Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A method for extracting anomaly map of Au and As using combination of U-statistic and Euclidean distance methods in Susanvar district, Iran

    Access Status
    Fulltext not available
    Authors
    Ghannadpour, Seyed Saeed
    Hezarkhani, A.
    Sharifzadeh, Mostafa
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ghannadpour, S.S. and Hezarkhani, A. and Sharifzadeh, M. 2017. A method for extracting anomaly map of Au and As using combination of U-statistic and Euclidean distance methods in Susanvar district, Iran. Journal of Central South University. 24 (11): pp. 2693-2704.
    Source Title
    Journal of Central South University
    DOI
    10.1007/s11771-017-3682-7
    ISSN
    2095-2899
    School
    Dept of Mining Eng & Metallurgical Eng
    URI
    http://hdl.handle.net/20.500.11937/59778
    Collection
    • Curtin Research Publications
    Abstract

    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 anomalies. The U-statistic method is one of the most important structural methods and is a kind of weighted mean that surrounding points of samples are considered in U value determination. However, it is able to separate the different anomalies based on only one variable. The main aim of the presented study is development of this method in a multivariate mode. For this purpose, U-statistic method should be combined with a multivariate method which devotes a new value to each sample based on several variables. Therefore, at the first step, the optimum p is calculated in p-norm distance and then U-statistic method is applied on p-norm distance values of the samples because p-norm distance is calculated based on several variables. This method is a combination of efficient U-statistic method and p-norm distance and is used for the first time in this research. Results show that p-norm distance of p=2 (Euclidean distance) in the case of a fact that Au and As can be considered optimized p-norm distance with the lowest error. The samples indicated by the combination of these methods as anomalous are more regular, less dispersed and more accurate than using just the U-statistic or other nonstructural methods such as Mahalanobis distance. Also it was observed that the combination results are closely associated with the defined Au ore indication within the studied area. Finally, univariate and bivariate geochemical anomaly maps are provided for Au and As, which have been respectively prepared using U-statistic and its combination with Euclidean distance method.

    Related items

    Showing items related by title, author, creator and subject.

    • Combination of separation methods and data mining techniques for prediction of anomalous areas in Susanvar, Central Iran
      Ghannadpour, Seyed Saeed; Hezarkhani, A.; Roodpeyma, T. (2017)
      © 2017 Elsevier Ltd Structural method U-statistics is an eminent technique for delineating geochemical patterns; on the other hand, it is worthwhile to introduce Mahalanobis distance approach decreasing the background ...
    • Providing the bivariate anomaly map of Cu–Mo and Pb–Zn using combination of statistic methods in Parkam district, Iran
      Ghannadpour, Seyed Saeed; Hezarkhani, A. (2017)
      U-statistic method is one of the most important univariate structural methods which considers spatial situation of samples. The U-statistic method could be combined with other methods because it devotes a new value to ...
    • Introducing 3d U-statistic method for separating anomaly from background in exploration geochemical data with associated software development
      Ghannadpour, 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 ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.