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泛第三极地质矿产数据集(2022.1-2024.1)

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国家青藏高原科学数据中心2024-01-16 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/c2439813-8214-460b-a964-cc72ef837626
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本数据库包含空间范围:①我国青藏高原、新疆;②中亚(哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦);③西亚(巴基斯坦、阿富汗、伊朗);④东南亚(泰国、越南、老挝、缅甸、柬埔寨)。数据内容主要有:①1:500万地质数据(地质体和构造);②金属矿产数据(矿床、矿点、矿化点);主要图件有:泛第三极地质矿产图(1:500万)。空间数据库采用ArcGIS平台,可为区域成矿规律研究、资源潜力评估、战略远景区圈定以及各类专题图件编制提供基础数据支撑。数据库格式为文件数据库(.GDB),图件包括工程文件(MXD)和栅格图(JPG),也可根据需要生成各类常见图形格式(PDF、TIF、EPS等)。泛第三极全区(1:500万)采用兰伯特等形圆锥投影,中央经线为东经84度,双纬分别为20度和55度。 数据来源及加工方法:基础地质数据主要来源于任继舜院士编亚洲地质图(2015)(1:500万),矿产数据主要来源包括全国矿产资源潜力评价项目成果(2012)、英国伦敦自然历史博物馆中亚矿产数据库及专题图(2014)、美国地质调查局阿富汗数据集(2008)、域内各国地质调查部门相关资料数据、域内矿产相关论文论著。此外,为满足各类数据修改及完善大量采用遥感数据,具体包括:ETM+、OLI、ASTER、Worldview等影像数据以及90m、30米、12.5mDEM数据等。数据质量描述;为满足泛第三极区域成矿规律研究、地质矿产图和成矿预测图编制需要,在数据空间准确性、逻辑一致性和数据完整性方面进行编辑、处理以及补充完善。具体包括:①矢量化,基于前述资料进行了大量矢量化工作,用于补充数字资料缺失区域(伊朗、巴基斯坦),同时根据资料更新程度合并、分割各类面要素和线要素,矢量化工作按照我国相关规范要求比例尺精度要求下完成;②拓扑处理,消除重叠面、空区等拓扑错误;③完善要素属性结构和补充要素属性内容,围绕区域成矿规律研究、地质矿产图和成矿预测图编制目标,依据我国相关规范,结合具体资料和数据内容,建立了相应数据模型,完善了地质体、构造、矿产要素类属性结构并完成了相应属性的填写工作;④基于以上数据处理内容,结合泛第三极研究成果和最新认识,对区内相关地质内容进行了进一步修改和完善。 4) 数据应用成果及前景:泛第三极地质矿产数据库主要服务于泛第三极全区、重要成矿带以及国别区域成矿规律研究、地质矿产图和成矿预测图编制,比例尺为1:500万(泛第三极全区)。

This database covers the following spatial scopes: ① the Qinghai-Tibet Plateau and Xinjiang, China; ② Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan); ③ West Asia (Pakistan, Afghanistan, Iran); ④ Southeast Asia (Thailand, Vietnam, Laos, Myanmar, Cambodia). The main data contents include: ① 1:5,000,000-scale geological data (geological bodies and structures); ② metallic mineral data (ore deposits, mineral occurrences, mineralization spots). The primary cartographic product is the Pan-Tertiary Geological and Mineral Map (1:5,000,000). The spatial database is developed on the ArcGIS platform, which can provide fundamental data support for regional metallogenic regularity research, resource potential assessment, strategic prospective area delineation, and the compilation of various thematic maps. The database is stored in File Geodatabase (.GDB) format. The cartographic files include ArcGIS project files (MXD) and raster maps (JPG), and various common graphic formats such as PDF, TIF, and EPS can also be generated upon request. The entire Pan-Tertiary region (1:5,000,000 scale) adopts the Lambert Conformal Conic Projection, with the central meridian at 84°E and the two standard parallels at 20°N and 55°N respectively. Data Sources and Processing Methods: The basic geological data mainly originates from the 1:5,000,000-scale Geological Map of Asia compiled by Academician Ren Jishun (2015). The metallic mineral data is sourced from multiple channels, including the results of the National Mineral Resource Potential Evaluation Project (2012), the Central Asian Mineral Database and thematic maps of the Natural History Museum, London, UK (2014), the Afghanistan dataset of the U.S. Geological Survey (2008), relevant data from geological survey agencies of countries in the region, and papers and monographs related to mineral resources in the region. Additionally, a substantial amount of remote sensing data has been utilized for data modification and improvement, including ETM+, OLI, ASTER, Worldview and other satellite image data, as well as 90m, 30m, and 12.5m resolution DEM data. Data Quality Assurance: To meet the requirements of regional metallogenic regularity research, and the compilation of geological, mineral, and metallogenic prediction maps in the Pan-Tertiary region, editing, processing, and supplementary refinement have been conducted to ensure spatial accuracy, logical consistency, and data integrity. The specific work includes: ① Vectorization: A large volume of vectorization work has been carried out based on the aforementioned materials to supplement digital data-deficient areas (Iran and Pakistan). Meanwhile, polygon and line features have been merged or split according to the update status of the source data. All vectorization work was completed in compliance with the scale accuracy requirements specified in relevant Chinese national standards; ② Topology Correction: Eliminate topological errors such as overlapping polygons and empty areas; ③ Improvement of Feature Attribute Structure and Supplementary Attribute Information: Centered on the goals of regional metallogenic regularity research, and the compilation of geological, mineral, and metallogenic prediction maps, and in accordance with relevant Chinese specifications, combined with specific source data and materials, a corresponding data model was established. The attribute structures of geological body, structure, and mineral feature classes were optimized, and the corresponding attribute information was fully filled out; ④ Further Revision and Improvement: Based on the above data processing results, combined with the latest research findings and understandings of the Pan-Tertiary region, relevant geological contents within the region have been further revised and improved. 4) Data Application Achievements and Prospects: The Pan-Tertiary Geological and Mineral Database primarily serves the research on regional metallogenic regularity, and the compilation of geological, mineral, and metallogenic prediction maps for the entire Pan-Tertiary region, key metallogenic belts, and national-level regions, with a map scale of 1:5,000,000 for the entire Pan-Tertiary region.
提供机构:
刘琰
创建时间:
2024-01-09
搜集汇总
数据集介绍
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背景与挑战
背景概述
泛第三极地质矿产数据集(2022.1-2024.1)包含泛第三极地区(青藏高原、新疆、中亚、西亚和东南亚)的1:500万地质和金属矿产数据,采用ArcGIS平台存储,主要用于区域成矿规律研究和资源潜力评估。数据来源多样,包括地质图、矿产数据库和遥感数据,并经过严格加工确保质量。
以上内容由遇见数据集搜集并总结生成
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