scholarly journals PERBANDINGAN NILAI PERCEPATAN TANAH MAKSIMUM BERDASARKAN MODIFIKASI KONSTANTA ATENUASI DAN DATA ACCELEROGRAPH TAHUN 2008-2016 PADA STASIUN BMKG LAMPUNG

2020 ◽  
Vol 4 (2) ◽  
pp. 77-85
Author(s):  
Pipit Melinda Meitawati ◽  
Bagus Sapto Mulyatno ◽  
Karyanto Karyanto ◽  
Agung Setiadi

Peak ground acceleration is one of the parameters used in estimating the extent of breakdown caused by earthquake shocks. In the present study, the determination of an attenuation empirical formula PGA (Peak Ground Acceleration) based on the attenuation equation Lin and Wu (2010). Data used in the study of seismic event data by period year 2008-2012. Through the calculation of regression analysis, then obtained the function attenuation of peak ground acceleration in Lampung region at each station accelerograph.At the LWLI accelerograph station obtained the value of the empirical coefficient of the distance of earthquake -2.351, the empirical coefficient of earthquake magnitude 0,574, and the constant 2,430. At the KASI accelerograph station obtained the value of the empirical coefficient of the distance of earthquake -2.522, the empirical coefficient of earthquake magnitude 0.654, and the constant 2.182. At the BLSI accelerograph station obtained the value of the empirical coefficient from the distance of earthquake -3.224, the empirical coefficient of earthquake magnitude 0.651, and constant 4,092. At the KLI accelerograph station obtained the value of the empirical coefficient from the distance of earthquake -2.746, the empirical coefficient of earthquake magnitude 0.751, and the constant 2.053.Result of correlation test verification, chart relation between distance and magnitude earthquakes, ratio PGA contour maps, as well as a ratio between the value of PGA models with the observation of accelerograph year 2013-2016 show that the acceleration attenuation function of the obtained soil is relatively good. Based on PGA attenuation contour map model at an event the earthquake on 28th May 2011, PGA great value be found in the Liwa region with a PGA score of 10-20 gal and its seismic intensity value is V-VI MMI. It happens because of the source the earthquake is in the western sea of Liwa.

Author(s):  
G. Etirmishli ◽  
R. Abdullaeva ◽  
S. Ismailova ◽  
S. Kazimova

In 2015, the network of Azerbaijan seismic stations included 35 digital stations, which continued to operate unchanged. The set of parameters determined for estimating the earthquake magnitude has decreased – determination of the MPVA magnitude and КР energy class has ceased. Only the local magnitude MLАзр was measured. The total number of earthquakes recorded by the Azerbaijan network of stations in 2015 amounted to 6419, however, only 128 of them with MLАзр3.0 are given in the catalogue of earthquakes of Azerbaijan published in the Appendix to this article. Seismic activity in the study area remained unchanged. The released seismic energy changed insignificantly compared to its value in 2014 and was close to the background level for the period 1993–2014. The increase in the number of earthquakes of the representative level (K≥8.6, MLАзр≥2.8) in comparison with the long-term average annual value is due to aftershocks of earthquakes on January 26 with MLАзр=4.9, June 3 with MLАзр=4.6, and September 4 with MLАзр=5.9. The 2015 most significant seismic event on the territory of the Republic was the earthquake on September 4 with MLАзр=5.9 and seismic intensity at the epicenter of I0=7.


Author(s):  
Ellen M. Smith ◽  
Walter D. Mooney

Abstract We conducted a seismic intensity survey in Ecuador, following the 16 April 2016 Mw 7.8 Pedernales earthquake, to document the level of damage caused by the earthquake. Our modified Mercalli intensities (MMIs) reach a maximum value of VIII along the coast, where single, two, and multistory masonry and concrete designed buildings partially or completely collapsed. The contours of our MMI maps are similar in shape to the contour maps of peak ground acceleration (PGA) and peak ground velocity (PGV). A comparison of our seismic intensities with the recorded PGA and PGV values reveals that our MMI values are lower than predicted by ground-motion intensity conversion equations that are based on shallow crustal earthquakes. The image of the earthquake rupture obtained using teleseismic backprojection at 0.5–2.0 Hz is coincident with the region of maximum MMI, PGA, and PGV values, Thus, rapid calculation of backprojection may be a useful tool for guiding the deployment of emergency response teams following large earthquakes. The most severe damage observed was, primarily, due to a combination of poorly constructed buildings and site conditions.


2012 ◽  
Vol 226-228 ◽  
pp. 2235-2239
Author(s):  
Ming Zhang ◽  
Yu Zhang ◽  
Guang Chun Zhou

This paper invesigates the peak ground acceleration (PGA) and peak ground velocity (PGV) regression equations as well as the PGA or PGV middle values in Chinese seismic intensity scale 2008 (the CSIS 2008), using the Wenchuan earthquake records of China with the full seismic information. Based on the analytical results, the PGA-V method is proposed to assess the instrumental intensity which combines both PGA and PGV. Besides, a problem is raised to further verify and modify the middle values of PGA or PGV for the seismic intensity VI and VII in the CSIS 2008.


Author(s):  
Ellen M. Rathje ◽  
Gokhan Saygili

The evaluation of earthquake-induced landslides in natural slopes is often based on an estimate of the permanent sliding displacement due to earthquake shaking. Current procedures for estimating sliding displacement do not rigorously account for the significant uncertainties present in the analysis. This paper presents a probabilistic framework for computing the annual rate of exceedance of different levels of displacement such that a hazard curve for sliding displacement can be developed. The analysis incorporates the uncertainties in the prediction of earthquake ground shaking, in the prediction of sliding displacement, and in the assessment of soil properties. Predictive models for sliding displacement that are appropriate for the probabilistic framework are presented. These models include a scalar model that predicts sliding displacement in terms of a single ground motion parameter (peak ground acceleration) and the earthquake magnitude, as well as a vector model that incorporates two ground motion parameters (peak ground acceleration and peak ground velocity). The addition of a second ground motion parameter results in a significant reduction in the standard deviation of the sliding displacement prediction. Comparisons are made between displacement hazard curves developed from the current scalar and vector models and previously developed scalar models that do not include earthquake magnitude. Additionally, an approximation to the vector hazard assessment is presented and compared with the rigorous vector approach. Finally, the inclusion of the soil property uncertainty is shown to increase the mean hazard at a site.


2010 ◽  
Vol 10 (1) ◽  
pp. 51-59 ◽  
Author(s):  
G-A. Tselentis ◽  
L. Danciu

Abstract. The present third part of the study, concerning the evaluation of earthquake hazard in Greece in terms of various ground motion parameters, deals with the deaggregation of the obtained results The seismic hazard maps presented for peak ground acceleration and spectral acceleration at 0.2 s and 1.0 s, with 10% probability of exceedance in 50 years, were deaggregated in order to quantify the dominant scenario. There are three basic components of each dominant scenario: earthquake magnitude (M), source-to-site distance (R) and epsilon (ε). We present deaggregation maps of mean and mode values of M-R-ε triplet showing the contribution to hazard over a dense grid.


1985 ◽  
Vol 65 (1) ◽  
pp. 123-131
Author(s):  
G. WILSON

Slope is an important factor in terrain mapping and can be determined from contour maps or aerial photographs. Previously methods have been proposed to reduce the time element using contour maps. This paper describes and demonstrates a technique whereby aerial photographs can be used effectively when photogrammetric equipment and reliable contour maps are not available. Accuracy with the method is illustrated by comparison to slope determined from a contour map and a single computation sheet is provided for inclusion in a handbook or field guide. Key words: Slope measurement, terrain analysis, pedotechnical interpretations, aerial photos, photo interpretation, photogrammetry


2018 ◽  
Vol 19 (1) ◽  
pp. 23
Author(s):  
Dwi Karyadi Priyanto ◽  
K.N. Suarbawa ◽  
Ardhianto Septiadhi

In this research, we have determined the model of empirical formula of Peak Ground Acceleration (PGA) based on general formula of Lin and Wu using 62 observational PGA data which corresponds to earthquake parameter data of Bali and its surroundings for year 2008-2013. Based on the regression analysis, the geometrical spreading coefficient is a = -2.019, the magnitude coefficient b = 0.894, the empirical model formula constant c = 0.551, and the empirical model of PGA model for Denpasar is. The results of statistical verification yielded a strong positive linear correlation of 0.853 with the residual error of 0.035.


2021 ◽  
Vol 921 (1) ◽  
pp. 012061
Author(s):  
R Amaliah ◽  
T Harianto ◽  
A B Muhiddin

Abstract An earthquake can inflict a liquefaction hazards which can damage buildings and infrastructure. Furthermore, earthquakes are difficult to predict when and where earthquakes will occur and happen suddenly without being preceded by signs. Therefore, we must do a geological investigation before building a construction to evaluate the potential liquefaction in that area. Evaluation of the potential liquefaction using Cone Penetration Test (CPT) is one method can be used because repeatable, provided a continuous profile, and economic. This method needs peak ground acceleration (amax) value at an interval of 0.1 g to 0.6 g and earthquake magnitude of 6.2 scale richter. Based on the results of the research was obtained in this research area, there were potential liquefactions when the peak ground acceleration (amax) value was above 0.3 g.


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