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自然电场对多种地下污染物敏感,开展相应的场源反演成像研究可帮助有效监测污染源活动.把目标区域内的多种自然电场场源进行统一处理,利用有限单元构建二维地电模型,实现自然电位正演的高精度计算.采用最小二乘正则化反演迭代,实现自然电场场源的二维反演.在设计二维自然电场场源反演算法的基础上,利用加入高斯噪声的合成模拟数据,对反演算法进行测试.测试结果表明:基于有限单元二维模型的最小二乘正则化反演算法能有效地实现对自然电场场源的反演成像,并能准确地确定自然电位异常源的位置和深度,且算法收敛快速稳定,具有一定的抗噪声能力.
The natural electric field is sensitive to many kinds of underground pollutants, and the corresponding research on field inversion imaging can help to effectively monitor the activity of the pollution source.Multiple natural electric field sources in the target area are treated uniformly, and two-dimensional geoelectric model So as to realize the high precision calculation of the natural potential forward.Using the least squares regularization inversion iteration to realize the two-dimensional inversion of the natural electric field source.On the basis of designing the two-dimensional natural electric field source inversion algorithm, Noise synthetic analog data to test the inversion algorithm.The test results show that the least-square regularization algorithm based on finite element two-dimensional model can effectively realize the inversion imaging of the natural electric field source and can accurately The position and depth of the natural potential anomaly sources are determined, and the algorithm converges quickly and steadily with certain anti-noise ability.