THE MODELLING OF EARTHQUAKE MAGNITUDE IN THE SOUTHERN PART OF JAVA']JAVA ISLAND USING GEOGRAPHICALLY WEIGHTED REGRESSION

被引:1
|
作者
Sediono [1 ]
Mardianto, M. Fariz Fadillah [1 ]
Ulyah, Siti Maghfirotul [1 ]
Pangestu, Alvito Aryo [1 ]
Susanti, Rita [1 ]
Firdaus, Haydar Arsy [1 ]
Andreas, Christopher [1 ]
机构
[1] Univ Airlangga, Fac Sci & Technol, Stat Study Program, Surabaya, Indonesia
关键词
sustainable cities; earthquake; magnitude; depth; geographically weighted regression; SEISMICITY; PREDICTION;
D O I
10.28919/cmbn/6753
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the aspect of the Sustainable Development Goals (SDGs) is to build the sustainable cities and communities, making cities inclusive, safe, strong and sustainable. One form of sustainable development, that is a good city, apart from a green city, is development that is alert and responsive to disasters. Earthquakes are one of the natural disasters that often occur in Indonesia and cause many casualties. The purpose of this study is to obtain an overview of the earthquake magnitude and the factors that influence it in the southern part of Java Island using Geographically Weighted Regression (GWR). The data used is earthquake magnitude and depth which obtained from the Indonesian Meteorology, Climatology and Geophysics Agency (BMKG) website. The data is the earthquake that occurred in the southern part of Java Island in 2019-2021. The modelling of earthquake magnitude in southern Java Island using GWR based on the best weighted of Adaptive Bisquare Kernel produced a R-2 value of 98.96% and an MSE of 0.002 and an optimal bandwidth of 4. The results of this analysis can be used as a reference in making disaster mitigation solutions and in determining the location of airports and ports in an area.
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页数:10
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