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A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations

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Journal of Geographical Sciences 2017年第12期27卷 1431-1449页

作者： FANG Chuanglin zhou chenghu GU Chaolin CHEN Liding LI Shuangcheng Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China School of Architecture Tsinghua University Beijing 100084 China Research Center for Eco-Environmental Sciences CAS Beijing 100875 China College of Urban and Environmental Sciences Peking University Beijing 100871 China

Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-envi- ronment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theo- retical analysis of the interactive coupling mechanisms and coercing effects between ur- banization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomera- tions. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.

关键词： mega-urban agglomeration urbanization eco-environment interactive coupled effects coupling theory process of theoretical analysis

Geoscience knowledge graph in the big data era

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Science China Earth Sciences 2021年第7期64卷 1105-1114页

作者： chenghu zhou Hua WANG Chengshan WANG Zengqian HOU Zhiming ZHENG Shuzhong SHEN Qiuming CHENG Zhiqiang FENG Xinbing WANG Hairong LV Junxuan FAN Xiumian HU Mingcai HOU Yunqiang ZHU State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China School of Earth Sciences and Resources China University of Geosciences(Beijing)Beijing 100083China Key Laboratory of Deep-Earth Dynamics of Ministry of Natural Resources Institute of GeologyChinese Academy of Geological SciencesBeijing 100037China Institute of Artificial Intelligence Beihang UniversityBeijing 100191China State Key Laboratory for Mineral Deposits Research School of Earth Sciences and EngineeringNanjing UniversityNanjing 210023China Sinopec Petroleum Exploration&Production Research Institute Beijing 100083China School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Tsinghua UniversityBeijing 100084China Institute of Sedimentary Geology Chengdu University of TechnologyChengdu 610059China

Since the beginning of the 21 st century,the geoscience research has been entering a significant transitional period with the establishment of a new knowledge system as the core and with the drive of big data as the *** is a revolutionary leap in the research of geoscience knowledge discovery from the traditional encyclopedic discipline knowledge system to the computer-understandable and operable knowledge *** on adopting the graph pattern of general knowledge representation,the geoscience knowledge graph expands the unique spatiotemporal features to the Geoscience knowledge,and integrates geoscience knowledge elements,such as map,text,and number,to establish an all-domain geoscience knowledge representation model.A federated,crowd intelligence-based collaborative method of constructing the geoscience knowledge graph is developed here,which realizes the construction of high-quality professional knowledge graph in collaboration with global *** also develop a method for constructing a dynamic knowledge graph of multi-modal geoscience data based on in-depth text analysis,which extracts geoscience knowledge from massive geoscience literature to construct the latest and most complete dynamic geoscience knowledge graph.A comprehensive and systematic geoscience knowledge graph can not only deepen the existing geoscience big data analysis,but also advance the construction of the high-precision geological time scale driven by big data,the compilation of intelligent maps driven by rules and data,and the geoscience knowledge evolution and reasoning analysis,among *** will further expand the new directions of geoscience research driven by both data and knowledge,break new ground where geoscience,information science,and data science converge,realize the original innovation of the geoscience research and achieve major theoretical breakthroughs in the spatiotemporal big data research.

关键词： Geoscience knowledge graph All-domain geoscience knowledge representation model Federated crowd intelligence collaboration High-precision geological time scale

中国城市绿色发展效率时空演变特征及影响因素

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地理学报 2019年第10期74卷 2027-2044页

作者：周亮车磊周成虎兰州交通大学测绘与地理信息学院兰州730070 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室北京100101 西北师范大学地理与环境科学学院兰州730070

绿色发展作为化解自然环境约束、破解经济转型难题、支撑和实现全球可持续发展目标(SDGs)关键。正逐渐成为中国生态文明建设、美丽中国建设和全球经济转型与重构的重要指导理念。在梳理绿色发展概念与内涵基础上,采用SBM-Undesirable模... 详细信息

绿色发展作为化解自然环境约束、破解经济转型难题、支撑和实现全球可持续发展目标(SDGs)关键。正逐渐成为中国生态文明建设、美丽中国建设和全球经济转型与重构的重要指导理念。在梳理绿色发展概念与内涵基础上,采用SBM-Undesirable模型、泰尔指数和空间马尔科夫链等方法,对2005-2015年中国城市绿色发展效率时空分异特征及其演变过程进行了测度与刻画,并进一步耦合自然与人文因素定量探讨了人地关系地域系统下的影响机制。研究表明:① 2005-2015年中国城市绿色发展效率稳步提升,由0.475增加到0.523,总体提高了10%,时序上呈现“W”型波动增加的阶段性演变特征。②中国城市绿色发展效率呈现出“东中西”阶梯状递减的区域差异规律,不同类型城市群具有“国家级>区域性>地方性”倒金字塔式集群增长特征,形成了“超大城市>特大城市>大城市>中等城市>小城市”稳定等级规模结构。③中国城市绿色发展效率空间集聚特征显著,高效率城市存在正向溢出效应,低效率城市则负向溢出影响,“高高集聚、高带动低”的空间俱乐部趋同现象较为凸显,不同类型城市演化存在显著的路径依赖与时空惯性。④人地关系地域系统视角下,人文社会因素对城市绿色发展效率影响程度大于自然本底要素,其中经济实力、产业结构、开放程度和城市气温呈现积极促进作用。

关键词：绿色发展效率空间马尔科夫时空演变人地关系可持续发展目标

Structure and contents of layered classification system of digital geomorphology for China

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Journal of Geographical Sciences 2011年第5期21卷 771-790页

作者： CHENG Weiming zhou chenghu LI Bingyuan SHEN Yuancun ZHANG Baiping State Key Laboratory of Resources and Environmental Information Systems Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China

This paper presents the structure and contents of a standardized layered classification system of digital geomorphology for *** digital classification method combines landforms characteristics of morphology with genesis.A total of 15 categories of exogenic and endogenic forces are divided into two broad categories：morpho-genetic and morpho-structural *** patches are used to manage the morpho-genetic types,and solitary points,lines and polygons are used to manage the morpho-structural *** classification method of digital morpho-genetic types can be divided into seven layers,*** morphology and altitude,genesis,sub-genesis,morphology,micro-morphology,slope and aspect,material and *** method proposes combinations of matrix forms based on layered *** attributes of every landform types are obtained from all or some of the seven *** the 15 forces categories,some classification indicators and calculation methods are presented for the basic morphology,the morphologic and sub-morphologic landforms of the morpho-genetic *** solitary polygon,linear and point types of morpho-structural landforms are presented *** layered classification method can meet the demands of scale-span geomorphologic mapping for the national primary scales from 1：500,000 to 1：1,000,*** layers serve as classification indicators,and therefore can be added and reduced according to mapping demands,providing flexible expandability.

关键词： digital geomorphology classification system morpho-genesis morpho-structure layered classification method

Stress tensor determination by modified hydraulic tests on pre-existing fractures:Method and stress constraints

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1637-1648页

作者： Guiyun Gao chenghu Wang Ke Gao National Institute of Natural Hazards Ministry of Emergency Management of ChinaBeijing100085China Beijing Engineering Research Center of Earthquake Observation Beijing100085China Key Laboratory of Compound and Chained Natural Hazards Dynamics Ministry of Emergency Management of ChinaBeijing100085China Department of Earth and Space Sciences Southern University of Science and TechnologyShenzhen518055China

The hydraulic testing of pre-existing fractures(HTPF)is one of the most promising in situ stress measurement methods,particularly for three-dimensional stress tensor ***,the stress tensor determination based on the HTPF method requires at least six tests or a minimum of 14-15 tests(under different conditions)for reliable *** this study,we modified the HTPF method by considering the shear stress on each pre-existing fracture,which increased the number of equations for the stress tensor determination and decreased the number of tests *** shear stresses were attributed to different fractures by random sampling;therefore,the stress tensors were obtained by searching for the optimal solution using the least squares criterion based on the Monte Carlo ***,we constrained the stress tensor based on the tensile strength criterion,compressive strength criterion,and vertical stress *** inverted stress tensors were presented and analyzed based on the tensorial nature of the stress using the Euclidean mean stress *** stress-measurement campaigns in Weifang(Shandong Province,China)and Mercantour road tunnel(France)were implemented to highlight the validity and efficiency of the modified HTPF(M-HTPF)*** results showed that the M-HTPF method can be applied for stress tensor inversion using only three to four tests on pre-existing fractures,neglecting the stress *** inversion results were confined to relatively small distribution dispersions and were significantly reliable and stable due to the shear stresses on the fractures and the stress constraints *** M-HTPF method is highly feasible and efficient for complete stress tensor determination in a single borehole.

关键词： Stress tensor Hydraulic tests on pre-existing fractures Mean stress Stress constraint Hydraulic fracturing

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自然资源要素综合观测体系专辑序言

资源科学 2020年第10期42卷 1837-1838页

作者：周成虎中国科学院地理科学与资源研究所北京100101

自然资源是人类生产和发展的重要物质基础,合理开发利用和保护自然资源是人类所面临的永恒主题,而科学、系统地实施对自然资源各要素的观测与监测则是其基本前提。2018年10月,自然资源部发布《自然资源科技创新发展规划纲要》,明确将"... 详细信息

自然资源是人类生产和发展的重要物质基础,合理开发利用和保护自然资源是人类所面临的永恒主题,而科学、系统地实施对自然资源各要素的观测与监测则是其基本前提。2018年10月,自然资源部发布《自然资源科技创新发展规划纲要》,明确将"自然资源要素综合观测网络工程"列为十二项重大科技工程之首,定位为国家自然资源管理和生态文明建设的战略性、基础性、紧迫性的系统工程,核心就是要为全面、系统掌握我国自然资源状况、深入贯彻落实习近平生态文明思想、践行山水林田湖草生命共同体的理念、服务我国自然资源统一管理提供系统、科学和长期的观测依据。

关键词：自然资源状况自然资源管理自然资源要素自然资源部网络工程重大科技工程资源统一管理生态文明建设

Dynamic analysis of evapotranspiration based on remote sensing in Yellow River Delta

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Journal of Geographical Sciences 2003年第4期13卷 408-415页

作者： PAN Zhiqiang, LIU Gaohuan, zhou chenghu(State Key Laboratory of Resource and Environment Information System, Institute ofGeographic Sciences and Natural Resources Research, CAS, Beijing 100101, China) Institute of Geographic Sciences and Natural Resources Research CAS State Key Laboratory of Resource and Environment Information System 北京 Institute of Geographic Sciences and Natural Resources Research CAS State Key Laboratory of Resource and Environment Information System 北京 100101

Evapotranspiration (ET) is an important parameter for water resource management. Compared to the traditional ET computation and measurement methods, the ET computation method based on remote sensing has the advantages of quickness, precision, raster mapping and regional scale. SEBAL, an ET computation model using remote sensing method is based on the surface energy balance equation which is a function of net radiance flux, soil heat flux, sensible heat flux and latent heat flux. The former three fluxes can be computed through the parameters retrieved from remote sensing image, then the latent heat flux can be obtained to provide energy for ET. Finally we can obtain the daily ET. In this study SEBAL was applied to compute ET in the Yellow River Delta of China where water resource faces a rigorous situation. Three Landsat TM images and meteorology data of 1999 were used for ET computation, and spatial and temporal change patterns of ET in the Yellow River Delta were analysed.

关键词： evapotranspiration remote sensing Yellow River Delta

GIScience and remote sensing in natural resource and environmental research:Status quo and future perspectives

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Geography and Sustainability 2021年第3期2卷 207-215页

作者： Tao Pei Jun Xu Yu Liu Xin Huang Liqiang Zhang Weihua Dong Chengzhi Qin Ci Song Jianya Gong chenghu zhou State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchCAS11ADatun Road AnwaiBeijing 100101China Institute of Remote Sensing and Geographical Information Systems School of Earth and Space SciencesPeking UniversityBeijing 100871China School of Remote Sensing and Information Engineering Wuhan UniversityWuhan 430079China Faculty of Geographical Science Beijing Normal UniversityBeijing 100875China University of Chinese Academy of Sciences Beijing 100049China

Geographic information science(GIScience)and remote sensing have long provided essential data and method-ological support for natural resource challenges and environmental problems *** increasing advances in information technology,natural resource and environmental science research faces the dual challenges of data and computational ***,the role of remote sensing and GIScience in the fields of natural resources and environmental science in this new information era is a key concern of *** study clarifies the definition and frameworks of these two disciplines and discusses their role in natural resource and environmental *** is the discipline that studies the abstract and formal expressions of the basic concepts and laws of geography,and its research framework mainly consists of geo-modeling,geo-analysis,and *** sensing is a comprehensive technology that deals with the mechanisms of human ef-fects on the natural ecological environment system by observing the earth surface *** main areas include sensors and platforms,information processing and interpretation,and natural resource and environmental *** and remote sensing provide data and methodological support for resource and environmental science *** play essential roles in promoting the development of resource and environmental science and other related *** paper provides forecasts of ten future directions for GIScience and eight future directions for remote sensing,which aim to solve issues related to natural resources and the environment.

关键词： Natural resource Environmental science GIScience Remote sensing Information technology

Spatio-temporal evolution and the influencing factors of PM_(2.5) in China between 2000 and 2015

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Journal of Geographical Sciences 2019年第2期29卷 253-270页

作者： zhou Liang zhou chenghu YANG Fan CHE Lei WANG Bo SUN Dongqi Faculty of Geomatics Lanzhou Jiaotong University Institute of Geographic Sciences and Natural Resources Research CAS School of Geographic and Oceanographic Sciences Nanjing University College of Geography and Environment Sciences Northwest Normal University Department of Geography The University of Hong Kong

High concentrations of PM_(2.5) are universally considered as a main cause for haze formation. Therefore, it is important to identify the spatial heterogeneity and influencing factors of PM_(2.5) concentrations for regional air quality control and management. In this study, PM_(2.5) data from 2000 to 2015 was determined from an inversion of NASA atmospheric remote sensing images. Using geo-statistics, geographic detectors, and geo-spatial analysis methods, the spatio-temporal evolution patterns and driving factors of PM_(2.5) concentration in China were evaluated. The main results are as follows.(1) In general, the average concentration of PM_(2.5) in China increased quickly and reached its peak value in 2006; subsequently, concentrations remained between 21.84 and 35.08 μg/m3.(2) PM_(2.5) is strikingly heterogeneous in China, with higher concentrations in the north and east than in the south and west. In particular, areas with relatively high PM_(2.5) concentrations are primarily in four regions, the Huang-Huai-Hai Plain, Lower Yangtze River Delta Plain, Sichuan Basin, and Taklimakan Desert. Among them, Beijing-Tianjin-Hebei Region has the highest concentration of PM_(2.5).(3) The center of gravity of PM_(2.5) has generally moved northeastward, which indicates an increasingly serious haze in eastern China. High-value PM_(2.5) concentrations have moved eastward, while low-value PM_(2.5) has moved westward.(4) Spatial autocorrelation analysis indicates a significantly positive spatial correlation. The "High-High" PM_(2.5) agglomeration areas are distributed in the Huang-Huai-Hai Plain, Fenhe-Weihe River Basin, Sichuan Basin, and Jianghan Plain regions. The "Low-Low" PM_(2.5) agglomeration areas include Inner Mongolia and Heilongjiang, north of the Great Wall, Qinghai-Tibet Plateau, and Taiwan, Hainan, and Fujian and other southeast coastal cities and islands.(5) Geographic detection analysis indicates that both natural and anthropogenic factors account for spatial va

关键词： air pollution PM_(2.5) haze spatio-temporal evolution environmental influence China