoscience research and practice in development,particularly in the sustainable use of natural resources,the prevention of climate change impacts,as well as mitigation of geo-hazards and their health implications,indicating the areas where China’s geoscience for Africa is strong and where it requires more effort.We find that although China is the world’s leading publisher of scientific papers,its contribution to geoscience in Africa(the globe’s fastest-growing economic area),as shown by bibliometric research,appears to be rather small and inconsistent with the research priorities of Africa.Amongst the priorities for geoscience research in Africa,which are not addressed substantially by the research conducted so far,are sustainable mineral and hydrocarbon development,hydrology and hydrogeology,climate change and resilience,natural hazards,medical geology,agrominerals,and geoscience education and training.A particular opportunity for African nations is the presence of critical minerals-minerals needed for the energy transition and for batteries for electric cars in particular.Africa is well-endowed with many of these critical materials,such as rare earth elements and platinum group metals.Several research groups stress the need for the agency on the part of African institutions to map out these valuable resources,understand their value and the economics and sustainability of their extraction,encourage local business,attract investment,and scrutinize proposals from potential international investors to get the best deals.A strong point of existing China-led geoscience development includes the Deep-time Digital Earth(DDE)program online computing platform and its artificial intelligence tool GeoGPT,which is being developed in partnership with Zhejiang Laboratory.These are being developed with strong China funding support for free and wide global access,with a particular focus on Africa.These advanced tools will help to place the agency of development squarely in the hands of African scientists and institutions.In summary,the following are recommended:(1)a more coordinated and strategic approach to China-led geoscience research in Africa;(2)an Africa-centered,geoscience funding initiative that concentrates on relevant topics to the continent such as critical minerals exploration and other geological resources,materials and processes and their health implications on the populations and ecosystems in general,as well as climate change and climate change resilience;and(3)continued support for China-led international initiatives that seek to increase the agency and capacity of Africa geoscience researchers,for example the Deep-time Digital Earth platform. 展开更多
关键词 open science sustainable development digital empowerment China-Africa geo-collaboration Deep-Time Digital Earth
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顾及全生命周期的国际大洋钻探科学数据模型构建与管理服务方法研究 被引量:2
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作者 孙昊阳 林冰仙 +1 位作者 周良辰 闾国年 《地球信息科学学报》 EI CSCD 北大核心 2024年第3期638-653,共16页
国际大洋钻探计划是地球科学中规模巨大、历时长久的国际合作项目,其数据具有来源复杂、存储分散、格式多样等特征。现有岩芯、测井、文献等数据库平台建设较早,数据组织不统一、检索条件单一、分析应用困难,缺少集成且多样的可视化及... 国际大洋钻探计划是地球科学中规模巨大、历时长久的国际合作项目,其数据具有来源复杂、存储分散、格式多样等特征。现有岩芯、测井、文献等数据库平台建设较早,数据组织不统一、检索条件单一、分析应用困难,缺少集成且多样的可视化及分析工具,不利于数据的统一管理、有效整合、高效调度、广泛共享和综合利用。针对上述问题,论文首先剖析了全生命周期的国际大洋钻探科学数据产生流程和组织形式,并分析国际大洋钻探数据要素分类和描述体系,构建了顾及全生命周期的国际大洋钻探科学数据模型,在此基础上,提出包含数据组织、数据查询和专题制图的国际大洋钻探科学数据整合和服务应用框架,设计基于弹性搜索引擎数据冷热分离的数据存储、基于要素按需整合思想的数据查询和可定制可配置的钻孔数据专题制图方法,最后开展了在线验证平台研发实践。研究结果表明,本数据模型及应用框架具备支持数据统一存储、多要素查询和灵活制图等能力和特点,可为科学大数据的高效管理和应用提供借鉴。 展开更多
关键词 国际大洋钻探计划 科学数据 数据模型 数据整合 数据组织 数据服务 数据共享 数字地球
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