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作 者:陈德良 陆燕燕 贾东振[3] CHEN Deliang;LU Yanyan;JIA Dongzhen(College of Geographic and Biologic Information,Nanjing University of Posts and Telecommunications,Nanjing 210023,Chi na;College of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 210023,China;School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
机构地区:[1]南京邮电大学地理与生物信息学院,江苏南京210023 [2]南京大学地理与海洋科学学院,江苏南京210023 [3]河海大学地球科学与工程学院,江苏南京211100
出 处:《人民长江》2018年第12期59-65,共7页Yangtze River
基 金:国家自然科学基金项目(41601497,41474001); 江苏省测绘地理信息科研项目(JSCHKY201604); 南京邮电大学引进人才科研启动基金项目(NY214195); 中国博士后科学基金面上资助项目(2017M62176)
摘 要:针对常规大地测量监测城市区域形变结果无法全面揭示大范围地表形变机理的局限性,尝试采用2006年9月至2010年2月覆盖常州地区的31景ENVISAT ASAR数据,结合Sta MPS-In SAR方法对常州地区的大范围地表形变进行监测。结果表明:地表的年沉降速率为-58~24 mm,沉降较大的区域主要集中在武进区,而主城区以地表回弹为主。同时将沉降值较大的区域结合光学影像进行分析,发现沉降值较大区域主要为工业生产区;对京沪铁路沿线的形变分析结果表明,Sta MPS-In SAR方法目前在线性目标的监测方面效果也较好。最后利用监测区域同期水准数据与In SAR结果比较,验证了Sta MPS-In SAR方法在大范围形变监测中的可靠性、准确性和精确性。Aiming at the limitations that the traditional geodetic measurements results of urban areas cannot completely reveal the deformation mechanism in large regions,Envisat ASAR data( 31 images from September 2006 to February 2012) were analyzed,using the Sta MPS-In SAR method,to investigate the spatial-temporal ground surface deformation in Changzhou City. It showed that the annual deformation rate inferred from SAR images ranged from-58 mm to 24 mm per year,serious subsidence areas were mainly distributed in Wujin District and land rise areas were found in the downtown area. Areas suffered from serious land subsidence were concentrated in the industrial production areas. The In SAR results along the Beijing-Shanghai railway indicated that Sta MPS-In SAR method has good effect on linear project monitoring. At last,contemporaneous levelling data were compared with the In SAR measurements,and it proved that Sta MPS-In SAR method had high reliability,accuracy and precision in monitoring ground surface deformation over a large area.
关 键 词:Sta MPS-In SAR 地表形变 沉降速率 常州市
分 类 号:TV698[水利工程—水利水电工程]
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