Author(s)

Jiajun Song ¹, Wei Liu ¹, Jinhao Liang ¹, Chuntao Yang ¹, Yunlei Wang ¹

Affiliation(s)

¹ College of Engineering, Tibet University, Tibet, Lhasa, 850000, China

Corresponding Author

Wei Liu

ABSTRACT

Based on the study of soil geochemical surveys in exploration geochemistry, this paper mainly discusses the method of determining the lower limit of anomalies. This paper introduces the basic principles and practical operation steps of the four commonly used methods of determining the lower limit of anomalies, such as the histogram method, traditional statistical method, EDA technology, and fractal theory, and then analyzes the advantages and disadvantages of various methods, to ensure that the anomalies of different geological characteristics and data characteristics can be judged more accurately, to lay the foundation for prospecting exploration and prospecting prediction.

KEYWORDS

Soil Geochemistry, Lower Limit of Anomaly, Histogram, Traditional Statistics, EDA Technology, Fractal Theory

CITE THIS PAPER

Jiajun Song, Wei Liu, Jinhao Liang, Chuntao Yang, Yunlei Wang, Method for Determining Lower Limit of Soil Geochemical Anomaly and Its Advantages and Disadvantages. Environment, Resource and Ecology Journal (2023) Vol. 7: 52-60. DOI: http://dx.doi.org/10.23977/erej.2023.070108.

REFERENCES

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[5] Liu Yang. Soil geochemical characteristics and prospecting prediction of Namugang gold-copper deposit in Dibao, Tibet. Chengdu University of Technology, 2017. 
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[7] Han Peng. Soil and rock geochemical characteristics and prospecting target delineation of Xiongcun ore concentration area in Tibet. Chengdu University of Technology, 2019. 
[8] Liu Huanming. Soil geochemical characteristics and metallogenic prediction of the Baburongxi Pb-Zn deposit in Anduo County, Tibet. Chengdu University of Technology, 2017. 
[9] Wu Xiang. Application of soil geochemical survey in prospecting in the Shiquanhe power station area of Tibet. Chengdu University of Technology, 2019.
[10] Gong Yushuang. Soil geochemical characteristics and metallogenic prediction of Changtangling tungsten polymetallic deposits in Hainan Province. Central South University, 2012. 
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