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    全球海洋大地热流预测及其在洋中脊热异常研究中的应用

    Global prediction of oceanic geothermal heat flow and its application in the study of mid-ocean ridge thermal anomalies

    • 摘要: 海洋大地热流研究有助于理解海洋的热资源分布、区域热损失、热液循环及岩石圈热演化过程。传统的海洋板块冷却模型在预测年轻海洋地壳与古老海洋地壳的观测热流时存在偏差,且对洋中脊处的热异常或热液循环的区域性定量描述方面存在不足。文章通过广泛收集并整理与大地热流有关的地质与地球物理大数据,利用基于分形密度的幂律模型预测海洋大地热流趋势,根据相似性方法预测更高分辨率的全球大地热流分布特征。将预测热流与幂律模型相结合,可全面、定量地展示海洋异常热流区域范围。结果表明:相较于传统的板块冷却模型,幂律模型展现出独特的优势,能更好地拟合观测数据;预测热流与幂律模型差异中的低值区域可能代表了受洋中脊热液循环的影响,且异常热流区域显示出不同程度的各向异性,从而修正了前人“将传统板块冷却模型与观测值之间的差异解释为受热液循环影响”的观点。研究结果有助于更精确地描述海洋热流趋势,为大地热流预测与分析提供参考,为更加深入地理解海洋异常热流以及热液循环提供新思路。

       

      Abstract: Research on oceanic geothermal heat flow helps us understand distribution of marine thermal resources, regional heat loss, hydrothermal circulation, and thermal evolution of the lithosphere. Traditional oceanic plate cooling models show biases when predicting observed heat flow in both young and old oceanic crust, and also lack sufficient quantitative description on regional thermal anomalies or hydrothermal circulation near mid-ocean ridges. In this study, we collected and organized a large amount of geological and geophysical data related to geothermal heat flow, as used a power-law model based on fractal density to describe the general trend of oceanic heat flow. Then, we applied a similarity-based method to predict global heat flow at higher spatial resolution. By combining the predicted heat flow with the power-law model, we can more fully and quantitatively identify regions with anomalous oceanic heat flow. Our results show that the power-law model performs better than traditional plate cooling models and fits observed data more accurately. Areas where the predicted heat flow is lower than the power-law model may indicate the influence of hydrothermal circulation at mid-ocean ridges. Moreover, anomalous heat flow regions show varying degrees of anisotropy. These findings challenge previous interpretations that attributed discrepancies between traditional cooling models and observations solely to hydrothermal circulation. This study improves our ability to describe oceanic heat flow patterns more precisely. It provides a useful reference for future heat flow prediction and analysis, and offers new insights and support for a deeper understanding on anomalous oceanic heat flow and hydrothermal circulation.

       

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