川西甲基卡大型锂资源基地绿色调查及环境评价指标体系的建立
| 1. | 自然资源部成矿作用与资源评价重点实验室, 中国地质科学院矿产资源研究所, 北京 100037 |
| 2. | 中国地质大学(北京)地球科学与资源学院, 北京 100083 |
| 3. | 四川省地质矿产勘查开发局地质矿产科学研究所, 四川 成都 610036 |
| 4. | 四川省地质调查院, 四川 成都 610081 |
Study on the Index System of Green Investigation and Environmental Evaluation for the Jiajika Large Lithium Mineral Resource Base, Western Sichuan, China
| 1. | Key Laboratory of Metallogeny and Mineral Resource Assessment, Ministry of Natural Resources; Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China |
| 2. | School of Earth Science and Resources, China University of Geosciences(Beijing), Beijing 100083, China |
| 3. | Geology and Mineral Resources Scientific Institute, Sichuan Exploration Bureau of Geology and Mineral Resources, Chengdu 610036, China |
| 4. | Sichuan Institute of Geological Survey, Chengdu 610081, China |
摘要：在资源、环境和经济协调发展的大背景下，发展绿色矿业已成为国家战略重点推进并得到了广泛认同。大型资源基地绿色调查及环境评价指标体系的建立、模型的技术实现将为解决生态脆弱区找矿部署与环境保护瓶颈问题发挥重要作用。本文将绿色调查与环境评价两方面工作有机结合，分四个层次构建指标框架，通过3S技术提取生态环境现状及变化信息，结合连续三年的地表水、土壤等多环境介质野外调查取样分析数据，对经过验证的、成熟的评价方法进行优化，运用更兼容、可扩展的Python语言编程建立了基于支持向量机的大型锂资源基地环境评价模型。运用该模型，将大型基地环境现状划分为环境较差区、环境一般区、环境较好区、环境良好区四类区域，总体准确率达97.77%。结果表明，本文建立的该套有针对性的评价指标体系能够对川西大型锂资源基地的环境现状作出有效的评价，通过技术创新实现了大型锂资源基地环境现状"像元级"可视化分级，较客观地反映了甲基卡矿区及周边资源开发环境问题与影响范围，在一定程度上可辅助规范大型基地矿产资源开发利用的管理及决策。
Study on the Index System of Green Investigation and Environmental Evaluation for the Jiajika Large Lithium Mineral Resource Base, Western Sichuan, China
ABSTRACT 
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