The Mitigation Strategy for Taiwan HSR Passing through the Land Subsidence Area of Yunlin County

2011 ◽  
Vol 03 (02) ◽  
pp. 177
Author(s):  
Shao-Yang Huang ◽  
Jet-Chau Wen ◽  
Chia-Chen Hsu ◽  
Ju-Huang Lee
Keyword(s):  
Land Subsidence ◽  
Mitigation Strategy ◽  
Subsidence Area

Long-Term Settlement Behavior of a Highway in Land Subsidence Area

2018 ◽  
Vol 32 (5) ◽  
pp. 04018063 ◽  
Author(s):  
Yu-Jin Shi ◽  
Ming-Guang Li ◽  
Jin-Jian Chen ◽  
Jian-Hua Wang
Keyword(s):  
Land Subsidence ◽  
Subsidence Area ◽  
Settlement Behavior

scholarly journals Dynamic variation characteristics of layered monitored land subsidence near a fast railway line

2020 ◽  
Vol 382 ◽  
pp. 339-344
Author(s):  
Kaiwen Shi ◽  
Yong Luo
Keyword(s):  
Land Subsidence ◽  
High Speed ◽  
Normal Operation ◽  
High Speed Railway ◽  
Railway Line ◽  
Plain Area ◽  
Subsidence Area ◽  
Deformation Law ◽  
Variation Characteristics ◽  
Railway Passenger

Abstract. The fast railway line B is a high-speed railway passenger passageway in Beijing, with a total length of 40.75 km. In the plain area, the railway passes through the land subsidence area of Beijing from south to north, which poses a certain threat to the normal operation of a high-speed railway. Using layered monitoring data for the period 2009–2014 from station A, this paper analyses dynamic changes in the annual subsidence rate and the rate and percentage of soil deformation at different depths, as well as the compression deformation law of soil with different lithology and depth with the change of the water level. The results show that (1) since 2012, the proportion of shallow-layer (≤82 m) compression and settlement contribution has gradually decreased, while the proportion of deep-layer (> 82 m) compression has significantly increased; (2) during the deformation process of layered soil, the amount of compression is closely related to the change of groundwater level; and (3) the shallow, middle and deep strata show obvious viscoelastic–plastic deformation characteristics on the whole.

scholarly journals Assessments of land subsidence along Rizhao-Lankao High-speed Railway at Heze, China between 2015 and 2019 with Sentinel-1 data

2020 ◽  
Author(s):  
Chuanguang Zhu ◽  
Wenhao Wu ◽  
Mahdi Motagh ◽  
Liya Zhang ◽  
Zongli Jiang ◽  
...  
Keyword(s):  
Land Subsidence ◽  
High Speed ◽  
Underground Mining ◽  
Ground Deformation ◽  
Ground Subsidence ◽  
Normal Operation ◽  
Monthly Precipitation ◽  
High Speed Railway ◽  
Subsidence Area ◽  
Under Construction

Abstract. The Heze section of Rizhao-Lankao High-speed Railway (RLHR-HZ) has been under construction since 2018 and will be operative by the end of 2021. However, there is a concern that land subsidence in Heze region may affect the normal operation of RLHR-HZ. In this study, we investigate the contemporary ground deformation in the region between 2015 and 2019 by using more than 350 C-band interferograms constructed from two tracks of Sentine-1 data over the region. The Small Baselines Subset (SBAS) technique is adopted to compile the time series displacement. We find that the RLHR-HZ runs through two main subsidence areas: One is located east of Heze region with rates ranging from −4 cm/yr to −1 cm/yr, and another one is located in the coal field with rates ranging from −8 cm/yr to −2 cm/yr. A total length of 35 km of RLSR-HZ are affected by the two subsidence basins. Considering the previous investigation and the monthly precipitation, we infer that the subsidence bowl east of Heze region is due to massive extraction of deep groundwater. Close inspections of the relative locations between the second subsidence area and the underground mining reveals that the subsidence there is probably caused by the groundwater outflow and fault instability due to mining, rather than being directly caused by mining. The InSAR-derived ground subsidence implies that it's necessary to continue monitoring the ground deformation along RLSR-HZ.

scholarly journals Atmospheric phase delay correction of PS-InSAR to Monitor Land Subsidence in Surabaya

2021 ◽  
Vol 936 (1) ◽  
pp. 012033
Author(s):  
Toifatul Ulma ◽  
Ira Mutiara Anjasmara ◽  
Noorlaila Hayati
Keyword(s):  
Land Subsidence ◽  
Atmospheric Correction ◽  
Significance Test ◽  
Phase Delay ◽  
Tropospheric Delay ◽  
Interferometric Synthetic Aperture Radar ◽  
Subsidence Area ◽  
Persistent Scatterers ◽  
Before And After ◽  
Delay Correction

Abstract Atmospheric phase delay is one of the most significant errors limiting the accuracy of Interferometric Synthetic Aperture Radar (InSAR) results. In this research, we used the Generic Atmospheric Correction Online Service for InSAR (GACOS) data to correct the tropospheric delay modeling from the persistent scatterers’ InSAR monitoring. Eighty-one (81) Sentinel-1A images and tropospheric delay maps from GACOS monitored land subsidence in Surabaya city between 2017 and 2019. InSAR processing was carried out using the GMTSAR software, continued with StaMPS and TRAIN, which were used to correct the tropospheric delay of PSInSAR-derived deformation measurements. The results before and after the atmospheric phase delay correction using GACOS were confirmed and analyzed in the main subsidence area. The findings of the experiments reveal that the atmospheric phase affects the mean LOS velocity results to some extent. The average difference between PS-InSAR before and after tropospheric correction is 1.734 mm/year with a standard deviation of 0.550 mm/year. The significance test of the two variables, 95%, showed that the tropospheric correction with GACOS data could affect the PS-InSAR results. Furthermore, GACOS correction may increase the error at some points, which could be due to its turbulence data’s low accuracy.

Rheological Test and Research of Deep Clay

2012 ◽  
Vol 594-597 ◽  
pp. 109-114
Author(s):  
Xin Zhou ◽  
Ming Gui Xiao ◽  
Gang Chen Sun ◽  
Jie Cao
Keyword(s):  
High Pressure ◽  
Rheological Property ◽  
Nonlinear Model ◽  
Land Subsidence ◽  
Deformation Mechanism ◽  
Preliminary Discussion ◽  
Subsidence Area ◽  
Rheological Test ◽  
Xi’An City

This Thesis uses the deep clay in the land subsidence area in Xi’an city as the research object, carries out the indoor high-pressure rheological test to the deep clay, discovers the nonlinear model consistent to the rheological property of the deep clay, and conduct a preliminary discussion to model. This thesis has an important preference value and significant meaning to the research of the deformation mechanism of aquitard in this subsidence area Introduction.

Cusp Catastrophe Intelligence Combinatorial Prediction of Land Subsidence

2012 ◽  
Vol 155-156 ◽  
pp. 606-610
Author(s):  
Chong Hao Huang ◽  
Yu Song Lu ◽  
Guo Bao ◽  
Zhen Rong Lin
Keyword(s):  
Land Subsidence ◽  
Water Reservoir ◽  
Forecast Model ◽  
Grey Model ◽  
Cusp Catastrophe ◽  
Reliable Prediction ◽  
Simple Method ◽  
Combination Forecast ◽  
Subsidence Area ◽  
Predict Model

Seeking for a scientific and reasonable predict model is the key point to ensure accurate and reliable prediction results for the land subsidence. In this paper, the research of subsidence area pointed out by picks the process of land subsidence which causes by the water reservoir that conforms to the characteristic of nonlinear dynamics, thus, a new model is established to solve the combinatorial weighted coefficients by using the predict precision, and a simple method is introduced to solve the grey model and neural network combination forecast model. Based on many examples, the new cusp catastrophe land subsidence model is proved to be very effective and much more accurate.

scholarly journals Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

2020 ◽  
Vol 218 ◽  
pp. 04002
Author(s):  
Peilian Ran ◽  
Shaoda Li ◽  
Keren Dai ◽  
Xiaoxia Yang
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Subsidence Rate ◽  
Subsidence Area ◽  
Long Time ◽  
Maximum Subsidence ◽  
The Government ◽  
Sbas Insar ◽  
First Time

Beijing is one of the largest cities in China, which has suffered from land subsidence for a long time. According to the study from 2005 to 2017, the maximum subsidence rate of Beijing is more than 10 cm/year. This paper will use Sentinel-1A TOPS data for the first time to reveal the land subsidence of Beijing from 2017 to 2018 by using time series interferometry. SBAS-InSAR technology was used for time series analysis. The annual mean subsidence rate and time series subsidence of Beijing were obtained. The results show that the east of Chaoyang district and the northwest of Tongzhou district were the severe subsidence areas in Beijing, and the subsidence rate is more than 10 cm/year, which indicates that the subsidence area in Beijing is continuous in recent years, and corresponding measures should be taken by the government.

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