中国科学数据（中英文网络版）2025，Vol.10Issue(4)：83-93,11.DOI:10.11922/11-6035.csd.2025.0026.zh
黄河上游兴海盆地大地电磁测深数据集
A dataset of magnetotelluric sounding data from the Xinghai Basin in the upper reaches of the Yellow River
摘要
Abstract
The study investigates geothermal resource exploration in the Xinghai Basin of the Tibetan Plateau using the magnetotelluric(MT)sounding method.High-precision data acquisition combined with multi-dimensional inversion techniques was employed to characterize the deep electrical structure.This study employed the Aether full-band system from U.S.-based CG Company and LEMI-120 magnetic probes to establish a cross-shaped survey network,completing 106 physical survey points.Innovative techniques such as dynamic electrode spacing adjustment(50-300m),multi-electrode resistance reduction(grounding resistance<2000 Ω),and multi-configuration deployment were applied to effectively overcome challenges related to signal attenuation in high-resistance formations and external electromagnetic interference.As a result,high-quality MT data with large exploration depth,high precision,and strong continuity were obtained in the Xinghai Basin.The collected data are organized into multiple single-point data files,forming a comprehensive survey result for the entire Xinghai Basin area.Each single-point dataset includes complete header information and a data volume,supporting parameters such as impedance,tipper responses,and errors.Parallel testing of instruments and magnetic probes was conducted to control data quality.The calculated total root mean square errors of resistivity and phase demonstrate that the acquired data meet quality standards.The dataset supports secondary development and application with multiple algorithms,providing significant reference value for deep geothermal exploration in the Tibetan Plateau.关键词
兴海盆地/地质特征/大地电磁数据/黄河上游Key words
Xinghai Basin/geological characteristics/magnetotelluric data/the upper reaches of the Yellow River引用本文复制引用
张庆元,王斌,张飞,谭立渭,李磊,晁增成,李聪..黄河上游兴海盆地大地电磁测深数据集[J].中国科学数据（中英文网络版）,2025,10(4):83-93,11.基金项目
青海昆仑英才计划(2023QHSKXRCTJ30) Qinghai Kunlun Talent Plan(2023QHSKXRCTJ30) （2023QHSKXRCTJ30）
