scholarly journals PRELIMINARY INVESTIGATION OF THE LAND SUBSIDENCE PHENOMENA OCCURRING AT THE INDUSTRIAL-COMMERSIAL AREA OF ELEONAS, ATHENS, GREECE

2017 ◽  
Vol 50 (3) ◽  
pp. 1703
Author(s):  
A. Kaitantzian ◽  
C. Loupasakis
Keyword(s):  
Land Use ◽  
Land Subsidence ◽  
Preliminary Investigation ◽  
Current Work ◽  
Common Phenomenon ◽  
Persistent Scatterer Interferometry ◽  
Causal Factors ◽  
Hydrogeological Conditions ◽  
Persistent Scatterer ◽  
Vertical Displacements

Land subsidence is a common phenomenon occurring in several regions worldwide.The current work focus on the industrial-commersial area of Eleonas, Athens, where vertical displacements were identified by Persistent Scatterer Interferometry (PSI) analysis. The rate of deformation in the study area according to the PSI results, during the period from May 1992 to December 2000, ranged between -1.5 and -10 mm/yr. The evaluation of the geological, geotechnical and hydrogeological conditions of the area combined with the PSI data provided substantial information for the interpretation of the land subsidence phenomenon. Also, the knowledge of the land use distribution and the activities taking place in the area helped the detection of its causal factors.

The Risk of Coal Fires And Land Subsidence in Jharia Coalfields, India, Analysed Using Remote Sensing Techniques

2021 ◽  
Author(s):  
Vamshi Karanam ◽  
Shagun Garg ◽  
Mahdi Motagh ◽  
Kamal Jain
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Risk ◽  
Land Subsidence ◽  
Coal Mines ◽  
Geographical Information ◽  
Residential Areas ◽  
Persistent Scatterer Interferometry ◽  
Coal Fire ◽  
Coal Fires

<p>Coal fires, land subsidence, roof collapse, and other life-threatening risks are a predictable phenomenon for the mineworkers and the neighbourhood population in coalfields. Jharia Coalfields in India are suffered heavily from land subsidence and coal fires for over a century. In addition to the loss of precious coal reserves, this has led to severe damage to the environment, livelihood, transportation, and precious lives.</p><p>Such incidents highlight the dire need for a well-defined methodology for risk analysis for the coalfield. In this study, we regenerated a Land Use Land Cover map prepared using Indian Remote Sensing satellite imagery and ground survey. Persistent Scatterer Interferometry analysis using Sentinel -1 images was carried out to study the land subsidence phenomenon between Nov 2018 and Apr 2019. For the same study period, coal fire zones were identified with Landsat – 8 thermal band imagery. Integration of coal fire maps, subsidence velocity maps, and land use maps was further implemented in a geographical information background environment to extract the high-risk zones. These high-risk areas include residential areas, railways, and mining sites, requiring immediate attention.</p><p>The results show that the coal mines are affected by subsidence of up to 20 cm/yr and a temperature anomaly of nearly 20<sup>o</sup>C is noticed. A high-risk zone of almost 18 sq. km. was demarcated with Kusunda, Gaslitand, and West Mudidih collieries being the most critically affected zones in the Coal mines. The study demonstrates the potential to combine data from multiple satellite sensors to build a safer ecosystem around the coal mines.  </p>

scholarly journals PSI-based methodology to land subsidence mechanism recognition

2015 ◽  
Vol 372 ◽  
pp. 357-360 ◽  
Author(s):  
R. Bonì ◽  
C. Meisina ◽  
C. Perotti ◽  
F. Fenaroli
Keyword(s):  
Land Subsidence ◽  
Vadose Zone ◽  
Northern Italy ◽  
Clay Soils ◽  
Soil Consolidation ◽  
Persistent Scatterer Interferometry ◽  
Temporal Scales ◽  
Po Plain ◽  
Persistent Scatterer ◽  
Spatio Temporal

Abstract. A methodology based on Persistent Scatterer Interferometry (PSI) is proposed in order to disentangle the contribution of different processes that act at different spatio-temporal scales in land subsidence (i.e. vadose zone processes as swelling/shrinkage of clay soils, soil consolidation and fluid extraction). The methodology was applied in different Italian geological contexts characterized by natural and anthropic processes (i.e. a Prealpine valley and the Po Plain in northern Italy).

scholarly journals Spatial Analysis of Land Subsidence in the San Luis Potosi Valley Induced by Aquifer Overexploitation Using the Coherent Pixels Technique (CPT) and Sentinel-1 InSAR Observation

2020 ◽  
Vol 12 (22) ◽  
pp. 3822
Author(s):  
María Inés Navarro-Hernández ◽  
Roberto Tomás ◽  
Juan M. Lopez-Sanchez ◽  
Abraham Cárdenas-Tristán ◽  
Jordi J. Mallorquí
Keyword(s):  
Land Subsidence ◽  
Strong Relationship ◽  
Satellite System ◽  
Groundwater Withdrawal ◽  
Persistent Scatterer Interferometry ◽  
San Luis ◽  
Persistent Scatterer ◽  
San Luis Potosi ◽  
Global Navigation Satellite ◽  
San Luis Potosí

The San Luis Potosi metropolitan area has suffered considerable damage from land subsidence over the past decades, which has become visible since 1990. This paper seeks to evaluate the effects of groundwater withdrawal on land subsidence in the San Luis Potosi Valley and the development of surface faults due to the differential compaction of sediments. For this purpose, we applied the Coherent Pixels Technique (CPT), a Persistent Scatterer Interferometry (PSI) technique, using 112 Sentinel-1 acquisitions from October 2014 to November 2019 to estimate the deformation rate. The results revealed that the deformation areas in the municipality of Soledad de Graciano Sánchez mostly exhibit subsidence values between −1.5 and −3.5 cm/year; whereas in San Luis Potosi these values are between −1.8 and −4.2 cm/year. The PSI results were validated by five Global Navigation Satellite System (GNSS) benchmarks available, providing a data correlation between the results obtained with both techniques of 0.986. This validation suggests that interferometric derived deformations agree well with results obtained from GNSS data. The strong relationship between trace fault, land subsidence,e and groundwater extraction suggests that groundwater withdrawal is resulting in subsidence induced faulting, which follows the pattern of structural faults buried by sediments.

scholarly journals Retrospective InSAR Analysis of East London during the Construction of the Lee Tunnel

2020 ◽  
Vol 12 (5) ◽  
pp. 849 ◽  
Author(s):  
Jennifer Scoular ◽  
Richard Ghail ◽  
Philippa Mason ◽  
James Lawrence ◽  
Matthew Bellhouse ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Tunnel Boring Machine ◽  
Persistent Scatterer Interferometry ◽  
Pumping Station ◽  
Tunnel Boring ◽  
Geological Feature ◽  
Persistent Scatterer ◽  
Improvement Scheme ◽  
Settlement Behaviour

The Lee Tunnel was constructed as the first part of the Thames Tideway Improvement scheme, between 2010 and 2016. With tunnelling for the East section of the main Thames Tideway Tunnel, which joins the Lee Tunnel at Abbey Mills Pumping Station, beginning in early 2020, this paper investigates patterns of deformation in East London during construction of the Lee Tunnel. An unexpected geological feature, later identified as a drift filled hollow, was discovered during tunnelling. This study demonstrates that had eight years of ERS Persistent Scatterer Interferometry (PSI) data been analysed prior to tunnelling, the unusual pattern of displacement may have been recognised and further targeted borehole investigations taken place before the launch of the tunnel boring machine. Results also show how areas of different land use, including cemeteries and historic landfill, exhibit differences in settlement behaviour, compared with surrounding terraced housing. This research highlights the challenges in interpreting PSI results in an urban area with ongoing construction and the value of a long archive of data, which now spans almost three decades in London, that can be used to establish a baseline prior to construction.

Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China

2014 ◽  
Vol 75 (3) ◽  
pp. 2947-2964 ◽  
Author(s):  
Minsi Ao ◽  
Changcheng Wang ◽  
Rongan Xie ◽  
Xingqing Zhang ◽  
Jun Hu ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer
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