摘要
已有的反演算法研究主要针对地质勘探,对于污染场地的探测数据反演则未有涉及.针对污染场地的特点,建立两种场地模型,通过数值模拟比较两种经典反演算法—阻尼最小二乘法及Occam反演算法.结果表明,两种反演方法的反演结果均能正确反映污染区域的位置,但是对污染区域的范围光滑模型的反演结果优于阻尼最小二乘法的反演结果,并且所需迭代次数小于阻尼最小二乘法.为了进一步比较两种算法在实际污染场地的应用效果,对重庆一污染场地的电阻率法探测数据进行反演.反演结果表明在对实际场地的反演中两种算法可能会存在虚假异常.
The resistivity method is an effective way to detect soil contamination and the explaination of electrical data rely on inversion algorithms. There are many researches on inversion algorithms for geological exploration, hut few for detection of contaminated sites. In this paper, we analysis the characteristics of contaminated sites, and build two site models to compare the two classic inversion method-Damped least squares method and Occam＇ s inversion through numerical simulation. And then, we further investigated the accuracy of the two methods in explaining the field data which is collected from a typical contaminated site in Chongqing. Our results show that the results of both methods can correctly show the location of the contaminated area, and the contaminated areas of Occam＇s inversion results are more accessible to the true model comparing to Damped least squares method and need fewer iterations. Our results also show that the both methods may result in false abnormality when used in actual contaminated sites.
出处
《地球物理学进展》
CSCD
北大核心
2012年第4期1775-1781,共7页
Progress in Geophysics
基金
国家高技术研究发展计划(863)项目(2009AA063101-2)
山东工商学院青年科研基金项目(2011QN084)
山东省住房和城乡建设厅建设科技计划(2011YK056)
山东省软科学研究计划(2012RKB01220)联合资助
关键词
电阻率法
污染探测
阻尼最小二乘法
OCCAM反演
Resistivity method,contaminated areas survey,damped least squares method, Occarn＇s inversion
