Multi-source data fusion analysis of land subsidence monitoring

doi:10.13474/j.cnki.11-2246.2020.0388

Abstract

Abstract: Land subsidence generally refers to a environmental geological phenomenon of a decline in regional ground elevation, which is caused by the soil compression in the joint action of natural and human factors. At the present, we find both advantages and disadvantages among the different monitoring methods of land subsidence. Changzhou-Wujin area is located in the sedimentation section of Yangtze River Delta. This paper explores the case of Wujin central city land subsidence monitoring project. With analysis, comparison and integration of the multi-source data from different monitoring methods, the result combines the advantages of different methods. It not only better describes the present situation and forecasts the trend of land subsidence, but also provides the more accurate and extensive data base for future land subsidence monitoring.

Key words: land subsidence, leveling surveying, GNSS, InSAR, data fusion

CLC Number:

P237

LIU Shengnan, TAO Jun, LU Yinhong. Multi-source data fusion analysis of land subsidence monitoring[J]. Bulletin of Surveying and Mapping, 2020, 0(12): 46-49.

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