Geoscience Letters最新文献

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Correction: Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping 更正:评估不同的机器学习模型和新的基于深度学习的滑坡易感性制图算法

3区地球科学 Q1 Earth and Planetary Sciences

Geoscience Letters

Pub Date : 2023-09-26 DOI: 10.1186/s40562-023-00296-5

Tingyu Zhang, Yanan Li, Tao Wang, Huanyuan Wang, Tianqing Chen, Zenghui Sun, Dan Luo, Chao Li, Ling Han

引用次数: 0

Structural analysis and susceptibility inversion based on ground magnetic data to map the chromite mineral resources: a case study of the Koh Safi Chromite Ore Deposit, Parwan, Afghanistan 基于地磁数据的铬铁矿资源结构分析和磁化率反演——以阿富汗Parwan Koh Safi铬铁矿为例

3区地球科学 Q1 Earth and Planetary Sciences

Geoscience Letters

Pub Date : 2023-09-22 DOI: 10.1186/s40562-023-00298-3

Mohammad Hakim Rezayee, Mahdi Khalaj, Hideki Mizunaga

Abstract The Koh Safi Chromite Ore Deposit is located in Afghanistan’s northern–northeastern end of the Kabul–Kandahar ophiolite zone. Sedimentary formations, delayed volcanic, and ultramafic rock groups, including peridotites and serpentinites, could all have been found in the Koh Safi area, where structural discontinuities with the two trends of northwest–southeast and east–west can be identified. High-grade serpentinite units have many chromite deposits, whereas peridotite has a lot of medium-grade deposits. This paper performs a ground magnetic data analysis based on structural analysis and 3-D susceptibility inversion. The boundaries of structural faults and anomalous bodies are likely delineated in a northwest-to-southeast orientation using a series of derivative maps, including Total Horizontal Derivative, Analytical Signal, and Theta Map. For inversion, many regularization norms that included the range of smooth, intermediate, and compact models were used to examine a particular susceptibility value that occurred in a model cell. The sparse and blocky norms [0,1,1,1] were suggested for our inversion in field data based on synthetic data to determine an appropriate norm. A 3-D inversion of ground magnetic data shows that the highly magnetic zone supposed to be the host rocks seems to be where chromite occurs in the study area.

Koh Safi铬铁矿矿床位于阿富汗喀布尔-坎大哈蛇绿岩带的东北北端。在Koh Safi地区可以发现沉积地层、延迟火山岩和超镁质岩群，包括橄榄岩和蛇纹岩，在该地区可以识别出西北-东南和东西两种走向的构造不连续。高品位蛇纹岩单元中有大量铬铁矿，而橄榄岩单元中有大量中品位铬铁矿。本文在结构分析和三维磁化率反演的基础上，对地磁资料进行了分析。利用Total Horizontal derivative、Analytical Signal和Theta Map等一系列导数图，构造断层和异常体的边界可能沿西北至东南方向圈定。对于反演，使用了许多正则化规范，包括平滑、中间和紧凑模型的范围，以检查模型单元中出现的特定敏感性值。在野外数据的综合反演中，我们建议使用稀疏范数和块状范数[0,1,1,1]来确定合适的范数。地磁资料的三维反演表明，研究区高磁区似乎是铁矿的赋存区。

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引用次数: 0

Sea surface temperature clustering and prediction in the Pacific Ocean based on isometric feature mapping analysis 基于等距特征映射分析的太平洋海表温度聚类与预测