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:: Volume 4, Issue 1 (6-2016) ::
jgit 2016, 4(1): 83-101 Back to browse issues page
Evaluation of Rock Mass Quality in Underground Section of Anguran Mine Using Geostatistical Analyst in GIS Environment
Yasin Taghavi Mr, Jafar Khademi Hamidi Dr *, Ahmadreza Sayadi Dr
Tarbiat Modares University
Abstract:   (3379 Views)

Rock mass characterization is one of the most important parameters affecting the underground mine design. This study deals with the prediction of rock mass quality using geo-statistical estimator in Anguran underground mine at the level +2740. For this, a database consisting of 427 Q-based rock mass quality data sets was developed during the development of mine drifts. Accordingly, data were analyzed and checked for normality, trend and anisotropy. Analysis on Q-data showed that: 1- they do not have a normal distribution, 2- there are neither global nor local outliers in data 3- the data seem to exhibit a trend. In this study, the Universal Kriging was used due to existing trend in datasets. Taking into consideration five estimation error evaluation criteria, the best Variogram model was selected among three models: exponential, spherical and Gaussian. The results showed that spherical variogram model provides the best fit to the data's spatial structure. Cross validation showed high accuracy level for performance of geo-statistical estimator. Accordingly, the rock mass quality map for the area under study built in ArcGIS environment. The analysis results of final rock mass quality map revealed that about 53% of under study area has poor to extremely poor rock mass condition, 8% has fair and 39% has good to extremely good rock mass condition.

Keywords: Rock mass quality classification, Geostatistical estimator, Geographic Information System (GIS), Anguran Mine
Full-Text [PDF 1762 kb]   (1041 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2015/11/1 | Accepted: 2016/05/29 | Published: 2016/11/6
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Taghavi Y, Khademi Hamidi J, Sayadi A. Evaluation of Rock Mass Quality in Underground Section of Anguran Mine Using Geostatistical Analyst in GIS Environment. jgit. 2016; 4 (1) :83-101
URL: http://jgit.kntu.ac.ir/article-1-153-en.html


Volume 4, Issue 1 (6-2016) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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