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资源能源数分布图

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国家青藏高原科学数据中心2025-04-22 更新2025-05-17 收录
下载链接:
https://data.tpdc.ac.cn/zh-hans/data/76eb1b38-a555-4a15-9e4d-cfcf77d6171f
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资源简介:
青藏高原地区地质矿产图由中国科学院地质与地球物理研究所秦克章、韩春明、苗来成、李光明、赵俊兴、毛亚晶等组织编制。行政区划隶属西南地区的区域具体由中国地质调查局成都地质调查中心李光明、付建刚、张志、石洪召、黄春梅等编制;行政区划隶属西北地区的区域具体由中国地质调查局西安地质调查中心张江伟、赵国斌、彦玲丽、陈倩懿等编制。西藏地调院李玉彬创建了矿产地数据库框架,并提供了西藏矿产地数据;新疆地质调查院靳刘圆提供了新疆西昆仑、阿尔金成矿带矿产地资料。接图工作由中国地质调查局成都地质调查中心石洪召、中国地质调查局西安地质调查中心赵国斌、彦玲丽完成。图件最终的修改完善、整饰等工作由中国地质调查局西安地质调查中心张江伟、赵国斌、李林等完成。

The geological and mineral map of the Qinghai-Tibet Plateau was organized and compiled by Qin Kezhang, Han Chunming, Miao Laicheng, Li Guangming, Zhao Junxing, Mao Yajing and other researchers from the Institute of Geology and Geophysics, Chinese Academy of Sciences. Regions administratively belonging to Southwest China were specifically compiled by Li Guangming, Fu Jiangang, Zhang Zhi, Shi Hongzhao, Huang Chunmei and other personnel from the Chengdu Geological Survey Center, China Geological Survey; regions administratively belonging to Northwest China were compiled by Zhang Jiangwei, Zhao Guobin, Yan Lingli, Chen Qianyi and other personnel from the Xi'an Geological Survey Center, China Geological Survey. Li Yubin from Tibet Geological Survey established the framework of the mineral occurrence database and provided the mineral occurrence data of Tibet; Jin Liuyuan from Xinjiang Geological Survey provided the mineral occurrence data of the West Kunlun and Altyn Tagh metallogenic belts in Xinjiang. The map assembly work was completed by Shi Hongzhao from the Chengdu Geological Survey Center, China Geological Survey, and Zhao Guobin, Yan Lingli from the Xi'an Geological Survey Center, China Geological Survey. The final revision, improvement and cartographic formatting of the map were completed by Zhang Jiangwei, Zhao Guobin, Li Lin and other personnel from the Xi'an Geological Survey Center, China Geological Survey.
提供机构:
秦克章
创建时间:
2025-04-22
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集为青藏高原地区的地质矿产图,由多个研究机构合作编制,数据覆盖时间从寒武纪至今,空间分辨率为1km - 10km,数据大小为122.66 MB,共享方式为保护期381天。
以上内容由遇见数据集搜集并总结生成
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