中亚成矿带-远景区-矿集区-矿产数据集（2022.1-2024.1）

本数据库包含空间范围：①中亚（哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦）。数据内容为：①中亚成矿带-远景区-矿集区-矿产数据集（成矿带-远景区-矿集区-矿产）；主要图件有：中亚成矿带-远景区-矿集区-矿产图（1:250万）。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）。中亚成矿带-远景区-矿集区-矿产数据采用采用兰伯特等形圆锥投影，中央经线和双纬根据具体所在位置具体确定。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）、中欧亚构造成矿图和地质图（2008）（1:250万）、域内各国地质调查部门地质图（1:100万）；②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。数据应用成果及前景：中亚成矿带-远景区-矿集区-矿产数据集库主要服务于泛第三极中亚地区、重要成矿带以及国别区域成矿规律研究、中亚成矿带-远景区-矿集区-矿产分布图编制，比例尺为1:250万。

This database has a spatial coverage of: ① Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan). The data included in this database are: ① Central Asia metallogenic belt-prospective area-mineralization cluster-mineral dataset (metallogenic belt-prospective area-mineralization cluster-mineral); the primary maps associated with this dataset include the Central Asia metallogenic belt-prospective area-mineralization cluster-mineral map (1:2,500,000 scale). This spatial database is built on the ArcGIS platform, providing fundamental data support for regional metallogenic regularity research, resource potential assessment, strategic prospective area delineation, and the compilation of diverse thematic maps. The database is stored as an Esri File Geodatabase (.GDB). The accompanying map files include ArcGIS project files (MXD) and raster maps (JPG), and additional common graphic formats (PDF, TIF, EPS, etc.) can be generated upon request. The Central Asia metallogenic belt-prospective area-mineralization cluster-mineral data employs the Lambert Conformal Conic Projection, with the central meridian and standard parallels tailored to the specific geographic location of the study area.

Data sources and processing methods: Basic geological data are primarily sourced from the *Geological Map of Asia* (1:5,000,000 scale, 2015) compiled by Academician Ren Jishun, the Central-Eurasian Tectonic Metallogenic Map and Geological Map (1:2,500,000 scale, 2008), and geological maps (1:1,000,000 scale) from national geological surveys within the region; ② Mineral data are sourced from multiple channels: results of the National Mineral Resource Potential Assessment Project (2012), the Central Asia Mineral Database and thematic maps from the Natural History Museum, London, UK (2014), the Afghanistan dataset from the United States Geological Survey (USGS, 2008), relevant data from national geological surveys within the region, and academic papers and monographs on regional mineral resources. Additionally, extensive remote sensing data were utilized to revise and enhance the dataset, including image data such as ETM+, OLI, ASTER, and Worldview, as well as 90m, 30m, and 12.5m Digital Elevation Model (DEM) data.

Data quality description: To support Pan-Third Pole regional metallogenic regularity research, and the compilation of geological-mineral maps and metallogenic prediction maps, editing, processing, and supplementation have been conducted to improve spatial accuracy, logical consistency, and data integrity. Specific contents include: ① Vectorization: Extensive vectorization work was carried out using the aforementioned data to fill in gaps in digital data for regions including Iran and Pakistan. Additionally, polygon and line features were merged or split based on the update status of the source data, and all vectorization work was completed in accordance with scale accuracy standards specified by relevant Chinese regulations; ② Topology Correction: Resolve topological errors such as overlapping polygons and empty areas; ③ Attribute Structure Refinement: Centered on the goals of regional metallogenic regularity research, geological-mineral map compilation, and metallogenic prediction map development, a dedicated data model was established in accordance with relevant Chinese specifications and available source data. The attribute structures of geological body, structural, and mineral feature classes were refined, and corresponding attribute values were fully populated; ④ Regional Geological Revision: Further revisions and improvements to relevant geological contents within the study area were made based on the above data processing workflows, combined with latest Pan-Third Pole research findings and understandings.

Data Application Achievements and Prospects: The Central Asia metallogenic belt-prospective area-mineralization cluster-mineral database primarily serves Pan-Third Pole Central Asia, key metallogenic belts, and national/regional metallogenic regularity research, as well as the compilation of the 1:2,500,000 scale Central Asia metallogenic belt-prospective area-mineralization cluster-mineral distribution map.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于中亚成矿带（覆盖哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦），提供了2022年至2024年的远景区、矿集区和矿产信息，核心图件为1:250万比例尺的矿产图，采用ArcGIS平台的文件数据库格式。数据集整合了多源基础地质和矿产数据，并经过矢量化、拓扑处理等质量控制，旨在支持区域成矿规律研究、资源潜力评估和专题图件编制，适用于地质矿产领域的科研与应用。