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The influence of distance weight on the inverse distance weighted method for ore-grade estimation.
Liu, Zhan-Ning; Yu, Xiao-Yan; Jia, Li-Feng; Wang, Yuan-Sheng; Song, Yu-Chen; Meng, Hai-Dong.
Affiliation
  • Liu ZN; Anyang Institute of Technology, Anyang, 455000, People's Republic of China. 494570031@qq.com.
  • Yu XY; Inner Mongolia University of Science and Technology, Baotou, 014010, People's Republic of China.
  • Jia LF; Anyang Institute of Technology, Anyang, 455000, People's Republic of China.
  • Wang YS; Anyang Institute of Technology, Anyang, 455000, People's Republic of China.
  • Song YC; Inner Mongolia University of Science and Technology, Baotou, 014010, People's Republic of China.
  • Meng HD; Inner Mongolia University of Science and Technology, Baotou, 014010, People's Republic of China.
Sci Rep ; 11(1): 2689, 2021 Jan 29.
Article in En | MEDLINE | ID: mdl-33514843
ABSTRACT
In order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2021 Document type: Article
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