Settlement monitoring and analysis along Xi'an metro line based on time series insar technology
The construction and operation of urban rail transit has caused surface subsidence along and around the subway,and the occurrence of surface subsidence will cause hidden dangers to people's lives and properties.In order to understand the phenomenon of land subsidence along the subway in Xi'an,this paper uses the SBAS-InSAR method to obtain the surface deformation information along the subway network based on the Sentinel-1A image data of 44 scenes covering Xi'an from 2017 to 2021,and based on the SVR model and LSTM model to analyze Prediction and comparative analysis of ground subsidence in typical subway stations.The research found that:(1)There are different degrees of subsidence along the Xi'an subway line,and the uplift areas are mainly concentrated in the Yuhuazhai area,the Electronic City area,and the southern part of the Xi'an city wall,with an maximum uplift rate of 25 mm/a;(2)The southern part of Line 2,the east and west sections of Line 5 and the east section of Line 9 are the main road sections where settlement occurs,and the overall uneven settlement along Line 5 is relatively serious,with a maximum settlement rate of 32 mm/a and a maximum cumulative settlement of 130 mm;(3)Through the comparison of model experiments,it is found that the accuracy of the LSTM model is relatively high.The prediction results show that the area around Matengkong Station-Qinglongsi Station of Line 5 will continue to subside at a rate of about 2.3 mm per month in the next four months.
SBAS-InSARLand subsidenceLSTMPredictive analyticsXi'an metro
NETL
NSTL
万方数据
