期刊文献+

InSAR形变大数据在沿江城市中的研究与应用

Research and application of insar deformation big data in cities along the river
下载PDF
导出
摘要 沿江城市普遍存在填湖、填江造陆,季节性形变,江水侵蚀沿岸等现实情况。以长江洞庭湖段岳阳市岳阳楼区为研究区域,基于COSMO-SkyMed卫星星座,应用时序合成孔径雷达干涉测量技术(MT-InSAR)对研究区进行形变监测。结果表明:江水由宽江道进入窄江道,窄江道承受的切应力明显增大,分别由26~47 N/m^(2)增大到50~53 N/m^(2);沿江(城陵矶港)季节性形变与降雨相关性较低,非沿江季节形变与降雨相关性较高,非沿江地区形变活跃期具有周年变化的特点,沿江形变活跃期约在230~360 d期间;对沿江和非沿江形变信号进行谱分析,两者形变信号在频域上具有明显差异,此种差异具有作为洪水灾害指示信号的潜力。 The cities along the river are generally filled with lakes and rivers;seasonal deformation;river water erosion along the coast and other realities.Taking Yueyanglou District,Yueyang City,Dongting Lake section of the Yangtze River as the research pilot,based on COSMO-SkyMed satellite constellation,time series synthetic aperture radar interferometry(MT-InSAR)was applied to conduct large data deformation monitoring in the study area.The result of InSAR shape change rate big data mining show that:when the river flows from wide channel to narrow channel,the shear stress of narrow channel increases significantly,from^(2)6~47 N/m^(2) to 50~53 N/m^(2);T he correlation between seasonal deformation along the river(Chenglingji Port)and rainfall is relatively low,while that between non riverside seasonal deformation and rainfall is relatively high.The active period of deformation in non riverside areas has the characteristics of annual change.The active period of deformation along the river is about 230~360 days;the spectrum analysis of deformation signals along the river and non-river shows that there are obvious differences between the deformation signals in the frequency domain,and this difference has the potential as an indicator signal of flood disaster.
作者 朱茂 杨云飞 贺秋华 徐康 江涛 郑婵玉 李吉平 ZHU Mao;YANG Yunfei;HE Qiuhua;XU Kang;JIANG Tao;ZHENG Chanyu;LI Jiping(Hunan Vastitude Technology Co.,Ltd.,Changsha 410000,Hunan,China;Hunan Key Laboratory of Remote Sensing Monitoring of Ecological Environment in Dongting Lake Area,Changsha 410004,Hunan,China;Hunan Natural Resources Affairs Center,Changsha 410004,Hunan,China;Beijing Vastitude Technology Co.,Ltd.,Beijing 100080,China)
出处 《水利水电技术(中英文)》 北大核心 2023年第S01期313-320,共8页 Water Resources and Hydropower Engineering
基金 洞庭湖区生态环境遥感监测湖南省重点实验室开放课题资助(DTH Key Lab.2021-26)。
关键词 INSAR 河岸冲刷模型 数据挖掘 快速傅里叶变换 COSMO-SkyMed星座 InSAR bank scour model data mining FFT COSMO-SkyMed
  • 相关文献

参考文献19

二级参考文献182

共引文献550

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部