Ordinary Kriging and Spatial Autocorrelation Identification to Predict Peak Ground Acceleration in Banda Aceh City, Indonesia

2017 ◽  
pp. 318-325
Author(s):  
Rokhana D. Bekti ◽  
Edy Irwansyah ◽  
Bayu Kanigoro ◽  
Theodorick
Keyword(s):  
Spatial Autocorrelation ◽  
Ordinary Kriging ◽  
Peak Ground Acceleration ◽  
Ground Acceleration ◽  
Banda Aceh

scholarly journals Penentuan Nilai Percepatan Tanah Maksimum Terhadap Mitigasi Gempabumi Kabupaten Pidie Jaya, Provinsi Aceh

2020 ◽  
Vol 17 (1) ◽  
pp. 23-26
Author(s):  
Retno Agung ◽  
Alfian Indrajaya
Keyword(s):  
Peak Ground Acceleration ◽  
Disaster Mitigation ◽  
Geological Condition ◽  
Physiographic Unit ◽  
Ground Acceleration ◽  
Earthquake Disaster ◽  
Maximum Value ◽  
Geological Map ◽  
Banda Aceh ◽  
Earthquake Data

Penelitian ini dilakukan di daerah Kabupaten Pidie Jaya, yang secara geografis terletak pada koordinat 4˚54 ’15 .702 ’’ N - 5˚18 ’244 N dan 96˚1 ’13, 656 E - 96˚22 ’1.007 E. Fisiografi regional wilayah penelitian dimasukkan dalam peta geologi Banda Aceh, Lohk Seumawe, Takengon, dengan unit fisiografi Zona Kaki Bukit Barisan. Kondisi geologis daerah penelitian terdiri dari Batuan Pra-Tersier, Tersier, dan Kuarterner. Penelitian ini bertujuan untuk menghitung, menganalisis dan menentukan nilai Puncak Maksimal Percepatan Tanah, sehingga peta percepatan tanah dan peta zona mitigasi bencana gempa bumi dapat diperoleh untuk Kabupaten Pidie Jaya. Berdasarkan hasil pengolahan data gempa bumi di Kabupaten Pidie Jaya pada 7 Desember 2016 penulis menemukan nilai maksimum percepatan tanah puncak dengan menggunakan metode Boore (1997) adalah: 225,7 - 85,8 gal. Sementara itu dengan menggunakan metode Fukusima dan Tanaka (1992), hasilnya adalah: 115,0-115,0 gal. Dengan menggabungkan faktor-faktor litologi data sebagai data pendukung lainnya untuk pembobotan, penulis dapat menghasilkan Peta Zona Mitigasi Bencana Gempa Bumi, dari kategori rendah hingga kategori tinggi untuk kabupaten ini. This research was carried out in the Pidie Jaya Regency area, which geographycally situated at coordinates 4˚54 ‘15.702 ‘’ N - 5˚18 ‘2,244 N and 96˚1 ‘13,656 E - 96˚22 ‘1,007 E. Regional physiography of the study area is included in the geological map of Banda Aceh, Lohk Seumawe, Takengon, with the physiographic unit of the Bukit Barisan Foot Zone. The geological condition of the study area is composed of Pre-Tertiary, Tertiary and Quarternary Rocks. This study aims to calculate, analyze and determine the value of Maximum Peak of Ground  Acceleration, so that ground acceleration maps and earthquake disaster mitigation zone maps can be obtained for Pidie Jaya District. Based on the results of the earthquake data processing in Pidie Jaya Regency on December 7, 2016 the author find the maximum value of  peak ground  acceleration using the Boore method (1997) is: 225,7 - 85,8 gal. Meanwhile by using Fukusima and Tanaka method (1992), the result is: 115,0-115,0 gal. By combining those data lithological factors as other supporting data for weighting, the author could produces an Earthquake Disaster Mitigation Zone Map, from low category untill high category for this district.

scholarly journals The Comparison of Spatial Models in Peak Ground Acceleration (PGA) Study

2021 ◽  
pp. 27-33
Keyword(s):  
Ordinary Kriging ◽  
Peak Ground Acceleration ◽  
Spline Interpolation ◽  
Spatial Models ◽  
Ground Acceleration ◽  
Distance Weighted ◽  
Spline Interpolation Technique ◽  
Gis Software ◽  
Analysis Models ◽  
Inverse Distance

This study was conducted to compare the performance of three different spatial analysis models: Inverse Distance Weighted (IDW), Ordinary Kriging,­­ and Regularized Spline interpolation technique to determine the best fit model representing Peak Ground Acceleration (PGA) in West Java Province, Indonesia. The three models are commonly used in spatial visualization, but have different calculation methods. The calculations were performed using available formulas while the spatial modeling was conducted using the algorithms in GIS software. Meanwhile, the accuracy of the spatial model and factual calculation was determined through the Root Mean Square Error (RMSE). The results showed differences for both spatial distribution and maximum and minimum values for each model. However, IDW was observed to be the model which approaches the factual value of the PGA calculation as indicated by its RMSE value of 0.772352 in comparison with the 7.169879 (Ordinary Kriging) and 1.140802 (Regularized Spline).

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.

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.

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.

PEMETAAN ZONA RESIKO GEMPABUMI BERDASARKAN PEAK GROUND ACCELERATION TERHADAP ENERGI DAN SUMBERDAYA MINERAL DI PROVINSI MALUKU UTARA

2021 ◽  
pp. 171
Author(s):  
Aditya Saifuddin ◽  
Enni Intan Pertiwi
Keyword(s):  
Peak Ground Acceleration ◽  
Ground Acceleration

Maluku Utara merupakan salah satu provinsi di Indonesia yang tercatat sebagai wilayah yang sering terjadi gempa karena terletak di pertemuan Lempeng Eurasia, Lempeng Pasifik, Lempeng Mikro Halmahera, dan Lempeng Oceanic Laut Maluku. Selain itu Maluku Utara juga tercatat sebagai penyumbang besar Penerimaan Negara Bukan Pajak (PNBP) di sektor pertambangan. Pemetaan zona resiko bencana gempabumi berdasarkan intensitas keaktifan gempa dapat digunakan sebagai inovasi teknologi guna mengetahui spesifikasi daerah yang memiliki resiko tinggi karena dalam penganalisisan ini memperhitungkan percepatan getaran tanah maksimum akibat gempa bumi yang diperoleh berdasarkan data gempabumi yang terjadi pada kurun waktu 2000-2020 dengan memperhatikan besarnya Magnitudo dan jarak Hiposenternya. Hasil penganalisisan Peak Ground Acceleration (PGA) ditampilkan dalam bentuk peta dan juga ditumpang susunkan dengan peta wilayah izin usaha tambang yang dikeluarkan oleh Kementrian Energi dan Sumberdaya Mineral (ESDM) sehingga hasil akhir diperoleh zona wilayah izin tamabang berdasarkan tingkat resiko bahaya gempabumi.

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.

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