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.
Highlights
With large-scale urban construction and excessive groundwater extraction, the water levels of cities have dropped significantly, which caused a series of geological disasters, especially serious surface settlement
Subsidence monitoring results with fine spatial-temporal resolution can be obtained by Interferometric synthetic aperture radar (InSAR) (Synthetic Aiding Radar Interferometry, InSAR), which provides a large amount of observed data to inverse the parameters of land subsidence prediction model
We apply continuous wavelet transform (CWT) to separate the deformation signals acquired by InSAR time series technology into long-term signals and short-term ones
Summary
With large-scale urban construction and excessive groundwater extraction, the water levels of cities have dropped significantly, which caused a series of geological disasters, especially serious surface settlement. Subsidence monitoring results with fine spatial-temporal resolution can be obtained by InSAR (Synthetic Aiding Radar Interferometry, InSAR), which provides a large amount of observed data to inverse the parameters of land subsidence prediction model. Conventional ways to acquire physical properties of aquifers are quite restrictive due to their spatial-temporal resolutions, which cannot well simulate the dynamic regimes of groundwater and land subsidence. To overcome this obstacle, Hoffman et al firstly applied long time series InSAR measurement technology to quantify the land subsidence in California and reversely deduced coefficient of storage in the aquifers with one-dimensional compression and consolidation model in
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EURASIP Journal on Wireless Communications and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
