利用数据场模型评价北京地面沉降交通载荷程度

doi:10.13278/j.cnki.jjuese.201705205

Abstract

Abstract: Land subsidence is a kind of slowly changing geological disaster caused by the reduction of ground elevation. In order to evaluate the degree of land subsidence and traffic load, we used PS-InSAR technique to obtain the spatial character of the land subsidence in the east of Beijing area, and evaluated the traffic load level of the ground subsidence based on the information of the subway station and the road node by using data field model. Further, we used the factor contribution weight method to achieve the land subsidence traffic load degree zoning map of Beijing. The results show that the land subsidence information can be extracted by PS-InSAR, and the maximum subsidence reaches 77.69 mm/a. The high level of regional land subsidence traffic load is mainly distributed in the northern and central regions of Chaoyang; while the area of low level regional land subsidence traffic load is mainly located far away from the city's main traffic roads and subway lines.

Key words: land subsidence, PS-InSAR, data field, evaluation of traffic load level

CLC Number:

P642.26

Zhou Chaofan, Gong Huili, Chen Beibei, Jia Xu, Zhu Feng, Guo Lin. Assessment to Ground Subsidence Traffic Load in Beijing Area Using Data Field Mode[J].Journal of Jilin University(Earth Science Edition), 2017, 47(5): 1511-1520.

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Assessment to Ground Subsidence Traffic Load in Beijing Area Using Data Field Mode

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