{"title":"Integration of geoelectrical and seismic refraction data by means of fuzzy clustering for landslide investigation","authors":"D. T. Kieu, N. Pham, H. Lai","doi":"10.3997/2214-4609.201900373","DOIUrl":null,"url":null,"abstract":"Summary Seismic and geoelectrical methods are powerful tools to investigate the landslides. The effectiveness of the investigation will significantly increase if we can exploit the strength of each method and complement its information into the combination model. The question is how we can put the models together. In this work, we utilize the advancement of fuzzy clustering technique to integrate seismic refraction and geoelectrical datasets in a co-operative inversion process. The fundamental idea to use fuzzy clustering is to build a model that resembles geology, particular rock units. We apply our method to a dataset acquired at Doi Ong Tuong, Hoa Binh province, Vietnam. The dataset includes refraction seismic and direct current data for landslide investigation. Seismic refraction is good at defining a structure to assist geoelectrical inversion. In turn, the geoelectrical method is sensitive to low resistivity media that usually relates to weakened zones, but is not good at structure definition. Our results are consistent with the borehole information. Applying fuzzy clustering again to the models of velocity and resistivity, we can create a clustering map that is more interpretable than using directly the inverted models.","PeriodicalId":393867,"journal":{"name":"EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201900373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Summary Seismic and geoelectrical methods are powerful tools to investigate the landslides. The effectiveness of the investigation will significantly increase if we can exploit the strength of each method and complement its information into the combination model. The question is how we can put the models together. In this work, we utilize the advancement of fuzzy clustering technique to integrate seismic refraction and geoelectrical datasets in a co-operative inversion process. The fundamental idea to use fuzzy clustering is to build a model that resembles geology, particular rock units. We apply our method to a dataset acquired at Doi Ong Tuong, Hoa Binh province, Vietnam. The dataset includes refraction seismic and direct current data for landslide investigation. Seismic refraction is good at defining a structure to assist geoelectrical inversion. In turn, the geoelectrical method is sensitive to low resistivity media that usually relates to weakened zones, but is not good at structure definition. Our results are consistent with the borehole information. Applying fuzzy clustering again to the models of velocity and resistivity, we can create a clustering map that is more interpretable than using directly the inverted models.
地震和地电方法是研究滑坡的有力工具。如果我们能够利用每种方法的优势,并将其信息补充到组合模型中,调查的有效性将大大提高。问题是我们如何把这些模型组合在一起。在这项工作中,我们利用模糊聚类技术的进步,在协同反演过程中整合地震折射和地电数据集。使用模糊聚类的基本思想是建立一个类似地质学的模型,特定的岩石单元。我们将我们的方法应用于在越南和平省Doi Ong Tuong获得的数据集。该数据集包括用于滑坡调查的折射地震和直流数据。地震折射有利于构造的确定,有助于地电反演。反过来,地电方法对通常与弱带有关的低电阻率介质敏感,但在构造定义方面不太好。结果与钻孔资料吻合较好。将模糊聚类再次应用于速度和电阻率模型,我们可以创建一个比直接使用反演模型更具解释性的聚类图。