scholarly journals Correlation Analysis of Spatial Distribution, Temporal Seismotectonics, and Return Period of Earthquake in East Nusa Tenggara, Indonesia

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Hery Leo Sianturi ◽  
Adi Susilo ◽  
Sunaryo ◽  
Sukir Maryanto
Keyword(s):  
Spatial Distribution ◽  
Return Period ◽  
B Value ◽  
Earthquake Catalog ◽  
Likelihood Methods ◽  
Small Magnitude ◽  
A Value ◽  
Maximum Likelihood Methods ◽  
High Level ◽  
Earthquake Data

This paper presents spatial distribution, temporal seismotectonics, and return period of earthquake in East Nusa Tenggara Province, Indonesia, using earthquake data and Maximum Likelihood methods. The data used are ISC, USGS/NEIC, and Indonesian Meteorology, Climatology and Geophysics Agency (IMCGA) earthquake catalog data for the period of 1918 to 2015. The results show that the a-value ranges from 5.0 to 8.5 and b-value ranges from 0.6 to 1.3. The pattern of spatial distribution of b-value is relatively low corresponding to the low of a-value, which means the high level of stress of rock in the area. The fractal dimension shows that the D value ranges from 1.384 to 1.874. The earthquake that occurred in East Nusa Tenggara Province was dominated by a small magnitude with great seismicity and the fastest return period is in Alor and Timor islands which is 44 days.

Quantitative seismicity maps of India

1972 ◽  
Vol 62 (5) ◽  
pp. 1119-1132 ◽  
Author(s):  
K. L. Kaila ◽  
V. K. Gaur ◽  
Hari Narain
Keyword(s):  
Return Period ◽  
West Coast ◽  
Active Zone ◽  
East Coast ◽  
Indian Subcontinent ◽  
B Value ◽  
Tibet Plateau ◽  
The West ◽  
Period Map ◽  
A Value

Abstract Using the Kaila and Narain (1971) method, three quantitative seismicity maps have been prepared for the Indian subcontinent which are compared with regional tectonics. These are the A-value map, the b-value map and the return-period map for earthquakes with magnitude 6 and above where A and b are the constants in the cumulative regression curve represented by log N = A - bM. The A-value seismicity map shows that India can be divided into two broad seismic zones, the northern seismically highly active zone and the southern moderately active zone. In the northern active zone, a number of seismic highs have been delineated such as the Pamir high, the northwest-southeast trending Srinagar-Almora high, the Shillong massif high, the Arakan Yoma high and the West Pakistan highs. These seismic highs are consistent with the Himalayan tectonic trends. Contrary to this, two seismic highs fall in the Tibet plateau region which align transversely to the main Himalayan trend. In the southern moderately active zone, two seismic highs are clearly discernible, the east and the west coast high, the latter being seismically more active than the former. The least active zone encompasses the Vindhyan syncline and the areas of Delhi and Aravalli folding. Between this zone and the east coast high lies another moderately active zone which encloses the Godavari graben, western part of the Mahanadi graben and the Chattisgarh depression. The b-value seismicity map also demarcates the same active zones as are brought out on the A-value map. The return-period map of India for earthquakes with magnitude 6 and above shows a minimum return period of 100 years in the Pamirs, about 130 years in the various seismic highs in the northern active zone, 180 years on the west coast high, 200 years on the east coast high and about 230 years in the least active Vindhyan-Aravalli zone and the Hyderabad-Kurnool area. These quantitative seismicity maps are also compared with the seismic zoning map of Indian Standards Institution and seismicity maps of India prepared by other workers.

scholarly journals Analisis Percepatan Tanah Maksimum, Intensitas Maksimum Dan Periode Ulang Gempa Untuk Menentukan Tingkat Kerentanan Seismik Di Jawa Barat (Periode Data Gempa Tahun 1974-2016)

Wahana Fisika ◽  
2017 ◽  
Vol 2 (2) ◽  
pp. 12
Author(s):  
Elza Anisa Suwandi ◽  
Indriana Lucky Sari ◽  
Waslaluddin Waslaluddin
Keyword(s):  
Return Period ◽  
Seismic Vulnerability ◽  
B Value ◽  
Maximum Intensity ◽  
Likelihood Method ◽  
Earthquake Catalog ◽  
Earthquake Intensity ◽  
West Java ◽  
Ground Acceleration ◽  
Maximum Earthquake

Penelitian ini bertujuan untuk menentukan tingkat kerentanan seismik di Jawa Barat berdasarkan data gempa bumi periode tahun 1974 – 2016 dengan  Ms≥4.0 SR yang diperoleh dari katalog gempa NEIC-USGS pada batasan wilayah 5°36’18’’ LS - 8°58’30’’ LS dan 106°9’ BT – 109°59’2.4’’ BT menggunakan Metode Donovan dan Metode Matuschka. Penelitian ini dilakukan terhadap 1543 titik pengamatan. Sedangkan untuk menentukan periode ulang gempa, sebelumnya dilakukan pembagian wilayah menjadi 5 wilayah dan menentukan b value juga indeks seismisitas terlebih dahulu menggunakan Metode Likelihood. Dari hasil analisis menunjukkan bahwa percepatan tanah maksimum Metode Donovan berkisar antara 27.76 Gal – 110.01 Gal dan intensitas gempa maksimumnya  VII MMI – VIII MMI. Sedangkan, percepatan tanah maksimum Metode Matuschka berkisar antara 69.16 Gal – 229.55 Gal dan intensitas gempa maksimumnya VI MMI – VIII MMI. Berdasarkan hasil kedua metode tersebut dapat dikorelasikan dengan frekuensi gempa dan event gempa yang merusak di Jawa Barat dari rentang 42 tahun, didapat metode yang sesuai dengan wilayah keadaan Jawa Barat yaitu Metode Matuschka. Selain itu diperoleh periode ulang gempa berdasarkan b value yang  berkisar antara 0.40 – 0.79 dan indeks seismisitas yang berkisar antara 0.21 – 0.85 yaitu 33 – 125 tahun. Tingkat kerentanan seismik tertinggi di Jawa Barat berada di daerah Cianjur, kecamatan Cidaun tepatnya pada koordinat 7°28’39.047’’ LS dan 107°16’44.213’’ BT. Tingginya kerentanan seismik diakibatkan oleh tingginya nilai percepatan tanah maksimum  This research aims to determine the level of seismic vulnerability in West Java based on earthquake data period 1974 - 2016 with Ms≥4.0 SR Obtained from the NEIC-USGS earthquake catalog on the territorial boundaries 5°36’18’’ LS - 8°58’30’’ LS dan 106°9’ BT – 109°59’2.4’’ BT using the Donovan Method and the Matuschka Method. The study was conducted on 1543 observation points. Meanwhile, to determine the return period of the earthquake, previously done division into 5 areas and determine the b value also seismicity index first using Likelihood Method. From the analysis results show that the maximum land acceleration Donovan Method ranged between 27.76 Gal – 110.01 Gal and maximum earthquake intensity VII MMI – VIII MMI. Meanwhile, the maximum ground acceleration Matuschka method ranges between 69.16 Gal - 229.55 Gal and maximum earthquake intensity VI MMI - VIII MMI. Based on the results of both methods can be correlated with the frequency of earthquakes and destructive earthquake events in West Java from the span of 42 years, the method obtained in accordance with the region of West Java circumstances is Matuschka method. In addition, the earthquake return period based on b values ranging from 0.40 to 0.79 and seismicity index ranging from 0.21 to 0.85 is 33 – 125 years. The highest level of seismic vulnerability in West Java is located in Cianjur area, Cidaun sub-district precisely in coordinates 7°28’39.047’’ LS dan 107°16’44.213’’ BT. The high seismic vulnerability is due to the high maximum land acceleration rate, maximum intensity of the earthquake and short period of earthquake repetition in the area. : Seismic Vulnerability Level, Peak Ground Acceleration, Maximum Intensity of Earthquake, Earthquake Re-Period

scholarly journals ANALISIS TINGKAT SEISMISITAS DAN TINGKAT KERAPUHAN BATUAN DI MALUKU UTARA

2015 ◽  
Vol 17 (1) ◽  
pp. 94
Author(s):  
Vienda Gaby Lumintang ◽  
Guntur Pasau ◽  
Seni J Tongkukut
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
B Value ◽  
Likelihood Method ◽  
Earthquake Catalog ◽  
Maximum Likelihood Analysis ◽  
Repetition Period ◽  
Earthquake Recurrence ◽  
A Value ◽  
Likelihood Analysis

ANALISIS TINGKAT SEISMISITAS DAN TINGKAT KERAPUHAN BATUAN DI MALUKU UTARA ABSTRAK Telah dilakukan penelitian untuk menentukan tingkat seismisitas dan tingkat kerapuhan batuan melalui perhitungan nilai a dan b secara spasial di Maluku Utara menggunakan katalog gempa ANSS tahun 1963-2015 dengan metode maksimum likelihood, menghitung kemungkinan waktu terjadinya kembali gempa bumi merusak secara spasial, serta untuk menenentukan daerah-daerah yang sangat rawan berpotensi gempa merusak di wilayah Maluku Utara. Perhitungan nilai a dan b dari data ANSS untuk wilayah Maluku Utara menunjukkan besar nilai b adalah berkisar pada 0,75-1,5 dan nilai a adalah berkisar pada 6,5-10. Periode ulang gempa bumi untuk wilayah Maluku Utara dengan magnitude Mw = 6,5 adalah 3-19 tahun, gempa dengan magnitude Mw = 7 adalah 5-52 tahun, dan gempa dengan magnitude Mw = 7,5 adalah 15-140 tahun. Daerah-daerah yang berpotensi mengalami gempa bumi merusak adalah wilayah Laut Maluku, Ternate, Tidore, sebagian wilayah Kabupaten Halmahera Utara dan Barat, Pulau Kasiruta dan Pulau Obi. Kata kunci: nilai-b, seismisitas, maximum likelihood   ANALYSIS OF SEISMICITY LEVEL AND ROCKS FRAGILITY LEVEL IN NORTH MALUKU ABSTRACT A research has ben conducted to determine the seismicity level and rocks fragility level through spatially calculation of a  value and b value in North Maluku using ANSS earthquake catalog of years 1963-2015 with maximum likelihood method, spatially calculate possible time of  destructive earthquake recurrence, and to determine areas that highly prone to potentially destructive earthquake in North Maluku. A value and b value calculation of ANSS data of North Maluku region shows that b value is in the range of 0.75-1.5 and a value is in the range of 6.5-10. Earthquake repetition period of North Maluku region based on ANSS data with magnitude Mw = 6.5 is 3-19 years, for earthquake with magnitude Mw = 7 is 5-52 years and for earthquake with magnitude Mw = 7.5 is 15-140 years. Areas that potentially have destructive earthquake is Molucca Sea region, Ternate, Tidore, parts of North and West Halmahera District, Kasiruta Island and Obi Island. Keywords: b value, seismicity, maximum likelihood

scholarly journals Determination of temporal value of a-value and b-value to identify the level brittle of rock and seismic activity in the Palu region

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Afryanti Veronika Simangunsong ◽  
Ramadhan Priadi ◽  
Anak Agung Istri Dwilyantari ◽  
Agus Marsono
Keyword(s):  
Maximum Likelihood ◽  
Seismic Activity ◽  
B Value ◽  
B Values ◽  
A Value ◽  
Calculation Results ◽  
Resistance To Stress ◽  
Index Value ◽  
Earthquake Data

<span lang="EN-US">The Palu area is a region that has a high seismic potential as a result of the existence of the Palu Koro Fault. The Koro Palu Fault is an active sinistral fault that moves with velocity around 25-30 mm/year. This research purpose to determine the a-value and b-value temporally for identify rock brittle levels and seismicity levels in the Palu area using the Maximum Likelihood Guttenberg-Richter method. The data used in this study are earthquake data from the BMKG and USGS catalogs for 2008-2018 over a period of 10 years located at 0840 LU 40 2.620LS and 118,590 BT - 121.70 BT. Based on the results of data processing, there were 3033 earthquake distributions in the earthquake over a 10-year period. The calculation results show variations in the value of b-values in the range 0.55-0.961 and the a-value in the range 3.63-5.42. The highest b-value was obtained in 2015 at 0.961 as an indication of increased seismic activity in the Palu area. After the Palu M 7.4 earthquake on 28 September  2018, there was a significant decrease in the value of the b-value to 0.685. Based on the trend of b-value values which continued to decline from 2015 until 2018, it was identified in the rock's resistance to stress is high in the Palu area. Whereas for the seismicity index value of the Palu area of 0.040789 with the earthquake return period 7 is 25 years. </span>

Spatial and time variations of seismicity before strong earthquakes in the southern part of the Balkans

2021 ◽  
Vol 64 (4) ◽  
pp. SE433
Author(s):  
Emil Iliev Oynakov ◽  
Emil Aleksandrov Botev
Keyword(s):  
B Value ◽  
Seismic Quiescence ◽  
Earthquake Catalog ◽  
Statistical Parameters ◽  
The Balkans ◽  
A Value ◽  
Joint Interpretation ◽  
Time Variations ◽  
Spatial Window ◽  
The University

A retrospective analysis of the spatial and time variations of three main statistical parameters of the seismicity before recent 4 stronger earthquakes (2015 – 2020) in the southern Balkans is presented. The modern extended software package ZMAP with various advanced seismological functions for earthquake catalog analysis is used for estimating the spatial-time variations in a- value (seismic activity), b-value (slope of the recurrence graph) and z-value (parameter of the relative seismic quiescence). The catalog data from constantly updated catalog of the University of Athens for the period 1964-2020 and spatial window 32° - 44° N and 10° – 30° E are used for the various statistical interpretations. The main result of the whole analysis is that the abnormally low b-values and high z-values, defining the zones of relatively seismic quiescence, may be an indicator of imminent release of more significant stress in areas adjacent to the zones of relatively high a-values. Thus, the result of the proposed joint interpretation of the spatial-time variations of these three statistical parameters of seismicity could be considered as a kind of predictor of the stronger recent seismic events in the southern part of Balkans.

scholarly journals Effects of Camu-Camu (Myrciaria dubia) Powder on the Physicochemical and Kinetic Parameters of Deteriorating Microorganisms and Salmonella enterica Subsp. enterica Serovar Typhimurium in Refrigerated Vacuum-Packed Ground Beef

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 252
Author(s):  
Jorge Luiz da Silva ◽  
Vasco Cadavez ◽  
José M. Lorenzo ◽  
Eduardo Eustáquio de Souza Figueiredo ◽  
Ursula Gonzales-Barron
Keyword(s):  
Ground Beef ◽  
Treated Group ◽  
B Value ◽  
Kinetics Parameters ◽  
Psychrotrophic Bacteria ◽  
Color Changes ◽  
A Value ◽  
Spoilage Bacteria ◽  
Serovar Typhimurium ◽  
And Control

This study aims to evaluate the effects of camu-camu powder (CCP), Amazonian berry fruit with documented bioactive properties, physicochemical meat parameters, and the growth kinetics parameters of S. enterica ser. Typhimurium, psychrotrophic bacteria (PSY), and lactic acid bacteria (LAB) in vacuum-packed ground beef. Batches of ground beef were mixed with 0.0%, 2.0%, 3.5%, and 5.0% CCP (w/w), vacuum-packed as 10 g portions, and stored at 5 °C for 16 days. Centesimal composition analyses (only on the initial day), pH, TBARS, and color were quantified on storage days 1, 7, and 15, while PSY and LAB were counted on days 0, 3, 6, 9, 13, and 16. Another experiment was conducted with the same camu-camu doses by inoculating S. enterica ser. Typhimurium microbial kinetic curves were modeled by the Huang growth and Weibull decay models. CCP decreased TBARS in beef from 0.477 to 0.189 mg MDA·kg−1. No significant differences in meat pH between treated and control samples were observed on day 15. CCP addition caused color changes, with color a* value decreases (from 14.45 to 13.44) and color b* value increases (from 17.41 to 21.25), while color L* was not affected. Higher CCP doses caused progressive LAB growth inhibition from 0.596 to 0.349 log CFU·day−1 at 2.0% and 5.0% CCP, respectively. Similarly, PSY growth rates in the treated group were lower (0.79–0.91 log CFU·day−1) compared to the control (1.21 log CFU·day−1). CCP addition at any of the investigated doses produced a steeper S. enterica ser. Typhimurium inactivation during the first cold storage day, represented by Weibull’s concavity α shape parameter, ranged from 0.37 to 0.51, in contrast to 1.24 for the control. At the end of the experiment, however, S. enterica ser. Typhimurium counts in beef containing CCP were not significantly different (p < 0.05) from the control. Although CCP affects bacterial kinetics, it does not protect ground beef against spoilage bacteria and Salmonella to the same degree it does against lipid peroxidation.

scholarly journals Selecting between causal and noncausal models with quantile autoregressions

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alain Hecq ◽  
Li Sun
Keyword(s):  
Time Series ◽  
Maximum Likelihood ◽  
Latin American ◽  
Financial Time Series ◽  
Selection Criterion ◽  
Likelihood Methods ◽  
Approximate Maximum Likelihood ◽  
Financial Time ◽  
Maximum Likelihood Methods ◽  
Latin American Countries

AbstractWe propose a model selection criterion to detect purely causal from purely noncausal models in the framework of quantile autoregressions (QAR). We also present asymptotics for the i.i.d. case with regularly varying distributed innovations in QAR. This new modelling perspective is appealing for investigating the presence of bubbles in economic and financial time series, and is an alternative to approximate maximum likelihood methods. We illustrate our analysis using hyperinflation episodes of Latin American countries.

Sign in / Sign up

Export Citation Format

Share Document