大亚湾某隧道CSAMT数据遗传算法反演

    THE APPLICATION OF GENETIC ALGORITHM IN CSAMT INVERSION IN THE CASE OF A TUNNEL IN DAYAWAN

    • 摘要: 为了查明某隧道范围内的覆盖层厚度、风化壳分带及风化囊、构造破碎带分布以及其他不良地质体的划分。利用CSAMT方法进行了勘察工作。由于测区临近发电机组和大型变电站,电磁干扰强烈,所得数据误差较大。本文利用遗传算法对野外数据进行了反演,与线性反演结果对比,效果得到明显提高。

       

      Abstract: In order to identify the overburden thickness,the distribution of weathering crust zone,weathering cap-sule and fractured zone,and to subdivide unfavorable geological condition within a tunnel,the authors use CSAMT method in the survey work. Because the surveyed area closes to the power station and its large substation,electro-magnetic interference is very strong,and the data obtained is not good. In order to improve the inversion precision,the genetic algorithms(GA ) inversion method is introduced. The inversion result by GA is much better than the re-cult reached by linear inversion method.

       

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