College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China; Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China; Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
Sci Total Environ. 2021 Jan 1;750:142165. doi: 10.1016/j.scitotenv.2020.142165. Epub 2020 Sep 6.
Many of the world's largest deltas are sinking due to multiple natural and anthropogenic causes. This is particularly evident for the modern Yellow River Delta (YRD) in China, which is one of the most dynamic coastal systems on Earth. The YRD has experienced complicated patterns of accretion and erosion as well as significant compaction settlements. However, spatiotemporal variability and the long-term settlement rates law in this complex delta system remain poorly understood. Evidently, the surface settlement is supposedly controlled by a long-term natural compaction process of sediments. We first combined the Small Baseline Subset (SBAS) Interferometric Synthetic Aperture Radar (InSAR) method with a geotechnical model and geological, geomorphological, hydrogeological, and geotechnical data to assess the delta-wide long-term spatiotemporal settlement triggered by the consolidation and compaction of river sediments. The combination of satellite and field observations allows us to gain insights into the primary processes controlling surface movement. A total of seventy-five SAR images acquired by ERS and Envisat from 1992 to 2010 are used to generate three independent interferometric subsets calibrated with leveling to unveil spatiotemporal settlement variability. The densely distributed spatiotemporal measurements enable us to acquire the characteristics of the spatiotemporal variations of land movements. Moreover, the annual average settlement rates are observed within a range of 0 to >30 mm. Results suggest that the relative inland stability of the delta contrasts with the decreasing coastal margin trend at an average annual rate of 15 mm. Moreover, the variability is significantly correlated with the delta evolution and variations in subsoil architecture. A comparative analysis has also been conducted between time series InSAR measurements and the theoretical estimates of settlement derived from the geotechnical model. The strong agreement between the InSAR measurements and the geotechnical modeled results indicates that long-term settlement (in a decade-to-century scale) is primarily driven by the compaction of river sediments. The more the delta sub-lobe was newly formed, the more significant the settlement. Decreasing trends in annual settlement rates from approximately 70 mm to 0 mm in the long-term deposit compaction process are also identified. These findings are useful to understand the YRD morphological evolution and may provide insights into the changes in other deltas worldwide.
由于多种自然和人为原因,世界上许多最大的三角洲正在下沉。中国现代黄河三角洲(YRD)就是一个明显的例子,它是地球上最具活力的沿海系统之一。YRD 经历了复杂的堆积和侵蚀模式以及显著的压缩沉降。然而,这个复杂三角洲系统的时空变异性和长期沉降速率规律仍未得到很好的理解。显然,地表沉降应该受到沉积物长期自然压实过程的控制。我们首先将小基线集(SBAS)合成孔径雷达干涉(InSAR)方法与岩土工程模型以及地质、地貌、水文地质和岩土工程数据相结合,评估了由河流沉积物固结和压实引起的三角洲范围内长期时空沉降。卫星和现场观测的结合使我们能够深入了解控制地表运动的主要过程。我们使用了 1992 年至 2010 年期间 ERS 和 Envisat 卫星获取的 75 幅 SAR 图像,生成了三个独立的干涉子集,并用水准测量进行了校准,以揭示时空沉降的可变性。密集分布的时空测量使我们能够获取土地运动时空变化的特征。此外,观测到的年平均沉降速率在 0 到>30mm 之间。结果表明,三角洲内部的相对稳定性与每年以 15mm 的平均速率减小的海岸边缘趋势形成对比。此外,这种可变性与三角洲演化和次土壤结构的变化密切相关。我们还对 InSAR 时间序列测量和岩土工程模型得出的沉降理论估计之间进行了对比分析。InSAR 测量和岩土工程模型结果之间的强烈一致性表明,长期沉降(在十年到百年的时间尺度上)主要由河流沉积物的压实驱动。新形成的三角洲亚叶越多,沉降越显著。在长期沉积物压实过程中,年沉降速率从约 70mm 逐渐降低到 0mm。这些发现有助于了解 YRD 的形态演变,并可能为理解世界其他三角洲的变化提供参考。