Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics

Studying the temporal and spatial evolution trends in earthquakes in an area is beneficial for determining the earthquake risk of the area so that local governments can make the correct decisions for disaster prevention and reduction. In this paper, we propose a new method for analyzing the temporal...

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Main Authors: Weifeng Shan, Zhihao Wang, Yuntian Teng, Maofa Wang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/7/465
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author Weifeng Shan
Zhihao Wang
Yuntian Teng
Maofa Wang
author_facet Weifeng Shan
Zhihao Wang
Yuntian Teng
Maofa Wang
author_sort Weifeng Shan
collection DOAJ
description Studying the temporal and spatial evolution trends in earthquakes in an area is beneficial for determining the earthquake risk of the area so that local governments can make the correct decisions for disaster prevention and reduction. In this paper, we propose a new method for analyzing the temporal and spatial evolution trends in earthquakes based on earthquakes of magnitude 3.0 or above from 1980 to 2019 in California and Nevada. The experiment’s results show that (1) the frequency of earthquake events of magnitude 4.5 or above present a relatively regular change trend of decreasing–rising in this area; (2) by using the weighted average center method to analyze the spatial concentration of earthquake events of magnitude 3.0 or above in this region, we find that the weighted average center of the earthquake events in this area shows a conch-type movement law, where it moves closer to the center from all sides; (3) the direction of the spatial distribution of earthquake events in this area shows a NW–SE pattern when the standard deviational ellipse (SDE) method is used, which is basically consistent with the direction of the San Andreas Fault Zone across the north and south of California; and (4) the spatial distribution pattern of the earthquake events in this region is found to be clustered using the global spatial autocorrelation analysis method. This study provides a new perspective for the exploration of the temporal and spatial evolution trends in earthquakes and understanding the earthquake risk in an area.
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spelling doaj.art-4bb13eafdc2c47b79bbbce1370114c842023-11-22T03:54:56ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-07-0110746510.3390/ijgi10070465Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial StatisticsWeifeng Shan0Zhihao Wang1Yuntian Teng2Maofa Wang3Institute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaSchool of Emergency Management, Institute of Disaster Prevention, Langfang 065201, ChinaInstitute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaSchool of Computer and Information Security, Guilin University of Electronic Science and Technology, Guilin 541004, ChinaStudying the temporal and spatial evolution trends in earthquakes in an area is beneficial for determining the earthquake risk of the area so that local governments can make the correct decisions for disaster prevention and reduction. In this paper, we propose a new method for analyzing the temporal and spatial evolution trends in earthquakes based on earthquakes of magnitude 3.0 or above from 1980 to 2019 in California and Nevada. The experiment’s results show that (1) the frequency of earthquake events of magnitude 4.5 or above present a relatively regular change trend of decreasing–rising in this area; (2) by using the weighted average center method to analyze the spatial concentration of earthquake events of magnitude 3.0 or above in this region, we find that the weighted average center of the earthquake events in this area shows a conch-type movement law, where it moves closer to the center from all sides; (3) the direction of the spatial distribution of earthquake events in this area shows a NW–SE pattern when the standard deviational ellipse (SDE) method is used, which is basically consistent with the direction of the San Andreas Fault Zone across the north and south of California; and (4) the spatial distribution pattern of the earthquake events in this region is found to be clustered using the global spatial autocorrelation analysis method. This study provides a new perspective for the exploration of the temporal and spatial evolution trends in earthquakes and understanding the earthquake risk in an area.https://www.mdpi.com/2220-9964/10/7/465spatial statisticstemporal and spatial evolutionweighted average centerstandard deviational ellipseglobal spatial autocorrelation analysisearthquake risk
spellingShingle Weifeng Shan
Zhihao Wang
Yuntian Teng
Maofa Wang
Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
ISPRS International Journal of Geo-Information
spatial statistics
temporal and spatial evolution
weighted average center
standard deviational ellipse
global spatial autocorrelation analysis
earthquake risk
title Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
title_full Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
title_fullStr Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
title_full_unstemmed Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
title_short Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics
title_sort temporal and spatial evolution analysis of earthquake events in california and nevada based on spatial statistics
topic spatial statistics
temporal and spatial evolution
weighted average center
standard deviational ellipse
global spatial autocorrelation analysis
earthquake risk
url https://www.mdpi.com/2220-9964/10/7/465
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AT yuntianteng temporalandspatialevolutionanalysisofearthquakeeventsincaliforniaandnevadabasedonspatialstatistics
AT maofawang temporalandspatialevolutionanalysisofearthquakeeventsincaliforniaandnevadabasedonspatialstatistics