Abstract

In order to accurately separate the elastic and inelastic deformation information caused by aquifer compression in the land subsidence signal, and to invert the hydrogeological parameters of high spatial and temporal resolution to better apply the groundwater-ground subsidence model, a CWT (Continuous Wavelet Transform) separation method for aquifer elastic and inelastic deformation signals based on CWT is adopted, and the deformation signal is extracted by InSAR technology. The large-scale synthetic aperture radar dataset obtained by Envisat satellite from 2007 to 2009 is collected to obtain the surface deformation characteristic of the area by SBAS-InSAR technology, and then the independence provided by the observation well is used. Using the independent water level data provided by the observation wells, combined with the vertical InSAR deformation component and the head data, the CWT method is used to separate the periodic deformation signal components and long-term trends. Finally, the isolated signal component is used to invert the elastic and inelastic storage coefficient based on the ground subsidence model. The settlement signal separation method used in this paper makes up for the shortcomings of the two kinds of information in the previous settlement signal that are difficult to separate, which allows for more accurate inversion of aquifer parameters and helps to understand the aquifer parameters and continuously manage groundwater resources.

中文翻译：

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基于InSAR和含水层参数反演的地面沉降监测

抽象的

为了准确分离地面沉降信号中含水层压缩引起的弹性和非弹性变形信息，并反演具有高时空分辨率的水文地质参数，以更好地应用地下水-地面沉降模型，CWT（连续小波变换）采用基于CWT的含水层弹性和非弹性变形信号分离方法，并利用InSAR技术提取变形信号。收集Envisat卫星从2007年至2009年获得的大规模合成孔径雷达数据集，通过SBAS-InSAR技术获得该区域的表面变形特征，然后利用观测井提供的独立性。利用观测井提供的独立水位数据，结合垂直InSAR变形分量和水头数据，使用CWT方法分离周期性变形信号分量和长期趋势。最后，基于地面沉降模型，将孤立的信号分量用于反演弹性和非弹性存储系数。本文采用的沉降信号分离方法弥补了先前沉降信号中难以分离的两种信息的不足，可以使含水层参数的反演更加准确，有助于理解含水层参数并进行持续管理。地下水资源。根据地面沉降模型，将孤立的信号分量用于反演弹性和非弹性存储系数。本文采用的沉降信号分离方法弥补了先前沉降信号中难以分离的两种信息的不足，可以使含水层参数的反演更加准确，有助于理解含水层参数并进行持续管理。地下水资源。根据地面沉降模型，将孤立的信号分量用于反演弹性和非弹性存储系数。本文采用的沉降信号分离方法弥补了先前沉降信号中难以分离的两种信息的不足，可以使含水层参数的反演更加准确，有助于理解含水层参数并进行持续管理。地下水资源。