基于熵—中位数子区滤波提取土壤氡气浓度异常——以甘肃省花海盆地为例

    The application of information entropy subinterval area median contrast filtering method to extracting the abnormal soil gas radon concentrations: A case study of Huahai basin, Ganshu Province

    • 摘要: 花海盆地位于甘肃省河西走廊盆地群西缘,深部矿产资源潜力尚不明朗。本文以土壤氡气浓度测量成果为基础,结合花海盆地构造背景及演化规律,分析了熵—中位数子区衬值滤波辨识的平面氡浓度异常特征。结果表明,研究区不同的大、小窗口(m,n)子区中位数衬值滤波正、负异常结果不同;滤波结果熵值变化范围为2.5~3.6,与大、小窗口比率k呈现“周期波动—下凹型多项式变化。研究区最佳大、小窗口比率k范围为15~20,此时子区中位数衬值滤波熵值最小,滤波结果中显示研究区西部土壤氡气异常区域可信度最高,是本区后续勘探的有利区域。

       

      Abstract: Huahai basin is in the western edge of the corridor basin group in Gansu Province. Based on the results of soil gas radon concentration measurement and the background structural and evolution law of Huahai basin, the authors analyzed the characteristics of the abnormal fields by the Information Entropy Subinterval Area Median Contrast Filtering (SAMCF) Method. The results were different with the different m and n paraments by using SAMCF method. It also showed that the entropy varied from 2.5 to 3.6. The relationship of entropy and m and n was complexity. However, it varied like a "U" sharp with the incease of k parament. When the k varied from 15 to 20, the minimum entropy was gotten showing the western party of the study area with anomaly radon gas in the soil, is the favorable area for deep uranium exploration.

       

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