Comparing U-statistic and nonstructural methods for separating anomaly and generating geochemical anomaly maps of Cu and Mo in Parkam district, Kerman, Iran
MetadataShow full item record
© 2015, Springer-Verlag Berlin Heidelberg.In applied geochemistry, obtaining quantitative descriptions of geochemical patterns and identifying geochemical anomalies are important. To identify and separate geochemical anomalies, several statistical methodologies (nonstructural and structural) are presented by researchers. In this study, four nonstructural methods including threshold assessment method based on median and standard deviation, median absolute deviation (MAD), P.N product and Sinclair’s method are selected first and then U-statistic is considered as a structural method to compare their performance. Subsequently, the best method is used to assess prospective areas of Parkam district. Results show that P.N and Sinclair’s methods are not always efficient. MAD method reduced the background well and roughly increased the correlation factor of points. However, U-statistic method includes both mentioned advantages meaning in addition to reducing outlier data effect, it regularizes anomalous values and also their dispersion is reduced significantly. It is possible to determine anomaly areas according to anomalous samples positioning so that denser areas are more important. Finally, lithogeochemical map of study area is generated for copper and molybdenum. In this map, the Cu mineralization which is delineated by this method is closely associated with the defined potassic alteration zone (according to alteration map of the study area), and also, the delineated Mo mineralization is exactly associated with the phyllic alteration and is spatially conformable with the zone defined for it.
Showing items related by title, author, creator and subject.
A method for extracting anomaly map of Au and As using combination of U-statistic and Euclidean distance methods in Susanvar district, IranGhannadpour, Seyed Saeed; Hezarkhani, A.; Sharifzadeh, Mostafa (2017)Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemical ...
Applying the combination of U-statistic and Mahalanobis distance as a multivariate structural method for the delineation of geochemical anomaliesGhannadpour, Seyed Saeed; Hezarkhani, A. (2017)© 2017 The Korean Society of Mineral and Energy Resources Engineers (KSMER) There are several statistical methods for separating anomalous values from background leading to determination of anomalous areas. These methods ...
Introducing 3d U-statistic method for separating anomaly from background in exploration geochemical data with associated software developmentGhannadpour, Seyed Saeed; Hezarkhani, A. (2016)The U-statistic method is one of the most important structural methods to separate the anomaly from the background. It considers the location of samples and carries out the statistical analysis of the data without judging ...