Monitoring of Deformations in Open-pit Mines and Prediction of Deformations with the Grey Prediction Model.
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| Title: | Monitoring of Deformations in Open-pit Mines and Prediction of Deformations with the Grey Prediction Model. |
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| Authors: | Taşçi, Levent1 ltasci@firat.edu.tr, Tunçez, Muhammet2 |
| Source: | Journal of Grey System. 2018, Vol. 30 Issue 4, p152-163. 12p. |
| Subjects: | Deformations (Mechanics), Gray forecasting model, Strip mining, Landslides, Environmental monitoring |
| Abstract: | The slopes developed during open-pit mining works, and consequently occurring landslides due to slope failures may lead to loss of lives, injuries and economic losses. In order to reduce or neutralize the adverse effects of landslides mentioned above, it is vital to monitor them and unravel their mechanisms. In this study, landslide-monitoring works, which were conducted in an area with a landslide potential in the working area, and the acquired results of one of the most important open-pit mines, Cine Alipasa, were mentioned. In the study, deformation predictions were made based on the data gathered by using Robotic Total Station for the constant monitoring of landslides and measurements of pressure, temperature and rain. Additionally, the multivariable grey model was adopted in the prediction of deformation scales. The results acquired from geodetic and multivariable grey model were presented in the study. In the light of the data acquired by geodetic and multivariable grey model predictions, meaningful movements were detected in the analyzed area and it was observed that the results acquired from both of the methods were in line with each other. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Grey System is the property of Research Information Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 134557975 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Monitoring of Deformations in Open-pit Mines and Prediction of Deformations with the Grey Prediction Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Taşçi%2C+Levent%22">Taşçi, Levent</searchLink><relatesTo>1</relatesTo><i> ltasci@firat.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Tunçez%2C+Muhammet%22">Tunçez, Muhammet</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Grey+System%22">Journal of Grey System</searchLink>. 2018, Vol. 30 Issue 4, p152-163. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Deformations+%28Mechanics%29%22">Deformations (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Gray+forecasting+model%22">Gray forecasting model</searchLink><br /><searchLink fieldCode="DE" term="%22Strip+mining%22">Strip mining</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The slopes developed during open-pit mining works, and consequently occurring landslides due to slope failures may lead to loss of lives, injuries and economic losses. In order to reduce or neutralize the adverse effects of landslides mentioned above, it is vital to monitor them and unravel their mechanisms. In this study, landslide-monitoring works, which were conducted in an area with a landslide potential in the working area, and the acquired results of one of the most important open-pit mines, Cine Alipasa, were mentioned. In the study, deformation predictions were made based on the data gathered by using Robotic Total Station for the constant monitoring of landslides and measurements of pressure, temperature and rain. Additionally, the multivariable grey model was adopted in the prediction of deformation scales. The results acquired from geodetic and multivariable grey model were presented in the study. In the light of the data acquired by geodetic and multivariable grey model predictions, meaningful movements were detected in the analyzed area and it was observed that the results acquired from both of the methods were in line with each other. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Grey System is the property of Research Information Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 152 Subjects: – SubjectFull: Deformations (Mechanics) Type: general – SubjectFull: Gray forecasting model Type: general – SubjectFull: Strip mining Type: general – SubjectFull: Landslides Type: general – SubjectFull: Environmental monitoring Type: general Titles: – TitleFull: Monitoring of Deformations in Open-pit Mines and Prediction of Deformations with the Grey Prediction Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Taşçi, Levent – PersonEntity: Name: NameFull: Tunçez, Muhammet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 09573720 Numbering: – Type: volume Value: 30 – Type: issue Value: 4 Titles: – TitleFull: Journal of Grey System Type: main |
| ResultId | 1 |
