The preliminary results of Lindu software: a free seismological data processing using python framework

Padjadjaran Earth Dialogues, International Symposium on Geophysical Issues

Styawan, Yudha^1 ; Andika, Putu Pradnya^1 ; Suhendi, Cahli^1 ; Firdaus, Ruhul^1 ; Sudibyo, Maria R.P.^1 ; Erlangga, I.F.^1 ; Ry, Rexha Verdhora^2

Geophysical Engineering, Institut Teknologi Sumatera, Jalan Terusan Ryacudu, Way Hui Jati Agung, Way Huwi, Jati Agung, Lampung Selatan

35365, Indonesia^1

Geophysical Engineering, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung

40132, Indonesia^2

关键词: Akaike information criterion;    Common projects;    Double differences;    Earthquake data;    Event location;    Regional scale;    Seismological data;    User friendly;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/311/1/012078/pdf
DOI  :  10.1088/1755-1315/311/1/012078

来源: IOP

【 摘 要 】

LINDU software is developed to solve integrated earthquake data processing. It is GUI based software that fulfil the needed for user friendly type of software. The Python framework is used for computation and visualization and integrates the common programs for earthquake data processing, such as GAD.exe, JHD.exe, and HypoDD.exe. It is also integrates the common procedure of routine data processing in earthquake seismology and works in local and regional scale. In this paper, we shows the preliminary results of LINDU software for several functions. To identify arrival time of P-wave we employ Akaike Information Criterion (AIC), MER (Modified Energy Ratio) and S/L Kurt's method. The results of these method will be considered as guided - auto picking. However, the results also can be treated as reference for picking manually with Seisgram2k.jar. Geiger's method is employed to locate the event location. The events can be relocated and 1D velocity can be updated by employing Joint Hypocenter Determination (JHD). The next method to relocate the event location is Double Difference (DD) algorithm. The precision result of Lindu software has been tested using IRIS and real data available which run seamlessly.