scholarly journals Time-series evolution patterns of land subsidence in the eastern Beijing Plain, China

2019 ◽  
Vol 11 (5) ◽  
pp. 539 ◽  
Author(s):  
Junjie Zuo ◽  
Huili Gong ◽  
Beibei Chen ◽  
Kaisi Liu ◽  
Chaofan Zhou ◽  
...  
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Groundwater Level ◽  
Permutation Entropy ◽  
Interferometric Synthetic Aperture Radar ◽  
Beijing Plain ◽  
Evolution Pattern ◽  
Persistent Scatterer ◽  
Geological Conditions ◽  
Two Stages

Land subsidence in the Eastern Beijing Plain has a long history and is always serious. In this paper, we consider the time-series evolution patterns of the eastern of Beijing Plain. First, we use the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) technique, with Envisat and Radarsat-2 data, to monitor the deformation of Beijing Plain from 2007 to 2015. Second, we adopt the standard deviation ellipse (SDE) method, combined with hydrogeological data, to analyze the spatial evolution patterns of land subsidence. The results suggest that land subsidence developed mainly in the northwest–southeast direction until 2012 and then expanded in all directions. This process corresponds to the expansion of the groundwater cone of depression range after 2012, although subsidence is restricted by geological conditions. Then, we use the permutation entropy (PE) algorithm to reverse the temporal evolution pattern of land subsidence, and interpret the causes of the phenomenon in combination with groundwater level change data. The results show that the time-series evolution pattern of the land subsidence funnel edge can be divided into three stages. From 2009 to 2010, the land subsidence development was uneven. From 2010 to 2012, the land subsidence development was relatively even. From 2012 to 2013, the development of land subsidence became uneven. However, subsidence within the land subsidence funnel is divided into two stages. From 2009 to 2012, the land subsidence tended to be even, and from 2012 to 2015, the land subsidence was relatively more even. The main reason for the different time-series evolution patterns at these two locations is the annual groundwater level variations. The larger the variation range of groundwater is, the higher the corresponding PE value, which means the development of the land subsidence tends to be uneven.

scholarly journals Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms

2018 ◽  
Vol 10 (3) ◽  
pp. 365 ◽  
Author(s):  
Mingliang Gao ◽  
Huili Gong ◽  
Beibei Chen ◽  
Xiaojuan Li ◽  
Chaofan Zhou ◽  
...  
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Wavelet Transforms ◽  
Beijing Plain ◽  
Subsidence Analysis ◽  
Regional Land

scholarly journals MONITORING AND ANALYZING THE SURFACE SUBSIDENCE IN LANGFANG BY TIME-SERIES INTERFEROMETRIC RADAR TECHNIQUE

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 309-313
Author(s):  
L. Zhou ◽  
X. L. Wen ◽  
X. J. Lu ◽  
Y. J. Shi ◽  
J. Ma ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Subsidence ◽  
Synthetic Aperture ◽  
Target Point ◽  
Interferometric Synthetic Aperture Radar ◽  
Monitoring Point ◽  
Nonlinear Variation ◽  
The North ◽  
Persistent Scatterer ◽  
Maximum Subsidence

Abstract. In this paper, the subsidence change maps in Langfang were obtained using ASAR images covering Langfang area acquired from August 2007 to September 2010 with the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique. Surface subsidence spatial-temporal characteristics in Langfang was investigated. The analysis of experimental results show that 1) prominent uneven subsidence patterns were identified in Langfang. Specifically, surface subsidence rates ranged from −77 mm/year to 4 mm/year, and maximum subsidence rate was detected in Nanjianta Town; 2) the standard deviation of the target point subsidence rates in the study area ranges from 0.8 mm/year to 9.3 mm/year, 70.4% of the monitoring point standard deviations in study area are less than 3 mm/year; 3) surface subsidence time series presented nonlinear variation trend. The surface subsidence has a tendency to gradually expand around the center of Nanjianta Town, and the scope and trend of expansion to the north and west of Langfang are more serious.

Mapping Land Subsidence in Pekalongan, Indonesia using Time Series Interferometry and Optimized Hot Spot Analysis with Sentinel-1 SAR Data 

2021 ◽  
Author(s):  
Wahyu Luqmanul Hakim ◽  
Seul Ki Lee ◽  
Chang-Wook Lee
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Hot Spot ◽  
Northern Coast ◽  
Hot Spot Analysis ◽  
Persistent Scatterer ◽  
Radar Satellite ◽  
Deformation Patterns ◽  
Settlement Areas ◽  
Spot Analysis

<div> <p>Floods in Pekalongan, Indonesia often occur due to the overflowing of river water during heavy monsoon rain. While the northern coast area of Pekalongan which located adjacent to the Java sea was affected by coastal floods due to sea-level rise. The flood conditions in every area were exacerbated by land subsidence and lead to coastal inundation. Monitoring land subsidence in Pekalongan becomes important to predict the further possible land subsidence occurrence area and mitigate the possible hazard caused by land subsidence. The analysis of land subsidence is much easier since the existence of radar satellites. This study used Synthetic Aperture Radar (SAR) datasets from the Sentinel-1 radar satellite between 2017 and 2020 in descending tracks. The data was processed through a time-series Interferometry SAR (InSAR) method based on the Stanford Methods for Persistent Scatterer (StaMPS) algorithm to provide accurate measurements over large areas by improving the selection of coherent pixels and reducing atmosphere noises. The result of persistent scatterer points then spatially clustered using Optimized Hot Spot Analysis (OHSA) to estimate significant points statistically and define them as the hot spot points. The results of time-series vertical deformation in Pekalongan were compared with the GPS station measurements. The comparison showed a good correlation in deformation patterns between time-series InSAR and GPS measurements. Our study revealed that the land subsidence in Pekalongan occurred mostly in settlement areas under the young alluvium soil which did not support the maximum compression from many buildings. Another cause of land subsidence in Pekalongan was the excessive groundwater extraction in the settlement areas could reduce the effective stress of pore pressure and lead to compaction in the aquifer areas. The time-series method that using the StaMPS algorithm and Optimized Hot Spot Analysis in this study can be applied for monitoring land subsidence in another area and from all-terrain.</p> </div>

scholarly journals Land Subsidence and Its Relations with Sinkhole Activity in Karapınar Region, Turkey: A Multi-Sensor InSAR Time Series Study

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 774
Author(s):  
Osman Orhan ◽  
Talib Oliver-Cabrera ◽  
Shimon Wdowinski ◽  
Sefa Yalvac ◽  
Murat Yakar
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Groundwater Level ◽  
Temporal Characteristic ◽  
Satellite System ◽  
Similar Rate ◽  
Groundwater Extraction ◽  
Near Surface ◽  
Aquifer System ◽  
Global Navigation Satellite

The Karapinar basin, located in the Central Anatolian part of Turkey, is subjected to land subsidence and sinkhole activity due to extensive groundwater withdrawal that began in the early 2000s. In this study, we use Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite System (GNSS), and groundwater level data to monitor and better understand the relations between groundwater extraction, land subsidence, and sinkhole formation in the Karapinar basin. The main observations used in the study are InSAR-derived subsidence velocity maps calculated from both Sentinel-1 (2014–2018) and COSMO-SkyMed (2016–2017) SAR data. Our analysis reveals broad areas of subsidence with rates exceeding 70 mm/yr. The InSAR-derived subsidence was compared with GNSS data acquired by a continuously operating GNSS station located in the study area, which show a similar rate of subsidence. The temporal characteristic of both InSAR and GNSS time series indicate a long-term subsidence signal superimposed by seasonal variability, which follows the overall groundwater level changes, with over 80% cross-correlation consistency. Our results also indicate that sinkhole activity is limited to slow subsidence areas, reflecting strong cohesion of near-surface rock layers that resist subsidence but yield to collapse in response to aquifer system deformation induced by groundwater extraction.

scholarly journals Analysis of land subsidence changes on the Beijing Plain from 2004 to 2015

2020 ◽  
Vol 382 ◽  
pp. 291-296
Author(s):  
Lin Guo ◽  
Huili Gong ◽  
Xiaojuan Li ◽  
Lin Zhu ◽  
Wei Lv ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Surface Deformation ◽  
Kendall Test ◽  
Alluvial Fan ◽  
Water Diversion ◽  
Grid Cells ◽  
Plain Area ◽  
Beijing Plain ◽  
Grid Unit ◽  
Geological Conditions

Abstract. Land subsidence, as a surface response to the development, utilization and evolution of underground space, has become a global and multidisciplinary complex geological environment problem. Since the 1960s, land subsidence has been developing rapidly in the Beijing Plain area. Against the backdrop of the integration of Beijing, Tianjin and Hebei in addition to “southern water” (South-to-North Water Diversion Project, SNWDP) entering Beijing, the systematic study of the evolution mechanism of land subsidence is of great significance for the sustainable development of the regional economy. Firstly, this study used ENVISAT ASAR and RADARSAT-2 data to obtain surface deformation information for the Beijing Plain area from 2004 to 2015 and then verified the results. Secondly, the study area was divided into units using a 960 m×960 m grid, and the ground settlement rate of each grid unit from 2004 to 2015 was obtained. Finally, the Mann–Kendall test was performed on the grid to obtain the mutation information for each grid unit. Combined with hydrogeology and basic geological conditions, we have attempted to analyze the causes of the mutations in the grid. The results show that 2347 grid cells were mutated in a single year, with most of these distributed across the Yongding River alluvial fan and the middle and lower parts of the Chaobai River alluvial fan. A total of 1128 grid cells were mutated in multiple years, with the majority of these cells mainly distributed across the upper-middle area of the alluvial fan, near the emergency water source and at the edge of the groundwater funnel. This study aims to provide favorable technical support and a scientific basis for urban construction in Beijing.

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