| 基于证据权法的赣南稀土矿山地质环境评价 |
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| 引用本文：马伟,徐素宁,王润生,赵珍梅,文元亮.2015.基于证据权法的赣南稀土矿山地质环境评价[J].地球学报,36(1):103-110. |
| DOI：10.3975/cagsb.2015.01.12 |
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| 基金项目:中国地质调查局地质矿产调查评价专项“典型矿山地质环境问题遥感调查与评价”(编号: 1212011220086) |
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| 中文摘要:为了解决矿山地质环境评价研究中指标权值计算和评价分级具有较大主观性的问题, 本文发展了一种基于证据权法的矿山地质环境评价模式, 利用GIS的空间分析功能, 提取矿产开发活动、坡度、坡向、高程、构造、植被覆盖度6类地质环境评价指标, 运用证据权法计算指标权值。结合条件独立性检验结果, 优选评价指标并计算后验概率。采用后验概率面积频率法对赣南稀土矿山地质环境进行综合评价分级。结果表明, 研究区内地质环境差区域主要分布在其东南部和西部; 矿产开发活动是影响研究区内地质环境质量最主要的因素。采用效率曲线法对模型验证, 正确率和预测率分别为90.1%和89.5%。证据权法能够有效避免主观因素干扰, 评价结果客观, 具有可重现性, 适用于矿山地质环境质量评价。 |
| 中文关键词:证据权法 GIS 矿山地质环境 评价 |
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| Geo-environmental Quality Assessment of Rare-earth Mines in Southern Jiangxi Province Using Weights-of-evidence Modeling |
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| Abstract:To overcome arbitrariness and subjectivity of the weight calculation and classification in the assessment method used widely for mine geological environment at present, this paper attempts to introduce weights-of-evidence modeling into the study of mine geological environment assessment. Six evidence themes related to mine geological environment, i.e., mining development, slope, aspect, altitude, geological structure and vegetation fraction, were generated using geographical information system (GIS) spatial analysis techniques. Weights-of-evidence modeling was applied to calculating weights for each evidential theme, and conditional independence was tested to assist the acceptance or rejection of evidential themes as predictors. Predictor themes were combined to create the posterior probability map. The assessment of geological environment in the south of Jiangxi Province for the rare-earth mine was accomplished using Cumulative Area-Posterior Probability method. The results show that the regions with poor geological environment are mainly distributed in the southeastern and western parts of the study area. It is shown that mining development has the greatest effect on the geological environment of the study area. The efficiency curves were used to validate the model. The validation showed a high success rate (90.1%) and prediction rate (89.5%). The analysis indicates that the weights-of-evidence modeling can avoid the influence of subjective judgment effectively. The modeling has a good reproducibility because of its objective nature and is useful in the assessment of mine geological environment. |
| keywords:weights-of-evidence modeling GIS mine geological environment assessment |
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