Name
Abstract | ||
|---|---|---|
Land subsidence is one of the important geological hazards in urban construction in Beijing, which has received the attention of academia and government departments. Ground settlement have caused damage of the buildings, railways, bridges and other infrastructure and have caused huge losses of economic, urban construction and people's lives. In this study, we monitor the temporal and spatial distribution of land subsidence evolution based on InSAR techniques, and the ground subsidence trend is estimated using gray-markov model. We obtain time-series surface subsidence information in Beijing plain by 39 ENVISAT ASAR data from 2003 to 2010 and 27 Radarsat-2 data from 2010 to 2014 using PS-InSAR technique. we analyzed the characteristics of land subsidence in the plain area of Beijing city, it is found that the land subsidence in this area is in a state of accelerated development, and the maximum sedimentation rate can reach 126mm/year in some areas. Based on the monitoring results, our study adopts gray-markov prediction model to predict land subsidence in some observation points in Beijing plain. The research results can provide a preliminary reference for urban planning, construction, and subsequent research. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7730555 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
land subsidence, PS-InSAR, gray - Markov model, predict | Geologic hazards,Interferometric synthetic aperture radar,Computer science,Remote sensing,Subsidence,Groundwater-related subsidence,Urban planning,Beijing | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeng Deng | 1 | 0 | 0.34 |
| Yinghai Ke | 2 | 22 | 5.71 |
| Huili Gong | 3 | 88 | 29.37 |
| Beibei Chen | 4 | 35 | 8.00 |
| Lin Zhu | 5 | 2 | 4.13 |