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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/649FA5F7-AD76-4EC4-8A42-E4B75A6BA505 | - |
| Identifier | https://www.degruyter.com/view/j/geo.2016.8.issue-1/geo-2016-0066/geo-2016-0066.xml | - |
| Identifier | 10.1515/geo-2016-0066 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Integrating weather and geotechnical monitoring data for assessing the stability of large scale surface mining operations | en |
| Creator | Steiakakis Chrysanthos | en |
| Creator | Agioutantis Zacharias | en |
| Creator | Αγιουταντης Ζαχαριας | el |
| Creator | Apostolou, Evangelia, 1964- | en |
| Creator | Papavgeri Georgia | en |
| Creator | Tripolitsiotis Achilleas | en |
| Creator | Τριπολιτσιωτης Αχιλλεας | el |
| Publisher | De Gruyter Open | en |
| Content Summary | The geotechnical challenges for safe slope design in large scale surface mining operations are enormous. Sometimes one degree of slope inclination can significantly reduce the overburden to ore ratio and therefore dramatically improve the economics of the operation, while large scale slope failures may have a significant impact on human lives. Furthermore, adverse weather conditions, such as high precipitation rates, may unfavorably affect the already delicate balance between operations and safety. Geotechnical, weather and production parameters should be systematically monitored and evaluated in order to safely operate such pits. Appropriate data management, processing and storage are critical to ensure timely and informed decisions. This paper presents an integrated data management system which was developed over a number of years as well as the advantages through a specific application. The presented case study illustrates how the high production slopes of a mine that exceed depths of 100-120 m were successfully mined with an average displacement rate of 10- 20 mm/day, approaching an almost slow to moderate landslide velocity. Monitoring data of the past four years are included in the database and can be analyzed to produce valuable results. Time-series data correlations of movements, precipitation records, etc. are evaluated and presented in this case study. The results can be used to successfully manage mine operations and ensure the safety of the mine and the workforce. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-11-14 | - |
| Date of Publication | 2016 | - |
| Subject | Data management | en |
| Subject | Relational database | en |
| Subject | Slope stability | en |
| Bibliographic Citation | C. Steiakakis, Z. Agioutantis, E. Apostolou, G. Papavgeri and A. Tripolitsiotis, "Integrating weather and geotechnical monitoring data for assessing the stability of large scale surface mining operations," Open Geosci., vol. 8, no. 1, pp. 694-699, Jan. 2016. doi: 10.1515/geo-2016-0066 | en |
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