Assessment of the temporal–spatial evolution of subsidence and its driving mechanism in the Beijing Plain (China) by using SAR interferometry and geological data

References

• Amelung F, Galloway DL, Bell JW, Zebker HA, Laczniak RL. 1999. Sensing the ups and downs of Las Vegas-InSAR reveals structural control of land subsidence and aquifer-system deformation. Geology 27(6):483–486.
   Web of Science ®Google Scholar
• ASAR Product Handbook of Envisat. 2007. Available online: https://earth.esa.int/pub/ESA_DOC/Envisat/ASAR/asar.ProductHandbook.2_2.pdf.
   Google Scholar
• Bai LY, Li X, Qin HM, Zhang XL, Zhang YZ. 2018. Study on the cyclic stratigraphy activity of Nankou–Sunhe fault in Beijing Plain since quaternary and its tectonic significance. Geoscience. 32(2):270–278.
   Google Scholar
• Bai LY, Zhang L, X. M. Wang, J. M C, Yang TS, Wu HC, He J, et al. 2014. Quaternary magnetostratigraphic time framework constraints on activity characteristics of the Shunyi Fault, Beijing Plain. Geoscience. 28(6):1234–1242.
   Google Scholar
• Beijing Water Resources Bulletin. 2007–2019. http://swj.beijing.gov.cn/zwgk/szygb/.
   Google Scholar
• Beijing. 2019. https://baike.baidu.com/item/beijing/128981.
   Google Scholar
• Bell JW, Amelung F, Ferretti A, Bianchi M, Novali F. 2008. Permanent scatterer InSAR reveals seasonal and long-term aquifer-system response to groundwater pumping and artificial recharge. Water Resour Res. 44(2):1–18.
   Web of Science ®Google Scholar
• Berardino P, Fornaro G, Lanari R, Sansosti E. 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sens. 40(11):2375–2383.
   Web of Science ®Google Scholar
• Bianchini S, Moretti S. 2015. Analysis of recent ground subsidence in the Sibari plain (Italy) by means of satellite SAR interferometry-based methods. Int J Remote Sens. 36(18):4550–4569.
   Web of Science ®Google Scholar
• Bianchini S, Solari L, Soldato MD, Raspini F, Montalti R, Ciampalini A, et al. 2019. Ground subsidence susceptibility (GSS) mapping in Grosseto Plain (Tuscany, Italy) based on satellite InSAR data using frequency ratio and fuzzy logic. Remote Sens. 11(17):1–27.
   Google Scholar
• Cai XM, Luan YB, Guo GX, Liu H. 2009. Geological system in Beijing Plain area. Theor Investig. 4(3):6–12.
   Google Scholar
• Canova F, Tolomei C, Salvi S, Toscani G, Seno S. 2012. Land subsidence along the Ionian coast of SE Sicily (Italy), detection and analysis via Small Baseline Subset (SBAS) multitemporal differential SAR interferometry. Earth Surface Processes and Landforms. 37(3):273–286.
   Google Scholar
• Chaussard E, Amelung F, Abidin H, Hong S-H. 2013. Sinking cities in Indonesia: ALSO PALSAR detects rapid subsidence due to groundwater and gas extraction. Remote Sens Environ. 128:150–161.
   Web of Science ®Google Scholar
• Chaussard E, Wdowinski S, Cabral-Cano E, Amelung F. 2014. Land subsidence in Central Mexico detected by ALOS InSAR time-series. Remote Sens Environ. 140:94–106.
   Web of Science ®Google Scholar
• Chatterjee RS, Fruneau B, Rudant JP, Roy PS, Frison P-L, Lakhera RC, Dadhwal VK, Saha R. 2006. Subsidence of Kolkata (Calcutta) City, India during the 1990s as observed from space by differential synthetic aperture radar interferometry (D-InSAR) technique. Remote Sens Environ. 102(1–2):176–185.
   Web of Science ®Google Scholar
• Chen FL, Lin H, Li Z, Chen Q, Zhou JM. 2012. Interaction between permafrost and infrastructure along the Qinghai–Tibet Railway detected via jointly analysis of C- and L-band small baseline SAR interferometry. Remote Sens Environ. 123:532–540.
   Web of Science ®Google Scholar
• Chen FL, Lin H, Zhou W, Hong TH, Wang G. 2013. Surface deformation detected by ALOS PALSAR small baseline SAR interferometry over permafrost environment of Beiluhe section, Tibet Plateau, China. Remote Sens Environ. 138:10–18.
   Web of Science ®Google Scholar
• Cianflone G, Tolomei C, Brunori CA, Dominici R. 2015. InSAR time series analysis of natural and anthropogenic coastal plain subsidence: the case of Sibari (Southern Italy). Remote Sens. 7(12):16004–16023.
   Google Scholar
• Cigna F, Cabral-Cano E, Osmanoglu B, Dixon TH, Wdowinski S. 2011. Detecting subsidence-induced faulting in Mexican urban areas by means of persistent scatterer interferometry and subsidence horizontal gradient mapping. Geoscience & Remote Sensing Symposium. IEEE. 2125-2128..
   Google Scholar
• Cigna F, Osmanoğlu B, Cabral-Cano E, Dixon TH, Ávila-Olivera JA, Garduño-Monroy VH, DeMets C, Wdowinski S. 2012. Monitoring land subsidence and its induced geological hazard with synthetic aperture radar interferometry: a case study in Morelia, Mexico. Remote Sens Environ. 117:146–161.
   Web of Science ®Google Scholar
• Cui WJ, Lei KC. 2018. Some ideas on land subsidence working from the view of coordinated development in Beijing–Tianjin–Hebei regions. Urban Geol. 13(2):25–30.
   Google Scholar
• Elias P, Kontoes C, Papoutsis I, Kotsis I, Marinou A, Paradissis D, Sakellariou D. 2009. Permanent scatterer InSAR analysis and validation in the Gulf of Corinth. Sensors (Basel)). 9(1):46–55.
   PubMed Web of Science ®Google Scholar
• Erban LE, Gorelick SM, Zebker HA. 2014. Groundwater extraction, land subsidence, and sea-level rise in the Mekong Delta, Vietnam. Environ Res Lett. 9(8):084010.
   Web of Science ®Google Scholar
• Ferretti A, Prati C, Rocca F. 2000. Non-linear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans Geosci Remote Sens. 38(5):2202–2212.
   Web of Science ®Google Scholar
• Ferretti A, Prati A, Rocca F. 2001. Permanent scatterers in SAR. IEEE Trans Geosci Remote Sens. 39(1):8–20.
   Web of Science ®Google Scholar
• Figueroa-Miranda S, Hernández-Madrigal VM, Tuxpan-Vargas J, Villaseñor-Reyes CI. 2020. Evolution assessment of structurally-controlled differential subsidence using SBAS and PS interferometry in an emblematic case in Central Mexico. Eng Geol. 279:105860.
   Web of Science ®Google Scholar
• Ge DQ, Wang Y, Guo XF, Liu SW, Fan JH. 2007. Surface deformation monitoring with multi-baseline D-InSAR based on coherent point target. J Remote Sens. 11(4):574–580.
   Google Scholar
• Ge DQ, Wang Y, Guo XF, Fan JH, Liu SW. 2008. Surface deformation field monitoring by use of small-baseline differential interferograms stack. J Geodesy Geodyn. 28(2):61–66.
   Google Scholar
• Ge DQ, Zhang L, Wang Y, Guo XF, Wang Y. 2017. Regional ground settlement monitoring method based on multiple track and long strip CTInSAR (coherent target synthetic aperture radar interferometry).
   Google Scholar
• Guo HP, Bai JB, Zhang YQ, Wang LY, Shi JS, Li WP, et al. 2017. The evolution characteristics and mechanism of land subsidence in typical areas of the North China Plain. Geol China. 44(6):1115–1127.
   Google Scholar
• Heleno SIN, Oliveira LGS, Henriques MJ, Falcão AP, Lima JNP, Cooksley G, Ferretti A, Fonseca AM, Lobo-Ferreira JP, Fonseca JFBD, et al. 2011. Persistent scatterers interferometry detects and measures ground subsidence in Lisbon. Remote Sens Environ. 115(8):2152–2167.
   Web of Science ®Google Scholar
• Hooper A, Zebker H, Segall P, Kampes B. 2004. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophys Res Lett. 31:L23611.
   Google Scholar
• Hu B, Wang HS, Sun YL, Hou JG, Liang J. 2014. Long-term land subsidence monitoring of Beijing (China) using the Small Baseline Subset (SBAS) technique. Remote Sens. 6(5):3648–3661.
   Google Scholar
• Hu L, Dai K, Xing C, Li Z, Tomás R, Clark B, Shi X, Chen M, Zhang R, Qiu Q, et al. 2019. Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations. Int J Appl Earth Obs Geoinform. 82:101886.
   Web of Science ®Google Scholar
• Jia SM, Wang HG, Zhao SS, Luo Y. 2007. A tentative study of the mechanism of land subsidence in Beijing. Anal Res. 2(1):20–26.
   Google Scholar
• Jiang LM, Lin H, Ma JW, Kong B, Wang Y. 2011. Potential of small-baseline SAR interferometry for monitoring land subsidence related to underground coal fires: Wuda (Northern China) case study. Remote Sens Environ. 115(2):257–268.
   Web of Science ®Google Scholar
• Lei KC, Luo Y, Chen BB, Guo GX, Zhou Y. 2016. Distribution characteristics and influence factors of land subsidence in Beijing area. Geol Chain. 43(6):2216–2225.
   Google Scholar
• Li M, Ge D, Liu B, Zhang L, Wang Y, Guo X, Wang Y, Zhang D. 2019. Research on development characteristics and failure mechanism of land subsidence and ground fissure in Xi'an, monitoring by using time-series SAR interferometry. Geomat Nat Hazards Risk. 10(1):699–718.
   Web of Science ®Google Scholar
• Liu YP, Zhang FL, Wang Y, Hu LY. 2014. Research on land subsidence of recent years Beijing. Sci Surv Mapp. 39(10):68–70.
   Google Scholar
• Liu MK, Kou WJ, Luo Y, Wang R, Tian F, Zhao CX, et al. 2016. Analysis of the relationship between groundwater exploitation and land subsidence in Beijing. Urban Geol. 11(1):21–25.
   Google Scholar
• Luo Y, Jia SM, Zhao B, Tian F. 2011. Characteristics and causes of land subsidence in the south of Beijing. Res Investig. 6(3):1–21.
   Google Scholar
• Luo Y. 2017. Research in the new trends of Beijing land subsidence. Shanghai Land & Resources. 38(2):13–17.
   Google Scholar
• Haghshenas Haghighi M, Motagh M. 2019. Ground surface response to continuous compaction of aquifer system in Tehran, Iran: Results from a long-term multi-sensor InSAR analysis. Remote Sens Environ. 221:534–550.
   Web of Science ®Google Scholar
• Meisina C, Zucca F, Fossati D, Ceriani M, Allievi J. 2006. Ground deformation monitoring by using the permanent scatterers technique: the example of the Oltrepo Pavese (Lombardia, Italy). Eng Geol. 88(3–4):240–259.
   Web of Science ®Google Scholar
• Metternicht G, Hurni L, Gogu R. 2005. Remote sensing of landslides: an analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments. Remote Sens Environ. 98(2–3):284–303.
   Web of Science ®Google Scholar
• Pacheco J, Arzate J, Rojas E, Arroyo M, Yutsis V, Ochoa G. 2006. Delimitation of ground failure zones due to land subsidence using gravity data and finite element modeling in the Querétaro valley, México. Eng Geol. 84(3–4):143–160.
   Web of Science ®Google Scholar
• Qu FF, Zhang Q, Lu Z, Zhao CY, Yang CS, Zhang J. 2014. Land subsidence and ground fissures in Xi'an, China 2005–2012 revealed by multi-band InSAR time-series analysis. Remote Sens Environ. 155:366–376.
   Web of Science ®Google Scholar
• Radarsat-2 Satellite Characteristics. 2015. http://www.asc-csa.gc.ca/eng/satellites/radarsat/radarsat-tableau.asp.
   Google Scholar
• Raucoules D, Cartannaz C, Mathieu F, Midot D. 2013. Combined use of space-borne SAR interferometric techniques and ground-based measurements on a 0.3 km2 subsidence phenomenon. Remote Sens Environ. 139:331–339.
   Web of Science ®Google Scholar
• Scharroo R, Visser P. 1998. Precise orbit determination and gravity field improvement for the ERS satellites. J Geophys Res. 103(C4):8113–8127.
   Web of Science ®Google Scholar
• Sharma P, Jones CE, Dudas J, Bawden GW, Deverel S. 2016. Monitoring of subsidence with UAVSAR on Sherman Island in California's Sacramento-San Joaquin Delta. Remote Sens Environ. 181:218–236.
   Web of Science ®Google Scholar
• Tian F, Luo Y, Zhou Y, Jiang Y, Yang Y, Chen ZZ. 2014. Dynamic changes of layered monitored land subsidence in Beijing. Shanghai Land Resour. 35(4):76–80.
   Google Scholar
• Tian F, Luo Y, Zhou Y, Li Y, Kou WJ, Jiang Y, et al. 2017. Contrastive analysis of spatial–temporal evolution between land subsidence and groundwater exploitation in Beijing. South-to-North Water Transfers Water Sci Technol. 15(2):163–169.
   Google Scholar
• Yang Y. 2013. Effectiveness of InSAR monitoring of land subsidence in Beijing. Shanghai Land Resour. 34(4):21–24.
   Google Scholar
• Yang Y, Zheng FD, Liu LC, Wang SF, Wang R. 2013. Study on the correlation between groundwater level and ground subsidence in Beijing plain areas. Geotechnical Investigation & Surveying. (8):44–48.
   Google Scholar
• Zhang Q, Zhao CY, Ding XL, Chen YQ, Wang L, Huang GW, et al. 2009. Research on recent characteristics of spatio-temporal evolution and mechanism of Xi’an land subsidence and ground fissure by using GPS and InSAR techniques. Chin J Geophys. 52(5):1214–1222.
   Google Scholar
• Zhang XL, Zhang L, Cai XM, Bai LY. 2016. A study of structure and activity characteristics of the northern segment of Huangzhuang–Gaoliying fault in Beijing Plain area. Geol China. 43(4):1258–1265.
   Google Scholar
• Zhao ZH. 2009. Analysis of the neotectonic activity and the bad geological phenomenon caused by it in Beijing Plain areas. J Geol Haz Environ Preserv. 20(2):66–70.
   Google Scholar