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

2021 ◽  
Vol 10 (7) ◽  
pp. 465
Author(s):  
Weifeng Shan ◽  
Zhihao Wang ◽  
Yuntian Teng ◽  
Maofa Wang

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.

2012 ◽  
Vol 13 (4) ◽  
pp. n/a-n/a ◽  
Author(s):  
Gareth G. Roberts ◽  
Jonathan D. Paul ◽  
Nicky White ◽  
Jeffrey Winterbourne

1999 ◽  
Vol 148 (1-6) ◽  
pp. 1-16 ◽  
Author(s):  
MASSIMO ASTARITA ◽  
FELICE E. CORCIONE ◽  
BIANCA MARIA VAGLIECO ◽  
GERARDO VALENTINO

Author(s):  
Minhua Ling ◽  
Hongbao Han ◽  
Xingling Wei ◽  
Cuimei Lv

Abstract The Huang-Huai-Hai Plain is an important commercial grain production base in China. Understanding the temporal and spatial variations in precipitation can help prevent drought and flood disasters and ensure food security. Based on the precipitation data for the Huang-Huai-Hai Plain from 1960 to 2019, this study analysed the spatiotemporal distribution of total precipitation at different time scales using the Mann–Kendall test, the wavelet analysis, the empirical orthogonal function (EOF), and the centre-of-gravity model. The results were as follows: (1) The winter precipitation showed a significant upward trend on the Huang-Huai-Hai Plain, while other seasonal trends were not significant. (2) The precipitation on the Huang-Huai-Hai Plain shows a zonal decreasing distribution from southeast to northwest. (3) The application of the EOF method revealed the temporal and spatial distribution characteristics of the precipitation field. The cumulative variance contribution rate of the first two eigenvectors reached 51.5%, revealing two typical distribution fields, namely a ‘global pattern’ and a ‘north-south pattern’. The ‘global pattern’ is the decisive mode, indicating that precipitation on the Huang-Huai-Hai Plain is affected by large-scale weather systems. (4) The annual precipitation barycentres on the Huang-Huai-Hai Plain were located in Jining city and Taian city, Shandong Province, and the spatial distribution pattern was north-south. The annual precipitation barycentres tended to move southwest, but the trend was not obvious. The annual precipitation barycentre is expected to continue to shift to the north in 2020.


PLoS ONE ◽  
2011 ◽  
Vol 6 (9) ◽  
pp. e25278 ◽  
Author(s):  
Wei Gao ◽  
John H. Gilmore ◽  
Kelly S. Giovanello ◽  
Jeffery Keith Smith ◽  
Dinggang Shen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document