scholarly journals Earthquake hazard zonation using peak ground acceleration (PGA) approach

2013 ◽  
Vol 423 ◽  
pp. 012067 ◽  
Author(s):  
E Irwansyah ◽  
E Winarko ◽  
Z E Rasjid ◽  
R D Bekti
Keyword(s):  
Peak Ground Acceleration ◽  
Earthquake Hazard ◽  
Hazard Zonation ◽  
Ground Acceleration

scholarly journals Seismic hazard assessment of Iran

1999 ◽  
Vol 42 (6) ◽  
Author(s):  
B. Tavakoli ◽  
M. Ghafory-Ashtiany
Keyword(s):  
Seismic Hazard ◽  
Peak Ground Acceleration ◽  
Grid Point ◽  
Seismic Hazard Assessment ◽  
Earthquake Hazard ◽  
Seismic Source ◽  
Historical Earthquakes ◽  
Earthquake Insurance ◽  
Ground Acceleration ◽  
Seismic Source Models

The development of the new seismic hazard map of Iran is based on probabilistic seismic hazard computation using the historical earthquakes data, geology, tectonics, fault activity and seismic source models in Iran. These maps have been prepared to indicate the earthquake hazard of Iran in the form of iso-acceleration contour lines, and seismic hazard zoning, by using current probabilistic procedures. They display the probabilistic estimates of Peak Ground Acceleration (PGA) for the return periods of 75 and 475 years. The maps have been divided into intervals of 0.25 degrees in both latitudinal and longitudinal directions to calculate the peak ground acceleration values at each grid point and draw the seismic hazard curves. The results presented in this study will provide the basis for the preparation of seismic risk maps, the estimation of earthquake insurance premiums, and the preliminary site evaluation of critical facilities.

scholarly journals ANALISA TINGKAT BAHAYA DAN KERENTANAN BENCANA GEMPA BUMI DI WILAYAH NUSA TENGGARA TIMUR (NTT)

2017 ◽  
Vol 18 (1) ◽  
pp. 32 ◽  
Author(s):  
Ni Made Rysnawati ◽  
I Ketut Sukarasa ◽  
Ida Bagus Alit Paramarta
Keyword(s):  
Population Density ◽  
Peak Ground Acceleration ◽  
Earthquake Hazard ◽  
High Population Density ◽  
Vulnerability Factors ◽  
Ground Acceleration ◽  
The North ◽  
Two Factors ◽  
Back Arc ◽  
Very High

East Nusa Tenggara is a region in Indonesia which included in the category of hazard prone to earthquakes, because it is flanked by two earthquakes zones, (subduction zone at the south and back arc trust in the north). It is also vulnerable to earthquake disasters because of high population density. These conditions would threaten the safety of lives and property of the population, so it needs to be research to analyze the level of earthquake hazard and vulnerability in East Nusa Tenggara. For identification of the level of hazard and the vulnerability of the earthquake in this study using two factors: the danger factor with indicator Peak Ground Acceleration, vulnerability factors with indicators of population density districts in East Nusa Tenggara. The calculation of the value of PGA use attenuation function of Fukushima and Tanaka. From the calculation of the data obtained that has a very high earthquake hazard is in Ende and Alor district, while the district has a very high risk of vulnerability is in Sikka, Sumba Barat Daya and Sabu Raijua.  

scholarly journals Probabilistic seismic hazard assessment in Greece – Part 3: Deaggregation

2010 ◽  
Vol 10 (1) ◽  
pp. 51-59 ◽  
Author(s):  
G-A. Tselentis ◽  
L. Danciu
Keyword(s):  
Seismic Hazard ◽  
Peak Ground Acceleration ◽  
Seismic Hazard Assessment ◽  
Earthquake Hazard ◽  
Earthquake Magnitude ◽  
Probabilistic Seismic Hazard Assessment ◽  
Hazard Maps ◽  
Ground Acceleration ◽  
Dense Grid ◽  
Motion Parameters

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.

scholarly journals Seismic Hazard Assessment for Thuong Tan-Tan My Quarries (Vietnam)

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Cao Dinh Trong ◽  
Xuan-Nam BUI ◽  
Pham NAM HUNG ◽  
Thai ANH TUAN ◽  
Mai XUAN BACH ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Peak Ground Acceleration ◽  
Seismic Hazard Assessment ◽  
Earthquake Hazard ◽  
Peak Ground Velocity ◽  
Ground Displacement ◽  
Ground Acceleration ◽  
Probability Of Exceedance ◽  
S Peak

This paper presents the seismic hazard assessment for Thuong Tan-Tan My quarries in Di An commune, Binh Duong province, Vietnam. Combination methods of gravity and magneto-telluric were used to estimate the dip angle and the width of the seismic source. The highest water column of 160 m will cause direct stress on the reservoir bottom with a maximum value of 1535.600 kPa and Coulomb stress of 68.693 kPa (at a depth of 2 km). The typical components of natural earthquake hazard (Mn.max = 5.0, depth of 10 km) in Thuong Tan - Tan My reservoir have the following values: peak ground acceleration PGA = 0.073 g ÷ 0.212 g; peak ground velocity PGV = 2.662 cm/s ÷ 7.984 cm/s; peak ground displacement PGD = 0.706 cm ÷ 1.918 cm at 10% probability of exceedance in 50 years. The typical components of triggered earthquake hazard (Mtr.max = 3.5, depth of 6 km) in Thuong Tan - Tan My reservoir have the following values: peak ground acceleration PGA = 0.024 g ÷ 0.172 g; peak ground velocity PGV = 0 ÷ 5.484 cm/s; peak ground displacement PGD = 0.061 cm ÷ 0.461 cm at 10% probability of exceedance in 50 years.

scholarly journals Sistem Informasi Geografis (SIG) untuk Zonasi Daerah Bahaya Kerusakan Bangunan Akibat Gempa Bumi: Studi Kasus pada Kota Banda Aceh dan Sekitarnya

2012 ◽  
Vol 3 (1) ◽  
pp. 645
Author(s):  
Edy Irwansyah ◽  
Iqbal S. ◽  
M. Ikhsan ◽  
R. I Made Oka Yoga
Keyword(s):  
Peak Ground Acceleration ◽  
Design Method ◽  
Earthquake Hazard ◽  
Building Damage ◽  
Flow Diagram ◽  
Ground Acceleration ◽  
Analysis And Design ◽  
Entity Relationship Diagram ◽  
Surrounding Areas ◽  
Banda Aceh

This study aims to develop a geographic information system software that has the ability to develop hazard area zoning of building damage due to earthquake, especially in Banda Aceh and the surrounding areas using peak ground acceleration (PGA) value approach. Analysis and design methods are implemented in this study. The analytical method consists of two stages, namely seismic data collection period 1973 - 2011 by magnitude more than 5 on the Richter scale and the calculation of earthquake acceleration on bedrock using the attenuation function of Crouse. The design method comprises several structured stages, which are designing: data flow diagram (DFD), entity relationship diagram (ERD), menus, screens, and state transition diagrams (STD). The main conclusions of this study is that a GIS -based local zoning of earthquake hazard risk can be built and developed with calculation and classification approach of the peak ground acceleration (PGA). In addition, there is a relationship significant spatial found by comparing the results with the zoning patterns of building damage in the earthquake of 2004.

scholarly journals An Estimation of Earthquake Impact to Population in Makassar by Probabilistic Approach

2016 ◽  
Vol 30 (2) ◽  
pp. 158
Author(s):  
Bambang Sunardi ◽  
Sulastri Sulastri
Keyword(s):  
Peak Ground Acceleration ◽  
Probabilistic Approach ◽  
Population Data ◽  
Earthquake Hazard ◽  
Seismic Hazards ◽  
Spectral Acceleration ◽  
Ground Acceleration ◽  
South West ◽  
Rapid Growth Rate ◽  
Probabilistic Earthquake Hazard

Makassar is one of Indonesian big cities with rapid growth rate, but not totally safe from earthquake hazard. This condition led study on affected population by earthquakes in this city are important to do. This paper estimated the population of Makassar City threatened by the probabilistic earthquake hazard. In this current study, earthquake hazard in the forms of peak ground acceleration (PGA) and spectral acceleration,  estimated by using Probabilistic Seismic Hazards Analysis (PSHA). The PSHA result then overlaid with administration map and population data to obtain distribution and percentage of population threatened by the probabilistic earthquake hazard. The results showed the smallest value of ground acceleration located in the south-west (Tamalate sub district), further north increased and reached the highest value in the northeast (Biring Kanaya sub district). Both Tamalate and Biringkanaya can be classified as rural area with low population density.  The urban area of Makassar, which is the concentration of population, located in the centre of Makassar, got the middle earthquake hazard.

Analisis Percepatan Tanah Puncak Akibat Gempa Pada Kota Sorong Sebagai Upaya Mitigasi Bencana

2018 ◽  
Vol 4 (2) ◽  
pp. 14
Author(s):  
Imam Trianggoro Saputro ◽  
Mohammad Aris
Keyword(s):  
Peak Ground Acceleration ◽  
Ground Acceleration ◽  
Papua Barat

Sorong merupakan salah satu kota yang terletak di Provinsi Papua Barat. Daerah ini memiliki tingkat kerentanan yang tinggi terhadap ancaman bahaya gempa bumi karena lokasinya terletak di antara pertemuan lempengan tektonik dan beberapa sesar aktif. Tingkat kerawanan terhadap gempa pada daerah ini cukup tinggi. Pada September 2016, BMKG mencatat bahwa terjadi gempa bumi dengan skala magnitudo sebesar 6,8 SR (Skala Ritcher) dengan kedalaman 10 meter dari permukaan laut dan berjarak 31 km arah timur laut kota Sorong. Gempa ini bersifat merusak. Akibat gempa ini, sebanyak 62 orang terluka dan 257 rumah rusak. Untuk itu diperlukan suatu analisis terhadap percepatan tanah puncak (Peak Ground Acceleration) terbaru sebagai langkah mitigasi yang nantinya dapat digunakan untuk perencanaan gedung tahan gempa.Pengumpulan data gempa pada peneltian ini yaitu data gempa yang terjadi sekitar kota Sorong pada rentang waktu 1900-2017. Data gempa yang diambil adalah yang berpotensi merusak struktur yaitu dengan magnitudo (Mw) ≥ 5 dengan radius gempa 500 km dari kota Sorong dan memiliki kedalaman antara 0 - 300 km. Setelah diperoleh data gempa maka dibuat peta sebaran gempa di wilayah kota Sorong. Percepatan tanah puncak dihitung berdasarkan fungsi atenuasi matuscha (1980) dan menggunakan pendekatan metode Gumbel.Hasil penelitian menunjukkan bahwa nilai percepatan tanah puncak (PGA) di wilayah kota Sorong pada periode ulang 2500 tahun atau menggunakan probabilitas terlampaui 2% dalam 50 tahun umur rencana bangunan diperoleh sebesar 708.9520 cm/dt2 atau 0.7227 g. Apabila melihat peta gempa SNI 1726-2012 yang menggunakan probabilitas yang sama maka nilai percepatan tanah puncak (PGA) ketika gempa bumi berkisar antara 0.4 g - 0.6 g. Nilai ini mengalami peningkatan yang berarti tingkat resiko terhadap gempa bumi pada wilayah kota Sorong meningkat.

Earthquake hazard zonation of Sikkim Himalaya using a GIS platform

2007 ◽  
Vol 45 (3) ◽  
pp. 333-377 ◽  
Author(s):  
Indrajit Pal ◽  
Sankar Kumar Nath ◽  
Khemraj Shukla ◽  
Dilip Kumar Pal ◽  
Abhishek Raj ◽  
...  
Keyword(s):  
Earthquake Hazard ◽  
Hazard Zonation ◽  
Sikkim Himalaya ◽  
Gis Platform

A Geospatial Liquefaction Model for Rapid Response and Loss Estimation

2015 ◽  
Vol 31 (3) ◽  
pp. 1813-1837 ◽  
Author(s):  
Jing Zhu ◽  
Davene Daley ◽  
Laurie G. Baise ◽  
Eric M. Thompson ◽  
David J. Wald ◽  
...  
Keyword(s):  
Peak Ground Acceleration ◽  
Loss Estimation ◽  
Rapid Response ◽  
Ground Acceleration ◽  
Explanatory Variables ◽  
First Order ◽  
Database Development ◽  
Digital Elevation ◽  
Compound Topographic Index ◽  
Distance Parameter

We describe an approach to model liquefaction extent that focuses on identifying broadly available geospatial variables (e.g., derived from digital elevation models) and earthquake-specific parameters (e.g., peak ground acceleration, PGA). A key step is database development: We focus on the 1995 Kobe and 2010–2011 Christchurch earthquakes because the presence/absence of liquefaction has been mapped so that the database is unbiased with respect to the areal extent of liquefaction. We derive two liquefaction models with explanatory variables that include PGA, shear-wave velocity, compound topographic index, and a newly defined normalized distance parameter (distance to coast divided by the sum of distance to coast and distance to the basin inland edge). To check the portability/reliability of these models, we apply them to the 2010 Haiti earthquake. We conclude that these models provide first-order approximations of the extent of liquefaction, appropriate for use in rapid response, loss estimation, and simulations.

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