EGU25-2408, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2408
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 01 May, 16:15–18:00 (CEST), Display time Thursday, 01 May, 14:00–18:00
 
Hall X4, X4.105
Palaeogeomorphic reconstruction of the South China Sea: coupling tectonics, climate, and ocean dynamics
Ze Liu1,2,3, Pengcheng Shu1,2,3, Pengcheng Wang1,2,3, Yanxi Li1,2,3, Syed Wajid Hanif Bukhari4, Lulu Zhang5, Ruibo Wang6, and Kaiyue Lu7
Ze Liu et al.
  • 1Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System, qingdao, China (liuze@ouc.edu.cn)
  • 2Key Lab of Submarine Geosciences and Prospecting Techniques, MOE, College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
  • 3Laboratory for Marine Mineral Resource, Qingdao Marine Science and Technology Center, Qingdao 266237, China
  • 45Centre of Excellence in Mineralogy, University of Balochistan, Quetta 87300, Pakistan
  • 5School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China
  • 6College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
  • 7Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China

Throughout its extensive history, Earth’s surface has undergone dramatic transformations, accompanied by significant changes in climate, environment, and resources. Paleogeomorphology is the result of the interaction between deep Earth tectonic processes and surface processes. The coupling process between active tectonics and geomorphological evolution such as earthquakes, volcanic activities, glacial and fluvial processes represents a key interface. Research on paleogeomorphology is closely related to the interactions between the deep and shallow layers of Earth’s interior and is a crucial component of multi-layered, multi-scale Earth system science. Therefore, the reconstruction of global paleogeography and paleogeomorphology during geological time has long been a focus of interest among geologists. The South China Sea, as a sensitive region to global climate and oceanic environmental changes, has experienced significant changes in its topography and geomorphology due to its complex geological structure and dynamic hydrological processes. This region has become a key subject of Earth system science research. The evolution of its three-dimensional geological environment is deeply influenced by tectonic activity, climatic fluctuations, and ocean dynamics, making its changes highly complex and uncertain, which traditional methods fail to resolve accurately. Therefore, it is essential to approach the reconstruction of the paleogeomorphological evolution of this multi-phase tectonic region from a quantitative perspective. In recent years, with the accumulation of Earth system data and the application of machine learning methods in complex system modeling, machine learning-based Earth system simulation has gradually emerged as a new frontier method, particularly in paleoelevation reconstruction. The application of this technology significantly enhances the precision and predictive capabilities of simulations for geological evolution and environmental changes in the South China Sea region. However, using Sr/Ca and Mg/Ca ratios in paleoelevation reconstruction has certain limitations, primarily due to interference from factors such as geological background and climate change, with weaker environmental responses in extreme environments such as arid or cold regions. To improve the accuracy of paleoelevation reconstructions, multiple geochemical indicators (such as δ¹⁸O, δD, and Δ₄₇) can be combined, and experimental calibration can be applied to separate the effects of climate and elevation, thereby optimizing existing models. By combining three-dimensional evolution models, it is possible to reconstruct the geomorphological evolution of the region, explore the tectonic factors of the South China Sea's opening and closure, the arc-continent collision that led to the Taiwan orogeny, and the impacts of surface factors such as paleoclimate and sea-level fluctuations on the northern South China Sea's hydrological systems, topography, and basin sedimentation. This further reveals the intrinsic mechanisms between the complex geological evolution of the South China Sea and oceanic dynamical processes.

How to cite: Liu, Z., Shu, P., Wang, P., Li, Y., Bukhari, S. W. H., Zhang, L., Wang, R., and Lu, K.: Palaeogeomorphic reconstruction of the South China Sea: coupling tectonics, climate, and ocean dynamics, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2408, https://doi.org/10.5194/egusphere-egu25-2408, 2025.