EGU26-4319, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-4319
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 10:45–12:30 (CEST), Display time Wednesday, 06 May, 08:30–12:30
 
Hall X2, X2.147
Enhancing the Success Rate of Paleointensity Measurements by Integrating Visible and Near‐Infrared Reflectance Spectroscopy and Rock Magnetism
Weijie Zhang1,2, Zhaoxia Jiang3, Xixi Zhao1, Zhong Zheng4, and Qingsong Liu*1
Weijie Zhang et al.
  • 1Southern University of Science and Technology, Shenzhen, China (wei-jie.zhang@qq.com)
  • 2Laoshan Laboratory, Qingdao, Shandong, China
  • 3Ocean University of China, Qingdao, China
  • 4Z‐Geology Lab, Saitama, Japan

Variations in the paleointensity of the Earth's magnetic field are intrinsically linked to the evolution of planetary interior dynamics and surface environmental conditions. However, the reliability of absolute paleointensity experiments is often compromised by the non-ideal magnetic behavior of multi-domain grains and alteration of magnetic minerals. To mitigate these challenges, besides conventional rock magnetic methods, this study also employs Visible and Near-Infrared Reflectance (VNIR) spectroscopy as a rapid screening tool to identify thermally unstable mineral phases that can distort experimental results. Systematic rock magnetic analyses reveal that samples with more pronounced single-domain-like magnetic properties achieve significantly higher success rates in paleointensity experiments. The implementation of VNIR-based screening increased the average success rate of analyzed samples by a factor of 1.9 compared to magnetic selection alone. We recommend using VNIR screening with Mrs/Ms ≥ 0.16 as the sample selection criterion, which can increase the success rate threefold while maintaining sufficient sample availability. By integrating VNIR spectroscopy with conventional rock magnetic methodologies, this study presents a robust approach to enhance the reliability and success rates of paleointensity determinations.

How to cite: Zhang, W., Jiang, Z., Zhao, X., Zheng, Z., and Liu*, Q.: Enhancing the Success Rate of Paleointensity Measurements by Integrating Visible and Near‐Infrared Reflectance Spectroscopy and Rock Magnetism, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4319, https://doi.org/10.5194/egusphere-egu26-4319, 2026.