Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control
| Autor: | Victor Miguel Silva, João Felipe Coimbra Leite Costa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
lcsh:TN1-997
Accuracy and precision Engineering sampling error 0211 other engineering and technologies Sample (statistics) QA/QC 02 engineering and technology Geostatistics Incerteza Geoestatística 020501 mining & metallurgy sensitivity analysis Kriging 021105 building & construction Statistics geostatistics Sensitivity (control systems) lcsh:Mining engineering. Metallurgy General Environmental Science business.industry General Engineering Sampling (statistics) data uncertainty 0205 materials engineering lcsh:TA1-2040 Data quality General Earth and Planetary Sciences business Amostragem lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | REM-International Engineering Journal, Volume: 69, Issue: 4, Pages: 491-496, Published: DEC 2016 REM-International Engineering Journal v.69 n.4 2016 REM-International Engineering Journal Fundação Gorceix (FG) instacron:FG REM: International Engineering Journal, Vol 69, Iss 4, Pp 491-496 Repositório Institucional da UFRGS Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
| Popis: | Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of estimates depend on a combination of geological characteristics, estimation parameters, sample spacing and data quality. This study investigates how the sample quality limits affect the estimates results. The proposed methodology is based on a series of metrics used to compare the impact on the estimates using a synthetic database with an increasing amount of error added to the original sample grades or positions, emulating different levels of precision. The proposed approach results lead to tolerance limits for the grades similar to those recommended in literature. The influence of the positional uncertainty on model estimates is at a minimum, because of the accuracy of current surveying methods that have a deviation in the order of millimeters, so its impact can be considered negligible. |
| Databáze: | OpenAIRE |
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