Emerging risks and the prospect of urban underground space security based on InSAR-GRACE satellite under the new hydrological background
YU Hairuo1,2,3,4,5,6,7(), GONG Huili1,2,3,4,5,6,7(), CHEN Beibei1,2,3,4,5,6,7, ZHOU Chaofan1,2,3,4,5,6,7
1. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China 2. The Key Lab of Resource Environment and GIS of Beijing, Capital Normal University, Beijing 100048, China 3. Base of the State Key Laboratory of Urban Environmental Process and Digital Modeling, Capital Normal University, Beijing 100048, China 4. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China 5. Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, Ministry of Education, Capital Normal University, Beijing 100048, China 6. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China 7. Observation and Research Station of Groundwater and Land Subsidence in Beijing-Tianjin-Hebei Plain, Ministry of Natural Resources, Beijing 100048, China
Regional surface subsidence caused by the development and use of urban underground space is a major hazard endangering the safety of Beijing-Tianjin-Hebei city cluster. This paper briefly reviews the development history of interferometic synthetic aperture Radar (InSAR) technology, systematically summarizes the progress of applying gravity recovery and climate experiment (GRACE) satellite in underground water reserve, illustrates multiple factors containing subsidence, and finally ascribes the subsidence to multiple fields of underground space. Under the new hydrological background of the interaction between South-to-North Water Diversion and mining of underground water, InSAR-GRACE technology is a brand-new means for studying the impact of underground space evolution on land subsidence. Based on InSAR-GRACE technology, this paper rediscovers the regional water circulation laws, quantifies the contribution of multiple fields to subsidence evolution, proposes the surface response research framework for the evolution of underground space, and reveals the formation mechanism on the surface subsidence response model, thereby establishing an emerging risks prevention and control early warning mechanism for underground space security and realizing scientific regulation and control of the region.
于海若, 宫辉力, 陈蓓蓓, 周超凡. 新水情下利用InSAR-GRACE卫星的新兴风险预警与城市地下空间安全展望[J]. 国土资源遥感, 2020, 32(4): 16-22.
YU Hairuo, GONG Huili, CHEN Beibei, ZHOU Chaofan. Emerging risks and the prospect of urban underground space security based on InSAR-GRACE satellite under the new hydrological background. Remote Sensing for Land & Resources, 2020, 32(4): 16-22.
China Geological Survey Bureau,Ministry of Natural Resources. Real time monitoring of land subsidence in North China by Trinity monitoring network[EB/OL](2015-04-13)[2019-12-12]. http://www.cgs.gov.cn/xwl/cgkx/201603/t20160309_299270.html.
[2]
Zhang Y Q, Gong H L, Gu Z Q, et al. Characterization of land subsidence induced by ground water withdraws in the plain of Beijing City,China[J]. Hydrogeology Journal, 2014,22(2):397-409
doi: 10.1007/s10040-013-1069-x
[3]
Ferretti A, Prati C, Rocca F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000,38(5):2202-2212.
[4]
Berardino P, Fornaro G, Lanari R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,40(11):2375-2383
[5]
RémI M, Avouac J P, Taboury J. Measuring near field coseismic displacements from SAR images:Application to the Landers earthquake[J]. Geophysical Research Letters, 1999,26(19):3017-3020.
[6]
Fialko Y A, Rubin A M. Thermal and mechanical aspects of magma emplacement in giant dike swarms[J]. Journal of Geophysical Research, 1999,104(b10):23033.
doi: 10.1029/1999JB900213
[7]
Usai S. A least-squares approach for long-term monitoring of deformations with differential SAR interferometry[C]// Geoscience and Remote Sensing Symposium. IEEE, 2002.
[8]
Wright T J, Parsons B E, Lu Z. Toward mapping surface deformation in three dimensions using InSAR[J]. Geophysical Research Letters, 2004,31(1):L01607.
[9]
Bechor N B D, Zebker H A. Measuring two-dimensional movements using a single InSAR pair[J]. Geophysical Research Letters, 2006,33(16):L16311.
[10]
Zhang L, Lu Z, Ding X, et al. Mapping ground surface deformation using temporarily coherent point SAR interferometry:Application to Los Angeles Basin[J]. Remote Sensing of Environment, 2012,117(1):429-439.
[11]
Ma P, Lin H. Robust detection of single and double persistent scatterers in urban built environments[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016,54(4):2124-2139.
[12]
Wahr J, Molenaar M, Bryan F. Time variability of the Earth’s gravity field:Hydrological and oceanic effects and their possible detection using GRACE[J]. Journal of Geophysical Research Atmospheres, 1998,103(b12):30205-30229.
[13]
Tapley B D, Bettadpur S, Ries J C, et al. GRACE measurements of mass variability in the earth system[J]. Science, 2004,305(5683):503-505.
pmid: 15273390
[14]
Rodell M, Velicogna I, Famiglietti J S. Satellite based estimates of groundwater depletion in India[J]. Nature, 2009,460(7258):999-1002.
doi: 10.1038/nature08238
pmid: 19675570
Zhang T Q, He Q S, Jing C L, et al. Dynamic monitoring of groundwater in the plain area of Beijing based on InSAR[J]. Science Technology and Engineering, 2019,19(12):16-22.
Gong H L, Li X J, Pan Y, et al. Groundwater depletion and regional land subsidence of the Beijing-Tianjin-Hebei area[J]. China Science Foundation, 2017,31(1):72-77.
Cheng L P, Fan Z X, Wang X H, et al. New trend of groundwater and land subsidence in typical areas after the south-to-north water transfer into Beijing[J]. Yellow River, 2018,40(7):82-87.
Li Y S, Xiao L P. Change rule and calculation method of land subsidence prediction parameters[J]. Journal of Southwest Jiaotong University, 2006,41(4):424-428.
Liu K, Peng J, Peng F L. Suitability evaluation model of underground space resources development and utilization[J]. Journal of Underground Space and Engineering, 2011,7(2):219-231.
Wang L, Li X, Bao Y X, et al. Research progress of remote sensing application on transportation meteorological disasters[J]. Remote Sensing for Land and Resources, 2018,30(4):1-7.doi: 10.6046/gtzyyg.2018.04.01.