基于高级InSAR时序分析方法的高速公路沉降分析
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摘要
利用一种新的分析方法 FRAM-SBAS时序分析方法,对兖州地区的ALOS PALSAR数据进行分析,研究该地区的高速公路沉降。FRAM-SBAS时序分析方法是一种融合了多种In SAR误差源校正方法的短基线集时序分析策略。利用Envisat数据,使用FRAM-SBAS时序分析方法获得的济宁地区在2008-09-21~2010-07-18期间地表的时序变化,得到了很好的研究结果,济宁地区最大时序沉降量为60 mm,最大沉降速率达到50 mm/a。高速公路路段最大沉降量达到53 mm,最大沉降速率为32 mm/a。而且高速公路沉降严重的路段均在地面沉降严重的区域,从而证明了矿区开采和车辆载荷对高速公路沉降的影响,同时也证明了该时序方法在地面及高速公路沉降监测方面的可行性。
A new analysis method is used to analyze the PALSAR ALOS data in Yanzhou area,and to study the FRAM-SBAS data in this area.FRAM-SBAS timing analysis method is a kind of short baseline set timing analysis method which is combined with a variety of In SAR error source correction methods.Using Envisat data,use FRAM-SBAS timing analysis method to obtain the Ji'ning area in 2008-09-21 ~ 2010-07-18 will during the surface changes in the timing of the obtained good results,the Ji'ning area maximum timing settlement of 60 mm,the maximum settlement rate reached 50 mm/a.The maximum settlement of the highway section is 53 mm,the maximum settlement rate is 32 mm/a.And the settlement of highway worst sections were in severe ground subsidence,thus proving the mining and vehicle load effect on settlement of highway.And it is proved that the timing method on the ground and highway subsidence monitoring is feasible.
A new analysis method is used to analyze the PALSAR ALOS data in Yanzhou area,and to study the FRAM-SBAS data in this area.FRAM-SBAS timing analysis method is a kind of short baseline set timing analysis method which is combined with a variety of In SAR error source correction methods.Using Envisat data,use FRAM-SBAS timing analysis method to obtain the Ji'ning area in 2008-09-21 ~ 2010-07-18 will during the surface changes in the timing of the obtained good results,the Ji'ning area maximum timing settlement of 60 mm,the maximum settlement rate reached 50 mm/a.The maximum settlement of the highway section is 53 mm,the maximum settlement rate is 32 mm/a.And the settlement of highway worst sections were in severe ground subsidence,thus proving the mining and vehicle load effect on settlement of highway.And it is proved that the timing method on the ground and highway subsidence monitoring is feasible.
引文
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18 Li Z,Fielding E J,Cross P.Integration of In SAR time-series analysis and water-vapor correction for mapping postseismic motion after the 2003 Bam(Iran)Earthquake.IGARSS 2009 Geoscience and Remote Sensing Symposium.New York:IEEE Press,2009:47(9):3220-3230
19李永生.高级时序In SAR地面形变监测及地震同震震后形变反演.哈尔滨:中国地震局工程力学研究所,2014Li Yongsheng.Surface deformation co-seismic and post-seismic activity constrained by advanced In SAR time series analysis.Harbin:Institute of Engineering Mechanics,China Earthquake Administration,2014
20李永生,张景发,李振洪,等.利用短基线集干涉测量时序分析方法监测北京市地面沉降.武汉大学学报(信息科学版),2013;38(11):1374-1377Li Yongsheng,Zhang Jingfa,Li Zhenhong,et al.Land subsidence in Beijing city from In SAR time series analysis with small baseline subset.Geomatics and Information Science of Wuhan University,2013;38(11):1374-1377
2 Gabriel A K,Goldstein R M,Zebker H A.Mapping small elevation changes over large areas:Differential radar interferometry.Journal of Geophysical Research Solid Earth,1989;94(B7):9183-9191
3 Massonnet D,Rossi M,Carmona C,et al.The displacement field of the Landers earthquake mapped by radar interferometry.Nature,1993;364(6433):138-142
4 Amelung F,Galloway D L,Bell J W,et al.Sensing the ups and downs of Las Vegas:In SAR reveals structural control of land subsidence and aquifer-system deformation.Geology,1999;27(6):483-486
5 Benedicte F,Francesco S.Detection of ground subsidence in the city of Paris using radar interferometry:Isolation of de formation from atmospheric artifacts using correlation.Geophysical Research Letters,2000;27(24):3981-3984
6 Pathier E,Angelier J,Fruneau B,et al.Contributions of In SAR to study active tectonics of Taiwan.IGARSS 2003 Geoscience and Remote Sensing Symposium.New York:IEEE Press,2003:221-223
7 Vallone P,Giammarinaro M S,Crosetto M,et al.Ground motion phenomena in Caltanissetta(Italy)investigated by In SAR and geological data integration.Engineering Geology,2008;98(3-4):144-155
8 Le Blanc A M,Short N,Oldenborger G A,et al.Geophysical investigation and In SAR mapping of permafrost and ground movement at the Iqaluit airport.American Society of Civil Engineers,2012;18(5):86-93
9 Lv X,Yazici B,Bennett V,et al.Joint pixels In SAR for health assessment of Levees in New Orleans.ACSE Geo-congress 2013.San Francisco:ASCE Online Proceedings,2013:279-288
10王超,刘智,张红,等.张北-尚义地震同震形变场雷达差分干涉测量.科学通报,2000;45(23):2550-2554Wang Chao,Liu Zhi,Zhang Hong,et al.Differential interferometry for the same seismic deformation field of Shangyi-Zhangbei earthquake.Chinese Science Bulletin,2000;45(23):2550-2554
11张红,王超,汤益先,等.基于SAR差分干涉测量的张北-尚义地震震源参数反演.科学通报,2001;46(21):1837-1841Zhang Hong,Wang Chao,Tang Yixian,et al.Seismic source parameters inversion of Zhangbei-Shangyi earthquake based on SARdifferential interferometry.Chinese Science Bulletin,2001;46(21):1837-1841
12方晓.基于D-In SAR技术的济宁地区地面沉降监测研究.西安:长安大学,2015Fang Xiao.The monitoring and analysis of subsidence based on D-In SAR technology in Jining area.Xi'an:Chang'an University,2015
13孟庆凯,汪宝存,苗放.基于短基线集方法(SBAS-INSAR)技术的山区城市地面沉降监测研究---以攀枝花为例.科学技术与工程,2016;16(13):12-17Meng Qingkai,Wang Baocun,Miao Fang.Research on monitoring the ground subsidence in mountainous city by SBAS-In SAR-A case study in Panzhihua city.Science Technology and Engineering,2016;16(13):12-17
14屈春燕,单新建,宋小刚,等.D-In SAR技术应用于汶川地震地表位移场的空间分析.地震地质,2010;32(2):175-190Qu Chunyan,Shan Xinjian,Song Xiaogang,et al.Spatial analysis of coseismic displacement field of the Wenchuan Ms8.0 earthquake derived using D-In SAR.Seismology and Geology,2010;32(2):175-190
15屈春燕,单新建,宋小刚,等.基于PSIn SAR技术的海原断裂带地壳形变初步研究.地球物理学报,2011;54(4):984-993Qu Chunyan,Shan Xinjian,Song Xiaogang,et al.The PSIn SARtechnique and its application to the study on crustal deformation of the Haiyuan fault zone.Chinese Journal of Geophysics,2011;54(4):984-993
16单新建,屈春燕,郭利民,等.基于In SAR与GPS观测的汶川同震垂直形变场的获取.地震地质,2014;36(3):718-730Shan Xinjian,Qu Chunyan,Guo Limin,et al.The vertical coseismic deformation field of the Wenchuan earthquake based on the combination of GPS and In SAR measurements.Seismology and Geology,2014;36(3):718-730
17单新建,张国宏,汪驰升,等.基于In SAR和GPS观测数据的尼泊尔地震发震断层特征参数联合反演研究.地球物理学报,2015;58(11):4266-4276Shan Xinjian,Zhang Guohong,Wang Chisheng,et al.Joint inversion for the spatial fault slip distribution of the 2015 Nepal Mw7.9earthquake based on In SAR and GPS observation.Chinese Journal of Geophysics,2015;58(11):4266-4276
18 Li Z,Fielding E J,Cross P.Integration of In SAR time-series analysis and water-vapor correction for mapping postseismic motion after the 2003 Bam(Iran)Earthquake.IGARSS 2009 Geoscience and Remote Sensing Symposium.New York:IEEE Press,2009:47(9):3220-3230
19李永生.高级时序In SAR地面形变监测及地震同震震后形变反演.哈尔滨:中国地震局工程力学研究所,2014Li Yongsheng.Surface deformation co-seismic and post-seismic activity constrained by advanced In SAR time series analysis.Harbin:Institute of Engineering Mechanics,China Earthquake Administration,2014
20李永生,张景发,李振洪,等.利用短基线集干涉测量时序分析方法监测北京市地面沉降.武汉大学学报(信息科学版),2013;38(11):1374-1377Li Yongsheng,Zhang Jingfa,Li Zhenhong,et al.Land subsidence in Beijing city from In SAR time series analysis with small baseline subset.Geomatics and Information Science of Wuhan University,2013;38(11):1374-1377