时序InSAR的连云港及盐城北部地表沉降研究
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摘要
针对连云港和盐城北部等地区的地表沉降问题,该文基于改进的多主影像相干目标小基线干涉技术,并利用多时相ALOS PALSAR和Radarsat-2干涉影像研究该地区的地表沉降。研究表明,虽然2007—2011年连云港及盐城北部地区整体地表状态相对稳定,但在连云港沿海地区和盐城市区存在明显沉降,最大沉降速率高达-80 mm/a;2012—2015年连云港市与盐城市北部地表沉降明显加剧,连云区和赣榆区持续发生沉降,灌云县、灌南县、响水县以及涟水县的成片沉降形成了大范围沉降漏斗,其中连云港市和盐城北部最大沉降速率分别为-76和-81mm/a;连云港与盐城北部地区沉降速率小于-10mm/a,其沉降区域面积分别达到了1 054.49和1 492.11km2,对当地社会、经济的危害不容忽视。
Aiming at surface subsidence problem in Lianyungang and Yancheng areas,the paper studied the surface subsidence by the modified multi main image coherent target small baseline interferometry(MCTSB-InSAR)and multi-temporal ALOS PALSAR and Radarsat-2 interference images.The results showed that although the overall surface conditions in Lianyungang and northern Yancheng was relatively stable from 2007 to 2011,there were obvious subsidence rates in the coastal areas of Lianyungang and Yancheng district,the maximum settlement rate was as high as-80 mm/a.the surface subsidence from 2012 to 2015 in Lianyungang and northern Yancheng obviously aggravated,and continued deposition occurred in both Lianyun and Ganyu District.Guanyun County,Guannan County,Xiangshui County and Lianshui County have formed largescale settlement funnels,the maximum sedimentation rates in Lianyungang and northern Yancheng were-76 and-81 mm/a respectively.Although the sedimentation rate was less than-10 mm/a in Lianyungang and northern Yancheng,the subsidence area reached 1 054.49 and 1 492.11 km2 respectively,the harm to local society and economy cannot be ignored.
Aiming at surface subsidence problem in Lianyungang and Yancheng areas,the paper studied the surface subsidence by the modified multi main image coherent target small baseline interferometry(MCTSB-InSAR)and multi-temporal ALOS PALSAR and Radarsat-2 interference images.The results showed that although the overall surface conditions in Lianyungang and northern Yancheng was relatively stable from 2007 to 2011,there were obvious subsidence rates in the coastal areas of Lianyungang and Yancheng district,the maximum settlement rate was as high as-80 mm/a.the surface subsidence from 2012 to 2015 in Lianyungang and northern Yancheng obviously aggravated,and continued deposition occurred in both Lianyun and Ganyu District.Guanyun County,Guannan County,Xiangshui County and Lianshui County have formed largescale settlement funnels,the maximum sedimentation rates in Lianyungang and northern Yancheng were-76 and-81 mm/a respectively.Although the sedimentation rate was less than-10 mm/a in Lianyungang and northern Yancheng,the subsidence area reached 1 054.49 and 1 492.11 km2 respectively,the harm to local society and economy cannot be ignored.
引文
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[15]张永红,张继贤,龚文瑜,等.基于SAR干涉点目标分析技术的城市地表形变监测[J].测绘学报,2009,38(6):482-487.(ZHANG Yonghong,ZHANG Jixian,GONG Wenyu,et al.Monitoring urban subsidencebased on SAR interferometric point target analysis[J].Acta Geodaetica et Cartographica Sinica,2009,38(6):482-487.)
[16]朱叶飞,陈火根,张登明,等.基于PS-InSAR的1995—2000年苏州地面沉降监测[J].地球科学进展,2010,25(4):428-434.(ZHU Yefei,CHEN Huogeng,ZHANG Dengming,et al.Subsidence of Suzhou areafrom 1995to 2000detected by persistent scatterers forSAR interferometry technique[J].Advances in EarthScience,2010,25(4):428-434.)
[17]于军,李振洪,武健强.InSAR/GPS集成技术在常州:无锡地面沉降监测中的应用研究[J].自然科学进展,2009,19(11):1267-1271.(YU Jun,LI Zhenhong,WUJianqiang. Application research of InSAR/GPSintegrated technology in Changzhou-Wuxi land subsidencemonitoring[J].Progress in Natural Science,2009,19(11):1267-1271.)
[18]朱薇,刘福春.常州市地表沉降观测与成果分析[J].测绘工程,2007,16(6):54-57.(ZHU Wei,LIU Fuchun.Subsidence of surface and analysis of survey data inChangzhou city[J].Engineering of Surveying andMapping,2007,16(6):54-57.)
[19]朱邦彦,李建成,褚征伟,等.利用时序InSAR反演常州市地表沉降速率[J].测绘通报,2016(5):26-31.(ZHU Bangyan,LI Jiancheng,CHU Zhengwei,et al.Inversion of earth surface displacement rates based ontemporal InSAR method in Changzhou city[J].Bulletin ofSurveying and Mapping,2016(5):26-31.)
[20]孟磊,冯启言,张海荣,等.徐州大屯中心区地面沉降机理分析与危险性评价[J].中国地质灾害与防治学报,2008,19(3):60-63.(MENG Lei,FENG Qiyan,ZHANG Hairong,et al.Mechanism analysis and hazardassessment on land subsidence in Datun central districtof Xuzhou city[J].The Chinese Journal of GeologicalHazard and Control,2008,19(3):60-63.)
[21]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS InSAR监测:以徐州市为例[J].测绘通报,2017(1):58-64.(JIANG Decai,ZHANG Jixian,ZHANG Yonghong,et al.Ground deformation overcentury-long coal mining city monitored through incor-porating both PS and SBAS InSAR:a case study ofXuzhou[J].Bulletin of Surveying and Mapping,2017(1):58-64.)
[22]何敏,何秀凤.利用时间序列干涉图叠加法监测江苏盐城地区地面沉降[J].武汉大学学报(信息科学版),2011,36(12):1461-1465.(HE Min,HE Xiufeng.Ground subsidence detection of Yancheng city usingtime series interferogram stacking[J].Geomatics andInformation Science of Wuhan University,2011,36(12):1461-1465.)
[23]罗海滨,赵显富.基于PS-DInSAR技术监测盐城地面沉降的结果与分析[J].测绘通报,2012(11):35-37,46.(LUO Haibin,ZHAO Xianfu.Results and analysisof subsidence monitoring in Yancheng city using PS-DInSAR[J].Bulletin of Surveying and Mapping,2012(11):35-37,46.)
[24]张永红,吴宏安,康永辉.京津冀地区1992—2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058.(ZHANG Yonghong,WU Hongan,KANG Yonghui.Ground subsidence over Beijing-Tian-jin-Hebei region during three periods of 1992to 2014monitored by interferometric SAR[J].Acta Geodaetica etCartographica Sinica,2016,45(9):1050-1058.)
[25]姜德才,张永红,张继贤,等.天津市地铁线不均匀地表沉降InSAR监测[J].遥感信息,2017,32(6):27-32.(JIANG Decai,ZHANG Yonghong,ZHANG Jixian,et al.Uneven land subsidence along tianjin subwaylines monitored by InSAR technology[J].RemoteSensing Information,2017,32(6):27-32.)
[26]ZHANG Lei,DING Xiaoli,LU Zhong.ModelingPSInSAR time series without phase unwrapping[J].IEEE Transactions on Geoscience an Remote Sensing,2011,49(1):547-556.
[27]张永红,吴宏安,孙广通.时间序列InSAR技术中的形变模型研究[J].测绘学报,2012,41(6):864-869.(ZHANG Yonghong,WU Hongan,SUN Guangtong.Deformation model of time series interferometric SARtechniques[J].Acta Geodaetica et Cartographica Sinica,2012,41(6):864-869.)
[2]ZEBKER H A,VILLASENOR J.Decorrelation ininterferometric radar echoes[J].IEEE Transactions onGeoscience and Remote Sensing,1992,30(5):950-959.
[3]DING X L,LI Z W,ZHU J J,et al.Atmosphericeffects on InSAR measurements and their mitigation[J].Sensors,2008,8(9):5426-5448.
[4]USAI S,KLEES R.SAR interferometry on a very longtime scale:a study of the interferometric characteristics ofman-made features[J].IEEE Transactions on Geoscienceand Remote Sensing,2002,40(11):2375-2383.
[5]LUNDGREN P,USAI S,SANSONSTI E.Modelingsurface deformation observed with synthetic apertureradar interferometry at Campi Flegrei caldera[J].Journalof Geophysical Research,2001,106:19355-19366.
[6]FERRETTI A,ROCCA F,PRATI C.Permanent scatterersin SAR interferometry[J].IEEE Transactions on Geoscience&Remote Sensing,2001,39(1):8-20.
[7]FERRETTI A,PRATI C,ROCCA F. Nonlinearsubsidence rate estimation using the permanent scatterersin differential SAR interferometry[J].IEEE Transactionon Geoscience and Remote Sensing,2000,38(5):2202-2212.
[8]FERRETTI A,PRATI C,ROCCA F.Permanentscatterers in SAR interferometry[J].IEEE Transac-tions on Geosciences and Remote Sensing,2001,39(1):8-20.
[9]BERARDINO P,FORNARO G,LANARI R.A newalgorithm for surface deformation monitoring base onsmall baseline differential interferograms[J].IEEETransactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[10]BERARDINO P,CASU F,FORNARO G,et al.Smallbaseline DIFSAR technique for earth surface deformationanalysis[C]//FRING Workshop.Franscati,Italy:[s.n.],2004:550.
[11]BERARDINO P,FORNARO G,LANARI R,et al.Atwo-scale differential SAR interferometry approach forinvestigating earth surface deformations[J].IEEEInternational Geoscience &Remote Sensing,2003:1184-1186.
[12]LANARI R,MORA O,MANUNTA M,et al.A small-baseline approach for investigating deformations onfull-resolution differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(7):1377-1386.
[13]MORA O,MALLORQUI J J,BROQUETAS A.Linearand nonlinear terrain deformation maps from a reducedset of interferometric SAR images[J].IEEE Transac-tions on Geoscience and Remote Sensing,2003,41(10):2243-2252.
[14]MORA O,MALLORQUI J J,LANARI R.Differentialinterferometric SAR techniques for generation ofterrain and building deformation maps[EB/OL].[2018-04-17].https://www.researchgate.net/publi-cation/228981193_Differential_interferometric_SAR_techniques_for_generation_of_terrain_and_building_deformation_maps.
[15]张永红,张继贤,龚文瑜,等.基于SAR干涉点目标分析技术的城市地表形变监测[J].测绘学报,2009,38(6):482-487.(ZHANG Yonghong,ZHANG Jixian,GONG Wenyu,et al.Monitoring urban subsidencebased on SAR interferometric point target analysis[J].Acta Geodaetica et Cartographica Sinica,2009,38(6):482-487.)
[16]朱叶飞,陈火根,张登明,等.基于PS-InSAR的1995—2000年苏州地面沉降监测[J].地球科学进展,2010,25(4):428-434.(ZHU Yefei,CHEN Huogeng,ZHANG Dengming,et al.Subsidence of Suzhou areafrom 1995to 2000detected by persistent scatterers forSAR interferometry technique[J].Advances in EarthScience,2010,25(4):428-434.)
[17]于军,李振洪,武健强.InSAR/GPS集成技术在常州:无锡地面沉降监测中的应用研究[J].自然科学进展,2009,19(11):1267-1271.(YU Jun,LI Zhenhong,WUJianqiang. Application research of InSAR/GPSintegrated technology in Changzhou-Wuxi land subsidencemonitoring[J].Progress in Natural Science,2009,19(11):1267-1271.)
[18]朱薇,刘福春.常州市地表沉降观测与成果分析[J].测绘工程,2007,16(6):54-57.(ZHU Wei,LIU Fuchun.Subsidence of surface and analysis of survey data inChangzhou city[J].Engineering of Surveying andMapping,2007,16(6):54-57.)
[19]朱邦彦,李建成,褚征伟,等.利用时序InSAR反演常州市地表沉降速率[J].测绘通报,2016(5):26-31.(ZHU Bangyan,LI Jiancheng,CHU Zhengwei,et al.Inversion of earth surface displacement rates based ontemporal InSAR method in Changzhou city[J].Bulletin ofSurveying and Mapping,2016(5):26-31.)
[20]孟磊,冯启言,张海荣,等.徐州大屯中心区地面沉降机理分析与危险性评价[J].中国地质灾害与防治学报,2008,19(3):60-63.(MENG Lei,FENG Qiyan,ZHANG Hairong,et al.Mechanism analysis and hazardassessment on land subsidence in Datun central districtof Xuzhou city[J].The Chinese Journal of GeologicalHazard and Control,2008,19(3):60-63.)
[21]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS InSAR监测:以徐州市为例[J].测绘通报,2017(1):58-64.(JIANG Decai,ZHANG Jixian,ZHANG Yonghong,et al.Ground deformation overcentury-long coal mining city monitored through incor-porating both PS and SBAS InSAR:a case study ofXuzhou[J].Bulletin of Surveying and Mapping,2017(1):58-64.)
[22]何敏,何秀凤.利用时间序列干涉图叠加法监测江苏盐城地区地面沉降[J].武汉大学学报(信息科学版),2011,36(12):1461-1465.(HE Min,HE Xiufeng.Ground subsidence detection of Yancheng city usingtime series interferogram stacking[J].Geomatics andInformation Science of Wuhan University,2011,36(12):1461-1465.)
[23]罗海滨,赵显富.基于PS-DInSAR技术监测盐城地面沉降的结果与分析[J].测绘通报,2012(11):35-37,46.(LUO Haibin,ZHAO Xianfu.Results and analysisof subsidence monitoring in Yancheng city using PS-DInSAR[J].Bulletin of Surveying and Mapping,2012(11):35-37,46.)
[24]张永红,吴宏安,康永辉.京津冀地区1992—2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058.(ZHANG Yonghong,WU Hongan,KANG Yonghui.Ground subsidence over Beijing-Tian-jin-Hebei region during three periods of 1992to 2014monitored by interferometric SAR[J].Acta Geodaetica etCartographica Sinica,2016,45(9):1050-1058.)
[25]姜德才,张永红,张继贤,等.天津市地铁线不均匀地表沉降InSAR监测[J].遥感信息,2017,32(6):27-32.(JIANG Decai,ZHANG Yonghong,ZHANG Jixian,et al.Uneven land subsidence along tianjin subwaylines monitored by InSAR technology[J].RemoteSensing Information,2017,32(6):27-32.)
[26]ZHANG Lei,DING Xiaoli,LU Zhong.ModelingPSInSAR time series without phase unwrapping[J].IEEE Transactions on Geoscience an Remote Sensing,2011,49(1):547-556.
[27]张永红,吴宏安,孙广通.时间序列InSAR技术中的形变模型研究[J].测绘学报,2012,41(6):864-869.(ZHANG Yonghong,WU Hongan,SUN Guangtong.Deformation model of time series interferometric SARtechniques[J].Acta Geodaetica et Cartographica Sinica,2012,41(6):864-869.)