基于QGIS和USGS数据集的ciacap地震带地震时间序列可视化

Ninik Agustin, Nani Kurniasih, Mochamad Taufiqurrochman Abdul Aziz Zein
{"title":"基于QGIS和USGS数据集的ciacap地震带地震时间序列可视化","authors":"Ninik Agustin, Nani Kurniasih, Mochamad Taufiqurrochman Abdul Aziz Zein","doi":"10.37373/tekno.v10i2.463","DOIUrl":null,"url":null,"abstract":"Cilacap region earthquakes often occur with more than 5 Richter Scale. With these seismic conditions, earthquake studies in the Cilacap region will always be needed. These studies usually only have output in form of map visualization spatially, however, they have not been compiled in a time series. This study attempts to include visualization of spatial data in the form of a time-series. The data visualization was presented in form of graphs and maps. Graphical visualization using line bar graph type by applying descriptive statistics tries to determine the earthquake’s magnitude fluctuation. The other visualization in form of Heatmap map analysis applying the Kernel Density method is interpolated earthquake magnitude spatial data. The data used in this research was retrieved from the USGS datasets between 1918 to 2021. The spatial boundaries were taken from -7.324 ˚S, 107.941˚E to -10.407˚S, 111.116˚E. The results of spatial data visualization using the heatmap techniques were then analyzed temporally using the Temporal function in the QGIS software. The results of temporal analysis within a year are then sequenced into a video which is displayed on the following link https://youtu.be/m3B7HkfI8qY. The descriptive statistical analysis shows that Earthquakes have magnitudes ranging from 3.3 to 7.58 with a mean of 4.58 and a mode of 4.4. Heatmap analysis shows the results of earthquake magnitude interpolation with high density, located in the south of Cilacap and south of Yogyakarta. Also, the spatiotemporal analysis results show that there is a change in location trends that have high earthquake magnitude density values","PeriodicalId":30843,"journal":{"name":"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Earthquakes time series visualization in cilacap earthquake zone using QGIS and USGS data sets\",\"authors\":\"Ninik Agustin, Nani Kurniasih, Mochamad Taufiqurrochman Abdul Aziz Zein\",\"doi\":\"10.37373/tekno.v10i2.463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cilacap region earthquakes often occur with more than 5 Richter Scale. With these seismic conditions, earthquake studies in the Cilacap region will always be needed. These studies usually only have output in form of map visualization spatially, however, they have not been compiled in a time series. This study attempts to include visualization of spatial data in the form of a time-series. The data visualization was presented in form of graphs and maps. Graphical visualization using line bar graph type by applying descriptive statistics tries to determine the earthquake’s magnitude fluctuation. The other visualization in form of Heatmap map analysis applying the Kernel Density method is interpolated earthquake magnitude spatial data. The data used in this research was retrieved from the USGS datasets between 1918 to 2021. The spatial boundaries were taken from -7.324 ˚S, 107.941˚E to -10.407˚S, 111.116˚E. The results of spatial data visualization using the heatmap techniques were then analyzed temporally using the Temporal function in the QGIS software. The results of temporal analysis within a year are then sequenced into a video which is displayed on the following link https://youtu.be/m3B7HkfI8qY. The descriptive statistical analysis shows that Earthquakes have magnitudes ranging from 3.3 to 7.58 with a mean of 4.58 and a mode of 4.4. Heatmap analysis shows the results of earthquake magnitude interpolation with high density, located in the south of Cilacap and south of Yogyakarta. Also, the spatiotemporal analysis results show that there is a change in location trends that have high earthquake magnitude density values\",\"PeriodicalId\":30843,\"journal\":{\"name\":\"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37373/tekno.v10i2.463\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknosains Jurnal Ilmiah Sains dan Teknologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37373/tekno.v10i2.463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

西拉盖地区经常发生里氏5级以上的地震。在这些地震条件下,将永远需要在Cilacap地区进行地震研究。这些研究通常只在空间上以地图可视化的形式输出,但没有按时间序列汇编。本研究试图以时间序列的形式包括空间数据的可视化。数据可视化以图形和地图的形式呈现。图形可视化采用线形图类型,通过应用描述性统计试图确定地震的震级波动。另一种采用核密度法的热图分析可视化方法是插值地震震级空间数据。本研究中使用的数据来自美国地质调查局1918年至2021年的数据集。空间边界在-7.324˚S, 107.941˚E至-10.407˚S, 111.116˚E范围内。利用热图技术进行空间数据可视化的结果,然后利用QGIS软件中的时间函数进行时间分析。一年内的时间分析结果被整理成视频,显示在以下链接https://youtu.be/m3B7HkfI8qY上。描述性统计分析表明,地震震级在3.3 ~ 7.58级之间,平均为4.58级,模态为4.4级。热图分析显示了高密度地震震级插值的结果,位于Cilacap南部和日惹南部。同时,时空分析结果表明,地震震级密度高的区域存在位置变化趋势
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Earthquakes time series visualization in cilacap earthquake zone using QGIS and USGS data sets
Cilacap region earthquakes often occur with more than 5 Richter Scale. With these seismic conditions, earthquake studies in the Cilacap region will always be needed. These studies usually only have output in form of map visualization spatially, however, they have not been compiled in a time series. This study attempts to include visualization of spatial data in the form of a time-series. The data visualization was presented in form of graphs and maps. Graphical visualization using line bar graph type by applying descriptive statistics tries to determine the earthquake’s magnitude fluctuation. The other visualization in form of Heatmap map analysis applying the Kernel Density method is interpolated earthquake magnitude spatial data. The data used in this research was retrieved from the USGS datasets between 1918 to 2021. The spatial boundaries were taken from -7.324 ˚S, 107.941˚E to -10.407˚S, 111.116˚E. The results of spatial data visualization using the heatmap techniques were then analyzed temporally using the Temporal function in the QGIS software. The results of temporal analysis within a year are then sequenced into a video which is displayed on the following link https://youtu.be/m3B7HkfI8qY. The descriptive statistical analysis shows that Earthquakes have magnitudes ranging from 3.3 to 7.58 with a mean of 4.58 and a mode of 4.4. Heatmap analysis shows the results of earthquake magnitude interpolation with high density, located in the south of Cilacap and south of Yogyakarta. Also, the spatiotemporal analysis results show that there is a change in location trends that have high earthquake magnitude density values
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
9
审稿时长
16 weeks
期刊最新文献
Peranan Site Manager Terhadap Kinerja Pelaksanaan Proyek Konstruksi Gedung Di Kabupaten Bireuen Analisis kegagalan rintisan usaha pasca pelatihan dalam program PKW bidang barista 2021 oleh PKBM Annisa menggunakan metode failure mode and effect analysis Eksistensi fitoplankton di kolong pascatambang timah dengan umur berbeda Pemodelan 2D sistem akuifer menggunakan metode geolistrik di Desa Lembangloe Kecamatan Biringbulu Kabupaten Gowa Analisis kesesuaian mutu air pada muara kanal Panampu Kota Makassar
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1