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Methodology,progress and challenges of geoscience knowledge graph in International Big Science Program of Deep-Time Digital Earth 被引量:2
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作者 ZHU Yunqiang WANG Qiang +9 位作者 WANG Shu SUN Kai WANG Xinbing LV Hairong HU Xiumian ZHANG Jie WANG Bin QIU Qinjun YANG Jie ZHOU Chenghu 《Journal of Geographical Sciences》 2025年第5期1132-1156,共25页
Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate... Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research. 展开更多
关键词 deep-time earth geoscience knowledge graph deep-time digital earth International Big Science program
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Review on status of groundwater database and application prospect in deep-time digital earth plan 被引量:3
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作者 Wenkai Qiu Teng Ma +3 位作者 Yanxin Wang Jianmei Cheng Chunli Su Junxia Li 《Geoscience Frontiers》 SCIE CAS CSCD 2022年第4期114-128,共15页
Groundwater is an important water resource.The total amount of active groundwater in a hydrological cycle is about 3.5 times that of the total amount of surface water.The information in the deep groundwater records th... Groundwater is an important water resource.The total amount of active groundwater in a hydrological cycle is about 3.5 times that of the total amount of surface water.The information in the deep groundwater records the material exchange and dynamics in the earth’s evolution,which is an important aspect of the Deep-Time Digital Earth(DDE)plan.In recent years,scientists have discussed the distribution of transboundary aquifers and the environmental significance of groundwater resources through groundwater databases established by international organizations,such as the Global Groundwater Information System and the chronicles consortium,and national institutes,such as national geological surveys.The application of the groundwater database in the DDE plan,however,has been limited by the management,interactivity,and monitoring method of the groundwater data.The ability to further integrate data that are private and scattered across research institutions and individuals,while establishing an open,unified,and shared groundwater data platform,is essential to enhance our understanding of groundwater,ranging from shallow to deep water,which is a goal of the DDE plan.In this study,we introduced the current situation of groundwater database operations in domestic and international research and provided frontier research with groundwater big data.Considering the related objectives of the DDE plan and the limitations of existing groundwater databases,we proposed an improvement plan and new prospects for applying groundwater databases in the research of the deep earth. 展开更多
关键词 deep-time digital earth Groundwater database Big data technology HYDROGEOLOGY
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“Deep-time Digital Basin” Based on Big Data and Artificial Intelligence 被引量:2
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作者 FENG Zhiqing LIAN Peiqing 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期14-16,共3页
1 Introduction Information technology has been playing an ever-increasing role in geoscience.Sphisicated database platforms are essential for geological data storage,analysis and exchange of Big Data(Feblowitz,2013;Zh... 1 Introduction Information technology has been playing an ever-increasing role in geoscience.Sphisicated database platforms are essential for geological data storage,analysis and exchange of Big Data(Feblowitz,2013;Zhang et al.,2016;Teng et al.,2016;Tian and Li,2018).The United States has built an information-sharing platform for state-owned scientific data as a national strategy. 展开更多
关键词 deep-time digital earth(DDE) deep-time digital basin(DDB) BIG data artificial intelligent knowledge base
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Sedimentological/Palaeogeographic Data as Fundamental Building Blocks of the DDE Project:Critical Underpinning of Reconstructing Deep-time Earth Systems 被引量:2
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作者 Isabel P.MONTANEZ HU Xiumian +3 位作者 HOU Mingcai WANG Chengshan CHEN Jitao 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期52-54,共3页
1 Introduction Sedimentary rocks archive important information for understanding how the earth system operates and how life and environments have evolved through earth history.Properly identifying characteristics of s... 1 Introduction Sedimentary rocks archive important information for understanding how the earth system operates and how life and environments have evolved through earth history.Properly identifying characteristics of sedimentary rocks,along with the subsequent interpretation of depositional processes and sedimentary environments in a basin or locality. 展开更多
关键词 SEDIMENTOLOGY PALAEOGEOGRAPHY earth system deep-time digital earth data science
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Progress of Earth Observation in China 被引量:3
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作者 GUO Huadong LIU Guang +2 位作者 LIANG Dong ZHANG Lu XIAO Han 《空间科学学报》 CAS CSCD 北大核心 2018年第5期797-809,共13页
Sustainability is the current theme of global development, and for China, it is not only an opportunity but also a challenge. In 2016, the Paris Agreement on climate change was adopted, addressing the need to limit th... Sustainability is the current theme of global development, and for China, it is not only an opportunity but also a challenge. In 2016, the Paris Agreement on climate change was adopted, addressing the need to limit the rise of global temperatures. The United Nations(UN) has set Sustainable Development Goals(SDGs) to transform our world in terms of closely linking human well-being, economic prosperity, and healthy environments. Sustainable development requires the support of spatial information and objective evaluation,and the capability of macroscopic, rapid, accurate Earth observation techniques plays an important role in sustainable development. Recently, Earth observation technologies are developing rapidly in China, where scientists are building coordinated, comprehensive and sustainable Earth observation systems for global monitoring programs. Recent efforts include the Digital Belt and Road Program(DBAR) and comparative studies of the "three poles". This and other researches will provide powerful support for solving problems such as global change and environmental degradation. 展开更多
关键词 地球观察系统 中国 健康环境 持续开发 可持续性 气候变化 全球温度 持续发展
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The Digital Belt and Road program in support of regional sustainability 被引量:4
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作者 Huadong Guo Jie Liu +9 位作者 Yubao Qiu Massimo Menenti Fang Chen Paul F.Uhlir Li Zhang John van Genderen Dong Liang Ishwaran Natarajan Lanwei Zhu Jiuliang Liu 《International Journal of Digital Earth》 SCIE EI 2018年第7期657-669,共13页
The Belt and Road initiative has a significant focus on infrastructure,trade,and economic development across a vast region,and it also provides significant opportunities for sustainable development.The combined pressu... The Belt and Road initiative has a significant focus on infrastructure,trade,and economic development across a vast region,and it also provides significant opportunities for sustainable development.The combined pressure of climate variability,intensified use of resources,and the fragility of ecosystems make it very challenging,however,to achieve future sustainability.To develop the path in a sustainable way,it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed approach.In this context,the Digital Belt and Road(DBAR)program was initiated as an international venture to share expertise,knowledge,technologies,and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale development.In this paper,we identify pressing challenges,present the research priorities and foci of the DBAR program,and propose solutions where big Earth data can make significant contributions.This paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national,regional and global levels. 展开更多
关键词 digital Belt and Road program(DBAR) big earth data earth observation research data international cooperation sustainable development goals(SDGs)
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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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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:116
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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 深度学习 人工智能算法 区块链 深时数字地球 矿产资源预测 数学地球科学
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Climate paleogeography knowledge graph and deep time paleoclimate classifications 被引量:3
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作者 Chenmin Yu Laiming Zhang +3 位作者 Mingcai Hou Jianghai Yang Hanting Zhong Chengshan Wang 《Geoscience Frontiers》 SCIE CAS CSCD 2023年第5期362-372,共11页
The climate paleogeography,especially the climate classifications,helps to interpret the global and regional climate changes and intuitively compare the climate conditions in different regions.However,the application ... The climate paleogeography,especially the climate classifications,helps to interpret the global and regional climate changes and intuitively compare the climate conditions in different regions.However,the application of climate classification in deep time(i.e.,climate paleogeography)is prohibited due to the usually qualitatively constrained paleoclimate and the inconsistent descriptions and semantic heterogeneity of the climate types.In this study,a climate paleogeography knowledge graph is established under the framework of the Deep-Time Digital Earth program(DDE).The hierarchical knowledge graph consists of five paleoclimate classifications based on various strategies.The classifications are described and their strengths and weaknesses are fully evaluated in four aspects:“simplicity,applicability,quantifiability,and comparability”.We also reconstruct the global climate distributions in the Late Cretaceous according to these classifications.The results are compared and the relationships among these climate types in different classifications are evaluated.Our study unifies scientific concepts from different paleoclimate classifications,which provides an important theoretical basis for the application of paleoclimate classifications in deep time. 展开更多
关键词 Climate paleogeography Knowledge graph Paleoclimate classification deep-time digital earth program
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遥感技术、数字地球与旅游资源评价及开发利用 被引量:4
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作者 骆华松 《云南师范大学学报(自然科学版)》 2000年第6期69-72,共4页
本文从旅游资源特点和研究现状中存在的问题出发 ,分别对遥感技术与数字地球在旅游资源评价和开发中的应用进行了展望 ,并提出了一定应用方向和具体步骤。
关键词 旅游资源 遥感技术 数字地球 旅游规划
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Quantitative Expression of Paleogeographic Information Based on Big Data 被引量:3
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作者 ZHAO Yingquan ZHONG Hanting +9 位作者 XU Shenglin HOU Mingcai HU Xiumian ZHANG Lei GAO Yuan ZHANG Laiming LIU Yu CAO Haiyang MU Caineng CAI Pengcheng 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期83-85,共3页
Paleogeographic analysis accounts for an essential part of geological research,making important contributions in the reconstruction of depositional environments and tectonic evolution histories(Ingalls et al.,2016;Mer... Paleogeographic analysis accounts for an essential part of geological research,making important contributions in the reconstruction of depositional environments and tectonic evolution histories(Ingalls et al.,2016;Merdith et al.,2017),the prediction of mineral resource distributions in continental sedimentary basins(Sun and Wang,2009),and the investigation of climate patterns and ecosystems(Cox,2016). 展开更多
关键词 PALEOGEOGRAPHY BIG data SEDIMENTOLOGY deep-time digital earth(DDE)
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The Sedimentological Knowledge Tree:Significance,Method and Progress 被引量:1
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作者 LI Chao HU Xiumian +3 位作者 HOU Mingcai WANG Chengshan YANG Jianghai 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第S01期34-36,共3页
On the platform of the Deep-time Digital Earth Program(DDE),sedimentary data are essential for achieving its scientific objectives.These data will take stratigraphic units as their core data carrier,for quantitative o... On the platform of the Deep-time Digital Earth Program(DDE),sedimentary data are essential for achieving its scientific objectives.These data will take stratigraphic units as their core data carrier,for quantitative or qualitative data analysis.The DDE Sedimentary Data Group is responsible for the management of the sedimentary data on the DDE platform and has now developed into a group of nearly 40 disciplinary experts. 展开更多
关键词 SEDIMENTOLOGY deep-time digital earth Data Science knowledge TREE TREE DIAGRAM
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The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program 被引量:4
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作者 Hanna K.Lappalainen Markku Kulmala +13 位作者 Joni Kujansuu Tuukka Petaja Alexander Mahura Gerrit de Leeuw Sergej Zilitinkevich Merli Juustila Veli-Matti Kerminen Bob Bornstein Zhang Jiahua Xue Yong Qiu Yubao Liang Dong Liu Jie Guo Huadong 《Big Earth Data》 EI 2018年第1期8-35,共28页
The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of China.However,climate change,air quality and related feedbacks are affe... The Silk Road Economic Belt and the 21st-Century Maritime Silk Road(B&R)aims at facilitating the twenty-first Century economic development of China.However,climate change,air quality and related feedbacks are affecting the successful development of the environment and societies in the B&R geographical domain.The most urgent risks related to the atmospheric system,to the land system and to hydrospheric and cryospheric processes are changing climate-air quality interactions,air pollution,changing monsoon dynamics,land degradation,and the melting of Tibetan Plateau glaciers.A framework is needed in which a science and technology-based approach has the critical mass and expertise to identify the main steps toward solutions and is capable to implement this roadmap.The Pan-Eurasian Experiment(PEEX)program,initiated in 2012,aims to resolve science,technology and sustainability questions in the Northern Eurasian region.PEEX is now identifying its science agenda for the B&R region.One fundamental element of the PEEX research agenda is the availability of comprehensive ground-based observations together with Earth observation data.PEEX complements the recently launched international scientific program called Digital Belt and Road(DBAR).PEEX has expertise to coordinate the ground-based observations and initiate new flagship stations,while DBAR provides a big data platform on Earth observation from China and countries along the Belt and Road region.The DBAR and PEEX have joint interests and synergy expertise on monitoring on ecological environment,urbanization,cultural heritages,coastal zones,and arctic cold regions supporting the sustainable development of the Belt and Road region.In this paper we identify the research themes of the PEEX related Silk Road agenda relevant to China and give an overview of the methodological requirements and present the infrastructure requirements needed to carry out large scale research program. 展开更多
关键词 Silk road Economic Belt air quality land-climate feedbacks earth observation data in situ observations multiscale modeling SMEa concept Pan-Eurasian Experiment(PEEX)program digital Belt and road(DBa)program
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The second law of geography for a spatially enabled economy 被引量:1
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作者 Tim Foresman Ruth Luscombe 《International Journal of Digital Earth》 SCIE EI 2017年第10期979-995,共17页
Location has proven axiomatic as an economic variable throughout human history.Tobler’s first law of geography introduced the importance of location;in that,near things are more related than far things.In an age of d... Location has proven axiomatic as an economic variable throughout human history.Tobler’s first law of geography introduced the importance of location;in that,near things are more related than far things.In an age of digital economies,a new research frontier exists where everything is more related to everything else and has an increased economic value from spatially enabled technology.The accessibility of digital-spatial information has brought economic geographers to a new understanding of markets within a Digital Earth framework.The importance of location to economic value can be expected to grow as the Internet of Things develops in sophistication.New business models enter and disrupt established markets with innovative spatially enabled approaches.A successful penetration of established markets suggests a new business model for financial and functional utility by engaging spatially enabled assets.The second law of geography is introduced as a conceptual framework to comprehend the economic potential of spatially enabled information.A comparative analysis of non-spatial versus spatial web agents provides a quantitative framework to demonstrate the benefits of the Digital Earth economy. 展开更多
关键词 Spatial data transacting agents linear programming economic geography Internet of Things digital earth economy
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