dc.contributor.author | Hastaoglu, Kemal Ozgur | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T10:03:06Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T10:03:06Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1300-0985 | |
dc.identifier.uri | https://dx.doi.org/10.3906/yer-1210-10 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/8850 | |
dc.description | WOS: 000325710700007 | en_US |
dc.description.abstract | The monitoring and analysis of natural disasters and their systems is crucially important in minimizing loss of life and property. In recent years, various methods of measurement and analysis have been employed to monitor and analyze landslides and their mechanisms. The Global Positioning System (GPS) is one of the methods used to monitor landslides. The consideration of external forces causing movement is essential when interpreting movement obtained by GPS. This paper describes a large motion in the Koyulhisar town center obtained from one GPS point. Twelve GPS points were set up in the Koyulhisar landslide region; 6 periods of GPS measurements were performed. The resultant data were processed using Bernese V5.0 software and coordinate information related to the points was obtained. In this study, the relationship between large motion and external forces was mathematically determined in a different way from previous studies. The coordinate information was first analyzed using the kinematic Kalman filtering technique and time-dependent speed and acceleration values for the points were determined. Data from the points at which significant displacements were observed were then analyzed using the dynamic Kalman filtering technique and the relationship between significant movements and temperature was modeled. Finally, the dynamic and kinematic model results were compared; it was observed that the displacements predicted by the dynamic model were more consistent with real values. It is concluded that accuracy in developing prediction models for deformations in landslides would be improved by using a dynamic deformation model containing either forces causing deformations or functions of quantities related to these forces. | en_US |
dc.description.sponsorship | State Planning Organization (SPO) project [2006 K-120220]; SPO project; Cumhuriyet University [M-330]; TUBITAK [111Y111] | en_US |
dc.description.sponsorship | The author thanks the project's members and also officials and local people in the region for their help. Ercument Ayazli, Fatih Poyraz, and Onder Gursoy are acknowledged for their support with GPS data collection and monumentation, respectively. BERNESE 5.0 was provided for GPS data processing by TUBITAK MAM under a contract through a State Planning Organization (SPO) project with Grant 2006 K-120220. Some of the GPS campaigns were also funded by the SPO project. Cumhuriyet University funded the Koyulhisar Landslide Project with Grant M-330. Google Earth was used to draw the map of the Koyulhisar landslide. GMT was used to draw the velocity map of the Koyulhisar landslide. TUBITAK Funded the Koyulhisar Landslide project with Grant 111Y111. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | SCIENTIFIC TECHNICAL RESEARCH COUNCIL TURKEY-TUBITAK | en_US |
dc.relation.isversionof | 10.3906/yer-1210-10 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Landslide monitoring | en_US |
dc.subject | dynamic Kalman filtering | en_US |
dc.subject | GPS | en_US |
dc.title | Investigation of the groundwater effect on slow-motion landslides by using dynamic Kalman filtering method with GPS: Koyulhisar town center | en_US |
dc.type | article | en_US |
dc.relation.journal | TURKISH JOURNAL OF EARTH SCIENCES | en_US |
dc.contributor.department | Cumhuriyet Univ, Fac Engn, Dept Geomat Engn, Div Geodesy, Sivas, Turkey | en_US |
dc.identifier.volume | 22 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.endpage | 1046 | en_US |
dc.identifier.startpage | 1033 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |