MULTIVARIATE STATISTICAL ANALYSIS OF GEOCHEMICAL DATA IN KERVIAN REGION

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GAROUSINEJAD SIMA; Mokhtari Ahmad Reza; AYATI FARIMAH

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Journal Paper

Paper Information

Journal: JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING Year:2017 | Volume:7 | Issue:13 Page(s): 101-112

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Title

MULTIVARIATE STATISTICAL ANALYSIS OF GEOCHEMICAL DATA IN KERVIAN REGION

Author(s)

GAROUSINEJAD SIMA | Mokhtari Ahmad Reza | AYATI FARIMAH | Issue Writer Certificate

Keywords

STATISTICAL ANALYSIS

STREAM SEDIMENT

BASIN CACHMENT

KERVIAN

SANANDAJ-SIRJAN

Abstract

Summary: In the present study the sample catchment basin approach has been used in addition to multivariate STATISTICAL ANALYSIS over geochemical dataset collected in KERVIAN area in Iran. Sample catchment basin has reasonably detected the favorable zones in the present study and the proven Au mineralization has validated the results. Introduction: STREAM SEDIMENT data application method has been widely used and accepted in exploration of different deposit types in mineral exploration industry and has shown its efficiency in this context. The sample catchment basin approach is a technique for processing of STREAM SEDIMENT data that is employed for removal of lithological impact from existing variation in chemical content of the samples. Methodology and Approaches: The target area covers 617 km2 in which 299 STREAM SEDIMENT samples were collected for chemical analysis. In addition, digitized 1:100000 geological and 1:50000 topographical maps were used for creation of sample catchment basins considering the sampling point positions. In order to remove the impact of background contribution to geochemistry of STREAM SEDIMENT by this technique the following procedure has been taken into account: 1- estimation of uni-element background concentration of element of interest for every lithology and then estimation of uni-element background value for every sample catchment basin 2- removal of the background concentration from measured concentration of element for each sample 3- dilution correction of residual values by taking the catchment area size into account 4- analysis of dilution correction values and delineating the anomalous basins. Results and Conclusions: The sample catchment basin method was employed and data processing was completed as mentioned above which resulted in delineation of anomalous Au values extended south-westerly. The results are compatible with known gold occurrences located in this part of the map. There are weak to moderate anomalous basins positioned south east and east of the known mineralization covered with the same sedimentary units as mineralization area that could be assumed promising. However, sample catchment basin has successfully highlighted the anomalous basins which were not detected through analysis of raw dataset. Employing this method has led to introduction of more areas for further prospecting, decreasing the chance of false negative anomaly. Comparison between processed dataset with the sample catchment basin approach and raw data set has demonstrated the superiority of the sample catchment basin approach.

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APA: Copy

GAROUSINEJAD, SIMA, Mokhtari, Ahmad Reza, & AYATI, FARIMAH. (2017). MULTIVARIATE STATISTICAL ANALYSIS OF GEOCHEMICAL DATA IN KERVIAN REGION. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 7(13 ), 101-112. SID. https://sid.ir/paper/266037/en

Vancouver: Copy

GAROUSINEJAD SIMA, Mokhtari Ahmad Reza, AYATI FARIMAH. MULTIVARIATE STATISTICAL ANALYSIS OF GEOCHEMICAL DATA IN KERVIAN REGION. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2017;7(13 ):101-112. Available from: https://sid.ir/paper/266037/en

IEEE: Copy

SIMA GAROUSINEJAD, Ahmad Reza Mokhtari, and FARIMAH AYATI, “MULTIVARIATE STATISTICAL ANALYSIS OF GEOCHEMICAL DATA IN KERVIAN REGION,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 7, no. 13 , pp. 101–112, 2017, [Online]. Available: https://sid.ir/paper/266037/en

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