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

吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (5): 1511-1520.doi: 10.13278/j.cnki.jjuese.201705205

利用数据场模型评价北京地面沉降交通载荷程度

周超凡^1,2,3, 宫辉力^1,2,3, 陈蓓蓓^1,2,3, 贾煦^1,2,3, 朱锋⁴, 郭琳^1,2,3

1. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
2. 北京市城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048;
3. 首都师范大学资源环境与旅游学院, 北京 100048;
4. 北京市育英学校, 北京 100072

收稿日期:2016-12-26 出版日期:2017-09-26 发布日期:2017-09-26
通讯作者: 宫辉力(195),男,教授,博士生导师,主要从事区域地面沉降理论与应用方面的研究,E-mail:gonghl_1956@126.com E-mail:gonghl_1956@126.com
作者简介:周超凡(1990),女,博士研究生,主要从事区域地沉降方面的研究,E-mail:chaofan0322@126.com
基金资助:
国家自然科学基金项目（4140010982，41130744，41171335）；北京市教委专项（20130419）

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

Zhou Chaofan^1,2,3, Gong Huili^1,2,3, Chen Beibei^1,2,3, Jia Xu^1,2,3, Zhu Feng⁴, Guo Lin^1,2,3

1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China;
2. State Key Laboratory Breeding Base of Process of Urban Environment and Digital Simulation, Beijing 100048, China;
3. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
4. Beijing Yuying School, Beijing 100072, China

Received:2016-12-26 Online:2017-09-26 Published:2017-09-26
Supported by:
Supported by National Natural Science Foundation of China (4140010982, 41130744, 41171335) and Beijing Municipal Education Commission Special (20130419)

摘要/Abstract

摘要： 地面沉降是指地面标高降低的一种缓变地质灾害现象，严重时对城市建设和人民生活会构成威胁。为评价地面沉降交通载荷程度，利用永久散射体干涉测量（PS-InSAR）技术提取北京东部地区沉降信息，利用数据场模型，以地铁站信息和道路节点信息为指标，采用因子贡献权重方法，获取北京地面沉降交通载荷程度分区图。研究结果表明：PS-InSAR方法可以获取区域地面沉降的空间分布趋势，研究区内最大沉降速率达到77.69 mm/a；地面沉降交通高载荷主要分布在北京市朝阳区北部与中部区域，而交通低载荷区域主要位于远离城市重要交通道路和地铁线路不发达乡镇。

关键词: 地面沉降, PS-InSAR, 数据场, 交通载荷程度评价

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

中图分类号:

P642.26

周超凡, 宫辉力, 陈蓓蓓, 贾煦, 朱锋, 郭琳. 利用数据场模型评价北京地面沉降交通载荷程度[J]. 吉林大学学报(地球科学版), 2017, 47(5): 1511-1520.

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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利用数据场模型评价北京地面沉降交通载荷程度

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

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