Lithospheric magnetic anomaly map of Indian subcontinent (LAMI-1) from Swarm satellite data

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Journal of Earth System Science Pub Date : 2024-09-09 DOI:10.1007/s12040-024-02393-1
Monica Rawat, S P Anand, Adel Fathy, A P Dimri, Shaik Kareemunnisa Begum
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Abstract

A preliminary lithospheric magnetic anomaly map of the Indian subcontinent (LAMI-1) was generated utilising seven years (April 2014–December 2020) of data recorded by the Swarm satellite constellation. To obtain a high-resolution lithospheric anomaly map, the fields originating from sources other than lithospheric sources are eliminated sequentially. The external field component is minimised by selecting the days of low geomagnetic activity (Kp < 2 and –20 < Dst < 20) within night-time hours. The main and the remaining external field sources are removed using data from CHAOS model. The model of residual data is achieved directly through the damped least square inversion technique by expanding the Legendre polynomial of order n = 6–50. The resulting satellite-derived lithospheric magnetic anomaly mostly reflects intermediate to long wavelength deep geological phenomena, with diverse tectonic provinces exhibiting discrete magnetic fingerprints/impressions with amplitudes ranging from high to low. Various tectonic blocks of the Indian subcontinent show distinct signature in the derived lithospheric anomaly map. The Himalayas and the Deccan Volcanic Province are associated with low magnetic signatures. The Central Indian Tectonic Zone and the Arakan Yoma Fold belt appear to have positive magnetisation. The division of Dhawar Craton into Western and Eastern Dharwar by Chitradurga Boundary shear is clearly evident in the anomaly map. A possible track of the Reunion hotspot is depicted as a north–south oriented high within the Marwar block. The comparison between the vertical (Z) component of LAMI-1 with the vertical component of MAGSAT data and MF7 lithospheric model from Champ satellite data indicates the LAMI-1 model shows far less noise and sharper anomalies with tectonic blocks better resolved compared to the other models.

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根据 Swarm 卫星数据绘制的印度次大陆岩石圈磁异常图 (LAMI-1)
利用 Swarm 卫星星座记录的七年(2014 年 4 月至 2020 年 12 月)数据生成了初步的印度次大陆岩石圈磁异常图(LAMI-1)。为获得高分辨率岩石圈异常图,依次消除了来自岩石圈以外来源的磁场。通过选择夜间低地磁活动日(Kp < 2 和 -20 < Dst < 20),将外部磁场成分降至最低。利用 CHAOS 模型的数据去除主要和剩余的外部磁场源。通过扩展 n = 6-50 阶的 Legendre 多项式,利用阻尼最小平方反演技术直接建立残余数据模型。由此得出的卫星推导岩石圈磁异常大多反映了中长波深层地质现象,不同的构造区呈现出振幅从高到低的离散磁指纹/印象。印度次大陆的各种构造区块在得出的岩石圈异常图中显示出明显的特征。喜马拉雅山脉和德干火山省与低磁场特征有关。印度中部构造带和阿拉干约马褶皱带似乎具有正磁化。从异常图中可以清楚地看出,达瓦尔克拉通被奇特拉都加边界剪切分为西达瓦尔和东达瓦尔。留尼汪热点的可能轨迹被描绘成马尔瓦地块内的南北向高地。LAMI-1 的垂直(Z)分量与 MAGSAT 数据的垂直分量以及 Champ 卫星数据的 MF7 岩石圈模型的比较表明,与其他模型相比,LAMI-1 模型显示的噪音更小,异常更清晰,构造块体更分明。
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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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