Simulation of land subsidence in North China based on campaign GPS data in a decade

2013 ◽  
pp. 513-517
Author(s):  
G Yang ◽  
Z Liu ◽  
S Feng ◽  
H Liang
Keyword(s):  
Land Subsidence ◽  
North China ◽  
Gps Data

scholarly journals Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Cheinway Hwang ◽  
Yuande Yang ◽  
Ricky Kao ◽  
Jiancheng Han ◽  
C. K. Shum ◽  
...  
Keyword(s):  
Land Subsidence ◽  
North China ◽  
Time Varying ◽  
Radar Altimetry

scholarly journals Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data

2019 ◽  
Vol 233 ◽  
pp. 111385 ◽  
Author(s):  
Natthachet Tangdamrongsub ◽  
Shin-Chan Han ◽  
Michael F. Jasinski ◽  
Michal Šprlák
Keyword(s):  
Land Subsidence ◽  
Water Storage ◽  
Gps Data ◽  
Reservoir Impoundment ◽  
Storage Change

scholarly journals Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets

2020 ◽  
Vol 12 (21) ◽  
pp. 3579
Author(s):  
Min Shi ◽  
Huili Gong ◽  
Mingliang Gao ◽  
Beibei Chen ◽  
Shunkang Zhang ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Land Subsidence ◽  
North China Plain ◽  
North China ◽  
Synthetic Aperture ◽  
Groundwater Depletion ◽  
Integrated Analysis ◽  
The North ◽  
The North China Plain ◽  
Aperture Radar

Groundwater resources have been exploited and utilized on a large scale in the North China Plain (NCP) since the 1970s. As a result of extensive groundwater depletion, the NCP has experienced significant land subsidence, which threatens geological stability and infrastructure health and exacerbates the risks of other geohazards. In this study, we employed multi-track Synthetic Aperture Radar (SAR) datasets acquired by the Sentinel-1A (S1A) satellite to detect spatial and temporal distributions of surface deformation in the NCP from 2016 to 2018 based on multi-temporal interferometric synthetic aperture radar (MT-InSAR). The results show that the overall ground displacement ranged from −165.4 mm/yr (subsidence) to 9.9 mm/yr (uplift) with a standard variance of 28.8 mm/yr. During the InSAR monitoring period, the temporal pattern of land subsidence was dominated by a decreasing tendency and the spatial pattern of land subsidence in the coastal plain exhibited an expansion trend. Validation results show that the S1A datasets agree well with levelling data, indicating the reliability of the InSAR results. With groundwater level data, we found that the distribution of subsidence in the NCP is spatially consistent with that of deep groundwater depression cones. A comparison with land use data shows that the agricultural usage of groundwater is the dominant mechanism responsible for land subsidence in the whole study area. Through an integrated analysis of land subsidence distribution characteristics, geological data, and previous research results, we found that other triggering factors, such as active faults, precipitation recharge, urbanization, and oil/gas extraction, have also impacted land subsidence in the NCP to different degrees.

scholarly journals Satellite signal shows storage-unloading subsidence in North China

2015 ◽  
Vol 12 (6) ◽  
pp. 6043-6075 ◽  
Author(s):  
J. P. Moiwo ◽  
F. Tao
Keyword(s):  
Land Subsidence ◽  
Land Surface ◽  
North China ◽  
Water Storage ◽  
Water Diversion ◽  
Soil Water Storage ◽  
Social Stability ◽  
Spatial Coverage ◽  
Data Products ◽  
System Data

Abstract. Worsening water storage depletion (WSD) contributes to environmental degradation, land subsidence and earthquake and could disrupt food production/security and social stability. There is need for efficient water use strategies in North China, a pivotal agrarian, industrial and political base in China with a widespread WSD. This study integrates satellite, model and field data products to investigate WSD and land subsidence in North China. In the first step, GRACE (Gravity Recovery and Climate Experiment) mass rates are used to show WSD in the region. Next, GRACE total water storage (TWS) is corrected for soil water storage (SWS) to derive groundwater storage (GWS) using GLDAS (Global Land Data Assimilation System) data products. The derived GWS is compared with GWS obtained from field-measured groundwater level to show land subsidence in the study area. Then GPS (Global Positioning System) data of relative land surface change (LSC) are used to confirm the subsidence due to WSD. A total of ~ 96 near-consecutive months (January 2002 through December 2009) of datasets are used in the study. Based on GRACE mass rates, TWS depletion is 23.76 ± 1.74 mm yr−1 or 13.73 ± 1.01 km3 yr−1 in the 578 000 km2 study area. This is ~ 31 % of the slated 45 km3 yr−1 water delivery in 2050 via the South–North Water Diversion Project. Analysis of relative LSC shows subsidence of 7.29 ± 0.35 mm yr−1 in Beijing and 2.74 ± 0.16 mm yr−1 in North China. About 11.53 % (2.74 ± 0.18 mm or 1.58 ± 0.12 km3) of the TWS and 8.37 % (1.52 ± 0.70 mm or 0.88 ± 0.03 km3) of the GWS are attributed to storage reductions accompanying subsidence in the region. Although interpretations of the findings require caution due to the short temporal and large spatial coverage, the concurrence of WSD and land subsidence could have adverse implications for the study area. It is critical that the relevant stakeholders embark on resource-efficient measures to ensure water availability, food security, ecological sustainability and social stability in this pivotal region.

scholarly journals Applied Research on InSAR and GPS Data Fusion in Deformation Monitoring

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ziwen Zhang ◽  
Xuelian Wang ◽  
Yongdong Wu ◽  
Zengpeng Zhao ◽  
Yang E
Keyword(s):  
Data Fusion ◽  
Synthetic Aperture Radar ◽  
Land Subsidence ◽  
Inverse Distance Weighting ◽  
Synthetic Aperture ◽  
Tropospheric Delay ◽  
Gps Data ◽  
Distance Weighting ◽  
Inverse Distance ◽  
Aperture Radar

With the enrichment of land subsidence monitoring means, data fusion of multisource land subsidence data has gradually become a research hotspot. The Interferometry Synthetic Aperture Radar (InSAR) is a potential Earth observation approach, and it has been verified to have a variety of applications in measuring ground movement, urban subsidence, and landslides but similar to Global Positioning System (GPS). The InSAR observation accuracy and measurements are affected by the tropospheric delay error as well as by the Earth’s ionospheric and tropospheric layers. In order to rectify the InSAR result, there is a need to interpolate the GPS-derived tropospheric delay. Keeping in view of the above, this research study has presented an improved Inverse Distance Weighting (IIDW) interpolation method based on Inverse Distance Weighting (IDW) interpolation by using Sentinel-1 radar satellite image provided by European Space Agency (ESA) and the measured data from the Continuously Operating Reference Stations (CORS) provided by the Survey and Mapping Office of the Lands Department of Hong Kong. Furthermore, the corrected differential tropospheric delay correction is used to correct the InSAR image. The experimental results show that the correction of tropospheric delay by IIDW interpolation not only improves the accuracy of Differential Interferometry Synthetic Aperture Radar (D-InSAR) but also provides a new idea for the solution of InSAR and GPS data fusion.

scholarly journals Groundwater-abstraction induced land subsidence and groundwater regulation in the North China Plain

2015 ◽  
Vol 372 ◽  
pp. 17-21 ◽  
Author(s):  
H. Guo ◽  
L. Wang ◽  
G. Cheng ◽  
Z. Zhang
Keyword(s):  
Sustainable Development ◽  
Land Subsidence ◽  
North China Plain ◽  
North China ◽  
Groundwater Resources ◽  
Groundwater Abstraction ◽  
Beijing Plain ◽  
The North ◽  
The North China Plain ◽  
Development And Utilization

Abstract. Land subsidence can be induced when various factors such as geological, and hydrogeological conditions and intensive groundwater abstraction combine. The development and utilization of groundwater in the North China Plain (NCP) bring great benefits, and at the same time have led to a series of environmental and geological problems accompanying groundwater-level declines and land subsidence. Subsidence occurs commonly in the NCP and analyses show that multi-layer aquifer systems with deep confined aquifers and thick compressible clay layers are the key geological and hydrogeological conditions responsible for its development in this region. Groundwater overdraft results in aquifer-system compaction, resulting in subsidence. A calibrated, transient groundwater-flow numerical model of the Beijing plain portion of the NCP was developed using MODFLOW. According to available water supply and demand in Beijing plain, several groundwater regulation scenarios were designed. These different regulation scenarios were simulated with the groundwater model, and assessed using a multi-criteria fuzzy pattern recognition model. This approach is proven to be very useful for scientific analysis of sustainable development and utilization of groundwater resources. The evaluation results show that sustainable development of groundwater resources may be achieved in Beijing plain when various measures such as control of groundwater abstraction and increase of artificial recharge combine favourably.

An analysis of the resilience capacity of soils in North China: a study on land subsidence treatment

2013 ◽  
Vol 73 (3) ◽  
pp. 723-731 ◽  
Author(s):  
Xiu-yan Wang ◽  
Lin Sun ◽  
Zhi-liang Wang ◽  
Chang-li Liu ◽  
Yun Zhang
Keyword(s):  
Land Subsidence ◽  
North China ◽  
Resilience Capacity

Groundwater-derived land subsidence in the North China Plain

2015 ◽  
Vol 74 (2) ◽  
pp. 1415-1427 ◽  
Author(s):  
Haipeng Guo ◽  
Zuochen Zhang ◽  
Guoming Cheng ◽  
Wenpeng Li ◽  
Tiefeng Li ◽  
...  
Keyword(s):  
Land Subsidence ◽  
North China Plain ◽  
North China ◽  
The North ◽  
The North China Plain

scholarly journals Earth Surface Deformation in the North China Plain Detected by Joint Analysis of GRACE and GPS Data

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 19861-19876 ◽  
Author(s):  
Renli Liu ◽  
Jiancheng Li ◽  
Hok Fok ◽  
C.K. Shum ◽  
Zhao Li
Keyword(s):  
North China Plain ◽  
North China ◽  
Surface Deformation ◽  
Joint Analysis ◽  
Gps Data ◽  
Earth Surface ◽  
The North ◽  
The North China Plain
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