Using Sequential Gaussian Simulation to Assess Geochemical Anomaly Areas of Lead Element

Abstract : Mapping geochemical anomaly is essential for prospecting. Kriging is often used to characterize the spatial variability of geochemistry. However, due to its smooth effects, it is incapable of detecting multi-location uncertainty of geochemistry estimate. Sequential gaussian simulation (SGS) can model the spatial uncertainty through generation of several equally probable stochastic realizations. In this study, SGS is used to map Pb spatial distribution and to provide a quantitative measure of its spatial uncertainty in particular. The results show that the spatial pattern of Pb is well recognized using the SGS. The different among realizations is used to provide a quantitative measure of spatial uncertainty of Pb estimate. Knowledge of spatial uncertainty is helpful to evaluate anormal areas of Pb element.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-393 (Part II), pp.69-76, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36137-1_9〉
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Fengrui Chen, Shiqiang Chen, Guangxiong Peng. Using Sequential Gaussian Simulation to Assess Geochemical Anomaly Areas of Lead Element. Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-393 (Part II), pp.69-76, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36137-1_9〉. 〈hal-01348216〉

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