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DInSAR-based detection of land subsidence and correlation with groundwater depletion in konya plain, Turkey

Caló F. | Notti D. | Galve J.P. | Abdikan S. | Görüm T. | Pepe A. | Şanli F.B.

Article | 2017 | Remote Sensing9 ( 1 )

In areas where groundwater overexploitation occurs, land subsidence triggered by aquifer compaction is observed, resulting in high socio-economic impacts for the affected communities. In this paper, we focus on the Konya region, one of the leading economic centers in the agricultural and industrial sectors in Turkey. We present a multi-source data approach aimed at investigating the complex and fragile environment of this area which is heavily affected by groundwater drawdown and ground subsidence. In particular, in order to analyze the spatial and temporal pattern of the subsidence process we use the Small BAseline Subset DInSAR te . . .chnique to process two datasets of ENVISAT SAR images spanning the 2002-2010 period. The produced ground deformation maps and associated time-series allow us to detect a wide land subsidence extending for about 1200 km2 and measure vertical displacements reaching up to 10 cm in the observed time interval. DInSAR results, complemented with climatic, stratigraphic and piezometric data as well as with land-cover changes information, allow us to give more insights on the impact of climate changes and human activities on groundwater resources depletion and land subsidence. © 2017, by the authors; licensee MDPI, Basel, Switzerland Daha fazlası Daha az

Investigation of possible causes of sinkhole incident at the zonguldak coal basin, Turkey

Geniş M. | Akçın H. | Aydan Ö. | Bacak G.

Article | 2018 | Geomechanics and Engineering16 ( 2 ) , pp.177 - 185

The subsidence mechanism of ground surface is a complex phenomenon when multiple seam coal mining operations are carried out. Particularly, the coal mining beneath karstic formations causes a very special form of subsidence. The subsidence causes elasto-plastic deformation of the karstic layers and the collapse of cavities leads to dolinization and/or sinkhole formation. In this study, a sinkhole with a depth of 90 m and a width of 25 m formed in Gelik district within the coal-basin of Zonguldak (NW, Turkey) induced by multiple seam coal mining operations in the past has been presented as a case-history together with two-dimensional . . . numerical simulations and InSAR monitoring. The computational results proved that the sinkhole was formed as a result of severe yielding in the close vicinity of the faults in contact with karstic formation due to multiple seam longwall mining at different levels. © 2018 Techno-Press, Ltd Daha fazlası Daha az

An integrated approach for the prediction of subsidence for coal mining basins

Unlu T. | Akcin H. | Yilmaz O.

Article | 2013 | Engineering Geology166 , pp.186 - 203

In this study, land subsidence caused by underground mining activities was investigated by means of a new subsidence prediction approach (ISP-Tech) which takes into account the most important parameters contributing subsidence development such as coal production methods, depth, mining sequence and other geomechanical characteristics of underground rock strata, etc. ISP-Tech can be applied to operating mines to keep land subsidence under control as well as virgin coal sites to predict surface subsidence prior to mining activities. In the method, geological information gathered from the geographic information system (GIS) and the mini . . .ng information system (MIS) are utilised to obtain geological cross-sections which are used in finite element models for mesh building. Then, a number of two dimensional finite element modelling analyses are carried out to determine land subsidence occurring due to mining operations. Finally, land subsidence predicted from modelling studies is compared to the GPS and/or differential interferometry synthetic aperture radar (DIn-SAR) measurements. If incompatibility of the results is detected, finite element meshes should be optimised, and then reanalysed to obtain more compatible results. In the study, two different case studies were given as examples of the application of ISP-Tech. Results of the case studies showed that ISP-Tech can successfully be applied to complex mine subsidence problems. The proposed approach gives more accurate results than those obtained from other classical subsidence prediction methods. © 2013 Elsevier B.V Daha fazlası Daha az

A multi-source data approach for the investigation of land subsidence in the Konya basin, Turkey

Calò F. | Notti D. | Galve J.P. | Abdikan S. | Görüm T. | Orhan O. | Makineci H.B.

Conference Object | 2018 | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives42 ( 3W4 ) , pp.129 - 135

Groundwater depletion caused by rapid population growth, global climate change, water resources overexploitation is a major concern in many regions of the world. Consequences are not limited to a non-renewable water loss but extend to environmental degradation and geo-hazards risk increase. In areas where excessive groundwater withdrawal occurs, land subsidence induced by aquifer compaction is observed, resulting in severe socio-economic damage for the affected communities. In this work, we apply a multi-source data approach to investigate the fragile environment of Konya plain, central Turkey. The area, which is under strong anthro . . .pogenic pressures and faces with serious water-related problems, is widely affected by land subsidence. In order to analyze the spatial and temporal pattern of the subsidence process we use the Small BAseline Subset DInSAR technique to process two datasets of ENVISAT SAR images spanning the 2002-2010 period and to produce ground deformation maps and associated time-series. Results, complemented with meteorological, stratigraphic and piezometric data as well as with land-cover information, allow us to obtain a comprehensive picture of the climatic, hydrogeological and human dynamics of the study area. © Authors 2018. CC BY 4.0 License Daha fazlası Daha az

Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method

Arca D. | Kutoğlu, Hakan Şenol | Becek K.

Article | 2018 | Environmental Monitoring and Assessment190 ( 12 ) , pp.129 - 135

Landslides are geomorphological phenomena that affect anthropogenic and natural features on the Earth’s surface. Many previous studies have identified several factors that have contributed to landslides. Among these factors are physical characteristics, such as slope, aspect, and land cover, of Earth’s surface. Moreover, landslides can be triggered by human activities such as underground mining. This study aims to identify landslide susceptibility areas by analyzing landslide-related factors, including land subsidence triggered by underground mining. The area of interest was Kozlu, Turkey, where underground mining has been in progre . . .ss for the past 100 years. Thus, to identify landslide risk zones, the multicriteria decision analysis method, together with the analytical hierarchy method, was used. The datasets included were topography, land cover, geological settings, and mining-induced land subsidence. The spatial extent of land subsidence was estimated using a previously published model. A landslide susceptibility map (LSM) was developed using a purposely developed GIS-based software. The results were compared with a terrain deformation map, which was developed in a separate study using the differential synthetic aperture radar interferometry (DInSAR) technique. The results showed a substantial correlation between the LSM and DInSAR map. Furthermore, it was found that ~ 88% of the very high and high landslide risk areas coincided with location of the past landslide events. These facts suggest that the algorithm and data sources used were sufficient to produce a sufficiently accurate LSM, which may be used for various purposes such as urban planning. © 2018, The Author(s) Daha fazlası Daha az

Direct determination of local coordinates from gps without transformation

Kutoglu H.S.

Article | 2009 | Survey Review41 ( 312 ) , pp.162 - 173

Geodetic frameworks in most countries are still referenced to local horizontal geodetic datums. Therefore, GPS-determined geodetic networks have to be integrated to local (national) networks. In practice, this process is always achieved by a coordinate transformation. However, this common way has some difficulties. For avoiding these difficulties, an alternative way called DIDELOC is proposed in this study. The basis of this method is based on that the slope distances are datum free. Utilizing this property of slope distance, GPS baselines can be evaluated directly in local system by DIDELOC method. This method is successfully appli . . .ed to the test data selected from the biggest hard coal basin of Turkey. The results show that the previous coordinates in the basin have experienced deformations caused by subsidence. © 2009 Survey Review Ltd Daha fazlası Daha az

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