Monitoring and Analysis of Land Subsidence in Jiaozuo City (China) Based on SBAS-InSAR Technology

Jiaozuo, located in the northwest of Henan Province, is one of the six major anthracite production bases in China. It is susceptible to land subsidence due to over a hundred years of mining history, continuous urbanization, frequent human activities, etc., which poses a great threat to urban infrastructure construction and people’s production and lives. However, traditional leveling techniques are not sufficient for monitoring large areas of land subsidence due to the time-consuming, labor-intensive, and expensive nature of the process. Furthermore, the results of conventional methods may not be timely, rendering them ineffective for monitoring purposes. With the continuous advancement of urbanization, land subsidence caused by groundwater extraction, ground load, and other factors in daily life poses a great threat to urban infrastructure construction and people’s production and lives. In order to monitor the land subsidence in the area of Jiaozuo city, this article uses the Sentienl-1A satellite data covering the city from March 2017 to March 2021 to obtain the accumulated land subsidence and the average land subsidence rate based on the Small Baselines Subset InSAR (SBAS-InSAR) technology. The results indicate that the surface of Jiaozuo area is generally stable, and there has been no large-scale settlement. The settlement rate is roughly between −1 mm/a and 2.2 mm/a, and the areas with obvious land subsidence are mainly located in the southeast and east of Jiaozuo city center. After field investigation, it was found that the land subsidence is mainly caused by two reasons: groundwater excessive mining and excessive surface load. In the northeast of Jiaozuo city, there is a certain uplift area. After on-site investigation, it was found that the area is connected to a tailings pond of an aluminum mine, constantly accumulating abandoned rock masses and sediment, causing an annual uplift rate of +6~+ 24 mm/a. The large-scale extraction of groundwater from farmland in the urban–rural integration area for irrigation of wheat has led to the settlement of buildings in the area with a rate of −11–−74 mm/a.

[1]  T. Candela,et al.  Disentangling Shallow Subsidence Sources by Data Assimilation in a Reclaimed Urbanized Coastal Plain, South Flevoland Polder, the Netherlands , 2023, Journal of Geophysical Research: Earth Surface.

[2]  D. K. Sahadevan,et al.  Groundwater over-exploitation driven ground subsidence in the himalayan piedmont zone: Implication for aquifer health due to urbanization , 2023, Journal of Hydrology.

[3]  Xiufeng He,et al.  InSAR stacking with atmospheric correction for rapid geohazard detection: Applications to ground subsidence and landslides in China , 2022, Int. J. Appl. Earth Obs. Geoinformation.

[4]  T. Kwon,et al.  Sentinel-1 Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) for Long-Term Remote Monitoring of Ground Subsidence: A Case Study of a Port in Busan, South Korea , 2022, KSCE Journal of Civil Engineering.

[5]  H. Fan,et al.  Research on the Applicability of DInSAR, Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield , 2022, Remote. Sens..

[6]  T. Candela,et al.  The many faces of anthropogenic subsidence , 2022, Science.

[7]  P. Szucs,et al.  Surface Deformation Monitoring and Risk Mapping in the Surroundings of the Solotvyno Salt Mine (Ukraine) between 1992 and 2021 , 2022, Sustainability.

[8]  Mariusz Rzetala,et al.  Hypsometric changes in urban areas resulting from multiple years of mining activity , 2022, Scientific Reports.

[9]  Deodato Tapete,et al.  Accuracy of Sentinel-1 PSI and SBAS InSAR Displacement Velocities against GNSS and Geodetic Leveling Monitoring Data , 2021, Remote. Sens..

[10]  Huili Gong,et al.  Understanding the Influence of Building Loads on Surface Settlement: A Case Study in the Central Business District of Beijing Combining Multi-Source Data , 2021, Remote. Sens..

[11]  O. Orhan Monitoring of land subsidence due to excessive groundwater extraction using small baseline subset technique in Konya, Turkey , 2021, Environmental Monitoring and Assessment.

[12]  S. Wdowinski,et al.  Land Subsidence and Its Relations with Sinkhole Activity in Karapınar Region, Turkey: A Multi-Sensor InSAR Time Series Study , 2021, Sensors.

[13]  Xiujun Dong,et al.  Evaluating Potential Ground Subsidence Geo-Hazard of Xiamen Xiang’an New Airport on Reclaimed Land by SAR Interferometry , 2020, Sustainability.

[14]  Yi Yang,et al.  A Decade of Ground Deformation in Kunming (China) Revealed by Multi-Temporal Synthetic Aperture Radar Interferometry (InSAR) Technique , 2019, Sensors.

[15]  Shengbo Chen,et al.  SBAS-InSAR Based Deformation Detection of Urban Land, Created from Mega-Scale Mountain Excavating and Valley Filling in the Loess Plateau: The Case Study of Yan'an City , 2019, Remote. Sens..

[16]  Zhihui Yuan,et al.  Ground Subsidence Investigation in Fuoshan, China, Based on SBAS-InSAR Technology with TerraSAR-X Images , 2019, Applied Sciences.

[17]  Shenglu Zhou,et al.  Spatio-temporal assessment of urbanization impacts on ecosystem services: Case study of Nanjing City, China , 2016 .

[18]  Á. Nádudvari Using radar interferometry and SBAS technique to detect surface subsidence relating to coal mining in Upper Silesia from 1993-2000 and 2003-2010 , 2016 .

[19]  J. Brandt,et al.  Land subsidence in the San Joaquin Valley, California, USA, 2007–2014 , 2015 .

[20]  R. Chatterjee,et al.  ESTIMATION OF ATMOSPHERIC EFFECTS OF RADARSAT-2 D-InSAR PRODUCT USING GROUNDBASEDAND SPACEBORNE METEROLOGICAL DATA , 2015 .

[21]  Colm Jordan,et al.  Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery , 2014 .

[22]  H. Zepp,et al.  Mining and its impact on the earth surface in the Ruhr District (Germany) , 2014 .

[23]  Michele Manunta,et al.  SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[24]  Jochen A.G. Jaeger,et al.  Improving the measurement of urban sprawl: Weighted Urban Proliferation (WUP) and its application to Switzerland , 2014 .

[25]  M. Solarski Anthropogenic transformations of the Bytom area relief in the period of 1883-1994 , 2013 .

[26]  Dong-kil Lee,et al.  Assessment of the influencing factors on subsidence at abandoned coal mines in South Korea , 2013, Environmental Earth Sciences.

[27]  Eray Can,et al.  Effects of mining subsidence on masonry buildings in Zonguldak hard coal region in Turkey , 2012, Environmental Earth Sciences.

[28]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[29]  Xinpeng Diao,et al.  Identifying the Cause of Abnormal Building Damage in Mining Subsidence Areas Using InSAR Technology , 2019, IEEE Access.

[30]  Shfaqat Abbas Khan,et al.  Seasonal dynamic thinning at Helheim Glacier , 2015 .

[31]  Cetin Mekik,et al.  Determination of underground mining induced displacements using GPS observations in Zonguldak-Kozlu Hard Coal Basin , 2012 .