首页|高分辨率InSAR技术在北京大兴国际机场形变监测中的应用

高分辨率InSAR技术在北京大兴国际机场形变监测中的应用

扫码查看
北京大兴国际机场位于大兴榆垡—礼贤地区,是北京市五大区域地面沉降区之一,不均匀的形变会对机场的安全稳定运行产生影响。文章基于时间序列InSAR技术,利用 2019 年 9 月—2021 年 11 月间 39 景高分辨率COS-MO-SkyMed SAR影像,获取了北京大兴国际机场形变信息的时空特征,监测结果精度较高,与水准监测结果基本吻合。结果表明,北京大兴国际机场的沉降在 2019-2021 年持续发展,最大沉降速率为-47。5 mm/a,最大累积沉降量达到-103。84 mm,4 条跑道均存在不均匀沉降。进一步详细分析了跑道在时间、空间上的形变特征,以及航站楼、维修机坪、油罐区、公务机坪等其他形变较大区域的形变信息,并结合地基处理方式对影响沉降的驱动因素进一步分析。文章可为大兴机场的安全平稳运营提供参考。
Application of high-resolution InSAR technique in monitoring deformations in the Beijing Daxing International Airport
The Beijing Daxing International Airport,located in the Yufa—Lixian area of Daxing District,is one of Beijing's five major land subsidence areas.Differential deformations pose risks to the airport's safe and stable operation.By applying the time-series interferometric synthetic aperture Radar(InSAR)technique,this study obtained the spatio-temporal characteristics of the airport's deformations from 39 scenes of high-resolution COSMO-SkyMed(CSK)SAR images taken from September 2019 to November 2021.The monitoring results,with high accuracy,are roughly consistent with level monitoring results.Findings indicate that the airport's subsidence lasted from 2019 to 2021,with the highest subsidence rate measured at-47.5 mm/a and a maximum cumulative subsidence amount of-103.84 mm.Notably,all four runways exhibited varying degrees of differential subsidence.Furthermore,this study delved into the spatio-temporal characteristics of deformations in the runways,as well as deformations in other high-deformation zones such as terminal buildings,maintenance aprons,oil tank areas,and the business jet apron.By combining the foundation treatment,this study analyzed the factors influencing the airport's subsidence,providing a reference for the airport's safe and stable operation.

time-series InSARdeformation monitoringBeijing Daxing International AirportCOSMO-SkyMedinfluencing factor

赵霞、马新岩、余虔、王招冰

展开 >

民航机场规划设计研究总院有限公司,北京 100029

机场工程安全与长期性能交通运输行业野外科学观测基地,北京 100029

时序InSAR 形变监测 北京大兴国际机场 COSMO-SkyMed 影响因素

2024

自然资源遥感
中国国土资源航空物探遥感中心

自然资源遥感

CSTPCD北大核心
影响因子:1.275
ISSN:2097-034X
年,卷(期):2024.36(1)
  • 21