中国科学院地质与地球物理研究所郭正堂团队比较了年代地层方法在风成沉积测年中的应用。相关论文于2025年6月23日发表在《中国科学：地球科学》杂志上。

年代数据是古气候研究的基础。磁地层学方法提供的年龄限制可以通过轨道调谐来补充，以对沉积物建立更高分辨率的年龄控制。轨道调谐主要涉及统计和经典调谐。研究组回顾了这两种方法的原理和应用。他们将通过统计调整和经典调整的视觉调整获得的进化相关系数（eCOCO/COCO）应用于中国黄土高原上新世东湾剖面（10-30m）的红色（a*）值记录。然后，研究组比较了这两种方法构建的年龄模型。结果表明，由于当地因素（如微地形、植被变化和轻微侵蚀），陆地序列中的沉积速率（如风成沉积物）表现出显著的变化性。 

统计调谐的沉积速率可能与磁性地层学研究获得的沉积速率存在很大偏差。当地层中的进动信号较弱或不存在时，这些差异变得尤为明显。鉴于风成沉积物通常能够用高精度磁性地层学方法进行定年，视觉调谐可以更有效地减少沉积速率变化引起的年龄不确定性，从而产生更准确的天文时间尺度。然而，对于年龄控制点有限的层序，统计调谐是一种可行的替代方案，更适合沉积速率相对稳定的海洋和湖泊沉积物。

附：英文原文

Title: Application and comparison of chronostratigraphic methods for dating eolian deposits

Author: Chaoqin CHEN, Zhongshi ZHANG, Zhengtang GUO, Long CHEN, Ze ZHANG, Zijian ZHANG, Zhilin HE

Issue&Volume: 2025/06/23

Abstract: Chronological data underpin paleoclimate studies. Age constraints provided by magnetostratigraphic methods can be supplemented by orbital tuning to establish higher-resolution age controls on sediments. Orbital tuning primarily involves statistical and classical tuning. This paper reviews the principles and applications of these two methods. We applied the evolutionary correlation coefficient (eCOCO/COCO) obtained from statistical tuning, and visual tuning from classical tuning to the redness (a*) value record of the Pliocene Dongwan section (10–30m) on the Chinese Loess Plateau. We then compared the age models constructed from these two approaches. The results demonstrate that, due to local factors (e.g., micro-topography, vegetation change, and minor erosion), sedimentation rates in terrestrial sequences, such as eolian deposits, exhibit significant variability. Sedimentation rates from statistical tuning can deviate considerably from those obtained by magnetostratigraphic studies. These discrepancies become particularly pronounced when the precession signal in the strata is weak or absent. Given that eolian deposits are often able to be dated with high-precision magnetostratigraphic methods, visual tuning can more effectively reduce the age uncertainties caused by variations in the sedimentation rate, which yields a more accurate astronomical timescale. Nevertheless, statistical tuning is a viable alternative for sequences with limited age-control points and is better suited for marine and lacustrine deposits with relatively stable sedimentation rates.

DOI: 10.1007/s11430-025-1603-7

Source: https://www.sciengine.com/SCES/doi/10.1007/s11430-025-1603-7