融合时序InSAR与ESMD的高填方膨胀土机场隐患识别与形变监测

doi:10.13474/j.cnki.11-2246.2025.0307

测绘通报 ›› 2025, Vol. 0 ›› Issue (3): 39-45.doi: 10.13474/j.cnki.11-2246.2025.0307

• 学术研究 • 上一篇

融合时序InSAR与ESMD的高填方膨胀土机场隐患识别与形变监测

张双成^1,2,3, 李思洁子^1,2, 任志鹏^1,2, 司锦钊^1,2, 胡兴群⁴

1. 长安大学地质工程与测绘学院, 陕西西安 710054;
2. 民航机场智慧建造与维养重点实验室, 陕西西安 710064;
3. 自然资源部陕西西安地裂缝与地面沉降野外科学观测研究站, 陕西西安 710054;
4. 陕西佳维空间地理信息科技有限公司, 陕西安康 725000

收稿日期:2024-08-22 发布日期:2025-04-03
通讯作者: 李思洁子。E-mail:jiezi118@126.com
作者简介:张双成(1979—),男,博士,教授,主要从事卫星导航与遥感、地质灾害监测预警等方面的研究。E-mail:shuangcheng369@chd.edu.cn
基金资助:
国家自然科学基金(42074041);自然资源部陕西西安地裂缝与地面沉降野外科学观测研究站开放课题(2022-04)

Fusion of time-series InSAR and ESMD for potential hazard identification and deformation monitoring of high-fill expansive soil airports

ZHANG Shuangcheng^1,2,3, LI Sijiezi^1,2, REN Zhipeng^1,2, SI Jinzhao^1,2, HU Xingqun⁴

1. School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China;
2. The Key Laboratory of intelligent Construction and Maintenance of CAAC, Xi'an 710064, China;
3. Observation and Research Station of Ground Fissure and Land Subsidence, Ministry of Natural Resources, Xi'an 710054, China;
4. Shaanxi Jiawei Space Geographic Information Technology Co., Ltd., Ankang 725000, China

Received:2024-08-22 Published:2025-04-03

摘要/Abstract

摘要： 本文首先运用小基线集时序InSAR技术(SBAS-InSAR)识别安康膨胀土机场的形变隐患区,获取隐患区特征点的长时间序列;然后基于ESMD算法对形变时间序列进行分解,提取季节性物理信号,突出地表形变信号,获取时间序列季节性波段周期和形变异常发生的频率和时间;最后结合环境负载中的降水、温度因素对形变因素进行分析。研究结果表明:①机场地表形变主要发生在膨胀土填方区域,机场高填方边坡的形变尤为明显;②膨胀土形变受环境因素表现为季节性波动,且在夏季易发生不均匀沉降。研究结果提供了有关膨胀土易发生周期性形变机制的重要线索,并对监测膨胀土地质条件下的交通基础设施具有一定参考意义。

关键词: 膨胀土机场, 时序InSAR, ESMD算法, 隐患识别

Abstract: In this paper,the SBAS-InSAR technique is firstly applied to identify the deformation hazardous area of Ankang expanded soil airport,and obtain the long time series of the characteristic points of the hazardous area.Then,based on the ESMD algorithm,the deformation time series is decomposed,the seasonal physical signals are extracted,and the surface deformation signals are highlighted to obtain the seasonal band cycle of the time series and the frequency and time of the occurrence of the deformation anomalies.Finally,the deformation factors are analyzed in combination with the rainfall and temperature factors in the environmental loads. The results show that:①The deformation of the airport surface mainly occurs in the area of expansive soil fill,and the deformation of the high-fill slopes of the airport is especially obvious. ②The deformation of expansive soils is subject to seasonal fluctuations due to environmental factors and is prone to inhomogeneous settlement in summer. The results of this study provide important clues about the mechanism of cyclic deformation of expansive soils,and are useful for the monitoring of transportation infrastructures under expansive soil conditions.

Key words: expansive soil airports, time-series InSAR, ESMD algorithm, hidden hazard identification

中图分类号:

P237

张双成, 李思洁子, 任志鹏, 司锦钊, 胡兴群. 融合时序InSAR与ESMD的高填方膨胀土机场隐患识别与形变监测[J]. 测绘通报, 2025, 0(3): 39-45.

ZHANG Shuangcheng, LI Sijiezi, REN Zhipeng, SI Jinzhao, HU Xingqun. Fusion of time-series InSAR and ESMD for potential hazard identification and deformation monitoring of high-fill expansive soil airports[J]. Bulletin of Surveying and Mapping, 2025, 0(3): 39-45.

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融合时序InSAR与ESMD的高填方膨胀土机场隐患识别与形变监测

Fusion of time-series InSAR and ESMD for potential hazard identification and deformation monitoring of high-fill expansive soil airports

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