Unveiling multimodal consolidation process of the newly reclaimed HKIA 3rd runway from satellite SAR interferometry, ICA analytics and Terzaghi consolidation theory

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-12-17 DOI:10.1016/j.rse.2024.114561
Zhuo Jiang, Guoqiang Shi, Songbo Wu, Xiaoli Ding, Chaoying Zhao, Man Sing Wong, Zhong Lu
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Abstract

The three-runway system expansion project of the Hong Kong International Airport (HKIA) began with the land reclamation to the north of its original runway. To facilitate quick stabilization, the Deep Cement Mixing (DCM) in this project was featured as the novel reclamation method firstly applied in Hong Kong. Understanding ground deformation and underground consolidation is crucial for subsequent soil improvement, civil construction, and future planning at the new platform. Synthetic Aperture Radar Interferometry (InSAR) is used to investigate the spatiotemporal characteristics of land deformation following the completion of the third runway pavement. A combined strategy of persistent scatterer (PS) and distributed scatterer (DS) interferometry was implemented to address low radar coherence at the site. The new reclamation is subject to varying degrees of land subsidence, with a maximum monitored sinking rate to be ∼150 mm/year during September 2021 and October 2023. Whereas the 3rd runway was urgently transformed to operation, spatial details of consolidation status of this new land were not yet evaluated. We applied the Independent Component Analysis (ICA) to identify the underlying sources leading to the measured deformation from InSAR. Three distinct sources have been unveiled, including an exponential decay signal (a quick compaction subsidence of surficial materials), a linear signal (a continuous subsiding from marine deposits) and a periodic signal (thermal effects correlated with buildings and bridges). Notably, the linear deformation component is mainly located in areas with prefabricated vertical drains (PVD), which is strongly correlating with the current monitored subsidence pattern. We incorporated the Terzaghi consolidation theory to further characterize InSAR displacement and estimate the subsidence decay property, consolidation time, ultimate primary settlement and consolidation degree at the 3rd runway, with unprecedented spatial details. Our results indicate the DCM method achieves geological stability more rapidly than the PVD method, with a time advantage of approximately 0.08–1.39 years. Meanwhile, DCM can effectively control the primary settlement to 29 % - 83 % of the PVD method. This research benefits our understanding of the consolidation process at the 3rd runway and offer reliable and detailed data of underground properties. This facilitates more accurate planning of follow-up reinforcement measures at specific locations if needed, which also serves as a valuable reference for future reclamation practices in Hong Kong, particularly using the DCM method.
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香港国际机场三跑道系统扩建工程首先在原有跑道北面进行填海造地。为了快速稳定土质,该项目中的深层水泥搅拌法(DCM)是香港首次采用的新型填海方法。了解地面变形和地下固结对后续的土壤改良、土木工程和新平台的未来规划至关重要。合成孔径雷达干涉测量法(InSAR)用于研究第三跑道铺设完成后土地变形的时空特征。为解决现场雷达相干性低的问题,采用了持续散射体(PS)和分布式散射体(DS)干涉测量相结合的策略。新填海区存在不同程度的地面沉降,在 2021 年 9 月至 2023 年 10 月期间,监测到的最大下沉速度为每年 150 毫米。虽然第三跑道急需改造投入使用,但尚未对这一新土地的空间固结状况进行详细评估。我们采用独立分量分析(ICA)来确定导致 InSAR 测量变形的基本来源。我们发现了三个不同的来源,包括指数衰减信号(表层材料的快速压实下沉)、线性信号(海洋沉积物的持续下沉)和周期信号(与建筑物和桥梁相关的热效应)。值得注意的是,线性形变部分主要位于预制垂直排水沟(PVD)区域,这与当前监测到的沉降模式密切相关。我们结合特尔扎吉固结理论进一步描述了 InSAR 位移的特征,并估算了第三跑道的沉降衰减特性、固结时间、最终一次沉降和固结程度,其空间细节前所未有。结果表明,DCM 方法比 PVD 方法更快实现地质稳定,时间优势约为 0.08-1.39 年。同时,DCM 可以有效地将一次沉降控制在 PVD 方法的 29% - 83%。这项研究有助于我们了解第三跑道的固结过程,并提供可靠、详细的地下属性数据。這有助我們在有需要時更準確地規劃特定地點的後續加固措施,對香港日後的填海工程,特別是採用 DCM 方法,提供寶貴的參考資料。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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