Zhen Tang
Shenzhen Longgang District Development and Reform Bureau, Shenzhen 518100, China
Zhong-Wei Li
Shenzhen Longgang District Development and Reform Bureau, Shenzhen 518100, China
With the increasing scale of underground space construction, urban karst geological disasters in China are becoming more and more serious, having a serious impact on people’s daily lives and engineering construction. In this paper, a variety of monitoring methods are used to analyze the spatial and temporal variation characteristics of regional land subsidence during the construction of the Huanggekeng area in Longgang, Shenzhen, and the method of delimiting the environmental influence zone around the project construction is discussed. The results show that InSAR land subsidence monitoring has high measurement accuracy, and has the advantages of low cost and high efficiency in regional land subsidence monitoring. PS-InSAR technology can effectively delineate the environmental influence zone for engineering construction in the early stage of foundation pit excavation, and provide the basis for the delineation of the surrounding environment investigation range and the layout of the construction monitoring network in the key areas during the construction process. Through different stages of PS-InSAR monitoring data and construction progress, the boundary of the environmental influence zone can be dynamically updated, which is of great significance for the surrounding environment investigation, disaster prevention, and responsibility identification of the engineering.
[1] Alija, S., Torrijo, F.J., Quinta-Ferreira, M., 2013. Geological Engineering Problems Associated with Tunnel Construction in Karst Rock Masses: The Case of Gavarres Tunnel (Spain). Engineering Geology. 157, 103–111.
[2] Tang, Z., Jiang, X.Z., Chen, L.G., et al., 2022. Groundwater Sealing by Grouting Curtain Technique and Its Grouting Effect Evaluation of a Limestone Quarrying in Longmen County. Carsologica Sinica. 41(1), 47–58. Available from: http://zgyr.karst.ac.cn/article/doi/10.11932/karst20220102 (in Chinese)
[3] Xing, L.T., Yu, M., Su, Q.W., et al., 2022. Influence and Repair of Underground Engineering Construction on Karst Flow Field. Bulletin of Geological Science and Technology. 41(5), 242–254. Available from: https://dzkjtb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0190 (in Chinese)
[4] Lv, Y.X., Jiang, Y.J., Hu, W., et al., 2020. A Review of the Effects of Tunnel Excavation on the Hydrology, Ecology, and Environment in Karst Areas: Current Status, Challenges, and Perspectives. Journal of Hydrology. 586, 124891.
[5] Tang, Z., Song, L., Jin, D.Q., et al., 2023. An Engineering Case History of the Prevention and Remediation of Sinkholes Induced by Limestone Quarrying. Sustainability. 15(3), 2808.
[6] Cui, Q.-L., Shen, S.-L., Wu, H.N., et al., 2015. Field Investigation of Deep Excavation of Metro Station on Surrounding Ground in Karst Region of Guangzhou. Rock and Soil Mechanics. 36(S1), 553–557.
[7] Yihdego, Y., Drury, L., 2016. Mine Dewatering and Impact Assessment in an Arid Area: Case of Gulf Region. Environmental Monitoring and Assessment. 188(11), 1–13.
[8] Butscher, C., Huggenberger, P, Zechner, E., 2011. Impact of Tunneling on Regional Groundwater Flow and Implications for Swelling of Clay-Sulface Rocks. Engineering Geology. 117(3–4), 198–206.
[9] Chen, K.L., Wu, H.N., Cheng, W.C., et al., 2017. Geological Characteristics of Strata in Chongqing, China, and Mitigation of the Environmental Impacts of Tunneling-Induced Geo-hazards. Environmental Earth Sciences. 76, 10.
[10] Fernandez, G., Moon, J., 2010. Excavation-Induced Hydraulic Conductivity Reduction Around a Tunnel – Part 1: Guideline for Estimate of Ground Water Inflow Rate. Tunnelling and Underground Space Technology. 25(5), 560–566.
[11] Chu, X., Ding, H., Zhang, X., 2021. Simulation of Solute Transport Behaviors in Saturated Karst Aquifer System. Scientific Reports. 11, 15614.
[12] Wu, S.T., Jiang, X.Z., Ma, X., et al., 2022. Study on the Delimitation of Affected Zone of Geological Environment for Karst Underground Engineering: Taking Longgang District, Shenzhen City as an Example. Carsologica Sinica. 41(5), 825–837. (in Chinese)
[13] Hou, Z., Yang, K., Li, Y.R., et al., 2022. Dynamic Prediction Model of Mining Subsidence Combined with D-InSAR Technical Parameter Inversion. Environmental Earth Sciences. 81, 307.
[14] Zhu, M.F., Yu, X.X., Tan, H., et al., 2023. Prediction Parameters for Mining Subsidence Based on Interferometric Synthetic Aperture Radar and Unmanned Aerial Vehicle Collaborative Monitoring. Applied Sciences. 13, 11128.
[15] Zhu, M., Yu, X., Tan, H., et al., 2024. High-Precision Monitoring and Prediction of Mining Area Surface Subsidence Using SBAS-InSAR and CNN-BiGRU-Attention Model. Scientific Reports. 14, 28968.
[16] Pawluszek-Filipiak, K., Borkowski, A., 2020. Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydułtowy Mine in Poland. Remote Sensing. 12, 242.
[17] Diao, X.P., Sun, Q.S., Yang, J., et al., 2022. A Novel Deformation Extraction Approach for Sub-Band InSAR and Its Application in Large-Scale Surface Mining Subsidence Monitoring. Sustainability. 15, 354.
[18] Chai, H.B., Hu, J.B., Geng, S.J., 2021. SBAS-InSAR Monitoring Method of Ground Subsidence in Mining Areas by Fusion with Measured Data. Journal of China Coal Society. 46(S1), 17–24.
[19] Xie, W.J., 2022. Analysis of Land Subsidence Variation Characteristics Under Different Means and Scales: A Case Study of Shenzhen Dakonggang District. Bulletin of Surveying and Mapping. 11, 138–143. (in Chinese)
[20] Chen, K., Xu, X.B., Chun, Y., et al., 2024. Study on PS Point Selection Method in Complex Surface Environment. Seismology and Geology. 46(5), 1012–1026. (in Chinese)
[21] Mo, L., Wang, X.N., 2023. Monitoring and Analysis of Ground and Building Settlement of Deep Trough in Houhai Based on PS-InSAR Technology. The Chinese Journal of Geological Hazard and Control. 34(1), 68–74.
[22] Feng, T.F., Shen, Y.Z., Chen, Q.J., et al., 2022. Seasonal Driving Sources and Hydrological-Induced Secular Trend of the Vertical Displacement in North China. Journal of Hydrology: Regional Studies. 41, 101091.
[23] Hu, J.Y., Motagh, M., Guo, J.M., et al., 2022. Inferring Subsidence Characteristics in Wuhan (China) Through Multitemporal InSAR and Hydrogeological Analysis. Engineering Geology. 297, 106530.
[24] Gong, H., Pan, Y., Zheng, L.Q., et al., 2018. Long-Term Groundwater Storage Changes and Land Subsidence Development in the North China Plain (1971–2015). Hydrogeology Journal. 26(5), 1417–1427.
[25] SJG 135-2023. 2023. Technical Standard for Monitoring and Surveying of Urban Rail Transit Engineering. Shenzhen Municipal Bureau of Housing and Construction: Shenzhen, China. Available from: https://zjj.sz.gov.cn/attachment/1/1599/1599548/10987523.pdf (in Chinese)
Copyright © 2025 Zhen Tang, Zhong-Wei Li
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
