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基于 EMAG2 的居里点深度全球参考模型。

A global reference model of Curie-point depths based on EMAG2.

机构信息

Institute of Marine Geology and Resources, Ocean College, Zhejiang University, Zhoushan 316021, China.

Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.

出版信息

Sci Rep. 2017 Mar 21;7:45129. doi: 10.1038/srep45129.

DOI:10.1038/srep45129
PMID:28322332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5359667/
Abstract

In this paper, we use a robust inversion algorithm, which we have tested in many regional studies, to obtain the first global model of Curie-point depth (GCDM) from magnetic anomaly inversion based on fractal magnetization. Statistically, the oceanic Curie depth mean is smaller than the continental one, but continental Curie depths are almost bimodal, showing shallow Curie points in some old cratons. Oceanic Curie depths show modifications by hydrothermal circulations in young oceanic lithosphere and thermal perturbations in old oceanic lithosphere. Oceanic Curie depths also show strong dependence on the spreading rate along active spreading centers. Curie depths and heat flow are correlated, following optimal theoretical curves of average thermal conductivities K = ~2.0 W(m°C) for the ocean and K = ~2.5 W(m°C) for the continent. The calculated heat flow from Curie depths and large-interval gridding of measured heat flow all indicate that the global heat flow average is about 70.0 mW/m, leading to a global heat loss ranging from ~34.6 to 36.6 TW.

摘要

本文使用一种稳健的反演算法,该算法已在多项区域研究中进行了测试,从基于分形磁化的磁异常反演中获得了首个全球居里点深度模型(GCDM)。从统计学上看,海洋的居里深度平均值小于大陆的居里深度平均值,但大陆的居里深度几乎呈双峰分布,在一些古老克拉通中显示出浅层居里点。海洋的居里深度受年轻洋壳内热液循环和老洋壳热干扰的影响。海洋的居里深度也与热流呈强相关,遵循平均热导率 K=2.0 W(m°C)的海洋最优理论曲线和 K=2.5 W(m°C)的大陆最优理论曲线。由居里深度和大间隔网格化实测热流计算得出的热流均表明,全球热流平均值约为 70.0 mW/m,导致全球热损失范围在~34.6 到 36.6 TW 之间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/e0fe128a2139/srep45129-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/4cb5e613e411/srep45129-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/4ca0052e5a31/srep45129-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/295980bc4a96/srep45129-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/6ae9d001a651/srep45129-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/367c47987176/srep45129-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/53d46ffa2b8f/srep45129-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/e0fe128a2139/srep45129-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/4cb5e613e411/srep45129-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/4ca0052e5a31/srep45129-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/295980bc4a96/srep45129-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/6ae9d001a651/srep45129-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/367c47987176/srep45129-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/53d46ffa2b8f/srep45129-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c8/5359667/e0fe128a2139/srep45129-f7.jpg

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Reestimation of slab dehydration fronts in Kuril-Kamchatka using updated global subduction zone thermal structures.利用更新后的全球俯冲带热结构重新估算千岛-堪察加地区板块脱水前沿。
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