Spatial Autocorrelation of Earthquake Magnitudes in Tripa Fault, Aceh Province, Indonesia

Abstract

The position of Aceh coincides with the fault zone along the Bukit Barisan called Sumatran Fault. The Tripa Fault is marked by the mountainous area and the trajectory of the Kuala Tripa and Meureubo Rivers along 180 km. Tripa faults are categorized as active faults indicated by the occurrence of several destructive earthquakes in the region. One effort that can be done to reduce the negative impacts caused by the earthquake disaster is to make predictions by mapping the occurrence of earthquakes. The purpose of this study was to determine the relationship between the incidence of earthquakes in the Tripa Fault region of Aceh Province. The data used in this study are earthquake occurrence parameters in the Tripa Fault region from 1990-2017. The results obtained show that there is a global spatial autocorrelation between the magnitude of the occurrence of earthquakes in the region around the Tripa Fault in Aceh Province with several magnitudes of earthquake events having local spatial autocorrelation.

Applying Geostatistics to Understand Seismic Activity Patterns in the Northern Red Sea Boundary Zone

“…To identify statistically significant patterns in seismic activity data, a series of analyses employing four distinct techniques was conducted. These methods have been effectively utilized in numerous studies across the globe, including Romania [29], Indonesia [30], the Red Sea [14], China [31], and Pakistan [32]. It has consistently yielded valuable insights into areas of heightened seismic activity, spatial configurations of earthquake events, and the spatiotemporal dynamics, mechanisms, and characteristics of seismic activity [33].…”

“…Spatial autocorrelation is an important index to express the spatial behavior of geographical elements, reflecting the interdependence between some elements in the study area [30]. The global indicators of spatial association, such as Global Moran's I, and the Local Indicators of Spatial Association (Local Moran's I, also known as LISA), are frequently employed to quantify spatial autocorrelation [33].…”

Advances in Geodesy and Geoinformation

“…In the proposed approach in this study, it is stated that the ROC-based Gini coefficient is an effective and efficient tool to measure the degree of aggregated space-time clustering. Spatial patterns of earthquakes magnitudes that occurred around the Tripa Fault in Aceh province between 1990-2017 were investigated by Sofyan et al (2019). As a result of this research, it was concluded that there is a relationship between the earthquake magnitudes globally in the Tripa fault region (Sofyan et al, 2019).…”

“…Spatial patterns of earthquakes magnitudes that occurred around the Tripa Fault in Aceh province between 1990-2017 were investigated by Sofyan et al (2019). As a result of this research, it was concluded that there is a relationship between the earthquake magnitudes globally in the Tripa fault region (Sofyan et al, 2019).…”