Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

Du, Yanan; Feng, Guangcai; Peng, Xing

doi:10.3390/app7050466

Cited by 15 publications

(10 citation statements)

References 32 publications

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“…The subsidence area is approximately 251.5 km 2 , with an average subsidence rate of 15.1 mm/yr, and the maximum subsidence rate of 58.0 mm/yr occurs on Donghai Island. The location of these subsidence bowls is consistent with the trend of middle groundwater decline [4]. In addition to the high rates of subsidence, some other subsidence bowls with areas over 4 km 2 , located along the western coastline, are also observed.…”

Section: Subsidence In the Leizhou Peninsulasupporting

confidence: 80%

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Feng

Liu

et al. 2020

Remote Sensing

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Coastal areas are usually densely populated, economically developed, ecologically dense, and subject to a phenomenon that is becoming increasingly serious, land subsidence. Land subsidence can accelerate the increase in relative sea level, lead to a series of potential hazards, and threaten the stability of the ecological environment and human lives. In this paper, we adopted two commonly used multi-temporal interferometric synthetic aperture radar (MTInSAR) techniques, Small baseline subset (SBAS) and Temporarily coherent point (TCP) InSAR, to monitor the land subsidence along the entire coastline of Guangdong Province. The long-wavelength L-band ALOS/PALSAR-1 dataset collected from 2007 to 2011 is used to generate the average deformation velocity and deformation time series. Linear subsidence rates over 150 mm/yr are observed in the Chaoshan Plain. The spatiotemporal characteristics are analyzed and then compared with land use and geology to infer potential causes of the land subsidence. The results show that (1) subsidence with notable rates (>20 mm/yr) mainly occurs in areas of aquaculture, followed by urban, agricultural, and forest areas, with percentages of 40.8%, 37.1%, 21.5%, and 0.6%, respectively; (2) subsidence is mainly concentrated in the compressible Holocene deposits, and clearly associated with the thickness of the deposits; and (3) groundwater exploitation for aquaculture and agricultural use outside city areas is probably the main cause of subsidence along these coastal areas.

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Section: Subsidence In the Leizhou Peninsulasupporting

confidence: 80%

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Feng

Liu

et al. 2020

Remote Sensing

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“…Ground subsidence in delta areas is closely related to local geological conditions [46]. According to the Guangdong Geological Bureau reports [16,47], there are four geological formations (soft soil, loose soil, hidden karst and bedding rock) in the study area (see Figure 12).…”

Section: Ground Subsidence Of Subway Network and Geological Conditionsmentioning

confidence: 96%

“…According to the Guangdong Geological Bureau reports [16,47], there are four geological formations (soft soil, loose soil, hidden karst and bedding rock) in the study area (see Figure 12). Most subsidence occurred in the first three geological distributions, especially the soft soil area, because the soil is prone to be compacted under the pressure from engineering constructions (such as tunneling) and clay self-consolidation [46][47][48][49]. So there indeed is a spatial correlation between surface subsidence of Guangzhou subway network and geological conditions.…”

Section: Ground Subsidence Of Subway Network and Geological Conditionsmentioning

confidence: 99%

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Wang

Feng

et al. 2017

Remote Sensing

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Abstract:Subways have been an important method for relieving traffic pressures in urban areas, but ground subsidence, during construction and operation, can be a serious problem as it may affect the safety of its operation and that of the surrounding buildings. Thus, conducting long-term ground deformation monitoring and modeling for subway networks are essential. Compared with traditional geodetic methods, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique offers wider coverage and denser measurements along subway lines. In this study, we mapped the surface deformation of the Guangzhou subway network with Advanced Synthetic Aperture Radar (ASAR) and Phased Array Type L-band Synthetic Aperture Radar (PALSAR) data using the Interferometric Point Target Analysis (IPTA) technique. The results indicate that newly excavated tunnels have regional subsidence with an average rate of more than 8 mm/year, as found on Lines Two, Three, Six, and GuangFo (GF). Furthermore, we determined the spatio-temporal subsidence behavior of subways with PALSAR in delta areas using Peck's formula and the logistic time model. We estimated the tunneling-related parameters in soft soil areas, which had not been previously explored. We examined a section of line GF, as an example, to estimate the ground settlement trough development. The results showed the maximum settlement increased from −5.2 mm to −23.6 mm and its ground loss ratio ranged from 1.5-8.7% between 13 July 2008 and 19 January 2011. In addition, we found that the tunnels in line GF will become stable after a period of about 2300 days in peak subsidence areas. The results show that the proposed approach can help explain the dynamic ground subsidence along a metro line. This study can provide references for urban subway projects in delta areas, and for the risk assessment of nearby buildings and underground pipelines along metro lines.

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“…The geology of this area has been described in detail (Du, Feng, Peng, & Li, ; Zhou et al, ). Unconsolidated alluvial and lacustrine sediment from the Neogene and Quaternary ages overlie basement rocks consisting of phyllite, schist, and quartzite.…”

Section: Study Area and Methodsmentioning

confidence: 99%

Vertical groundwater flux estimation from borehole temperature profiles by a numerical model, RFLUX

Liu

Chen

et al. 2019

Hydrological Processes

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We developed a numerical model, RFLUX, which uses the heat tracer method for vertical groundwater flux estimation, and applied it to the Leizhou Peninsula, South China, to provide information to inform local groundwater resource utilization and management. The temperature-depth (TD) profiles of 24 boreholes, along with the observed ground surface temperature (GST) and surface air temperature (SAT) series in recent decades, were collected in this area. Underground TD data demonstrated the capacity to identify groundwater flow patterns, and local GST and SAT data demonstrated a strong correlation with each other over monthly, seasonal, and annual scales. In the RFLUX model, the average GST and SAT series were applied as an upper boundary condition, and a nonlinear initial condition was set using an analytical solution from the literature. The model results of selected TD profiles demonstrated that the annual vertical groundwater flux was about 0.15 m a −1 , which tended to be overestimated if a linear initial condition was used. This model can be easily applied with minor modifications, considering its clear purpose and simplicity.

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Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010

Cited by 15 publications

References 32 publications

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Vertical groundwater flux estimation from borehole temperature profiles by a numerical model, RFLUX

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