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Linkage of Co-seismic Failure Stress and Gravity Changes using Statistical Approach for the 2016 Mw7.8 Kaikoura earthquake, New Zealand

机译:利用2016 MW7.8 kaikoura地震,新西兰统计方法联系副地震衰竭应力和重力变化

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The objective of the paper is to establish a statistical relationship between Coulomb failure stress and gravity changes triggered by the 2016 Kaikoura Mw 7.8 earthquake, New Zealand. The changes were generated using PSGRN/PSCMP program at a layered gravitational half-space. The analysis assumed that the evolving stress level in the area is stable before the Kaikoura earthquake. The study area is extended over the main ruptures and surrounded regions in the South Island; the change patterns were estimated at six depths of 0 km, 5 km, 10 km, 15 km, 20 km and 25 km. Due to the stress and gravity models, the change patterns of the two models were numerically estimated and statistically analyzed using different methodologies viz.; Descriptive statistics, Regression, Correlation and ANOVA. These statistical methods were served at 95% confidence interval to expose the linkage between the two models under the umbrella of SPSS 23 program. The different results can be summarized as: (1) Descriptive analysis result revealed that the positive Coulomb stress change is ~17 MPa and located at 20 km depth, whereas the negative change (~59 MPa) observed at the depth of 10 km. Likewise, the maximum gravity change -7.67 mGal- was observed at 15 km and the minimum change value of 4.69 mGal occurred at 0 km depth, worth mentioning the epicenter located at ~15 km depth, i.e., the maximum gravity change happened near the epicenter and decreased away from the epicenter. (2) According to the regression model, if all variables are held constant, a unit change in the stress at 5 km depth is associated with 0.943 increase in the stress at 0 km. Also, we found that a unit change in gravity change associated with 0.930 increase in the gravity at 0 km. (3) The correlation results mostly showed positive strong correlations of stress or gravity models at adjacent depths and vice versa. (4) The final result from ANOVA method was obtained from two steps: the first, comparing the stress or gravity changes at different depths utilizing the omnibus F-test and post hoc results. The results demonstrate existing of significant difference in both stress and gravity models. Secondly, further analysis of the mean difference were done to provide specific group details. The research is a scientific basis for utilizing statistical analysis in this area, and it can be applied for similar research in other areas over the world.
机译:本文的目的是建立2016年kaikoura MW 7.8地震,新西兰触发的库仑衰竭应力和重力变化之间的统计关系。使用PSGRN / PSCMP程序在分层重力半空间中产生更改。该分析假设该地区的不断变化的应力水平在Kaikoura地震之前是稳定的。该研究区域在南岛的主要破裂和周围地区延伸;更改模式估计六个深度为0公里,5公里,10公里,15公里,20公里,25公里。由于应力和重力模型,使用不同的方法Viz进行了数值估计和统计分析了这两种模型的变化模式。描述性统计,回归,相关和Anova。这些统计方法以95%的置信区间供应,以暴露SPSS 23节目伞下的两种模型之间的联动。不同的结果可以概括为:(1)描述性分析结果显示,正水库应力变化为约17MPa,位于20公里深度,而在10公里的深度观察到的负变化(〜59MPa)。同样,在15km的15km中观察到最大重力变化-7.67 mgal-发生在0公里深度的4.69 mgal的最小变化值,值得一提到位于〜15公里深度的震中,即震中附近发生的最大重力变化从震中减少。 (2)根据回归模型,如果所有变量保持恒定,则在5公里深度的压力下的单元变化与0.943的压力增加0.943。此外,我们发现,与0.930增加的重力变化的单位变化在0公里处增加了重力。 (3)相关结果主要表现出相邻深度处的应力或重力模型的正强相关,反之亦然。 (4)ACOVA方法的最终结果是从两个步骤获得的:首先,利用综合F-TEST和HOC结果比较不同深度的应力或重力变化。结果表明,应力和重力模型的显着差异存在。其次,对平均差异进行进一步分析以提供特定的组细节。该研究是在该领域利用统计分析的科学依据,可以应用于世界其他地区的类似研究。

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