Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis

Geoeffective solar events, especially the coronal mass ejection (CME) and the high-speed solar wind (HSSW) will induce geomagnetic storm upon its arrival to Earth. The solar events could trigger an earthquake occurred during the arrival. In this study, the focus is on the proxy of the geoeffecti...

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Main Authors: Nur Hidayah Ismail,, Nazhatulshima Ahmad,, Nur Anisah Mohamed,, Mohammad Redzuan Tahar,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/17187/1/25.pdf
http://journalarticle.ukm.my/17187/
https://www.ukm.my/jsm/malay_journals/jilid50bil4_2021/KandunganJilid50Bil4_2021.html
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spelling my-ukm.journal.171872021-07-26T03:22:18Z http://journalarticle.ukm.my/17187/ Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis Nur Hidayah Ismail, Nazhatulshima Ahmad, Nur Anisah Mohamed, Mohammad Redzuan Tahar, Geoeffective solar events, especially the coronal mass ejection (CME) and the high-speed solar wind (HSSW) will induce geomagnetic storm upon its arrival to Earth. The solar events could trigger an earthquake occurred during the arrival. In this study, the focus is on the proxy of the geoeffective solar events, which is the geomagnetic Ap index and the data of shallow worldwide earthquakes. The main objective was to investigate the impact of geomagnetic storms on the occurrences of earthquakes from 1994 to 2017 from a statistical perspective. The geomagnetic Ap index data was obtained from the Helmholtz-Centre Postdam - GFZ German Research Centre for Geosciences and the shallow worldwide earthquake data were from the United States Geological Survey (USGS) earthquake catalogue. The Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were used to analyse the data. Two groups were obtained from the PCA biplot: Group 1 - before the event (Day-4 to Day-1) and Group 2 - after the event group (Day 0 to Day+4). A two-cluster solution was obtained from the HCA, which shows that days before and after geostorm are divided into two main clusters. The statistical results show that earthquakes activity might have different behaviour before and after the geostorm occurred. In conclusion, the results emphasize that there are differences between days before and after the geostorm occurrence, hence, the solar influence upon earthquake occurrences cannot be neglected entirely. Penerbit Universiti Kebangsaan Malaysia 2021-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17187/1/25.pdf Nur Hidayah Ismail, and Nazhatulshima Ahmad, and Nur Anisah Mohamed, and Mohammad Redzuan Tahar, (2021) Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis. Sains Malaysiana, 50 (4). pp. 1157-1164. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil4_2021/KandunganJilid50Bil4_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Geoeffective solar events, especially the coronal mass ejection (CME) and the high-speed solar wind (HSSW) will induce geomagnetic storm upon its arrival to Earth. The solar events could trigger an earthquake occurred during the arrival. In this study, the focus is on the proxy of the geoeffective solar events, which is the geomagnetic Ap index and the data of shallow worldwide earthquakes. The main objective was to investigate the impact of geomagnetic storms on the occurrences of earthquakes from 1994 to 2017 from a statistical perspective. The geomagnetic Ap index data was obtained from the Helmholtz-Centre Postdam - GFZ German Research Centre for Geosciences and the shallow worldwide earthquake data were from the United States Geological Survey (USGS) earthquake catalogue. The Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were used to analyse the data. Two groups were obtained from the PCA biplot: Group 1 - before the event (Day-4 to Day-1) and Group 2 - after the event group (Day 0 to Day+4). A two-cluster solution was obtained from the HCA, which shows that days before and after geostorm are divided into two main clusters. The statistical results show that earthquakes activity might have different behaviour before and after the geostorm occurred. In conclusion, the results emphasize that there are differences between days before and after the geostorm occurrence, hence, the solar influence upon earthquake occurrences cannot be neglected entirely.
format Article
author Nur Hidayah Ismail,
Nazhatulshima Ahmad,
Nur Anisah Mohamed,
Mohammad Redzuan Tahar,
spellingShingle Nur Hidayah Ismail,
Nazhatulshima Ahmad,
Nur Anisah Mohamed,
Mohammad Redzuan Tahar,
Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
author_facet Nur Hidayah Ismail,
Nazhatulshima Ahmad,
Nur Anisah Mohamed,
Mohammad Redzuan Tahar,
author_sort Nur Hidayah Ismail,
title Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
title_short Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
title_full Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
title_fullStr Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
title_full_unstemmed Analysis of geomagnetic Ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
title_sort analysis of geomagnetic ap index on worldwide earthquake occurrence using the principal component analysis and hierarchical cluster analysis
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/17187/1/25.pdf
http://journalarticle.ukm.my/17187/
https://www.ukm.my/jsm/malay_journals/jilid50bil4_2021/KandunganJilid50Bil4_2021.html
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score 13.211869