| 基于证据权法的赣南稀土矿山地质环境评价 |
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| 关键词:weights-of-evidence modeling GIS mine geological environment assessment |
| 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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| Geo-environmental Quality Assessment of Rare-earth Mines in Southern Jiangxi Province Using Weights-of-evidence Modeling |
| 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. |
| MA Wei,XU Su-ning,WANG Run-sheng,ZHAO Zhen-mei,WEN Yuan-liang.2015.Geo-environmental Quality Assessment of Rare-earth Mines in Southern Jiangxi Province Using Weights-of-evidence Modeling[J].Acta Geoscientica Sinica,36(1):103-110. |
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